More than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\\n\\n
Our breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\\n\\n
“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\\n\\n
Additionally, each book published by IntechOpen contains original content and research findings.
\\n\\n
We are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
Simba Information has released its Open Access Book Publishing 2020 - 2024 report and has again identified IntechOpen as the world’s largest Open Access book publisher by title count.
\n\n
Simba Information is a leading provider for market intelligence and forecasts in the media and publishing industry. The report, published every year, provides an overview and financial outlook for the global professional e-book publishing market.
\n\n
IntechOpen, De Gruyter, and Frontiers are the largest OA book publishers by title count, with IntechOpen coming in at first place with 5,101 OA books published, a good 1,782 titles ahead of the nearest competitor.
\n\n
Since the first Open Access Book Publishing report published in 2016, IntechOpen has held the top stop each year.
\n\n\n\n
More than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\n\n
Our breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\n\n
“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\n\n
Additionally, each book published by IntechOpen contains original content and research findings.
\n\n
We are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
\n\n
\n\n
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\r\n\tNatural food items are still in utilization in this modern era of digitalization and technological advancements. Among various natural products, honey cannot be ignored, as it is a supersaturated solution of sugars along with complex chemical composition prepared by honeybees in the bee-hive. The complex chemical composition is dependent on beekeeping practices, climatic conditions, type of honeybee species, and botanical source. It is a complex mixture of numerous types of bioactive components such phenolic, enzymes, organic acids, peptides, vitamins, minerals, and antioxidants which have health-promoting potential against various types of diseases in the liver, gastrointestinal, cardiovascular, cancer, wound healing, and many other. It is considered the oldest medicine and is being studied as a therapeutic agent in modern medicine due to its inhibitory effect against microbial infections. Additionally, it acts as a natural preservative in many food applications. There is a plethora of literature that describes the physicochemical, geographical origin, and authentication of honey in this modern era. This book will aim to cover all the aspects that may affect the quality and composition of the honey starting from bee-keeping practices to end product utilization.
\r\n
\r\n\tThis book will also aim to include conventional and novel technologies such as spectroscopic, chromatographic, and non-thermal applications for the physicochemical characterization and authentication of honey and honey-based products. The clinical, pharmacological, and therapeutic potential of honey and its products are also intended to be included in this book.
",isbn:"978-1-80356-270-4",printIsbn:"978-1-80356-269-8",pdfIsbn:"978-1-80356-271-1",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"60482dae5e08f5b22b0c7a2749cdfc02",bookSignature:"Dr. Muhammad Imran, Dr. Muhammad Haseeb Ahmad and Dr. Rabia Shabir Ahmad",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11802.jpg",keywords:"Honey Production, Beehives, Apiculture, Beekeeping Practices, Pharmacological Importance, Honey Efficacy, Honey Therapeutic Potential, Honey Characterization, Honey Functional Components, Honey Analysis, Honey Products, Modern Techniques",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"February 11th 2022",dateEndSecondStepPublish:"April 14th 2022",dateEndThirdStepPublish:"June 13th 2022",dateEndFourthStepPublish:"September 1st 2022",dateEndFifthStepPublish:"October 31st 2022",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"3 months",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"A renowned researcher in the field of Food Science, Technology, and Nutrition. 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He won the Indigenous and IRSIP (Department of Food Science and Human Nutrition, Michigan State University, East Lansing, USA) Fellowships for completion of doctorate research funded by HEC, Islamabad, Pakistan. Dr. Muhammad Imran has expertise in extrusion technology, microencapsulation, lipids chemistry, sensory evaluation, and food process engineering. Until today, Dr. Muhammad Imran has authored 80 publications (International & National) in various Impact Journals of Scientific repute and written 15 Book Chapters as principal author and co-author. 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1. Introduction
1.1 Lycopene: chemical definition and metabolism
Lycopene, a major dietary carotenoid pigment responsible for the red color, is synthesized by plants and microorganisms [1]. It is mostly found in tomatoes and tomato products, albeit there is a small amount of lycopene in few other fruits, including watermelon, papaya, guava, and pink grapefruit [2]. Lycopene is one of the six most abundant carotenoids (others being α-carotene, β-carotene, β-cryptoxanthin, lutein, and zeaxanthin) in circulation in humans [3]. It has been shown that lycopene exerts cancer-preventive or chemopreventive properties against several cancer types, including prostate, lung, and colon cancers [4].
Lycopene has a chemical formula of C40H56, tetraterpene comprised of eight isoprene units that are purely containing carbon and hydrogen [5]. Lycopene can undergo isomerization from trans to cis by heat, light, and chemical reactions, although the all-trans isomeric form is the main isomer in nature [6].
Lycopene can be cleaved via two pathways (Figure 1). It can be metabolized by central cleavage, catalyzed by beta-carotene-15,15′-oxygenase (BCO1), yielding apo-15′-lycopenal [7]. It also can be metabolized by eccentric cleavage, catalyzed by beta-carotene-9′,10′-oxygenase (BCO2) yielding apo-10′-lycopenal, which can be either further oxidized into apo-10′-lycopenoic acid or reduced to apo-10′-lycopenol [8]. It has also been shown apo-lycopenals at various chain lengths can also be derived from the absorption of apo-lycopenals directly from food [9].
Figure 1.
Central and eccentric cleavage of lycopene. Oxidative cleavage of lycopene at the central 15, 15′ double bond is catalyzed by beta-carotene-15,15′-oxygenase 1 (BCO1) leading to the generation of two molecules of apo-15′- lycopenal [7]. Eccentric cleavage takes place at the 9′-10′ double bond and is catalyzed by beta-carotene-9, 10′-oxygenase 2 (BCO2) yielding apo-10′-lycopenal [8].
1.2 Lycopene: its antioxidant function
Lycopene is a linear, unsaturated hydrocarbon carotenoid with eleven and two unconjugated double bonds, making it highly reactive against oxygen and free radicals [10]. Lycopene displays the highest physical quenching rate constant of singlet oxygen (kq = 31 × 109 M−1 s−1) in vitro, while rate constants for α-carotene, β-carotene, and lutein were 19, 14, and 8, respectively [10]. Also, lycopene’s antioxidant activity in liposomes was found to be greater than α-tocopherol [11]. It is worth highlighting its high quenching rate constant of singlet oxygen because lycopene’s concentration in the circulation is 0.7 μM in humans. Lycopene can also scavenge hypochlorous acid, a precursor of free radicals in respiratory stress pathology [12]. It has been documented that tomato products with olive oil increased human plasma antioxidant activity [13]. The authors used the Ferric Reducing Antioxidant Power (FRAP) assay, a quantitative assay for measuring the antioxidant potential, to demonstrate the antioxidant activity of tomato products with olive oil, and it was increased from 930 to 1118 mmol/L [13]. Finally, lycopene could enhance the production of endogenous antioxidant enzymes, e.g., glutathione peroxidase (Gpx), glutathione reductase (GR), and superoxide dismutase (SOD) [14].
1.3 Lycopene: its dietary intake and bioavailability
Although lycopene can be consumed through various sources, processed tomato products (e.g., ketchup, tomato source, tomato juices, tomato extract) are the major dietary lycopene source in the United States [15]. Indeed, the mean lycopene content in these products is more than 90% [16]. The average lycopene intake in the U.S. is 6.6–10.5 mg/day in males and 5.7–10.4 mg/day in females [17].
Dietary lycopene intake amount is not always correlated with circulating lycopene levels because multiple factors can affect its bioavailability. Processed tomato products, for example, contain more lycopene than fresh fruits and vegetable [18]. While the lycopene content in ketchup is 9.9–13.44 mg lycopene/100 g [19], lycopene content in fresh tomatoes ranges from 1.82–11.9 mg/100 g wet weight [20]. Also, lycopene is more bioavailable in processed foods than in raw materials since the transformation of the all-trans isomer into the cis-isomer renders lycopene elevated solubility in bile acids [21, 22]. Since lycopene is a lipid-soluble compound, a diet with high levels of lipids may increase lycopene bioavailability. It has been shown that the addition of avocado to salad significantly increased lycopene absorption in humans, although the increase of lycopene bioavailability was not correlated with avocado co-consumption in a dose–response manner [23].
There has been growing research interest in genetic variant studies in recent years and the association between genetic variation and lycopene bioavailability. In a study with 33 subjects, researchers revealed that 72% of the variance in the postprandial plasma lycopene response was explained by 28 single nucleotide polymorphisms (SNPs) in 16 genes [24]. Among these genes, ATP binding cassette subfamily a member 1 (ABCA1), lipoprotein lipase (LPL), insulin-induced gene 2 (INSIG2), solute carrier family 27 member 6 (SLC27A6), lipase C (LIPC), cluster of differentiation 36 molecule (CD36), and apolipoprotein B (APOB) play critical roles in cellular lipid intake and transportation, indicating that the bioavailability of lycopene is likely to depend on lipid metabolism. Another study found that although SNP genotypes were unrelated to usual dietary lycopene intake, two BCO1 SNPs predicted the plasma lycopene changes after subjects were given the same amount of tomato juice [25]. Such finding is intriguing because the activity of BCO1 is lower than BCO2 toward non-provitamin A carotenoids such as lycopene [26], so further studies are warranted to explore the underlying mechanism by which BCO1 SNPs led to different postprandial lycopene response.
Lycopene is widely distributed in various tissues in humans. However, the distribution is uneven, with liver, adipose tissue, testes, adrenal glands, and circulating blood being the major storage pools [27, 28] while lung and kidney have relatively low lycopene concentration [19]. It has been shown that familial resemblances were found in plasma lycopene, indicating that lycopene distribution variance is due to genetic and environmental factors [29]. Cigarette smoke, for example, decreased plasma carotenoid concentrations in humans [30, 31]. A lower serum lycopene concentration was reported in ever-smokers than in never-smokers [32], and lycopene concentration was even substantially lower in smokers who take more than three cigarettes per day [33]. Other factors, including aging, air pollution, and the initiation of diseases such as cardiovascular disease and diabetes, may also deplete lycopene levels due to increased oxidative stress and elevated reactive oxygen species (ROS) [34, 35]. While numerous studies reported the lycopene levels in patients with lung diseases, there is a gap in providing the overall picture. Therefore, our current work aims to shed light on the association between lung diseases and lycopene concentration and how lycopene supplementation affects lung disease initiation/development, offering further research directions.
2. Lycopene and lung diseases
2.1 In vitro and in vivo evidence
2.1.1 Asthma
Asthma is characterized as the narrowing or blockage of the airways, leading to breathing difficulties like shortness of breath, coughing, or wheezing. The onset of asthma is associated with elevated pulmonary inflammation, which characteristically involves airway infiltration of related inflammatory cells through the activation of Th2-type lymphocytes, eosinophils, and mast cells [36]. A combination of these immunological activities with genetic and environmental factors can lead to the progression of asthma.
To investigate strategies to potentially mitigate the effects of asthma, two in vivo studies utilized dietary lycopene supplementation within a murine model induced with this lung condition. These studies involved intraperitoneal (i.p.) injection of ovalbumin (OVA) to induce airway inflammation in BALB/c mice and demonstrated that subsequent lycopene supplementation of 8 and 16 mg/kg body weight (BW)/day alleviated such inflammatory cell infiltration into the bronchoalveolar lavage fluid (BALF) [37] as well as into the lung tissue and blood supply [38].
Lycopene treatment at both of these dosages decreased the expression of eosinophil peroxidase (EPO) and the gelatinolytic activity of matrix metalloproteinase-9 (MMP-9) caused by the i.p. injection of OVA [37]. Lycopene administration at both dosages also inhibited the OVA-specific release of Th2-associated cytokines interleukin-4 (IL-4) and interleukin-5 (IL-5) [37, 38]. The data presented in these studies revealed that dietary lycopene intervention could inhibit the infiltration of inflammatory immunocytes and alleviate asthma’s pathogenesis and progression.
2.1.2 COPD and emphysema
Chronic obstructive pulmonary disease (COPD) is a coined term that governs a group of inflammatory lung conditions such as bronchiolitis and emphysema [39]. Bronchiolitis involves fibrosis-related obstruction of small air passages, while emphysema is characteristic of alveolar enlargement and alveolar wall damage. COPD symptoms commonly consist of a chronic cough, shortness of breath, excess phlegm or sputum, and chest tightness [40].
One of COPD’s most prevalent risk factors is cigarette smoking, which can be usefully incorporated into in vivo studies to investigate potential remedies to alleviate proinflammatory symptoms and this chronic condition’s progression. Due to its documented antioxidant capabilities, lycopene treatment can be utilized to reduce the oxidative stress induced by cigarette smoke. A study utilizing a ferret model investigated the efficacy of dietary lycopene stimulation upon both bronchiolitis and emphysema-related aspects of COPD [41]. Through i.p. injection of tobacco carcinogen nicotine-derived nitrosamine ketone (NNK) at 200 mg/kg BW/day and cigarette smoke exposure five days a week for four months, the COPD model was established in ferrets. Lycopene was administered via 10% w/w beadlets at a low dosage of 2.2 mg/kg BW/day and a high dosage of 6.6 mg/kg BW/day over 22 weeks. Following this exposure and treatment period, the findings illustrated that the high dose of lycopene decreased the incidence of NNK/cigarette smoke-induced bronchiolitis and emphysema in ferrets [41].
Tackling the issue of emphysema in particular, two in vivo studies investigated the antioxidant/anti-inflammatory efficacy of dietary lycopene supplementation on chronic cigarette smoke exposure alone in murine models. Lycopene administration at 25 and 50 mg/kg BW/day in C57BL/6 mice appeared to alleviate the detrimental effects of chronic cigarette smoke exposure (12 cigarettes/day) over 60 days [42]. Lycopene treatment at both dosages appeared to have improved redox balance and decreased lipid peroxidation and DNA damage; activities of SOD, catalase (CAT), and glutathione (GSH) were increased via lycopene treatment. Lycopene also decreased interleukin-10 (IL-10), tumor necrosis factor-alpha (TNF-α), and interferon-gamma (IFNγ) levels at both dosages. On the other hand, the weight loss that occurred due to the smoke exposure was not recovered by lycopene treatment at either dosage. The same research team had previously conducted a short-term smoke exposure study [43] for just five days, not long enough to establish emphysema, that employed the same dosages of lycopene treatment (25 and 50 mg/kg BW/day). This earlier study described that lycopene administration decreased neutrophil initiation and macrophage influx into the BALF as well as similarly decreased levels of IL-10, TNF-α, and IFNγ at both dosages.
Another in vivo study investigated the association of age-related progression with emphysema development within a senescence-accelerated mouse (SAM) model [44]. Utilizing the SAM model that mimics the senile mouse lung, the study aimed to determine if the dietary lycopene supplementation could prevent the onset of emphysema through chronic cigarette smoke exposure (30 min/day, five days/week, for eight weeks). Tomato juice (containing 5 mg of lycopene) administration in place of tap water was shown to have an inhibitory effect on the onset of cigarette smoke-induced emphysema.
Collectively, dietary lycopene supplementation appears to have alleviating effects upon chronic obstructive pulmonary disease, cigarette smoke-induced bronchiolitis, and emphysema due to its potent antioxidant and anti-inflammatory activities.
2.1.3 Acute lung injury
Acute lung injury (ALI) is an acute inflammatory pulmonary disorder that causes endothelial and epithelial barrier disruption, leading to compromised alveolar-capillary membrane integrity [45]. Factors such as lung infection, aspiration, sepsis, trauma, and shock can contribute to ALI’s onset. Due to the loss of the alveolar-capillary membrane integrity, further complications characteristic of ALI can involve increased pulmonary edema permeability, increased infiltration of neutrophils, and increased release of pro-inflammatory cytotoxic mediators.
Several in vivo studies have been conducted utilizing dietary lycopene supplementation to determine potential treatment in alleviating the damage associated with acute lung injury. One method of generating ALI in these animals was through the administration of lipopolysaccharide (LPS). One study investigated the synergistic protective efficacy of lycopene and matrine, an alkaloid found in kinds of Sophora plants, against LPS-induced ALI compared to the corticosteroid dexamethasone (DEX) in BALB/c mice [46]. Mice were intraperitoneally injected with DEX (5 mg/kg BW), matrine (25 mg/kg BW), lycopene (100 mg/kg BW), or a combination of the matrine + lycopene treatments for seven days before a final dosage of LPS (5 mg/kg BW). Following 6 hours after LPS administration, the combined treatment of matrine and lycopene appeared to have similar beneficial effects. Furthermore, the combined treatment inhibited NF-κB p65 activity and reduced the expression of malondialdehyde (MDA), myeloperoxidase (MPO), interleukin-6 (IL-6), and TNF-α while simultaneously upregulating GSH.
Sarcandra glabra (SG), an herb native to Southeast Asia which is used for treating various oxidative stress diseases, was incorporated within another study in conjunction with lycopene to combat LPS-induced ALI in a rat model [47]. The rats were treated similarly as the other study with supplementation of SG (2.5 mg/kg BW) and lycopene (5 mg/kg BW) individually or in combination for two weeks before LPS (6 mg/kg BW) administration. Like the study involving matrine, the combination of SG and lycopene led to a significant decrease in LPS-induced histopathological injuries, as well as reduced levels of IL-6, TNF-α, NF-κB, and mitogen-activated protein kinase (MAPK). Furthermore, the combination treatment increased anti-oxidative activity and helped reverse the abnormal metabolism back towards normal status. Courtesy of the findings from these studies, lycopene treatment has the potential to alleviate LPS-induced acute lung injury. As lipopolysaccharide is not the only way to induce acute lung injury, other studies have incorporated alternative methods to study lycopene’s effect. A study investigated the effects of Redivio® capsules (lycopene in 10% fluid suspension) against oleic acid (OA)-induced ALI in Wistar rats [48]. Over five weeks, the rats were treated with 100 mg/kg BW/day OA and 20 mg/kg BW/day lycopene. Lycopene supplementation decreased neutrophilic infiltration and decreased perivascular and alveolar edema. Lycopene treatment also decreased serum and tissue MDA, serum and tissue SOD, and increased tissue CAT levels; however, there was no effect on serum and tissue Gpx. ALI can additionally be brought on by hyperoxia, which was investigated in a study involving newborn rats that were housed in conditions of normoxia (ambient air) or hyperoxia and supplemented with 50 mg lycopene in olive oil/kg BW/day for 11 days [49]. Despite the expected antioxidant effects of lycopene in these conditions, this treatment did not improve hyperoxia-induced injury as MDA, SOD, and IL-6 levels were not changed; interleukin-1β (IL-1β) and Gpx levels were not affected by hyperoxia or lycopene.
2.1.4 Pulmonary fibrosis
Lung fibrosis, or idiopathic pulmonary fibrosis (IPF), is considered an interstitial lung disease. It involves alveolar epithelial damage and scarring of the lungs due to excess deposition of extracellular matrix by myofibroblasts [50]. The alveolar epithelial degradation is considered an indicative initiating factor of IPF, and the associated damage can lead to interstitial pneumonia. Patients with IPF have a 20% higher risk of developing lung cancer, which can take approximately 2–4 years to reach end-stage respiratory insufficiency [51]. In this case, a treatment regime is quite crucial to shunt this detrimental progression.
Bleomycin (BLM), a polypeptide antitumor agent, can mimic lung fibrosis’s pathological effects and can be incorporated within studies to study treatment efficacy. One in vivo study utilized this model via intratracheal instillation of BLM (4 mg/mL) in Sprague–Dawley rats to induce IPF [52]. Lycopene extracted from tomatoes was administered over 28 days at a dosage of 5 mg/kg BW/day appeared to alleviate the damage attributed to BLM-induced oxidative stress partially. Such lycopene treatment inhibited the extent of free radical injury, fibrosis, and alveolitis. Furthermore, supplemental lycopene decreased plasma and tissue levels of TNF-α and decreased plasma levels of MDA and nitric oxide (NO). Since lung fibroblasts can contribute to the onset of pulmonary fibrosis, this cell type can be studied within an in vitro context to identify methods of regulating their abnormal activity. Two in vitro studies capitalized on this cell line type by inducing DNA damage in Chinese lung fibroblasts, V79 cells, through peroxynitrite administration [53] and catechol estrogen [54]. The cells were pre-treated with β-carotene and lycopene at concentrations of 0–5 μM and 0–10 μM 24 hours before the damage. The treatment of these carotenoids decreased the DNA damage in these fibroblast cells by inhibiting single-strand breaks [53, 54] and decreasing the inflammation oxidative stress [53].
2.1.5 Lung cancer
Lung cancer is the leading cause of cancer mortality in the United States, constituting nearly one fourth of all cancer deaths [55]; thus bringing about the need to finding remedies in any way possible. In terms of carotenoid treatment, supplementation of lycopene and its metabolites may demonstrate some anti-cancer efficacy within both in vitro and in vivo settings by inhibiting carcinoma severity and progression; such a trend has been seen in multiple cell types including prostate, breast, hepatoma, stomach, colon and oral cancer cells [56, 57, 58]. In the studies regarding lung cancer, the models typically involve lung cancer cell lines, cigarette smoke exposure, and the administration of carcinogenic agents. As non-small cell lung cancer (NSCLC) accounts for the most lung cancer-related deaths, various in vitro studies have utilized cell lines that characterize this cell type. In these cases, lycopene and its metabolites appeared to be a potent inhibitor of cancer cell growth and proliferation [59, 60, 61, 62], even more so than either α- carotene or β-carotene [59], by arresting the cell cycle at the G1 checkpoint [62]. In cigarette smoke-induced oxidative stress, the formation of reactive oxygen species (ROS) could lead to damage of cellular macromolecules, notably to genomic DNA that can cause mutations. Like in the case of the Chinese hamster fibroblasts [50], lycopene’s antioxidant potential was shown as its capability to quench ROS and upregulate enzymes related to base excision repair, such as DNA glycosylases [63].
Through the classic model of cancer-induction via cigarette smoke exposure in vivo, treatment of lycopene at both a low dose (1.1 mg/kg BW/day) and a high dose (4.3 mg/kg BW/day) for nine weeks reduced the extent of lung squamous metaplasia via apoptosis in a ferret model [64]. The apoptosis was attributed to the upregulation of plasma insulin-like growth factor binding protein-3 (IGFBP-3) levels and reduction of the IGF-1/IGFBP-3 ratio.
An alternate method of inducing tumorigenesis in animal models can be achieved through the administration of carcinogenic agents like benzo[a]pyrene (BaP), NNK, and dimethylhydrazine (DMH) [62, 63, 64]. An in vivo study utilized the DMH method of tumor-induction via subcutaneously injecting 20 mg/kg BW DMH into B6C3F1 mice, the F1 generation of a cross between C57BL/6 J females and C3H/HeJ males [65]. For 32 weeks, the mice were administered with DMH twice a week for five weeks and then lycopene (25 or 50 ppm in drinking water) starting at week 21. After this treatment period, anticancer effects were primarily seen in males as the high lycopene dose (50 ppm) decreased DMH-related tumor development and decreased multiplicities for lung adenomas and carcinomas [65]. Another two in vivo studies utilized the treatment of lycopene-enriched tomato oleserin (LTO) in models involving tumorigenesis induction via BaP only [66] or BaP and NNK [67]. In one of those particular studies, a proprietary MutaMouse model consisting of the F1 generation of a cross between BALB/c and DBA/2 mice was injected with 125 mg/kg BaP and treated with LTO (3.7% lycopene) at different doses in their diets (7 and 14 g LTO/kg diet, 0.5 and 1.0 mmol lycopene/kg diet). However, the BaP-induced lung mutagenesis was found to have increased with LTO supplementation, especially at the high dosage [66]. On the other hand, a study incorporating BaP and NNK-induced carcinogenesis into A/J mice investigated the effect of LTO (5.9% lycopene) at different doses in their diets (185 ppm, 1850 ppm, 9260 ppm). In this case, there was no overall effect on the weight gain or survivability of the mice; furthermore, none of the LTO-enriched treatments given before, during, or after BaP and NNK administration had any effect on tumor incidence or multiplicity [67]. The minimal or lack of effect that lycopene has on these carcinogenic agents may indicate that this carotenoid’s anticancer efficacy is better suited against cigarette smoke exposure, possibly due to its antioxidant properties.
While lycopene is typically utilized within these carotenoid treatment studies, its metabolites have shown some anticancer efficacy, especially apo-10′-lycopenoic acid. In a joint in vitro and in vivo study, apo-10′-lycopenoic acid was shown to inhibit cell cycle progression in non-small cell lung cancer (NSCLC) and lung tumor multiplicity in A/J mice [62]. Approaching the in vitro aspect, normal human bronchial epithelial cells (NHBE), BEAS-2B-immortalized normal bronchial epithelial cells, and non-small cell lung cancer, A549 cells, were treated with 0–10 μM apo-10′-lycopenoic acid for five days; this treatment regime appeared to have decreased cyclin E and inhibited cell cycle progression from G1 to S phases as seen with lycopene previously [59]. Furthermore, cell cycle mediators (p21 and p27) were increased, indicating promoted mediation of checkpoint regulation.
Lycopene also appears to be involved in tumorigenesis suppression through several pathways, such as inhibiting NF-κB, activating sirtuin-1, or modulating reverse cholesterol transport mechanism by inhibiting 3-hydroxy-3-methylglutaryl–coenzyme A (HMG-CoA) reductase expression [1, 68, 69]. Furthermore, lycopene and its metabolites have been shown to upregulate retinoic acid receptor β (RARβ) activation [63], leading to reduced cell proliferation, increased apoptosis [70], and enhanced gap junction communication (GJC) by upregulating connexin-43 (Cx43) [63, 71].
3. Lycopene and lung diseases in human
To conclude the association between circulating lycopene and lung diseases, we performed a systematic review and meta-analysis by following the PRISMA guideline [72]. We conducted a comprehensive search of the following electronic databases: MEDLINE, Web of Science, EMBASE, and Google Scholar from inception up to November 8, 2020. We employed an integration of Medical Subject Heading (MeSH) terms and/or keywords to article-searching in these databases. The search terms are listed as follows:
(“lung diseases”[MeSH Terms (MeSH), title or abstract (ti/ab)] OR ((“lung”[MeSH] OR “lung”[All Fields]) AND “cancer*”[MeSH Terms]) OR “pulmonary disease, chronic obstructive”[MeSH, ti/ab] OR “pulmonary disease, chronic obstructive”[MeSH, ti/ab] OR “pulmonary disease, chronic obstructive”[MeSH, ti/ab] OR (“pulmonary emphysema”[MeSH, ti/ab] OR “emphysema”[MeSH, ti/ab]) OR “asthma”[MeSH, ti/ab] OR “acute lung injur*”[MeSH] OR “cystic fibrosis”[MeSH, ti/ab] OR “pulmonary fibrosis”[MeSH, ti/ab]) AND “lycopene”[MeSH, ti/ab].
3.1 Methods
3.1.1 Eligibility
We used these inclusion criteria while carrying out a meta-analysis and systematic review:
patients with confirmed lung diseases including asthma, acute lung injuries, emphysema, COPD, lung fibrosis, and lung cancer;
used one of the following study designs: randomized controlled trial (RCT), cohort study, case–control study, nested case–control study, and cross-sectional study;
outcomes related to the incidence or development of lung diseases;
provided statistical reports
When multiple studies included subjects from the same cohort, only the publication reported the most updated results were selected. In vitro studies and animal studies were excluded. Review articles were also excluded.
3.1.2 Data extraction
Data extraction was performed by two independent researchers (J. Cheng, A. Eroglu) by utilizing a structured form. A third investigator (E. Balbuena) would be involved if discrepancies occurred. The following information was collected from eligible studies: study characteristics (author, year of the study, study design, name of the cohort), subject characteristics (a type of lung disease, subject age), treatment information, and primary results, which included means, comparison of the groups, relative ratio (RR)/odds ratio (OR)/hazard ratio (HR), and the measure of variability (95% confidence interval and p-value). For studies that used both univariate analysis and multivariate analysis, only the multivariate analysis results were extracted. A table was constructed (Table 1) to summarize the data.
Author, Year
Lung disease
Study Design
Subject (N*)
Age (mean,yr)*
Treatment
Duration
Results
Rohan, 2002
Lung cancer
Nested case–control
196
40–59
NA
8
Lycopene intake was unrelated to lung cancer risk (RR = 1.04, 95% CI: 0.61–1.76, P trend = 0.233)
Sackesen, 2008
Asthma
Case–control
164
9.65 ± 1.55
NA
NA
Plasma lycopene concentration was higher in children with atopic asthma vs. non-atopic asthma (0.46 ± 0.2 μmoL/L vs. 0.45 ± 0.2 μmoL/L, P = 0.027)
Plasma lycopene concentration was lower in cases vs. controls (P < 0.001)
Voorrips, 2000
Lung cancer
Nested case–control
939
55–69
NA
6.3 years
Lycopene intake was lower in cases than in controls (983 ± 1517 μg/d vs. 1050 ± 1560 μg/d, P = NR)
A lower lycopene intake was correlated with higher lung cancer risk (RR = 1.12, 95% CI: 0.77–1.71, P trend = 0.04). However, after adjusted for folate intake, the correlation was not statistically significant (RR = 1.05, 95% CI: 0.75–1.46, P trend = 0.14)
Wood, 2005
Asthma
Case–control
15
48.4 ± 4.3
NA
NA
Cases had a lower lycopene level vs. controls in whole blood (29 ug/L vs. 247 ug/L P 0.05) or whole sputum (31 ug/L vs. 9 ug/L, P > 0.05)
Daily lycopene intake was similar in cases vs. controls (3.90 mg/d vs. 2.51 mg/d, P > 0.05)
Kodama, 2015
Asthma-COPD overlap syndrome Bronchial asthma
Case–control
• 39 COPD patients • 21 patients with ACOS (asthma-COPD overlap syndrome) • 15 patients with BA (bronchial asthma)
Serum lycopene was positively associated with %FVC (P 0.05)
Dietary lycopene intake was positively associated with %FEV1 and %FEV1/FVC (P 0.05)
Jun, 2020
Pulmonary function
Cross-sectional
15,792
54.1 ± NR
NA
NA
Lycopene dietary intake was not correlated with FEV1/FVC ratio (P = 0.283)
The consumption of lycopene & lutein/zeaxanthin foods were not correlated with FEV1/FVC ratio (P = 0.518)
Ford, 2014
COPD
Prospective study
1,492
55.7 ± 0.7
NA
14 years
Serum lycopene concentration was similar in cases vs. controls (0.41 ± 0.03 μmoL/L vs. 0.46 ± 0.01 μmoL/L, P = 0.120)
A higher serum lycopene concentration was correlated with a lower all-cause mortality among adults with obstructive lung function (HR = 0.80, 95% CI: 0.67–0.95, P = 0.013)
Ito, 2005
Lung cancer
Prospective study
3,182
39–79
NA
10.5 years
Serum lycopene concentration was lower in lung cancer deaths vs. the survivors (0.229 ± NR μmoL/L vs. 0.328 ± NR μmoL/L, P = 0.007)
Serum lycopene concentration was unrelated to lung cancer mortality (HR = 0.93, 95% CI: 0.39–2.24, P trend = 0.76)
Stefani, 1993
Lung cancer
Case–control
541
30–89
NA
NA
Lycopene intake was similar in cases vs. controls (1603.4 ± 1416 μg/d vs. 1666.6 ± 1439 μg/d, P = 0.47)
Dietary lycopene intake was unrelated to lung cancer risk (OR = 0.83, 95% CI: 0.56–1.21, P trend = 0.18)
A higher dietary tomato intake frequency was correlated with lower lung cancer risk (OR = 0.76, 95% CI: 0.55–1.07, P trend = 0.09)
Holick, 2002
Lung cancer
Prospective study
27,084
57.2
NA
14 years
A higher dietary lycopene intake was correlated with lower lung cancer risk (Age-adjusted: RR = 0.63, CI 0.54–0.75, P trend <0.0001; Multivariate: RR = 0.72, 95% CI: 0.61–0.84, P trend <0.0001)
In subgroup analysis, a higher lycopene intake was correlated with lower lung cancer risk in subjects who took 5–19 cigarettes (RR = 0.65, 95% CI: 0.49–0.87, P for trend = 0.01), 20–29 cigarettes (RR = 0.81, 95% CI: 0.64–1.02, P for trend = 0.009), ≥30 cigarettes (RR = 0.63, 95% CI: 0.45–0.88, P for trend = 0.008)
Yuan, 2003
Lung cancer
Prospective study
63,257
63 ± NR
NA
8 years
Lycopene dietary intake was unrelated to lung cancer risk (RR = 0.89, 95% CI: NR, P trend: NR)
Asbaghi, 2015
Lung cancer
Case–control
55
NR
NA
NA
Daily lycopene intake was lower in cases than in controls (P = 0.001)
Serum lycopene concentration was lower in cases than in controls (P = 0.004)
Talwar, 1997
Lung cancer
Case–control
22
66
NA
NA
Plasma lycopene concentration was lower in cases than in controls (<0.02 ± NR μmoL/L vs. 0.37 ± NR μmoL/L, P < 0.001)
Falk, 2005
Asthma
RCT
19
13.0 ± 2.15
Placebo Lycopene (30 mg/d)
1 week
Lycopene supplementation did not change FVC, predicted %FVC, FEV1, predicted %FEV1, PEF1, predicted %PEF1, FEF25–75, or predicted %FEF25–75 (P values were NR) among subjects who had exercise-induced asthma
Garcia-Closas, 1998
Lung cancer
Case–control
103
63
NA
NA
Dietary lycopene intake was unrelated to lung cancer risk (OR = 0.56, 95% CI: 0.26–1.24, P trend = 0.15)
Michaud, 2000
Lung cancer
Prospective study
46,924 men 77,283 women
NR
NA
10 years (men) 12 years (women)
Lycopene intake was unrelated to lung cancer in males (RR = 0.86, 95% CI: 0.59–1.25, P = 0.51) or females (RR = 0.80, 95% CI: 0.64–0.99, P = 0.10)
In lag analysis, lycopene intake was not correlated with lung cancer risk (0–4-y lag: RR = 0.93, 95% CI: 0.76–1.15; 8–12-y lag: RR = 0.87, 95% CI: 0.61–1.24), except for in 4–8-y lag (RR = 0.68, 95% CI: 0.53–0.88)
Shareck, 2017
Lung cancer
Case–control
1,105
64.3 ± 7.8
NA
NA
Dietary lycopene intake was lower in cases vs. control (male: 15,888 ± 10,878 vs. 16,969 ± 9,285, P: NR; female: 11,911 ± 11,902 vs. 16,175 ± 10,985, P: NR) A higher lycopene intake was correlated with a lower lung cancer risk (OR = 0.75, 95% CI: 0.59–0.95, P = 0.03)
Satia, 2009
Lung cancer
Prospective study
521
67.0 ± 6.8
NA
3 years
Lycopene supplementation frequency was similar between total lung cancer cases vs. controls (multivitamin use: HR = 1.06, CI 0.86–1.30; individual supplement use: HR = 0.98, 95% CI: 0.25–3.96, P trend = 0.61)
Lycopene supplementation frequency was similar between NSCLC cases vs. controls (multivitamin use: HR = 1.14, 95% CI: 0.90–1.44; individual supplement use: HR = 1.32, CI 0.33–5.30, P trend = 0.25)
Lycopene supplementation frequency was similar between SCLC cases vs. controls (multivitamin use: HR = 0.97, 95% CI: 0.55–1.71; individual supplement use data NR, P trend = 0.81)
Lycopene supplementation frequency was similar between other lung cancer cases vs. controls (multivitamin use: HR = 0.67, 95% CI: 0.33–1.37; individual supplement use data NR, P trend = 0.24)
Ito, 2005
Lung cancer
Nested case–control
211
40–79
NA
10 years
In male, serum lycopene concentration was lower in cases vs. controls (0.06 μmoL/L vs. 0.07 μmoL/L, Univariate model: P = 0.025; Multivariate model: P = 0.032)
In female, serum lycopene concentration was similar in cases vs. controls (0.10 μmoL/L vs. 0.412 μmoL/L, Univariate model: P = 0.20; Multivariate model: P = 0.33)
In male, a higher serum lycopene concentration was correlated with a lower lung cancer risk (OR = 0.44, CI 0.19–1.05, P trend = 0.03)
In female, serum lycopene concentration was unrelated to lung cancer risk (OR = 0.82, CI 0.12–3.25, P trend = 0.5)
Wood, 2008
Asthma
Randomized, cross-over trial
32
52.1 ± 2.4
Low antioxidant diet then placebo, or tomato extract (45 mg lycopene/day), or tomato juice (45 mg lycopene/day)
• 10 days of low antioxidant diet • 7 days for each treatment • 10 days for each washout
Plasma lycopene concentration was similar in cases vs. controls (6.8 mg/dl vs. 6.7 mg/dl, P = 0.79)
Plasma lycopene concentration was not correlated with asthma risk (OR = 0.9w6; 95% CI, 0.84–1.11)
Kentson, 2018
COPD
Case–control
66
70 ± NR
NA
NA
Plasma lycopene concentration was similar between cases vs. controls (0.41 ± 0.20 μmoL/L vs. 0.48 ± 0.21 μmoL/L, P > 0.05)
Plasma lycopene concentration was positively correlated with blood oxygenation saturation in the COPD patients (P < 0.05)
Riccioni, 2007
Asthma
Case–control
40
37.1 ± 12.5
NA
NA
Tomato intake was similar in the cases vs. controls (raw tomatoes: 18.1 g vs. 16.8 g, P > 0.05)
Serum lycopene was lower in cases vs. controls (0.10 ± 0.7 μmoL/L vs. 0.16 ± 0.8 μmoL/L, P < 0.001)
Riccioni, 2006
Asthma
Case–control
22
35.1 ± 11.7
NA
NA
Plasma lycopene concentration was lower in asthma patients vs. controls (8.12 ± 2.63 lg/dl vs. 18.13 ± 3.67 lg/dl, P < 0.001)
Yuan, 2001
Lung cancer
Nested case–control
209
64.8 ± NR
NA
12 years
Serum lycopene concentration was lower in ever-smokers than in never-smokers (P = 0.0002)
A higher serum lycopene concentration was correlated with lower lung cancer risk in all subjects (OR = 0.46, 95% CI: 0.27–0.79, P trend = 0.003), but the adjusted OR was not statistically significant (OR = 0.15, 95% CI: 0.31–1.14, P = 0.15)
Wood, 2010
Asthma
Case–control
41
49 ± 3.4
NA
NA
There was a trend of higher plasma lycopene concentration in hyper-responsive asthma patients vs. non-hyper-responsive asthma patients (0.115 ± 0.45 mg/L vs. 0.084 ± NR mg/L, P = 0.098)
Plasma lycopene concentration was similar in patients with asthma controlled or partly controlled vs. uncontrolled (0.10 mg/L vs. 0.08 mg/L, P = 0.581)
Plasma lycopene concentration was similar in patients with mild–moderate asthma vs. severe asthma (0.10 mg/L vs. 0.09 mg/L, P = 0.862)
Neuman, 2000
Asthma
RCT
20
23 ± 9
Placebo Lycopene (30 mg/d)
1 week
Lycopene supplementation increased forced expiratory volume in 1 s among patients who had exercise-induced asthma (P < 0.05)
Plasma lycopene concentration was similar between current asthma patients vs. controls (0.44 ± 0.01 μmoL/L vs. 0.44 ± 0.00 μmoL/L)
Plasma lycopene concentration was similar between former asthma patients vs. controls (0.47 ± 0.04 μmoL/L vs. 0.44 ± 0.00 μmoL/L)
Klarod, 2011
Lung cancer
Case–control
49
58.8 ± NR
NA
NA
Serum lycopene concentration was lower in total cases than in controls (P < 0.001)
Serum lycopene concentration was lower in both early stage patients (P = 0.09) and advanced stage patients (P = 0.001) than in controls.
Serum lycopene concentration was similar in early stage patients vs. advanced stage patients (P = 0.749)
Comstock, 2008
Lung cancer
Nested case–control
258
25–65
NA
15 years (CLUE I) 3 years (CLUE II)
Serum lycopene concentration was similar in cases vs. controls (P = 0.76)
Serum lycopene concentration was unrelated to lung cancer risk (OR = 1.01, 95% CI: NR, P trend = 0.99)
In subgroup analysis, serum lycopene concentration was unrelated to lung cancer risk (Male: OR = 0.32, 95% CI: NR, P trend = 0.25; Female: OR = 0.83, CI NR, P trend = 0.83)
Marchand, 1989
Lung cancer
Case–control
332
NR
NA
NA
A lower tomato (including tomato juice) intake was correlated with higher lung cancer risk in males (OR = 2.3, 95% CI: NR, P trend = 0.002) and females (OR = 3.7, 95% CI: NR, P trend <0.001)
Steinmetz, 1993
Lung cancer
Nested case–control
138
55–69
NA
4 years
The consumption of the ‘high-lycopene’ foods was unrelated to lung cancer risk (OR = 1.21, 95% CI: 0.69–2.10, P trend = 0.53)
Tomato consumption was unrelated to lung cancer risk (OR = 1.00, 95% CI: 0.61–1.64. P trend = 0.99)
Schut, 1997
Lung cancer
Case–control
19
NR
NA
NA
Serum lycopene concentration was lower in lung cancer patients vs. controls (0.13 ± 0.10 μmoL/L vs. 0.42 ± 0.41 μmoL/L, P < 0.01)
Kawchak, 1999
Cystic fibrosis
Nested case–control
24
NR
Standard nutrition care and vitamin supplements that included 5,000 IU retinol
3 years
At the baseline, serum lycopene concentration was lower in cases vs. controls (0.05 ± 0.05 μmoL/L vs. NR, range 0.15–0.39 μmoL/L, P 0.05).
Table 1.
A table was constructed to summarize the data of clinical trials including study characteristics (author, year of the study, study design, name of the cohort), subject characteristics (a type of lung disease, subject age), treatment information, and primary results.
*Significance values presented individually in each study’s result column.
3.1.3 Statistical analysis
We only included the studies that reported OR/RR/HR and 95% confidence interval to perform statistical analysis. Studies that failed to provide such information were excluded from meta-analysis but were still included in our systematic review with detailed information listed in Table 1. According to the rare disease assumption, the prevalence of lung diseases is low, and the relative risk approaches the odds ratio [73]. Therefore, we reported all risk estimates in our current meta-analysis as OR for simplicity. With the possibility that the variance between the studies was caused by heterogeneity, the pooled ORs of the risk of lung diseases were estimated using a random-effects model. Two-tailed p-values <0.05 were considered statistically significant. We performed statistical analyses by employing RevMan 5.4.1.
3.2 Results
The process of study selection was displayed in the flow chart (Figure 2). The search for the four databases yielded 105 articles, of which 101 were eventually screened (Figure 2). Forty-eight articles were included for final screening after we excluded 53 in vitro or animal studies. Among them, 11 articles were excluded with various rationales: the exposure is not lycopene-related (N = 1), outcomes are not related to lung diseases (N = 3), review articles (N = 3), full text unavailable (N = 1), or studies that used the same cohort (N = 4) which led to 37 papers included in this systematic review (Figure 2).
Figure 2.
Flow diagram of study selection according to the PRISMA guideline.
3.2.1 Asthma
A total of 13 articles reported the relation between asthma and lycopene concentration, or dietary lycopene intake [74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86]. Among them, 9 studies are observational studies: cross-sectional (N = 1), nested case–control (N = 1), or case–control studies (N = 7) [74, 75, 76, 77, 78, 79, 80, 81, 82], whereas other studies are randomized clinical trials (RCTs) [83, 84, 85, 86].
In total, eight case–control (including nested case–control) studies included 1,280 current asthma patients and explored circulating lycopene levels in cases versus matched controls. Additionally, one cross-sectional study with 218 subjects reported the association between serum lycopene concentration and asthma severity [77]. In four studies, a significantly lower circulating lycopene concentration was observed in cases than in healthy controls [76, 77, 78, 79]. Nevertheless, other case–control studies reported similar circulating lycopene levels in asthma patients than the matched control group, indicating that the risk of asthma was unrelated to circulating lycopene levels [74, 75, 81, 82]. Such discrepancy might be due to the heterogeneity of disease characteristics. Wood et al. showed a trend of higher plasma lycopene concentration in asthma patients with airway hyper-responsiveness [80]. It was also reported that plasma lycopene concentration was higher in atopic asthma subjects than in non-atopic asthma subjects [76]. Therefore, a high proportion of hyper-responsive asthma patients or atopic asthma patients may decrease the probability of observing a significant difference.
Two studies reported the correlation between circulating lycopene concentration and the severity of asthma. Forced expiratory volume in one second (FEV1) is defined as the volume of breath exhaled during a forced breath within one second. Forced vital capacity (FVC) is the full air exhaled in the entire timeframe [87]. A low percentage predicted FEV1/FVC ratio is an indicator of reduced pulmonary function. Ochs-Balcom et al. reported a lack of association between serum lycopene concentration and %FEV1/FVC ratio in 22 asthma cases, indicating that circulating lycopene concentration is not correlated with pulmonary function [77]. Similarly, Wood et al. depicted that plasma lycopene concentration was similar in moderate asthma patients than patients with severe asthma [80]. Also, no difference was found in plasma lycopene levels between asthma controlled or partly controlled patients vs. uncontrolled patients [80], indicating that circulating lycopene levels are unrelated to asthma development.
Four RCTs supplemented asthma patients with lycopene or lycopene-enriched foods to investigate the effect of dietary lycopene on asthma [83, 84, 85, 86]. They examined their pulmonary function at the end of the study [83, 84, 85, 86]. Two studies addressed exercise-induced asthma, where researchers gave asthma patients lycopene at a dosage of 30 mg/d for one week [80, 81]. Although one study found that lycopene supplementation increased %FEV1 [83], Falk et al. failed to observe any significant differences in pulmonary function indicators between patients with lycopene supplementation and the placebo group [84]. Such inconsistency may have resulted from the inadequate intensity of the exercise challenge in the study. In the study by Falk et al., the participants performed an eight-minute treadmill exercise at a load of 85% of the predicted maximal heart rate [84]. Such intensity may not be strenuous enough to induce exercise-induced bronchoconstriction, especially in physically active people [88]. Also, only 19 subjects were included in the trial, leading to a loss of power. Therefore, additional studies with larger samples size and higher exercise challenges are warranted to examine the effect of lycopene supplementation on exercise-induced asthma.
With a growing interest in investigating the synergistic effect of various antioxidants on lung diseases, Wood et al. provided the subjects with a 10-day low antioxidant diet, followed by either placebo or tomato extract (or tomato juice) supplementation that contains 45-mg lycopene for another ten days [85]. As a result, the low antioxidant diet significantly increased sputum neutrophils, decreased with tomato juice or tomato extract supplementation [85]. Furthermore, a reduced level of sputum neutrophil elastase activity was found in patients supplemented with tomato extract [85]. The neutrophil elastase released by neutrophils is a serine proteinase that may act as a biomarker of inflammation and pathogen invasion [89]. Since this enzyme is involved in lung tissue destruction, by inhibiting neutrophil elastase activity, tomato extract supplementation may hinder pulmonary inflammation, subsequently mitigate the swell of the airways and decrease mucus production [90], leading to alleviated asthma manifestations. Indeed, in a follow-up study with 137 subjects, Wood et al. portrayed decreased levels of plasma C-reactive protein (CRP), IL-6, and IL-1β in the asthma patients who consumed tomato extract that contains 45 mg/d lycopene [86]. Intriguingly, the repeated-measures analysis by time point showed a reduced risk of disease exacerbation in the patients with tomato extract supplementation compared to the placebo group. Additionally, the decrease of %FEV1 and %FVC from baseline was only observed in the placebo group, but not in the tomato extract-supplemented group [86].
Collectively, the results generated from these clinical trials did not show a consistent association between circulating lycopene and the initiation or development of asthma. Besides, there is a lack of evidence that dietary lycopene supplementation alleviating asthma progression. Whole foods that contain a high concentration of lycopene, such as tomato extract, showed beneficial efficacies against asthma. However, both RCTs subjects had a low-antioxidant diet at baseline to deplete their antioxidant levels, meaning that a similar alleviating effect may not be observed in people with normal circulating antioxidant concentrations. It is also important to note that tomato extract and tomato juice are high in lycopene and other antioxidants, such as ascorbic acid or β-carotene. Thus, lycopene itself may lack the capability of mitigating asthma. It should be noted that the combination of lycopene with other antioxidants produces a synergistic effect that can further inhibit pulmonary inflammation and lessen asthma manifestations.
3.2.2 COPD
Both asthma and COPD cause swelling in the airways and difficulties to breathe [91]. Several studies focused on tackling COPD and asthma-COPD overlap syndrome (ACOS) due to the similarities between the two diseases.
At the end of article screening, two case–control studies, one cross-sectional study, and one prospective study depicted the association between circulating lycopene concentration and COPD [75, 77, 81, 92]. Overall, 105 COPD patients and 21 ACOS patients were included in the case–control studies [77, 81], whereas the cross-sectional study included 218 subjects (68 asthma patients, 121 COPD patients, and 29 ACOS patients). The prospective study used the data from the Third National Health and Nutrition Examination Survey (NHANES III), recruiting 1,492 COPD patients [75].
In one case–control study, Kodama et al. reported a significantly lower plasma lycopene concentration in the COPD subjects than the healthy controls [81]. However, such an association was not observed in the ACOS subjects [81]. Interestingly, another case–control study did not find any differences in plasma lycopene levels between the COPD patients and the controls [92]. However, they demonstrated a positive correlation between plasma lycopene concentration and blood oxygenation saturation in COPD patients [92], indicating that circulating lycopene concentration may be related to COPD severity. Similarly, the cross-sectional study conducted by Ochs-Balcom et al. also reported that serum lycopene concentration was positively associated with %FVC, but not %FEV1 or %FEV1/FVC ratio [77]. In 2014, Ford et al. reported that although the COPD patients and the healthy controls appeared to have similar serum lycopene levels, they observed an inverse correlation between serum lycopene concentration and all-cause mortality among people with obstructive lung function [75]. With a large sample size and prospective study design, these findings highlighted the possibility that serum lycopene concentration could be a potential biomarker predicting COPD’s development and prognosis.
3.2.3 Lung cancer
In total, 19 studies met our inclusion criteria and provided information on lycopene and lung cancer [32, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110]. Among them, there are 8 case–control studies that included 2,226 lung cancer patients [93, 95, 99, 100, 104, 105, 107, 110], 6 nested case–control studies that included 1,951 lung cancer cases [32, 94, 98, 102, 106, 108], and 5 prospective studies that included 218,251 subjects [96, 97, 101, 103, 109].
Among the studies that reported the association between lycopene intake and lung cancer risk, nine studies provided detailed study estimates [95, 96, 101, 102, 103, 104, 105, 106, 108] (Figure 3A). Our meta-analysis results showed that the meta-OR of lung cancer with a higher dietary lycopene intake was 0.79 (95% CI: 0.71–0.88, overall P < 0.0001). The p-value of the Chi-squared (Chi2) test is 0.52, and the between-study variance (I2) for lung cancer incidence is 0%, meaning that there was a minimum of heterogeneity in the studies. Two case–control studies found that lycopene or lycopene-enriched tomato juice’s daily consumption was lower in lung cancer cases than in healthy controls [93]. In contrast, the Singapore Chinese Health Study failed to observe a significant correlation between lycopene dietary intake and lung cancer risk [109]. Multiple factors may contribute to the non-significant findings. In the case–control studies, studies that used the Food Frequency Questionnaire (FFQ) to collect lycopene intake frequencies may undergo recall bias, which led to a loss of power. It is also likely to observe a significant difference in lycopene consumption between cases and controls by including subjects who had a low baseline circulating lycopene level or dietary lycopene intake. Rohan et al. observed significantly different lycopene intake between the cases and the controls when the subjects’ daily lycopene intake was between 983 μg to 1,050 μg [102]. However, by including the subjects who reported a baseline daily dietary lycopene intake at 15.8 mg to 16.9 mg, which is about twice the amount of average daily lycopene intake in the U.S. [17], Shareck et al. found the dietary lycopene intake was comparable between the cases and the controls [104].
Figure 3.
Forest plots for lung cancer risk in (A) subjects with lower lycopene intake vs. subjects with higher lycopene intake, and (B) subjects with lower circulating lycopene levels vs. subjects with higher circulating lycopene levels.
Three case–control studies [93, 99, 107] and three nested case–control studies [32, 94, 97] reported the association between circulating lycopene concentration and lung cancer risk. Two studies provided estimates [32, 98], thus were included in the meta-analysis. Since Ito et al. only reported the estimates in the male and female subgroups [98], we pooled the two subgroups and another study [32] to explore the relationship between circulating lycopene concentration and lung cancer risk by performing the meta-analysis. Our results showed that the meta-odds ratio of lung cancer with a higher circulating lycopene level was 0.47 (95% CI: 0.30–0.73, overall P = 0.0007), with the Chi2 p-value at 0.84, and the I2 at 0% (Figure 3B). Such data indicates that a higher circulating level of lycopene is correlated with a lower risk of lung cancer. Intriguingly, the other three studies that were not included in the meta-analysis consistently showed that lung cancer cases had a significantly lower circulating lycopene concentration than the healthy controls [93, 99, 110]. Only one study reported a similar lycopene concentration in lung cancer subjects and the controls [94]. One possible explanation for this negative result is that Comstock et al. did not stratify the subjects according to the stage of lung cancer. Although serum lycopene concentration was comparable in the early stage patients and the advanced stage patients, serum lycopene concentration was more significant between the advanced lung cancer patients and the healthy controls [99]. If the majority of the patients included by Klarod et al. were cancer patients at an early stage, the difference of circulating lycopene level between the cases and the controls would be unapparent. One prospective study showed that serum lycopene concentration was lower in the lung cancer deaths than in the cancer survivors; however, such difference disappeared after the researchers adjusted the model for sex, age, smoking habit, and serum levels of total cholesterol and alanine aminotransferase (ALT) activity [97] suggesting that the association between lycopene and lung cancer mortality might be influenced by multiple factors, which warrants further investigation.
In conclusion, we found consistent reports showing that dietary lycopene intake, or the consumption of lycopene-enriched foods, was inversely related to lung cancer risk. Our systematic review and meta-analysis showed that the circulating lycopene level might be a potential biomarker predicting lung cancer risk.
4. Concluding remarks
We summarized the association between circulating lycopene and chronic lung diseases in a comprehensive manner. To accomplish this task, we first have screened both in vitro reports and in vivo animal models to delineate lycopene’s role in chronic lung diseases including asthma, COPD, emphysema, acute lung injury, pulmonary fibrosis, and lung cancer. Dietary lycopene intervention could potentially decrease the infiltration of pro-inflammatory cytokines in ovalbumin-induced airway inflammation in a murine model of asthma [37, 38]. Lycopene was also found to inhibit smoke-induced bronchitis and emphysema through reverse cholesterol transport in the COPD model in ferrets [41]. In a murine model (C57BL/6 mice) for emphysema, lycopene administration lessened the detrimental effects of chronic cigarette smoke exposure [42]. Lycopene treatment was found to ease LPS-induced acute lung injury (ALI) in murine animal models [46], BALB/c mice, and LPS-induced ALI in a rat model [47]. Lycopene extracted from tomatoes could reduce the burden of lung fibrosis’s pathological effects in a rodent study [52]. In terms of lung cancer, lycopene could decrease the extent of squamous metaplasia in a ferret model using the conventional method of induction of lung cancer by cigarette smoke [64]. Alternative models using carcinogenic agents were not definitive in showing its chemoprevention capabilities [62, 63, 64, 65, 66, 67].
Next, we conducted a systematic review and meta-analysis to reveal the link between lycopene concentration and lung diseases in clinical trials using multiple electronic databases. While several case–control studies reported markedly lower lycopene concentration in asthma patients [76, 77, 78, 79], others found that asthma progression was not related to lycopene in the circulation [74, 75, 77, 80, 81, 82], suggesting that the association between asthma and lycopene concentrations in humans was not conclusive. We came across several epidemiological studies, including case–control, cross-sectional, and prospective studies, to demonstrate the association between lycopene concentration in the circulation and COPD in our meta-analysis. These trials reported similar lycopene concentrations in healthy subjects vs. COPD patients [75, 77, 81, 92]. Finally, we found that dietary lycopene is inversely associated with lung cancer risk, particularly in subjects with low lycopene in their circulation [93, 102, 104]. Furthermore, circulating lycopene displayed a significant association between advanced lung cancer patients and early-stage patients [99].
5. Future perspective
Overall, our comprehensive review in this chapter provides convincing evidence on the role of lycopene in chronic lung diseases including lung cancer. This chapter also contributes confirmatory data to the as yet unsettled proof on the hypothesized associations between lycopene in circulation and lung diseases. The health benefits of lycopene can be attributed to its antioxidant function as highlighted in this chapter. Lycopene can be used as a preventive and therapeutic compound by itself or in combination with other compounds to improve lung diseases. Further investigations and well-designed clinical trials are needed to confirm whether there is a casual relation between the disease and the circulating lycopene in humans.
Acknowledgments
The authors gratefully acknowledge the financial support of North Carolina State University. We also thank Baxter Miller for searching the research literature.
\n',keywords:"lycopene, lung diseases, oxidative stress, lung cancer, antioxidants, carotenoids",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/74706.pdf",chapterXML:"https://mts.intechopen.com/source/xml/74706.xml",downloadPdfUrl:"/chapter/pdf-download/74706",previewPdfUrl:"/chapter/pdf-preview/74706",totalDownloads:381,totalViews:0,totalCrossrefCites:1,totalDimensionsCites:3,totalAltmetricsMentions:1,impactScore:1,impactScorePercentile:66,impactScoreQuartile:3,hasAltmetrics:1,dateSubmitted:"October 15th 2020",dateReviewed:"December 11th 2020",datePrePublished:"January 17th 2021",datePublished:"September 8th 2021",dateFinished:"January 5th 2021",readingETA:"0",abstract:"Lycopene, a naturally occurring non-provitamin A carotenoid pigment, is responsible for the red to pink colors in tomato, watermelon, red bell peppers, and pink guava. There are many health benefits attributed to lycopene including but not limited to its antioxidant activity. According to the American Lung Association’s State of Lung Cancer, lung cancer is still the leading cause of cancer death in the United States. Other chronic lung diseases such as asthma, emphysema, and chronic obstructive pulmonary disease are high prevalence. This chapter summarizes lycopene’s protective role against lung diseases in both in vitro and in vivo studies. While it has been demonstrated that circulating lycopene can be used as a biomarker for several lung diseases, further studies are warranted to establish that. We aim to provide insights into how lycopene can remedy for lung diseases, including lung cancer.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/74706",risUrl:"/chapter/ris/74706",book:{id:"10544",slug:"antioxidants-benefits-sources-mechanisms-of-action"},signatures:"Emilio Balbuena, Junrui Cheng and Abdulkerim Eroglu",authors:[{id:"336012",title:"Prof.",name:"Abdulkerim",middleName:null,surname:"Eroglu",fullName:"Abdulkerim Eroglu",slug:"abdulkerim-eroglu",email:"aeroglu@ncsu.edu",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"343981",title:"B.Sc.",name:"Emilio",middleName:null,surname:"Balbuena",fullName:"Emilio Balbuena",slug:"emilio-balbuena",email:"ejbalbue@ncsu.edu",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"North Carolina State University",institutionURL:null,country:{name:"United States of America"}}},{id:"343982",title:"Dr.",name:"Junrui",middleName:null,surname:"Cheng",fullName:"Junrui Cheng",slug:"junrui-cheng",email:"jcheng26@ncsu.edu",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"North Carolina State University",institutionURL:null,country:{name:"United States of America"}}}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_1_2",title:"1.1 Lycopene: chemical definition and metabolism",level:"2"},{id:"sec_2_2",title:"1.2 Lycopene: its antioxidant function",level:"2"},{id:"sec_3_2",title:"1.3 Lycopene: its dietary intake and bioavailability",level:"2"},{id:"sec_5",title:"2. Lycopene and lung diseases",level:"1"},{id:"sec_5_2",title:"2.1 In vitro and in vivo evidence",level:"2"},{id:"sec_5_3",title:"2.1.1 Asthma",level:"3"},{id:"sec_6_3",title:"2.1.2 COPD and emphysema",level:"3"},{id:"sec_7_3",title:"2.1.3 Acute lung injury",level:"3"},{id:"sec_8_3",title:"2.1.4 Pulmonary fibrosis",level:"3"},{id:"sec_9_3",title:"2.1.5 Lung cancer",level:"3"},{id:"sec_12",title:"3. Lycopene and lung diseases in human",level:"1"},{id:"sec_12_2",title:"3.1 Methods",level:"2"},{id:"sec_12_3",title:"3.1.1 Eligibility",level:"3"},{id:"sec_13_3",title:"Table 1.",level:"3"},{id:"sec_14_3",title:"3.1.3 Statistical analysis",level:"3"},{id:"sec_16_2",title:"3.2 Results",level:"2"},{id:"sec_16_3",title:"3.2.1 Asthma",level:"3"},{id:"sec_17_3",title:"3.2.2 COPD",level:"3"},{id:"sec_18_3",title:"3.2.3 Lung cancer",level:"3"},{id:"sec_21",title:"4. Concluding remarks",level:"1"},{id:"sec_22",title:"5. Future perspective",level:"1"},{id:"sec_23",title:"Acknowledgments",level:"1"},{id:"sec_25",title:"Abbreviations",level:"1"}],chapterReferences:[{id:"B1",body:'Palozza, P., et al., Tomato Lycopene and Inflammatory Cascade: Basic Interactions and Clinical Implications. Curr Med Chem, 2010. 17(23): p. 2547-2563.'},{id:"B2",body:'Rao, A.V. and A. Ali, Biologically Active Phytochemicals in Human Health: Lycopene. 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Nutr Cancer, 1998. 32(3): p. 154-158.'},{id:"B96",body:'Holick, C.N., et al., Dietary carotenoids, serum beta-carotene, and retinol and risk of lung cancer in the alpha-tocopherol, beta-carotene cohort study. Am J Epidemiol, 2002. 156(6): p. 536-547.'},{id:"B97",body:'Ito, Y., et al., Cancer mortality and serum levels of carotenoids, retinol, and tocopherol: a population-based follow-up study of inhabitants of a rural area of Japan. Asian Pac J Cancer Prev, 2005. 6(1): p. 10-15.'},{id:"B98",body:'Ito, Y., et al., Lung cancer mortality and serum levels of carotenoids, retinol, tocopherols, and folic acid in men and women: a case-control study nested in the JACC Study. J Epidemiol, 2005. 15Suppl 2: p. S140–S149.'},{id:"B99",body:'Klarod, K., et al., Serum antioxidant levels and nutritional status in early and advanced stage lung cancer patients. Nutrition, 2011. 27(11-12): p. 1156-1160.'},{id:"B100",body:'Le Marchand, L., et al., Vegetable consumption and lung cancer risk: a population-based case-control study in Hawaii. J Natl Cancer Inst, 1989. 81(15): p. 1158-1164.'},{id:"B101",body:'Michaud, D.S., et al., Intake of specific carotenoids and risk of lung cancer in 2 prospective US cohorts. Am J Clin Nutr, 2000. 72(4): p. 990-997.'},{id:"B102",body:'Rohan, T.E., et al., A cohort study of dietary carotenoids and lung cancer risk in women (Canada). Cancer Causes Control, 2002. 13(3): p. 231-237.'},{id:"B103",body:'Satia, J.A., et al., Long-term use of beta-carotene, retinol, lycopene, and lutein supplements and lung cancer risk: results from the VITamins And Lifestyle (VITAL) study. Am J Epidemiol, 2009. 169(7): p. 815-828.'},{id:"B104",body:'Shareck, M., et al., Inverse Association between Dietary Intake of Selected Carotenoids and Vitamin C and Risk of Lung Cancer. Front Oncol, 2017. 7: p. 23.'},{id:"B105",body:'Stefani, E.D., et al., Dietary antioxidants and lung cancer risk: a case-control study in Uruguay. Nutr Cancer, 1999. 34(1): p. 100-110.'},{id:"B106",body:'Steinmetz, K.A., J.D. Potter, and A.R. Folsom, Vegetables, fruit, and lung cancer in the Iowa Women\'s Health Study. Cancer Res, 1993. 53(3): p. 536-543.'},{id:"B107",body:'Talwar, D., et al., Effect of inflammation on measures of antioxidant status in patients with non-small cell lung cancer. Am J Clin Nutr, 1997. 66(5): p. 1283-5.'},{id:"B108",body:'Voorrips, L.E., et al., A prospective cohort study on antioxidant and folate intake and male lung cancer risk. Cancer Epidemiol Biomarkers Prev, 2000. 9(4): p. 357-365.'},{id:"B109",body:'Yuan, J.M., et al., Dietary cryptoxanthin and reduced risk of lung cancer: the Singapore Chinese Health Study. Cancer Epidemiol Biomarkers Prev, 2003. 12(9): p. 890-898.'},{id:"B110",body:'Bakker Schut, T.C., et al., Intracellular carotenoid levels measured by Raman microspectroscopy: comparison of lymphocytes from lung cancer patients and healthy individuals. Int J Cancer, 1997. 74(1): p. 20-25.'}],footnotes:[],contributors:[{corresp:null,contributorFullName:"Emilio Balbuena",address:null,affiliation:'
Plants for Human Health Institute, North Carolina State University, USA
Department of Molecular and Structural Biochemistry, College of Agriculture and Life Sciences, North Carolina State University, USA
Plants for Human Health Institute, North Carolina State University, USA
Department of Molecular and Structural Biochemistry, College of Agriculture and Life Sciences, North Carolina State University, USA
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1. Introduction
Colour and aesthetics are as important as its various physical properties for textiles/garments, leather, moulded plastics,and products of various other fields. The ability to integrally colour(dyeing and Printing) textiles, leather, plastic moulded articles has an important edge over others non polymeric rigid hard materials like metals etc.
Matching of colours and imitate texture, especially in specific textiles of different fibres and blends is crucial in many of its apparel applications. The task becomes more difficult when colours need to be exactly matched with standard colour yield desired with endurable criteria for acceptable colour fastness to wash, rubbing, light and perspiration etc. for different textiles/plastics and polymer products. So, understanding Theory of colour measurement, quantification, for well defined applications of different dyes/pigments on different textiles materials has become a must for the textile or leather dyers/printers and plastics injection moulder/wall paints etc.
Day by day, more and more concern of consumers on colour matching for consumers’ textiles and live-style products of apparels and furnishings, bed linen and auto-mobile (car) Interiors, appliances and along with polymer/plastic assemblies, are pushing the dyed/printed coloured textile product manufacturer to develop their products with more precision colour matching with least meta-merism.
In order to understand the colour we have to know, how the colour is perceived. The perception of colours [1] involves the interaction of three elements. (i) source of light, (ii) an object and (iii) human eye.
2. Colour theory
Colour can be broadly defined as the physio-psychometric effect on the brain of an observer from reflected wavelength of an object, when that object is viewed in presence of a definite light source.
Colour theory meant a Standardised scientific method with specific mathematical/empirical formula with arrangement of incidence of light/standard illuminant for absorption and reflection of the colour on and from the object and then detecting folowed by measurement of colour value specific reflactance or any other quantified values to record and communicate colour information for reproducibility and matching.
2.1 CIE definition 845-02-18 of perceived colour
As per CIE definition 845-02-18: (perceived) colour may be defined [2] or perceived as “ Attribute of a visual perception consisting of any combination of chromatic and achromatic content. This attribute can be described by chromatic color names such as yellow, orange, brown, red, pink, green, blue, purple, etc., or by achromatic color names such as white, gray, black, etc., and qualified by bright, dim, light, dark etc., or by combinations of such names [Unquote].
Human Perception of colour usually appear to describe a colour in terms of amount of RGB (Red, Green and Blue) sensation of human eye as an additive colour mixing system (as shown in Figure 1) distinguish among qualitative and geometric differences of colour perceptions by its predominating Hue (predominating Reflected wavelength observed), Value (Light or Dark i.e. White or Black respectively) and chroma (Strength or Concentrations of Coloured mol.) [1] with/without associated brightness/dullness and uv absorption.
Figure 1.
Schematic display of colour observed from RGB primary colour stimuli with standard illuminant by a standard observer /detector.
Thus, Colour of any object can be considered as an physio-psychological illusion of reflected radiation / visible light from a substance/object after incidence of light on it, which is to be detected in exact quantitative terms by amount of RGB in it (Figure 1), while, colorimetry is the measurement and evaluation technique of colour value in any quantifiable terms by which this physio-psychological sensation of our eyes can be converted to the actual physical measurement of colour values either in solution or in solids in some sensory values of primary colours.
If any one want to buy a skirt or a pair of slacks to match a jacket, one cannot match the colour by memory — he/she has to take the jacket with him/her to match it visually by judging colour by eye measurement in the store itself. it may happen that in some cases, the store light is insufficient and faulty matching by eyes results, So, one has to match it also under standard and sufficient incandescent light in the dressing room and and also in the outdoor sunlight too.
Three fundamental components of understanding or measuring or matching any colour:
light sources /standard illuminant
objects / samples illuminated by standard light
observers /detector to record colours reflected from it
Most Important and commercially useable Two of the major Colour quantification systems are:
Munsell Colour Theory -hue, value and chroma
The CIE Theory of Colour -Tristimulus values (X, Y and Z) and CIE L*, a*and b* values
The CIE Theory of Colour −1931 updated in 1976 [1.2] is in wide commercial use for textile’s colour communication and hence it has significant importance in apparel sector and is described below.
2.2 CIE 1931 standard theory of colour
The Commission Internationale de l’Éclairag e (CIE) has recommended x(l), y(l), z(l) for lÎ [360 nm, 830 nm] in 1 nm steps for distinguishing colour based on tristimulas values, which are well accepted/.
Over a wide range of conditions of observation, many colour stimuli can be matched in colour completely by additive mixtures of three fixed primary colour stimuli (RGB) combine linearly, symmetrically, and transitively and may be expressed as X (stimuli of Red Primary), Y (stimuli of Green primary), and Z (*Stimuli of Blue Primary) as three coordinates called Tristimulus values (X, Y and Z) or stimuli of any colour observed under standard illuminant under standard detector / observer, based on reflected contributions of R G B primaries from any object (Figure 1) having spectral sensitivity of RGB primary stimuli (as shown in Figure 2a) and actual Tristimulus values of any object (X, Y and Z values, as per formulation shown in Figure 2b).
Figure 2.
(a): Spectral sensitivity of human eyes of RGB primary Stimulli and (b): Resultant actual measurement of reflectance values and corresponding Tristimulus values of any object.
Thus, a monochromatic colour stimulus (Ql) of wavelength L, it can be represented /expressed as
Ql=XlR+YlG+RlB,
where Rl, Gl, and Bl are the spectral tristimulus values of Ql.
Consequently, the CIE 1931 chromaticity diagram [1, 2, 3] is not a perceptually uniform chromaticity space from which the perception of chromaticity can be derived, where (Figure 3a and b)
Figure 3.
a: CIE 1931 chromaticity diagram showing b: CIE 1931 chromaticity diagram all predominating visible hues at 380-700 nm (coloured) showing x and y coordinates.
x=X/X+Y+Z,E1
y=Y/X+Y+Z,E2
z=Z/X+Y+Z,E3
andx+y+z=1E4
and alsoz=1‐x‐y.
Hence there is no need to plot a three dimensial x,y and z diagram, rather the 2 dimensional chromaticity coordinate plot (Figure 3a or b) is sufficient to get x,y & z values from x vs. y plot of 2 dimensional CIE chromaticity diagram [1, 2, 3].
As per 1976 CIE L*a*b* colour space, L*, a* and b* values for comparing colour differences in betrween two samples of same or similar textile fabrics n be represented by ∆L*, ∆a* and ∆b* values [1, 2, 3].
CIE 1976 lightness/darkness is represented by, L* (L = 0 black and L-100 white), more or less similar to lightness distribution to the Munsell Value scale and, CIE 1976 scale of redness (a*−ve) /greenness (a*−ve) is represented by a* and CIE 1976 scale of yellowness (b*+ve) /blueness (b*−ve) is represented by b*, and1976 CIE L*a*b* colour space diagram represent total colour differences value by ∆E or ∆E * (as shown inFigures 4and5).
Figure 4.
CIE-L* a* b* system of colour difference plot to determine ∆L*, ∆a* and ∆b* values of a pair.
Figure 5.
Example of metameric match under two different illuminant (day light and Fluoroscent light conditions.
Where,L∗=116Y/Yo1/3–16,ΔL∗=L∗1–L∗2E5
a∗=500X/Xo1/3–Y/Yo1/3,Δa∗=a∗1–a∗2E6
b∗=200Y/Yo1/3–Z/Zo1/3,Δb∗=b∗1–b∗2E7
Chroma, (psychometric chroma) values in CIELAB colour space [1, 2, 3] was calculated as follows:
Cab∗=a∗2+b∗21/2,ΔC∗=C∗1ab–C∗2abE8
Where, C*1(ab) and C*2(ab) are the chroma values for standard and produced sample.
CIE 1976 metric Hue-Difference (∆H) for CIELAB system [1, 2, 3] was calculated as follows:
As per Kubelka Munk Equation [1, 2, 3]. Surface colour Strength (K/S value) of Coloured flat surface is:
K/S=Co‐efficient of absorptionCo‐efficient of scattering=1−Rλmax22Rλmax=αCDE11
Where K is the coefficient of absorption; S, the coefficient of scattering; and Rʎmax, is the Reflectance value at maximum absorbance wavelength (λmax) and CD is the dye concentration and α is the constant.
For use mixture of colourants to obtain a compound shades on the surface of textiles or similar substrate, as K/S is additive in nature, it can be represented as follows:
Moreover, plot of dye concentration Vs K/S value is linear in relation and is easier to predict for any unknown concentration of dyes, while plot of Reflectance vs. dye concentration is non linear in relation and is difficult to predict and hence K/S is an important surface colour measuring criteria of textiles, against application of increase or decrease in dye concentration on same or similar fabrics.
For coloured textile materials, it may be presumed that dye molecules are not contributing to change in scattering and therefore K integrated over visible wavelength is the total sum of absorption of dyestuff and textile substrate (so, if substrate is not changed, scattering is not changed). Therefore, surface colour strength i.e. K/S value is directly proportional with concentration of dye molecules and the scattering value of the dyed textile sample is not dependent on the concentration of dye stuff (but that is not true for the case of pigments in paint or binded over textile substrate with binder chemicald and fixed on the surface of the materials). So, for textile substrate, it is single constant theory of Colour Matching applicable for all textile materils.
Hence, for any textile surface, for the particular dyed/coloured textile sample (Fibre, Yarn and Fabric construction and type and amount of surface deposited (coated or impregnated)finish remains un-altered), and scattering values remains constant always, if textile fabric used is not changed.
Thus higher is the K/S value, meant higher is the absorption value, meant higher absorption value signifying or indicating higher surface dye uptake, governed by following formulae.
Finally, reflectance Vs. dye concentration is not linear & is difficult to interpolate or curve fitting.
While K/S Vs. dye concentration is linear can be interpolated thus can be used in computerised colour measurement and matching software.
2.3 Principles of colour matching of dyed textiles
A colour match between two sets of samples means:
Colour of produced sample = Colour of given standard sample i.e. (XSL,YSL,ZSL) values of produced sample = (XSD,YSD,ZSD) values of given standard sample while X,Y & Z are the tristimulus value of produced Sample (SL) and Standard (SD) sample Also match may be predicted or judged [1, 2, 3] by (Reflectance)SL of produced sample integrated at 400 to700 nm = (Reflectance)SD of standard sample integrated at 400 to 700 nm or (K/S) SL values of produced sample = (K/S) SD value of standard sample, where K/S = α CD and K/S values (as per kubelka munk Equation [1, 2, 3]) as stated above), is:
K/S=Co‐efficient of absorptionCo‐efficient of scattering=1−Rλmax22Rλmax=αCDE15
For a ternary mixture of colourants/dyes to obtain any particular compound shade on textiles, three equations are to be solved as a function of dye concentrations of the colourants (1,2,3 or n) and have to determine tristimulus values or K/S Values obtained through reflectance measurement of samples to match. More over K/S value being additive and dye concentration vs. K/S being linear in nature, the resultant K/S value of a dyed sample (dyed with mixture of three different dyes (d1, d2 and d3) in respective concentrations (c1, c2 and c3) is represented by following matrix equations:
Where, X, Y and Z are the tri-colorimetric tristimulus values of samples produced i.e. to be matched finally and c1,c2, c3 are the exact concentration of amount of dyes/colourants required.
In practical ceases, the reflectance values of given standard sample at 400 to 700 nm are determined from given standard coloured solid textile fabric surface and the obtained results of reflectance values at different wave length in visible region are processed in computer aided colour matching software for matching X, Y and Z values of produced samples or simply by comaparing the total integrated K/S values at 400–700 nm wavelength (visible range) for ultimate checking of colour matching of textiles in terms of allowable limits (tolerences) of colour difference values of ∆ L*, ∆a* and ∆b* values representing 1976 CIE L*a*b* colour space diagram and in terms of allowable limit of total colour differences value represented by ∆E / ∆E *.
A textile match however should be ideally be an isomeric match i.e. match under all illuminant. But in actual practice, when two coloured sample show a match of colour under one illuminant may not match under other illuminantand this difference of match under specific two conditions of different illuminant is termed as illuminant based metameric match. Besides variation of illumainnat, there are other different types of metamerism for change of conditions of colour measurement, as follows, arised during colour matching under varying ambience of any one factor or others [1, 2, 3]:
Types of metamerism:
Illuminant metamerism: example: daylight and D65 simulation fluorescent lamp
Object metamerism: example: metameric inks (see metamerism kit)
Observer or Sensor metamerism: example: Instrumental scanner and human visual perception
Complex metamerism and Instrument metamerism: example:two inks/ dyed clothes measured under two different instruments.
Colour matching is therefore based on to find a Least metameric match where, General metamerism index [1, 2, 3] is as given below:
General metamerism Index=∑ΔRx¯2X2+∑ΔRy¯2Y2+∑ΔRz¯2Z2E17
Where ∆R = Difference in reflectance between pair of metamer samples; x¯,y¯, z¯ = CIE standard observer colour function X, Y, Z = CIE tristimulas value normally taken for illuminant C.
The Metamerism-Index (MI) shows the probability that two samples will show the same colour difference under two different illuminants (represented by the first and second illuminant) or under two different instruments or under any two different conditions of colour measurements. CIE LAB i.e. LABD metamerism index [1, 2, 3] is represented as:
MILABD=ΔL1∗−ΔL2∗2+Δa1∗−Δa2∗2+Δb1∗−Δb2∗212E18
∆L1*, ∆a1*, and ∆b1*are the Delta CIELab* colour coordinates between Standard and Sample for the first illuminant and ∆L2*, ∆a2*, and ∆b2*are the Delta CIELab* colour coordinates between Standard and Sample for the second illuminant Interpretation:
When, MI (metamerism index) is low, the colour difference between the sample pair (standard vs. produced) is the more closer and similar, for different conditions of measurement even under different illuminants.
Reflectance Spectrophotometers are very effective instrument in measuring and recording colours of any solid substrate / textiles from its substrate. All measurements are done by CIE −1976 System [1, 2, 3], which is commonly used in textile and other colour related industry.
The accuracy of colour matching of textiles depend on the set of tolerance limits [1, 2, 3] for ∆ L*, ∆a*, ∆b* and ∆E / ∆E *. values under pre decided illuminant as standard illuminant, which is another significant task. It is generally thumb rule from practical observations that DE values below or within 1.0 are acceptable match i.e. DE values above 1is not a good match at all. Moreover, during dyeing in industry, all dyers and other relevant people likes to create more stringent tolerance values for colour matching of textile substrate preferably DE value are to be within 0.7 only. Setting of colour matching tolerences in terms of Colour differences values are discussed later in item 3.1 in details.
Thus these colour difference data has many benefits to the dyers entailing how much it is darker or light, how much it is redder or greener or how much it is bluer and yellower, when the shades of two nearly match samples are compared. Thus, Human eye estimated perception of colour differences between two or more objects against any standard shade, can be quantified to numerical values of colour differences in terms of total colour differences (DE values) and also in terms of DL(light and dark), Da (redness and greenness) and Db (blueness and yellowness). This has made easier to match/compare colours of textiles of a nearly matched two dyed textile samples(Standard shades given vs. Produced shade) by determining what are the colour differences between the two, leaving behind opportunity by batch correction either manually or instrumentally [1, 2, 3] to help different dyers to add or substract particular colour to get better match.
2.3.1 Batch Correction in subsequent iteration to improve match precision
The reformulation of batch correction issue for computing the incremental value of concentration of dyes by each iteration at each stage may be represented by the following matrix as follows [4]:
ΔC1=∂C1∂XΔX+∂C1∂YΔY+∂C1∂ZΔZE19
ΔC2=∂C2∂XΔX+∂C2∂YΔY+∂C2∂ZΔZE20
ΔC3=∂C3∂XΔX+∂C3∂YΔY+∂C3∂ZΔZE21
2.4 Colour measuring instruments
Photometry is the most common analytical technique used in measurement of colour in solution/solid in the laboratory. It is designed to measure the intensity of transmitted /reflected beam of light through the coloured solution/solid. Different types of instruments with Photometric principles are applied to the different ways of analysis of coloured materials /substrate/solution by different techniques [5] as listed below:
Where absorbed or transmitted light is measured:
Colorimeter
UV–VIS Absorbance Spectrophotometer
Atomic absorption spectrophotometer, and
Turbidometer
Where emitted light is measured: Flame photometry
Where reflected light is measured: UV VIS Reflectance Spectrophotometer
In analytical chemistry or in textile analytical chemistry laboratory, colorimetry based on UV VIS Spectrophotometer technique is used to determine the concentration of coloured compounds (analytes) in sample of a coloured solution or in solid coloured sample of textiles or leather or plastics or polymer film or any other chemical compounds” at visible spectrum of light (400–700 nm as VIBGYOR as described in Figure 6), is observed in the visible spectrum of electromagnetic radiation, emitted in the form of dominating wave lengths emitting VIBGYOR wavelengths ranging from 400 nm to 700 nm. Similarly UV Light /sunlight radiation usually is observed to have UV radiation of 180 to 380 /400 nm wave length, as UV-A, UB-B, and UV-C type.
Figure 6.
Major wavelength from incident white light dominating at visible range.
UV VIS Spectrophotometer technique of colour measurement are done by following two principles:
UV VIS Absorbance Spectrophotometry: (for determining UV–VIS wavelength scan pattern of a particular coloured compounds/dyes and to determine concentration of pure coloured compounds/dyes (analytes) in sample solution(dilute solution)
UV VIS Reflectance Spectrophotometry: (for determining UV or VIS wavelength scan results of a solid materials surface (dyed/printed coloured textiles, leather /paper, cosmetics etc) of any particular coloured materials /dyes etc and to determine concentration of surface colour strength of any of the said coloured materials’ surface for a solid sample(non- destructive) [6].
This chapter mainly covers the basic principles of analysis of surface colour parameters vis a vis other appearance properties of the surface of solid textile materials and associated colour difference parameters by using Reflectance Spectrophotometer in terms of specific 1931 CIE and 1976 CIE formulae [1, 2, 3] for determination of all specific Surface colour parameters of textile materials, changes with or without different chemical processing and computer aided colour match prediction theories and practices [7, 8].
2.5 Reflectance spectrophotometer
Reflectance Spectrophotometer is an human eye simulated UV–VIS double beam spectrophotometer instrument for measuring colour of solid textile surface under standard illuminant and standard observer with or without Uv Absorption included and Excluded to measure reflectance, surface colour strength and to compare the colour differences of two sets of samples nearly to match or unmatched/matched coloured samples and also for storing and analysis of database of colour values of different textile dyes applicable to different textile substrate and its use for computer aided colour match prediction at finger tips with specific allowable limits of ∆L*, ∆a* and ∆b* and ∆E * values of colour differences as well as Studies on quality checking of Dyes, effect of dyebath additives, dyeing process variables and UV absorbance criteria of dyes / additives and effect of UV-absorbers/Optical brighteners on textile fabric under given treatment conditions and after care treatment/washability etc.
2.6 Diagram of Relecatance spectrophotometer and its working principles
In UV–VIS reflectance spectrophotometer based on measuring reflectance of the solid sample for measuring different colour parameters for quality control and colour matching purpose, there is tungsten light source, which acts as source of monochromatic incidence light and it falls on the opaque surface of the solid sample at a particular incident angle to reflect at the same angle for specular reflectance component and also reflects the incident light all around in diffused form at all angles for non-specular reflectance inside the integrating spehere. THere are specular component in and out arrangement with UV component in and out arrangement for specific requirement of setting ofv the instrument. Led detector situated in the inside circumference of the integrating sphere detects the total reflectance values at all diffused angles as well as at specific specular reflectance angle and the amount of reflected light intensity is measured and shown as the reflectance values of sample at different wave length. Finally from reflectnace values obtianed for any sample, it calculates other colour parameters as per CIE −1976 formulae [1, 2, 3] and other formulae as per software inserted/installed for it for the data processing in a suitable computer system for computer aided colour measuring and also for textile match prediction system using pre-fed data base of textile dyes.
Usually a double beam UV VIS reflectance spectrophotometer, the incident light beam is first split into two parts by a half mirror as two light beam called double beam. One light beam falls /passes on the sample mounted and the other light beam falls (for reflectance mode) /passes (for transmission mode) through a control sample panel. This system of double beam eliminates the problems of interference from control sample and normalises the variations in reflected /transmitted light intensity readings uncreasing accuracy of the instrument reading, as the final reflectance/ transmittabce/absorbance values are taken as the differences between the readings of two reflected/transmitted beams of light intensity recorded. The semicircular LED Detector inside the integrating sphere measures both the two reflected/transmitted light intensity alternately and gets its processed in computerised processor to give final reading. However, in some UV–VIS spectrophotometer, a second detector is separately installed to measure the intensity of the two beams separately. Thus, the major instrumental parts of an UV–VIS Double Beam Reflectance Spectrophotometer are shown in Figure 7 indicating the position of light source, diffraction grating, monochromator, sample cell/ integrating sphere, detector and integrator and computerised recorder. The instrument changes the light source from visible to UV light at about 350 nm by a mechanically moving mirror, as shown in Figure 7.
Figure 7.
Schematic diagram of working of UV–Vis spectrophotometer.
The diffused reflection shows total effect of incident light including specular reflection in integrating sphere diffraction, which may be excluded by opening a port at particular angle without detecting the specular reflections in UV–Vis reflectance spectrophotometer and different types of solid samples with varying surface and texture show variation in reflectance values, effecting surface colour strength, as shown in Figure 8.
Figure 8.
Schematic diagram of optical system of UV–Vis reflectance spectrophotometer.
Sphere Geometries of illumination and viewing in reflectance spectrophotometer [7, 8] is very important here. It is based on mesaurement of Reflectance of dyed samples of textiles. On a glossy surface there are mirror-like (specular) reflections and there are more reflections in the case of diffuse light sources. Figure 9 shows the effect of transmission mode and total reflection mode of integrating sphere of in UV–Vis reflectance spectrophotometer, showing provision of specular component inclusion and exclusion by keeping specular port off and on (close or open).
Figure 9.
Schematic diagram of working of integrating shere type optical system in UV–Vis reflectance spectrophotometer.
Since the colour of the illuminant is white, specular reflections add white, with the effect of de-saturating the colour. Textiles or any non-metallic glossy surfaces look more saturated in directional than in diffuse illumination, while matte surfaces scatter the light diffusely — matte surfaces usually look less saturated than glossy surfaces.
Most of the textile surfaces are between glossy and matte and hence in reflectance spectrophotometer, diffuse illumination is provided by integrating spheres with provision of gloss traps /lid at regular reflection points to include or exclude specular/regular reflectance in instrumental set up. REflactance spectrophotometer Instruments with 45/0 and 0/45 geometry are less critical and give better results and accuracy. ASTM recommends [1, 2, 3, 4] use the geometry that minimises surface effects (usually the one that gives lowest Y and highest excitation purity) for partly glossy samples. 45/0 geometry gives rise to polarisation problems [9].
2.6.1 Calibration and certification of the instrument ‘s accuracy
White calibration: Before Use always this instrument should be callibrated with standard white tiles equivalent to white surface of saturated dry layer of Magnesium sulphate, which adjusts computational parameters for any setting disturbances, so the calculated reflectance values match with calibrated value of white tiles being 100 and the accuracy of reflactance curve is the same as the absolute reflectance curve do it often.
Absolute certification: The instrument need better to be certified by NABL, which verifies that the measured colour of the standard white tile is 100 or specified values by manufacturer, within the tolerance (e.g. within 0.6 ∆E * units) from the absolute colour of the standard white tile, in perfect agreement between instrument and laboratories, when checked for certifiocation.
Relative certification: verifies if the measured colour of the standard white callibrated tile is within the tolerance (e.g. 0.3 ∆E * units) from the initial colour of the standard white tile in the same instrument, which is very very important for reproducibility and reliability of colour data produced.
2.6.2 Measurement of overall colour difference index
Colour Difference Index (CDI) [10] indicates the combined effects of different known individual colour difference parameters between any two samples when dyed with varying conditions of dyeing, indicating dispersion of colour value, to understand the combined effects of different dyeing variables by a single parameter. For application of same concentration of dye between two sets of dyeing under any varying conditions of dyeing like pH, taking only the magnitudes of the respective ΔE, ΔC, ΔH and MI values (irrespective of their sign and direction) may be considered to calculate CDI values using the following empirical relationship [10].
Colour Difference IndexCDI=ΔE×ΔHΔC×MIE22
Higher the CDI value dispersion of Colour values are more widely dispersed and that variable become critical for reproducibility for such dyeing. So, Lower CDI value below 5.0, is considered as good.
2.6.3 Use of Standrad Illuminats in reflectance spectrophotometer
The followings are the Standrad Illuminats [1, 2, 3] used in Reflectance Spectrophotometer, providing UV -Tungsten lamp for different illuminant with swift arrangement of Illuminnat -A to Illuminnat -D65.
Standrad Illuminant A (CIE): CIE standard illuminant -A is defined as equivalent light source from a tungsten filament (as radiator) when heated at 2854°K(as correlated colour temperature)
Standard Illuminant D65 (CIE): CIE standard illuminant -D65 is defined as a representation of natural daylight considering as equivalent light source from a tungsten filament (as radiator) when heated at 65040 K (as correlated colour temperature)
Standard illuminants B and C: CIE Standard illuminant -B and C are defined to represent as simulated direct sunlight, as equivalent light source from a tungsten filament (as radiator) when heated at 4874°K and 6774°K respectively (as respective correlated colour temperature). But, Standard illuminants B and C are not so much used and are being dropped because they are seriously too much deficient in the UV region (important for fluorescent materials)
Standard Observer: There are two angular view areas considered as standard viewing areas called 20 standard observer (small area of view) and 100 standard observer (large area of view) as shown in Figure 10 [1, 2, 3]. As recommended by CIE, in 1964, the larger area of view of solid samples mounted for colour measurement on sample port of UV VIs reflectance spectrophotometer is most widely used for evaluating colour values and for colour matching of various types of solid samples including textiles. Ordinary Colorimeters, on the other hand, typically use a 20 Standard Observer (as per CIE, 1931), which has a smaller area of view and is common for general colour measurement and colour quality control and evaluation purposes for comparative purposes and also for printed textiles.
Figure 10.
20 standard observer (small area of view) and 100 standard observer (large area of view).
2.7 Computer aided colour match prediction system
Computer aided Colour Match prediction system (CACMPS) [4, 9] is the combination of specific hardware and software for scientific use for measuring colour of solid textile surface for given sample as standard for predicting the dyeing recipe or formulation for the exact shade reproduction in a textile fabric sample to produce. Hence, this technique is known by names e.g-computer colourant formulation, computer recipe prediction, Instrumental colour matching system or Computer aided Colour Match prediction system (CACMPS) using reflectance spectrophotometer and associated computerised sytem for storing and analysis of data with specific software to predict colour matching of textile substrate. A colour matching computer system consists of the following three basic modules,:
Colour measuring instrument: A Reflectance Spectrophotometer with specific geometry of colour measurement, which expresses the colour in numerical form in terms of X,Y, Z or R or K/S values with L*, a* and b*, ∆L*, ∆a* and ∆b* and ∆E * values.
Computer hardware: Usually latest PC or Laptop based Computing and data analysis and storing system for data storing, analysing and processing for converting and comparing etc.
Specific Computer aided colour match prediction software with desirable Logic system for computer aided colour measuring /storing and analysis of colour data to convert into relevant information in terms of calculating X,Y, Z, R, K/S values and L*, a* and b* values or, ∆L*, ∆a* and ∆b* and ∆E * values for textile surface colour measuring and colour match prediction by the said /compatible specific Software to obtain desirable output required.
So, Suitable Software is crucial in recording, analysing for colour measurement and matching and for comparing a pair of nearly matched textile dyed/coloured samples. Samples should have the same type of fabric, same surface finish and same shape as far as possible, for accurate measurements.
The Reflectance Spectrophotometer has small view and large view sample mounting holders with small hole area or large area hole respectively to place sample to scan its surface for colour measuring and recording in the diode type detector to use for storing and analysis for comparison to obtain X,Y, Z or R or K/S values with L*, a* and b*, ∆L*, ∆a* and ∆b* and ∆E * values for further use and processing for computer aided colour match prediction from stored colour data of dyes known as database(Fabric type wise, Dye class wise or Dye Company wise etc) as per requirement.
After that, the associated Computer aided colour match prediction software takes over the rest part of the work of calculations and comparison of colour data to show the measured values and calculated colour values using stored colour database of specific dyes for specific type of textile substrate. Table 1 shows Computer aided colour match prediction system (CACMPS) generated dyeing recipe and its dye cost and estimated approxmiation of Colour difference values with least metameric ratio for cotton fabric sample to be dyed to match against given standard samples using direct dye data base stored.
Standard Name
=
C51555ton cotton
Mode
=
Spectro %RFL
3.28
3.50
3.83
4.77
5.94
8.27
9.61
11.71
12.19
‘13.08
10.72
9.42
8.67
7.68
6.53
5.36
File
name
=
Dir cot
—
3
dye combination
ID# selected
=
2,
3,
4,
,5,
6,
9,
11,
Subst ID#
=
1 bleach cotton
DED65’. 1.00
DEA.
=
1.00,
Amount
t
=
100
Exhaustion factors are included, Operator
ID# Colourant
Amount
Per cent
da*
db*
dL* ClE
dE*
Rs
Recipe Generated
Formula#1
3
OrangeSE
0.0408
0.0408
D
−0.0
−0.0
0.0
0.0
18.51
5
Cry SE
0.4238
0.4238
A
−0.6
0.2
0.0
0.2
187.73
9
Turquoise Blue
1.6111
1.6111
F
−0.5
0.3
0.3
0.7
285.44
2.0747
2.0747
491.68
Formula # 2
4
Scarlet
0.0362
0.0362
DS
−0.0
−0.0
0.0
0;0′
16.12
5
Cry SE
0.5466
0.5466
A
−0.5
0.3
0.0
0.6
194.77
9
Turquoise Blue
1.4834
1.4834
F
−0.4
0.2
0.1
0.5
224.04
2.0662
2.0662
434.93
Table 1.
A case study of colour match prediction from the database of direct dye for cotton.
The above shown formulae of colour match prediction generated against standard shade C5, has generated two possible recipes, and is difficult to decide which one we should accept and proceed for bulk dyeing. From the Point of least metamerism, formulation-1 and from the point of least cost Formula −2 are respectively found better after 4 trial run in Computer aided colour match prediction system (CACMPS) within DE limit to 1.00. Thus, computer predicted formulation −2 is least cost and formulation −1 is least metameric in nature, as shown in output result generated here.
3. Some practical consideration during measurement on CCMP system
The practical aspects of data base generating match generation using a data base, setting up proper DE or multiple colour tolerance & above all accurate spectrophotometer measurement depends on following factors.
3.1 Colour matching tolerance set-up and pass/fail system
It is also essential to develop mutually agreeable pass/fail system between buyer or seller or by company itself for their shade control to match produced samples lot with the colour values of standard shade given, which should be specified by set up specific tolerance values of these colour difference criteria for any par of near matched textiles. These may be more important while considering batch to batch variation during production of shades as per match of standard samples given. As all textile dyers and dyeing units or composite textile mills have procured this computer aided colour match prediction system, this become a regular job to check match accuracy from shift to shift or lot to lot variation always, to understand the colour differences from standard shade given. So that the colour differences from batch to batch variation at factory /dye house in company production department, the shade may be corrected by revised addition of dyes, to obtain more precision match, so that chance of rejection in export level on this ground may be eliminated and for this, specific sets of colour tolerances values are decided and pre -set.
In practice in textile industry/ dye houses, for dyed /coloured cotton textiles, if not otherwise mentioned/specified, the thumb rule for setting a symmetric colour tolerances values in terms of dL*, da*, db* and dE* for effective colour matching of cotton textiles are as follows:
Standard set of colour tolerence values: dL* = 0.7 to 1.2; da* = 0.6 to 1.0 db* = 0.6 to 1.0; dE* = 1.0 to 1.5 applicable for selected common shades and common dyes for cotton. However, these colour tolerence limits for colour matching of dyed textiles could be somewhat narrower in case of requirement of precission matching. The main dependant factors responsible for lot to lot or batch to batch dyeing production with variation of shade are: i) weighing / solubilisation/dilution error, ii) substrate and pre treatment variation, iii) pretreatment or heat setting variation, and iv) Variation in dyeing conditions by change of dyeing process variables or variation in additive concentrations and 5) dye selected and its purity.
3.2 Calibration dyeing for preparation of data base
The calibration dyeing for preparation of dyestuff data base for dyeing specific textile fabrics with selected type and class of dyes is an essential pre requisite. After selection of substrate and class of dyes and dye manufacturer/suppliers), to run a computer aided colour measuring and matching system, preparation of dyestuff data base ton store using selective class and type of dyes, the control bleached cotton/ otherwise textile fabric sample are to be dyed with each selected dye at 5-8 different concentration levels of dyes (say, within 0.1 / 0.5 to 4%) and those samples dyed are to be subjected to measure their reflectance values at different wavelength and their individual values or their integrated sum of these REflectance / tristimulus colour values are to be stored for futurev uses to form a Dye class wise/company wise data bank or data base of all different type of dyes for specific substrate / substance following a particular standard process of dyeing in a separate file of the computerised processor or computer to use at every re-call. Samanta et al. [9, 10] mentioned the cares necessary for accuracy in colour measurement of textiles including nos. of folding etc. and orientation of samples and measure of colour difference index values etc. Randall and Stutts [11] specifies how to prepare reliable samples of calibration dyeing for creating dyestuff data base in computer aided colour matching system as a most important step. For optimum efficacy in computer aided colour matching system, the laboratory dyeing machine and process must be highly controlled in terms of dyeing process variables and all these must be standardised before callibration dyeing be carried out accurately, which is to be assured by the lab dyers /colourist to store precision colour data/ dyestuff database separately for company wise /substrate wise for separate class of dyes.
3.3 Checking of linearity / non-linearity for plots of K/S vs. dye conetrations in dyestaff data base
The accuracy of computer aided colour matching system depends on the correct dyestuff data base preparation as discussed in calibration dyeing in item 3.1 above. The accuracy of dyestuff data base can be checked by checking linearity of K/S vs. Dye Concentrations curve pattern for each individual dye applied on same substrate under standardised control dyeing conditions. Sometimes, this linear relation does not exist and then the deviation from linearity is to be eliminated, before such dyestuff data base are stored for future use of colour matching functions. The deviation from linearity of plot between K/S vs. dye concentration are due to (i) inherent variation in dye uptake rate or variation in exhaustion rate of the dye for higher percentage of dyes (ii) unknown interference of dyes with given dye bath auxialaries (iii) variation in dyeing conditions /stirring rate (iv) weighing/solubilisation/dilution error (v) impurities/agglomeration of few dyestuff itself, where these said reasons causes a variation of dyeing with increase in dye concentration [9] showing non linearity/deviation from linearity in observed. Dye uptake.
Therefore, this linearization is to be ultimately done by statistical best fit linearization process or elimination of one or two concentrations of dyes(where /from which point the said linearization is originated/deviated) for particular dye or by empirical modifications of the equation of K-M functions (K/S value). before storing dyestuff database to be used for colour match prediction of coloured textiles easily. For this type of special cases, the dye absorption co-efficient/difussion coefficient of the dye is to be determibned and to be checked at about five to eight level of dye concentrations to check the dyeing absorption/diffusion rate and then linearization can be made either eliminating few dye concentrations where dyeing rate is much varying. Repeat colouration is to be done to avoid variation in dyeing process variables to get correct data. Only after linearization of plots of K/S vs. Dye concentrations, the individual dyestuff data base may be stored in the computerised storing and saving file as ready made database for use in predicting recipe for colour matching formulations for specific substrate for specific dye class within user choiced/ standard tolerances of colour differences in terms of DE, DL, Da, Db values under standard illuminants of D65 or otherwise. If dyestuff cost are entered and uploaded and updated regularly, the dye cost of predicted colour matching formulations are also available along with predicted metamerism values.
3.4 Effect of variability in measurement of colour value of textiles
Colour Matching of textiles is very much dependant on the Pigment /dye Database created –dye class based and type of fibre/fabric based and dye company based to be pre-up-loaded in spectro. To match full strength of colour, Light and dark i.e. white and black reduction are very important.
Pigments /dyes should be thoroughly dispersed and uniformly dyed, which is Very difficult with powder pigments, but much easier with Master batch mass pigmentation to produce coloured textiles.
There are so many variations in measuring surface colour of textiles. A measurement is never perfect. The effect of variability of colour measurement is reduced by using multiple measurements and taking avrages at 10 points atlesat. How many measurements should I make for averaging is a good question and Rule of thumb is 10 times atleast for each variability parameter of dyeing for standardising dyeing process variables. For any variable instrumental factors also, measure each spot of colour value for 10 times to take average of it. But for sample uniformity for data base storing data, one should repeat colour measurements at several locations — more than 10 to 100, depending CV % of K/S values or reflectance values of coloured textile surface. One can follow ASTM standard E 1345- 90 to determine how many measurements are necessary in each case.
Some more Practical Aspects of variability in colour mesurement of textile surface [9] are:
Level / Un level dyeing (Usually Less than 5% CV of K/S Value is taken as level dyeing for textiles).
Back ground opaqueness of the sample (No. of Folds are to be kept Constant say usually 4 fold).
Variation in warp wise or weft wise sample’s vertical/horizantal orientation may differ K/S value)
Variation in texture or surface roughness may vary K/S values for change in scattering (Any chemical/ physical intervention/Treatment before dyeing may change surface texture)
Variation of colour and texture in two sides of the fabric sample (K/S -surface colour strength in one face of fabric may sometimes differ from other face due to the said effect).
Any Fabric or Dyeing Defects/Stains in the fabric sample (Any defect of the fabric may cause colour variation).
Dull shade / Fluorescent colour & bright shade etc. some times behave differently.
Blended fabric may pose problem with change of Blend % of each component of fibres.
The reasons of variation of colours produced in textiles during data base preparations - are
Improper weighing and mixing of colourants.
Improper Cleanliness of dyeing machinery parts, like steam pipes and dye bath
In-compatable colour mixing and variation of dyeing time and other process variables
Interference from regrind/ slubilization of dyes having some chnaces of contamination.
Shedding of fibres / Degradation of fibres or chemicals used during processing.
Machine stoppages and inadequate steam purging in dye bath having in adequate temperature
Improper selection of Colourant/ Master-batch.
Interference with processing additives - chrome pigments containing lead will discolour if Tin stabilisers are present.
Moreover, different other cares are necessary, without which in-accurate measurement occur for measuring of colour values of textiles --e. g.
Accent on cleanliness: Poor housekeeping results colour contamination and stain,
Selecting correct Colourant and clear understanding of colour type and properties to specific textile fibre / polymer involved. Master-batch of colour supplier plays crucial role in this case.
Use of pre-coloured standard materials and best checking by replicating same colour on a same or different textiles. Cost of instrument is usually more
Inventory and logistics issues are there also for variation of colour and its measurement.
Use of Pigment colouring for small quantities where Master-batch development is easier.
3.5 Areas of application of computer colour measuring and matching system
Measurement of tristimulus values, reflectant at maximum absorbance wave length or K/S measurement of transmitants.
Calculation of colour difference by CIELAB equation of total colour difference i.e. ∆E* = [(∆L*) 2 + (∆a*) 2 + (∆b*) 2]½ with plot of CIE colour difference space diagram. The shade sorting i.e. pass/fail mechanism of quality control of dyed shades from batch to batch or lot to lot represents colour difference values in terms of Darkness and lightness (∆L*) Redness & Greenness (∆a and Yellowness and Blueness (∆b*).
Finger Tips solution of predicting newer computer aided d colour matching recipe /formulation with lowset cost & lowest metameric match recipe using pre- set stored speicific dyestuff data base.
Batch correction or auto correction of shades by manual or computerised corrections.
Extension of match Prediction by batch corrections and utilisation of dyeing waste liquor.
Purity/ Quality test of incoming newer batch of dyes with the help of this computer aided colour measuring system.
Determination of whiteness, yellowness and brightness indices of bleached textile substrate using different standard scales like CIE scale, Hunter Lab scale, ASTM-E-313 scale, Stansby scale etc.
Prediction of efficiency of OBA (optical brightening agents) utilising this system by change of with or without UV light setting.
More accurate and Quantitative understanding and grading of colour fastness grade for colour fading behaviour to wsah, crocking/rubbing. Exposure to UV light etc. replacing conventional grey scale rating.
4. Surface appearence measurement in terms of whiteness, yellowness and brightness indices
Whiteness is assesment of freedom from any colour and contamination/stain /soil and as such it is taken as an indicator of quality for a bleached textile fabric prepared for dyeing. Objective measurement and meaningful numerical expression whiteness index as per CIE and Hunter lab scale are widely used. It represents whiteness index (WI) in terms of colorimetric values for the specimen and the chromaticity coordinates of the illuminant:
WICIEscale=Y+800xn−x=1700yn−yE23
WIHunterLab‐Scale=L∗−3b∗=10Y−21Y−Z%/YE24
where x, y and Y are the colorimetric values for the sample under illuminant D65, and xn and yn are the chromaticity coordinates of the light source/illuminant used. A value for WI of 100 represents a perfect reflecting white diffuser, equivalent to surface of saturated paste of Magnesium sulphate.
X, Y and Z are the CIE tri-stimulus values of the sample and L* is the lightness/darkness indicator, b* is the blueness/yellowness indicator.
Similrly, yellowness indices [12] as per ASTM-E313/1973 can be expressed as follows:
Where, X, Y and Z are the CIE tri-stimulus values of the sample, L* is the lightness/darkness indicator, b* is the blueness/yellowness indicator and B = Z/1.181 = 0.847 Z, G = Y = L2/100.
Brightness Index (BI) as per ISO-2469/2470-1977method [13] can be calculated by following formula:
Brightness index=Reflectance Value of the Sampleat457nmReflectance value of Standard white diffuserwhite tilesat457nm×100E26
Treatment with fluorescent brightening agents can lead to reflectance values of up to 150. Although the pattern appears to become whiter, the change in appearance is due to a change in chroma towards blue, and this fact is expressed in quantitative form as the ‘tint factor’. Allied to the appearance of the uncoloured fabric is the yellowness, which suggests yellowing by chemical treatment or by heat scorching or degradation by light or by gases. Thus along with colour parameter the said other surface appearance properties are also very very important too in defining the quality of the surface appearance of any textiles.
5. Importance of colour measurements and matching in garment industry
Colour is one of the important element of a design. Colour with aesthetics /texture of anty textile fabrics / garments are as important as its physical and functional property criteria. Matching of colours, especially in specific textiles made from specific or different fibres and their blends is very very crucial in many applications. The task of communicating and measuring and matching of colour becomes more difficult when colours need to be exactly matched with a given standard supplied for different textiles. More and more precision colour matching is required in specialised textile products like defence dress materials, school uniform etc. and also for matching suits for consumer textiles and livestyle products for matched furnishings, bed linen and auto Interiors etc.
This Computer aided reflactance spectrophotometer is an impoartant tools/intrument for quality up grdation of textiles and garments by maesuring surface colour strength and colour dierences values as per CIE equations/ formulae. Some Other Application of computer aided colour measuring cum matching System used in textiles or apparel industry’s Dye House:
For quality control of dyed textiles including pass/fail decision of batch to batch checking.
For Evaluation of Quality of dyes supplied.
Effect of dyeing additives by measuring colour yield.
Efficiency of optical brighteners by UV analysis.
Soil removal efficiency of surfactants by measuring Reflectance value.
Measurement of whiteness / yellowness / brightness index etc. of undyed and bleached samples besides dyed samples.
6. Concluding remarks
Computer Aided Colour Measuring and Match Prediction System (CACMPS), now a days, become an essential tools for each textile dye houses to match colours or shade as per panton shade nos. or as per given samples, to reduce export rejection for colours. Moreover, to judge colour fastness grading more accurately from measurement of colour difference values after corresponding fading by wash or light or rubbing etc., than subjective/comparative judging by grey scale rating purpose is more scientific and advantegios. Quality control activity and batch to batch pass /fail checking of shades developed from shift to shift needs to be implemented in all dye houses for quality assurance on colour matching which is an integral demand of today’s apparel and fashion industry. Hence learning of colorimetric principles of UV VIS reflectance spectrophotometer and proper utilisation of this instrument carefully for deriving all round benefits out of it, for surface colour measuring and matching of textiles for customer satisfaction is also helps in brand building by quality assurance on colour matching of textiles.
Acknowledgments
The author is thankful to the Principal RBGC, Kolkata for her encouragement and support.
\n',keywords:"surface colour strength, Tristimulus values, Total colour differences, colour difference index, Metamerism, whiteness-yellowness and brightness indices. Computer aided colour matching",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/80062.pdf",chapterXML:"https://mts.intechopen.com/source/xml/80062.xml",downloadPdfUrl:"/chapter/pdf-download/80062",previewPdfUrl:"/chapter/pdf-preview/80062",totalDownloads:140,totalViews:0,totalCrossrefCites:0,dateSubmitted:"October 3rd 2021",dateReviewed:"October 29th 2021",datePrePublished:"January 16th 2022",datePublished:null,dateFinished:"January 16th 2022",readingETA:"0",abstract:"This book chapter covers basic principles of quantitative measurement and analysis of surface colour parameters and surface appearance of undyed/dyed textile materials and finally matching of colours with standard samples of any textiles. Surface colour parameters of textile materials change with different chemical processing including bleaching, dyeing and finishing and need to measure it quantitatively for understanding the effect of different chemical processes/dyes and auxiliaries and finishes. So, CIE-1976 equations for measurement of Tristimulus values, surface colour strength, colour differences, Metamerism index, colour difference index as well as specific formulae for measuring Whiteness Index, Yellowness Index, Brightness Index and the theory of colour match prediction are discussed here. One Case study of colour match prediction for a specific case is also shown. Finally, the importance of single constant measurement of surface color parameters for coloured textiles and practical cares for database preparation and colour measurement and match prediction for textile and apparel products are deliberated. Apparel industry is very much dependent on colour psychology and colour preferences of customers in different seasons and occasions and hence, it is important to measure all surface colour parameters of textile materials to choose perfectly matched coloured textiles for making any garment.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/80062",risUrl:"/chapter/ris/80062",signatures:"Pubalina Samanta",book:{id:"11002",type:"book",title:"Colorimetry",subtitle:null,fullTitle:"Colorimetry",slug:null,publishedDate:null,bookSignature:"Prof. Ashis Kumar Samanta",coverURL:"https://cdn.intechopen.com/books/images_new/11002.jpg",licenceType:"CC BY 3.0",editedByType:null,isbn:"978-1-83962-941-9",printIsbn:"978-1-83962-940-2",pdfIsbn:"978-1-83962-942-6",isAvailableForWebshopOrdering:!0,editors:[{id:"42763",title:"Prof.",name:"Ashis Kumar",middleName:null,surname:"Samanta",slug:"ashis-kumar-samanta",fullName:"Ashis Kumar Samanta"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:[{id:"302580",title:"Ms.",name:"Pubalina",middleName:null,surname:"Samanta",fullName:"Pubalina Samanta",slug:"pubalina-samanta",email:"pubalina@gmail.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Colour theory",level:"1"},{id:"sec_2_2",title:"2.1 CIE definition 845-02-18 of perceived colour",level:"2"},{id:"sec_3_2",title:"2.2 CIE 1931 standard theory of colour",level:"2"},{id:"sec_4_2",title:"2.3 Principles of colour matching of dyed textiles",level:"2"},{id:"sec_4_3",title:"2.3.1 Batch Correction in subsequent iteration to improve match precision",level:"3"},{id:"sec_6_2",title:"2.4 Colour measuring instruments",level:"2"},{id:"sec_7_2",title:"2.5 Reflectance spectrophotometer",level:"2"},{id:"sec_8_2",title:"2.6 Diagram of Relecatance spectrophotometer and its working principles",level:"2"},{id:"sec_8_3",title:"2.6.1 Calibration and certification of the instrument ‘s accuracy",level:"3"},{id:"sec_9_3",title:"2.6.2 Measurement of overall colour difference index",level:"3"},{id:"sec_10_3",title:"2.6.3 Use of Standrad Illuminats in reflectance spectrophotometer",level:"3"},{id:"sec_12_2",title:"2.7 Computer aided colour match prediction system",level:"2"},{id:"sec_14",title:"3. Some practical consideration during measurement on CCMP system",level:"1"},{id:"sec_14_2",title:"3.1 Colour matching tolerance set-up and pass/fail system",level:"2"},{id:"sec_15_2",title:"3.2 Calibration dyeing for preparation of data base",level:"2"},{id:"sec_16_2",title:"3.3 Checking of linearity / non-linearity for plots of K/S vs. dye conetrations in dyestaff data base",level:"2"},{id:"sec_17_2",title:"3.4 Effect of variability in measurement of colour value of textiles",level:"2"},{id:"sec_18_2",title:"3.5 Areas of application of computer colour measuring and matching system",level:"2"},{id:"sec_20",title:"4. Surface appearence measurement in terms of whiteness, yellowness and brightness indices",level:"1"},{id:"sec_21",title:"5. Importance of colour measurements and matching in garment industry",level:"1"},{id:"sec_22",title:"6. Concluding remarks",level:"1"},{id:"sec_23",title:"Acknowledgments",level:"1"}],chapterReferences:[{id:"B1",body:'Shah HS, Gandhi RS. Instrumental Colour Measurements & ComputerAided Colour Matching for Textiles. Amhedabad, India: Mahajan Book Distributers; 1990. pp. 76–116'},{id:"B2",body:'Gangakhedkar NS. Part II : Colour measurement and its applications. In: Gularajani ML, editor. Colour Measurement: Principles, Advances and Industrial Applications. Manchester, UK: Woodhead Publishing, India and Textile Institute, Series in Textiles; 2010. pp. 219–252'},{id:"B3",body:'McLaren K. The Colour Science of Dyes and Pigments. 2nd ed. Bristol: Adam Hilger; 1986. pp. 50–87'},{id:"B4",body:'Pubalina S. Fundementals and applications of of Computer aided Colour Match Prediction (CCMP) System. Latest Trends in Textile and Fashion Design Journal. 2018;2(5):1-10'},{id:"B5",body:'Ingamells W. Colour for Textiles-A user’s handbook. Bradford, UK: Society of Dyers and Colourists; 1993. pp. 138–157'},{id:"B6",body:'Samanta AK. On-line colour control (for textile dyeing). Indian Textile Journal. 1992;105:70'},{id:"B7",body:'Samanta AK. Review on Colour Control and Matching. Indian Textile Journal. 1995;108:50'},{id:"B8",body:'Samanta AK. A review and case study of computer application in jute or textile mills’ dye house and computerized colour matching. Textile Trend. 1993;36:37'},{id:"B9",body:'Samanta AK, Das D. Studies on Quantitative colour measurement of direct dyed Jute Fabric in relation to computerized colour matching. Journal of Institution of Engineers-Textile Engineering. 1992;73:53'},{id:"B10",body:'Samanta AK, Agarwal P, Singhee D, Dutta S. Application of single and mixtures of red sandalwood and other natural dyes for dyeing of jute fabric: Studies on colour parameters / colour fastness and compatibility. Journal of the Textile Institute. 2009;100(7):565-587'},{id:"B11",body:'Randall D, Stutts T. Optimizing calibration dyeings for computer color matching. American Dyestuff Reporter. 1988;28:44-46'},{id:"B12",body:'ASTM-E-313-67/E-313-73 (Re-approved-1979). Determination of yellowness. In: Annual Book of ASTM Standards E 12.02. Philadelphia, Pennsylvania, PA: American Society for Testing Materials; 1974. p. 1'},{id:"B13",body:'ISO-2470-1977 (E) and ISO-2469. Determination of Brightness. Switzerland: International Organization for Standardization (ISO); 1977. pp. 1–3'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Pubalina Samanta",address:"pubalina@gmail.com",affiliation:'
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The Open Access Publishing Fee (OAPF) is payable only after your book chapter, monograph or journal article is accepted for publication.
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During the launching phase journals do not charge an APC, rather they will be funded by IntechOpen.
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Services included are:
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An online manuscript tracking system to facilitate your work
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English language copyediting and proofreading, including the correction of grammatical, spelling, and other common errors
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XML Typesetting and pagination - web (PDF, HTML) and print files preparation
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Discoverability - electronic citation and linking via DOI
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Permanent and unrestricted online access to your work
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What isn't covered by the Open Access Publishing Fee?
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If your manuscript:
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If a manuscript requires Heavy Editing or Language Polishing, this will incur additional fees.
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Your Author Service Manager will inform you of any items not covered by the OAPF and provide exact information regarding those additional costs before proceeding.
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Open Access Funding
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To explore funding opportunities and learn more about how you can finance your IntechOpen publication, go to our Open Access Funding page. IntechOpen offers expert assistance to all of its Authors. We can support you in approaching funding bodies and institutions in relation to publishing fees by providing information about compliance with the Open Access policies of your funder or institution. We can also assist with communicating the benefits of Open Access in order to support and strengthen your funding request and provide personal guidance through your application process. You can contact us at funders@intechopen.com for further details or assistance.
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For Authors who are still unable to obtain funding from their institutions or research funding bodies for individual projects, IntechOpen does offer the possibility of applying for a Waiver to offset some or all processing feed. Details regarding our Waiver Policy can be found here.
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Added Value of Publishing with IntechOpen
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Choosing to publish with IntechOpen ensures the following benefits:
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Indexing and listing across major repositories, see details ...
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Long-term archiving
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Visibility on the world's strongest OA platform
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Live Performance Metrics to track readership and the impact of your chapter
\n\t
Dissemination and Promotion
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Benefits of Publishing with IntechOpen
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Proven world leader in Open Access book publishing with over 10 years experience
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+5,700 OA books published
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Most competitive prices in the market
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Fully compliant with OA funding requirements
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Optimized processes that assure your research is made available to the scientific community without delay
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+184,650 citations in Web of Science databases
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Currently strongest OA platform with over 175 million downloads
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The digitization of the urban environment, its building and infrastructural heritage and its services is at the center of the concept of smart city, and this appears strongly linked to the use of BIM on an increasingly extended scale as an enabling tool for planning cities that are increasingly intelligent, sustainable, interconnected and above all liveable. In this chapter a creation process for the digitalization of existing roads, as well-known as reverse engineering method, will be shown as follows: a) modeling 3D digital terrain model; b) creating the horizontal alignment, vertical profiles and editing cross-sections; c) modeling the 3D corridor. As a response to long-term development between BIM and road engineering, this chapter will contribute also by offering innovative and practical solutions for integration of road design and pavement analysis, for a better management and optimization of road pavement maintenance.",book:{id:"9872",slug:"models-and-technologies-for-smart-sustainable-and-safe-transportation-systems",title:"Models and Technologies for Smart, Sustainable and Safe Transportation Systems",fullTitle:"Models and Technologies for Smart, Sustainable and Safe Transportation Systems"},signatures:"Salvatore Antonio Biancardo, Nunzio Viscione, Cristina Oreto and Francesca Russo",authors:[{id:"300972",title:"Dr.",name:"Salvatore Antonio",middleName:null,surname:"Biancardo",slug:"salvatore-antonio-biancardo",fullName:"Salvatore Antonio Biancardo"},{id:"321425",title:"Prof.",name:"Francesca",middleName:null,surname:"Russo",slug:"francesca-russo",fullName:"Francesca Russo"},{id:"327976",title:"Mr.",name:"Nunzio",middleName:null,surname:"Viscione",slug:"nunzio-viscione",fullName:"Nunzio Viscione"},{id:"327977",title:"Ms.",name:"Cristina",middleName:null,surname:"Oreto",slug:"cristina-oreto",fullName:"Cristina Oreto"}]},{id:"64211",doi:"10.5772/intechopen.81159",title:"Contemporary Inspection and Monitoring for High-Speed Rail System",slug:"contemporary-inspection-and-monitoring-for-high-speed-rail-system",totalDownloads:1506,totalCrossrefCites:1,totalDimensionsCites:3,abstract:"Non-destructive testing (NDT) techniques have been explored and extensively utilised to help maintaining safety operation and improving ride comfort of the rail system. As an ascension of NDT techniques, the structural health monitoring (SHM) brings a new era of real-time condition assessment of rail system without interrupting train service, which is significantly meaningful to high-speed rail (HSR). This chapter first gives a review of NDT techniques of wheels and rails, followed by the recent applications of SHM on HSR enabled by a combination of advanced sensing technologies using optical fibre, piezoelectric and other smart sensors for on-board and online monitoring of the railway system from vehicles to rail infrastructure. An introduction of research frontier and development direction of SHM on HSR is provided subsequently concerning both sensing accuracy and efficiency, through cutting-edge data-driven analytic studies embracing such as wireless sensing and compressive sensing, which answer for the big data’s call brought by the new age of this transport.",book:{id:"7524",slug:"high-speed-rail",title:"High-Speed Rail",fullTitle:"High-Speed Rail"},signatures:"Lu Zhou, Xiao-Zhou Liu and Yi-Qing Ni",authors:[{id:"253578",title:"Dr.",name:"Lu",middleName:null,surname:"Zhou",slug:"lu-zhou",fullName:"Lu Zhou"},{id:"254448",title:"Prof.",name:"Yi-Qing",middleName:null,surname:"Ni",slug:"yi-qing-ni",fullName:"Yi-Qing Ni"},{id:"270970",title:"Dr.",name:"Xiao-Zhou",middleName:null,surname:"Liu",slug:"xiao-zhou-liu",fullName:"Xiao-Zhou Liu"}]},{id:"73356",doi:"10.5772/intechopen.93892",title:"Optimal Management of Electrified and Cooperative Bus Systems",slug:"optimal-management-of-electrified-and-cooperative-bus-systems",totalDownloads:353,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"This chapter presents an integrated management approach exploiting the potentials of the new Cooperative Intelligent Transportation Systems (C-ITS) to meet the requirements of the next generation Public Transport (PT). This approach considers the additional complexity of electrification—for instance electric busses need to periodically recharge during operation using dedicated infrastructure. This not only can impact service level, but also extend operating costs with complex electric charges. We develop new strategies explicitly optimizing the interactions within the PT ecosystem consisting of vehicles, traffic signals, and e-bus charging infrastructure. To achieve these goals, we rely on vehicle control rather than on the use of transit signal priority, which in congested urban scenarios can have negative effects on overall traffic performance. The main research challenges are in formulating and solving complex multi-objective optimization problems and real-time control. 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It is supported with Adaptive Cruise Control, Automatic Emergency Brake, blind spot monitoring, lane change assistance, and forward collision warnings etc. It is an important platform to integrate these multiple applications by using data from multifunction sensors, cameras, radars, lidars etc. and send command to plural actuators, engine, brake, steering etc. ADAS technology can detect some objects, do basic classification, alert the driver of hazardous road conditions, and in some cases, slow or stop the vehicle. The architecture of the electronic control units (ECUs) is responsible for executing advanced driver assistance systems (ADAS) in vehicle which is changing as per its response during the process of driving. Automotive system architecture integrates multiple applications into ADAS ECUs that serve multiple sensors for their functions. Hardware architecture of ADAS and autonomous driving, includes automotive Ethernet, TSN, Ethernet switch and gateway, and domain controller while Software architecture of ADAS and autonomous driving, including AUTOSAR Classic and Adaptive, ROS 2.0 and QNX. This chapter explains the functioning of Assistance Driving Technology with the help of its architecture and various types of sensors.",book:{id:"9872",slug:"models-and-technologies-for-smart-sustainable-and-safe-transportation-systems",title:"Models and Technologies for Smart, Sustainable and Safe Transportation Systems",fullTitle:"Models and Technologies for Smart, Sustainable and Safe Transportation Systems"},signatures:"Pradip Kumar Sarkar",authors:[{id:"321704",title:"Dr.",name:"Pradip Kumar",middleName:null,surname:"Sarkar",slug:"pradip-kumar-sarkar",fullName:"Pradip Kumar Sarkar"}]},{id:"63242",doi:"10.5772/intechopen.80302",title:"Main Ways to Improve Cutting Tools for Machine Wheel Tread Profile",slug:"main-ways-to-improve-cutting-tools-for-machine-wheel-tread-profile",totalDownloads:975,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"This chapter considers the methods to increase the performance and reliability of the reprofile machining of the wheel tread profile. Proceeding from the fact that both in milling and turning, the cutting tool is a key element to ensure performance and reliability of the manufacturing process, the study considers the methods to increase the performance properties of cutting tools. In particular, the study includes the investigation of the following ways to improve cutting tools (carbide inserts) to machine wheel tread profile: replacement of traditional grades of WC-TiC-Co carbides with more efficient ones based on WC-TiC-TaC-Co; application of special thermally conductive pads, gaskets, and pastes to improve the distribution of heat flows in the cutting zone; and application of modern nanoscale composite multilayer coatings (NMCC). It is noted that even higher performance can be obtained by combining the above three methods, in particular, by combining application of special thermal pads and NMCC.",book:{id:"7524",slug:"high-speed-rail",title:"High-Speed Rail",fullTitle:"High-Speed Rail"},signatures:"Alexey Vereschaka, Popov Alexey, Grigoriev Sergey, Kulikov Mikhail and Sotova Catherine",authors:[{id:"196459",title:"Dr.",name:"Alexey",middleName:null,surname:"Vereschaka",slug:"alexey-vereschaka",fullName:"Alexey Vereschaka"},{id:"264332",title:"Dr.",name:"Alexey",middleName:null,surname:"Popov",slug:"alexey-popov",fullName:"Alexey Popov"},{id:"264333",title:"Prof.",name:"Sergey",middleName:null,surname:"Grigoriev",slug:"sergey-grigoriev",fullName:"Sergey Grigoriev"},{id:"264334",title:"Prof.",name:"Mikhail",middleName:null,surname:"Kulikov",slug:"mikhail-kulikov",fullName:"Mikhail Kulikov"},{id:"264336",title:"Dr.",name:"Catherine",middleName:null,surname:"Sotova",slug:"catherine-sotova",fullName:"Catherine Sotova"}]}],mostDownloadedChaptersLast30Days:[{id:"73624",title:"BIM Approach for Smart Infrastructure Design and Maintenance Operations",slug:"bim-approach-for-smart-infrastructure-design-and-maintenance-operations",totalDownloads:553,totalCrossrefCites:4,totalDimensionsCites:6,abstract:"In the age of the Internet-of-Things and Big Data, Building Information Modeling (BIM) is being expanded into sectors for which it was not originally designed, such as the infrastructure sector, and becomes a necessity for the planning and management of smart cities. The digitization of the urban environment, its building and infrastructural heritage and its services is at the center of the concept of smart city, and this appears strongly linked to the use of BIM on an increasingly extended scale as an enabling tool for planning cities that are increasingly intelligent, sustainable, interconnected and above all liveable. In this chapter a creation process for the digitalization of existing roads, as well-known as reverse engineering method, will be shown as follows: a) modeling 3D digital terrain model; b) creating the horizontal alignment, vertical profiles and editing cross-sections; c) modeling the 3D corridor. As a response to long-term development between BIM and road engineering, this chapter will contribute also by offering innovative and practical solutions for integration of road design and pavement analysis, for a better management and optimization of road pavement maintenance.",book:{id:"9872",slug:"models-and-technologies-for-smart-sustainable-and-safe-transportation-systems",title:"Models and Technologies for Smart, Sustainable and Safe Transportation Systems",fullTitle:"Models and Technologies for Smart, Sustainable and Safe Transportation Systems"},signatures:"Salvatore Antonio Biancardo, Nunzio Viscione, Cristina Oreto and Francesca Russo",authors:[{id:"300972",title:"Dr.",name:"Salvatore Antonio",middleName:null,surname:"Biancardo",slug:"salvatore-antonio-biancardo",fullName:"Salvatore Antonio Biancardo"},{id:"321425",title:"Prof.",name:"Francesca",middleName:null,surname:"Russo",slug:"francesca-russo",fullName:"Francesca Russo"},{id:"327976",title:"Mr.",name:"Nunzio",middleName:null,surname:"Viscione",slug:"nunzio-viscione",fullName:"Nunzio Viscione"},{id:"327977",title:"Ms.",name:"Cristina",middleName:null,surname:"Oreto",slug:"cristina-oreto",fullName:"Cristina Oreto"}]},{id:"73821",title:"Driver Assistance Technologies",slug:"driver-assistance-technologies",totalDownloads:600,totalCrossrefCites:0,totalDimensionsCites:1,abstract:"Topic: Driver Assistance Technology is emerging as new driving technology popularly known as ADAS. It is supported with Adaptive Cruise Control, Automatic Emergency Brake, blind spot monitoring, lane change assistance, and forward collision warnings etc. It is an important platform to integrate these multiple applications by using data from multifunction sensors, cameras, radars, lidars etc. and send command to plural actuators, engine, brake, steering etc. ADAS technology can detect some objects, do basic classification, alert the driver of hazardous road conditions, and in some cases, slow or stop the vehicle. The architecture of the electronic control units (ECUs) is responsible for executing advanced driver assistance systems (ADAS) in vehicle which is changing as per its response during the process of driving. Automotive system architecture integrates multiple applications into ADAS ECUs that serve multiple sensors for their functions. Hardware architecture of ADAS and autonomous driving, includes automotive Ethernet, TSN, Ethernet switch and gateway, and domain controller while Software architecture of ADAS and autonomous driving, including AUTOSAR Classic and Adaptive, ROS 2.0 and QNX. This chapter explains the functioning of Assistance Driving Technology with the help of its architecture and various types of sensors.",book:{id:"9872",slug:"models-and-technologies-for-smart-sustainable-and-safe-transportation-systems",title:"Models and Technologies for Smart, Sustainable and Safe Transportation Systems",fullTitle:"Models and Technologies for Smart, Sustainable and Safe Transportation Systems"},signatures:"Pradip Kumar Sarkar",authors:[{id:"321704",title:"Dr.",name:"Pradip Kumar",middleName:null,surname:"Sarkar",slug:"pradip-kumar-sarkar",fullName:"Pradip Kumar Sarkar"}]},{id:"63054",title:"Optimization of Components of Superstructure of High-Speed Rail: The Spanish Experience",slug:"optimization-of-components-of-superstructure-of-high-speed-rail-the-spanish-experience",totalDownloads:917,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"The performance of rail transport has increased significantly in recent decades, in particular due to the gradual introduction of high-speed rails worldwide. In 1981, the first high-speed line of the world was inaugurated; nowadays, high-speed is operating in more than 20 countries, the high-speed network covering more than 35,000 kms (with more than 25,000 additional kms under construction). Spain is the second country by total distance of railways installed (only behind China) and the first in terms relative to the population and surface. Since the installation of the first high-speed line in Spain in 1992, the elements of the superstructure have undergone a continuous evolution, in order to improve the performance, the durability of the components and the comfort of the passengers. This evolution rests on an adequate selection of materials based on the characterization of their physical and mechanical properties to ensure the optimum in-service conditions. This chapter includes an overview of the different elements present in the railway superstructure of the high-speed lines in Spain. Throughout the text, the innovations incorporated over time are analyzed, as well as the methods used to validate them. In particular, a description of the mechanical characterization procedures is presented.",book:{id:"7524",slug:"high-speed-rail",title:"High-Speed Rail",fullTitle:"High-Speed Rail"},signatures:"Estela Ruiz, Isidro A. Carrascal, Diego Ferreño, José A. Casado and Soraya Diego",authors:[{id:"38018",title:"Prof.",name:"Diego",middleName:null,surname:"Ferreño",slug:"diego-ferreno",fullName:"Diego Ferreño"},{id:"264427",title:"Dr.",name:"Isidro A.",middleName:null,surname:"Carrascal",slug:"isidro-a.-carrascal",fullName:"Isidro A. Carrascal"},{id:"264428",title:"Prof.",name:"José A.",middleName:null,surname:"Casado",slug:"jose-a.-casado",fullName:"José A. Casado"},{id:"264429",title:"Dr.",name:"Soraya",middleName:null,surname:"Diego",slug:"soraya-diego",fullName:"Soraya Diego"},{id:"268961",title:"Dr.",name:"Estela",middleName:null,surname:"Ruiz",slug:"estela-ruiz",fullName:"Estela Ruiz"}]},{id:"63242",title:"Main Ways to Improve Cutting Tools for Machine Wheel Tread Profile",slug:"main-ways-to-improve-cutting-tools-for-machine-wheel-tread-profile",totalDownloads:975,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"This chapter considers the methods to increase the performance and reliability of the reprofile machining of the wheel tread profile. Proceeding from the fact that both in milling and turning, the cutting tool is a key element to ensure performance and reliability of the manufacturing process, the study considers the methods to increase the performance properties of cutting tools. In particular, the study includes the investigation of the following ways to improve cutting tools (carbide inserts) to machine wheel tread profile: replacement of traditional grades of WC-TiC-Co carbides with more efficient ones based on WC-TiC-TaC-Co; application of special thermally conductive pads, gaskets, and pastes to improve the distribution of heat flows in the cutting zone; and application of modern nanoscale composite multilayer coatings (NMCC). It is noted that even higher performance can be obtained by combining the above three methods, in particular, by combining application of special thermal pads and NMCC.",book:{id:"7524",slug:"high-speed-rail",title:"High-Speed Rail",fullTitle:"High-Speed Rail"},signatures:"Alexey Vereschaka, Popov Alexey, Grigoriev Sergey, Kulikov Mikhail and Sotova Catherine",authors:[{id:"196459",title:"Dr.",name:"Alexey",middleName:null,surname:"Vereschaka",slug:"alexey-vereschaka",fullName:"Alexey Vereschaka"},{id:"264332",title:"Dr.",name:"Alexey",middleName:null,surname:"Popov",slug:"alexey-popov",fullName:"Alexey Popov"},{id:"264333",title:"Prof.",name:"Sergey",middleName:null,surname:"Grigoriev",slug:"sergey-grigoriev",fullName:"Sergey Grigoriev"},{id:"264334",title:"Prof.",name:"Mikhail",middleName:null,surname:"Kulikov",slug:"mikhail-kulikov",fullName:"Mikhail Kulikov"},{id:"264336",title:"Dr.",name:"Catherine",middleName:null,surname:"Sotova",slug:"catherine-sotova",fullName:"Catherine Sotova"}]},{id:"74333",title:"Transit Signal Priority in Smart Cities",slug:"transit-signal-priority-in-smart-cities",totalDownloads:447,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Giving priority to public transport vehicles at traffic signals is one of the traffic management strategies deployed at emerging smart cities to increase the quality of service for public transit users. It is a key to breaking the vicious cycle of congestion that threatens to bring cities into gridlock. In that cycle, increasing private traffic makes public transport become slower, less reliable, and less attractive. This results in deteriorated transit speed and reliability and induces more people to leave public transit in favor of the private cars, which create more traffic congestion, generate emissions, and increase energy consumption. Prioritizing public transit would break the vicious cycle and make it a more attractive mode as traffic demand and urban networks grow. A traditional way of protecting public transit from congestion is to move it either underground or above ground, as in the form of a metro/subway or air rail or create a dedicated lane as in the form of bus lane or light rail transit (LRT). However, due to the enormous capital expense involved or the lack of right-of-way, these solutions are often limited to few travel corridors or where money is not an issue. An alternative to prioritizing space to transit is to prioritize transit through time in the form of Transit Signal Priority (TSP). Noteworthy, transit and specifically bus schedules are known to be unstable and can be thrown off their schedule with even small changes in traffic or dwell time. At the same time, transit service reliability is an important factor for passengers and transit agencies. Less variability in transit travel time will need less slack or layover time. Thus, transit schedulers are interested in reducing transit travel time and its variability. One way to reach this goal is through an active intervention like TSP. In this chapter a comprehensive review of transit signal priority models is presented. The studies are classified into different categories which are: signal priority and different control systems, passive versus active priority, predictive transit signal priority, priority with connected vehicles, multi-modal signal priority models, and other practical considerations.",book:{id:"9872",slug:"models-and-technologies-for-smart-sustainable-and-safe-transportation-systems",title:"Models and Technologies for Smart, Sustainable and Safe Transportation Systems",fullTitle:"Models and Technologies for Smart, Sustainable and Safe Transportation Systems"},signatures:"Bahman Moghimi and Camille Kamga",authors:[{id:"321370",title:"Dr.",name:"Bahman",middleName:null,surname:"Moghimi",slug:"bahman-moghimi",fullName:"Bahman Moghimi"},{id:"340958",title:"Prof.",name:"Camille",middleName:null,surname:"Kamga",slug:"camille-kamga",fullName:"Camille Kamga"}]}],onlineFirstChaptersFilter:{topicId:"713",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:0,limit:8,total:null},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:89,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:32,numberOfPublishedChapters:318,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:106,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:5,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:15,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. This Series is intended for researchers and students alike interested in this fascinating field and its many applications.",coverUrl:"https://cdn.intechopen.com/series/covers/14.jpg",latestPublicationDate:"June 11th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:9,editor:{id:"218714",title:"Prof.",name:"Andries",middleName:null,surname:"Engelbrecht",slug:"andries-engelbrecht",fullName:"Andries Engelbrecht",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRNR8QAO/Profile_Picture_1622640468300",biography:"Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.",institutionString:null,institution:{name:"Stellenbosch University",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:6,paginationItems:[{id:"22",title:"Applied Intelligence",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",isOpenForSubmission:!0,editor:{id:"27170",title:"Prof.",name:"Carlos",middleName:"M.",surname:"Travieso-Gonzalez",slug:"carlos-travieso-gonzalez",fullName:"Carlos Travieso-Gonzalez",profilePictureURL:"https://mts.intechopen.com/storage/users/27170/images/system/27170.jpeg",biography:"Carlos M. Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. He is a Senior Member of the IEEE Computer, the IEEE Computational Intelligence, and the IEEE Systems, Man, and Cybernetics Societies, and the Association of Computing Machinery (ACM). Finally, his main research interests include data science, computational intelligence, and their applications.",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"26",title:"Machine Learning and Data Mining",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",isOpenForSubmission:!0,editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. 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Kasenga",hash:"91cde4582ead884cb0f355a19b67cd56",volumeInSeries:4,fullTitle:"Malaria",editors:[{id:"86725",title:"Dr.",name:"Fyson",middleName:"Hanania",surname:"Kasenga",slug:"fyson-kasenga",fullName:"Fyson Kasenga",profilePictureURL:"https://mts.intechopen.com/storage/users/86725/images/system/86725.jpg",institutionString:"Malawi Adventist University",institution:{name:"Malawi Adventist University",institutionURL:null,country:{name:"Malawi"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"7123",title:"Current Topics in Neglected Tropical Diseases",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7123.jpg",slug:"current-topics-in-neglected-tropical-diseases",publishedDate:"December 4th 2019",editedByType:"Edited by",bookSignature:"Alfonso J. Rodriguez-Morales",hash:"61c627da05b2ace83056d11357bdf361",volumeInSeries:3,fullTitle:"Current Topics in Neglected Tropical Diseases",editors:[{id:"131400",title:"Prof.",name:"Alfonso J.",middleName:null,surname:"Rodriguez-Morales",slug:"alfonso-j.-rodriguez-morales",fullName:"Alfonso J. Rodriguez-Morales",profilePictureURL:"https://mts.intechopen.com/storage/users/131400/images/system/131400.png",institutionString:"Institución Universitaria Visión de las Américas, Colombia",institution:null}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"7064",title:"Current Perspectives in Human Papillomavirus",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7064.jpg",slug:"current-perspectives-in-human-papillomavirus",publishedDate:"May 2nd 2019",editedByType:"Edited by",bookSignature:"Shailendra K. Saxena",hash:"d92a4085627bab25ddc7942fbf44cf05",volumeInSeries:2,fullTitle:"Current Perspectives in Human Papillomavirus",editors:[{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",institutionURL:null,country:{name:"India"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}]},subseriesFiltersForPublishedBooks:[{group:"subseries",caption:"Bacterial Infectious Diseases",value:3,count:2},{group:"subseries",caption:"Parasitic Infectious Diseases",value:5,count:4},{group:"subseries",caption:"Viral Infectious Diseases",value:6,count:7}],publicationYearFilters:[{group:"publicationYear",caption:"2022",value:2022,count:2},{group:"publicationYear",caption:"2021",value:2021,count:4},{group:"publicationYear",caption:"2020",value:2020,count:3},{group:"publicationYear",caption:"2019",value:2019,count:3},{group:"publicationYear",caption:"2018",value:2018,count:1}],authors:{paginationCount:301,paginationItems:[{id:"116250",title:"Dr.",name:"Nima",middleName:null,surname:"Rezaei",slug:"nima-rezaei",fullName:"Nima Rezaei",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/116250/images/system/116250.jpg",biography:"Professor Nima Rezaei obtained an MD from Tehran University of Medical Sciences, Iran. He also obtained an MSc in Molecular and Genetic Medicine, and a Ph.D. in Clinical Immunology and Human Genetics from the University of Sheffield, UK. He also completed a short-term fellowship in Pediatric Clinical Immunology and Bone Marrow Transplantation at Newcastle General Hospital, England. Dr. Rezaei is a Full Professor of Immunology and Vice Dean of International Affairs and Research, at the School of Medicine, Tehran University of Medical Sciences, and the co-founder and head of the Research Center for Immunodeficiencies. He is also the founding president of the Universal Scientific Education and Research Network (USERN). Dr. Rezaei has directed more than 100 research projects and has designed and participated in several international collaborative projects. He is an editor, editorial assistant, or editorial board member of more than forty international journals. He has edited more than 50 international books, presented more than 500 lectures/posters in congresses/meetings, and published more than 1,100 scientific papers in international journals.",institutionString:"Tehran University of Medical Sciences",institution:{name:"Tehran University of Medical Sciences",country:{name:"Iran"}}},{id:"180733",title:"Dr.",name:"Jean",middleName:null,surname:"Engohang-Ndong",slug:"jean-engohang-ndong",fullName:"Jean Engohang-Ndong",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/180733/images/system/180733.png",biography:"Dr. Jean Engohang-Ndong was born and raised in Gabon. After obtaining his Associate Degree of Science at the University of Science and Technology of Masuku, Gabon, he continued his education in France where he obtained his BS, MS, and Ph.D. in Medical Microbiology. He worked as a post-doctoral fellow at the Public Health Research Institute (PHRI), Newark, NJ for four years before accepting a three-year faculty position at Brigham Young University-Hawaii. Dr. Engohang-Ndong is a tenured faculty member with the academic rank of Full Professor at Kent State University, Ohio, where he teaches a wide range of biological science courses and pursues his research in medical and environmental microbiology. Recently, he expanded his research interest to epidemiology and biostatistics of chronic diseases in Gabon.",institutionString:"Kent State University",institution:{name:"Kent State University",country:{name:"United States of America"}}},{id:"188773",title:"Prof.",name:"Emmanuel",middleName:null,surname:"Drouet",slug:"emmanuel-drouet",fullName:"Emmanuel Drouet",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/188773/images/system/188773.png",biography:"Emmanuel Drouet, PharmD, is a Professor of Virology at the Faculty of Pharmacy, the University Grenoble-Alpes, France. As a head scientist at the Institute of Structural Biology in Grenoble, Dr. Drouet’s research investigates persisting viruses in humans (RNA and DNA viruses) and the balance with our host immune system. He focuses on these viruses’ effects on humans (both their impact on pathology and their symbiotic relationships in humans). He has an excellent track record in the herpesvirus field, and his group is engaged in clinical research in the field of Epstein-Barr virus diseases. He is the editor of the online Encyclopedia of Environment and he coordinates the Universal Health Coverage education program for the BioHealth Computing Schools of the European Institute of Science.",institutionString:null,institution:{name:"Grenoble Alpes University",country:{name:"France"}}},{id:"131400",title:"Prof.",name:"Alfonso J.",middleName:null,surname:"Rodriguez-Morales",slug:"alfonso-j.-rodriguez-morales",fullName:"Alfonso J. Rodriguez-Morales",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/131400/images/system/131400.png",biography:"Dr. Rodriguez-Morales is an expert in tropical and emerging diseases, particularly zoonotic and vector-borne diseases (especially arboviral diseases). He is the president of the Travel Medicine Committee of the Pan-American Infectious Diseases Association (API), as well as the president of the Colombian Association of Infectious Diseases (ACIN). He is a member of the Committee on Tropical Medicine, Zoonoses, and Travel Medicine of ACIN. He is a vice-president of the Latin American Society for Travel Medicine (SLAMVI) and a Member of the Council of the International Society for Infectious Diseases (ISID). Since 2014, he has been recognized as a Senior Researcher, at the Ministry of Science of Colombia. He is a professor at the Faculty of Medicine of the Fundacion Universitaria Autonoma de las Americas, in Pereira, Risaralda, Colombia. He is an External Professor, Master in Research on Tropical Medicine and International Health, Universitat de Barcelona, Spain. He is also a professor at the Master in Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima, Peru. In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. He is currently the Editor in Chief of the journal Travel Medicine and Infectious Diseases. His Scopus H index is 47 (Google Scholar H index, 68).",institutionString:"Institución Universitaria Visión de las Américas, Colombia",institution:null},{id:"332819",title:"Dr.",name:"Chukwudi Michael",middleName:"Michael",surname:"Egbuche",slug:"chukwudi-michael-egbuche",fullName:"Chukwudi Michael Egbuche",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/332819/images/14624_n.jpg",biography:"I an Dr. Chukwudi Michael Egbuche. I am a Senior Lecturer in the Department of Parasitology and Entomology, Nnamdi Azikiwe University, Awka.",institutionString:null,institution:{name:"Nnamdi Azikiwe University",country:{name:"Nigeria"}}},{id:"284232",title:"Mr.",name:"Nikunj",middleName:"U",surname:"Tandel",slug:"nikunj-tandel",fullName:"Nikunj Tandel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/284232/images/8275_n.jpg",biography:'Mr. Nikunj Tandel has completed his Master\'s degree in Biotechnology from VIT University, India in the year of 2012. He is having 8 years of research experience especially in the field of malaria epidemiology, immunology, and nanoparticle-based drug delivery system against the infectious diseases, autoimmune disorders and cancer. He has worked for the NIH funded-International Center of Excellence in Malaria Research project "Center for the study of complex malaria in India (CSCMi)" in collaboration with New York University. The preliminary objectives of the study are to understand and develop the evidence-based tools and interventions for the control and prevention of malaria in different sites of the INDIA. Alongside, with the help of next-generation genomics study, the team has studied the antimalarial drug resistance in India. Further, he has extended his research in the development of Humanized mice for the study of liver-stage malaria and identification of molecular marker(s) for the Artemisinin resistance. At present, his research focuses on understanding the role of B cells in the activation of CD8+ T cells in malaria. Received the CSIR-SRF (Senior Research Fellow) award-2018, FIMSA (Federation of Immunological Societies of Asia-Oceania) Travel Bursary award to attend the IUIS-IIS-FIMSA Immunology course-2019',institutionString:"Nirma University",institution:{name:"Nirma University",country:{name:"India"}}},{id:"334383",title:"Ph.D.",name:"Simone",middleName:"Ulrich",surname:"Ulrich Picoli",slug:"simone-ulrich-picoli",fullName:"Simone Ulrich Picoli",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/334383/images/15919_n.jpg",biography:"Graduated in Pharmacy from Universidade Luterana do Brasil (1999), Master in Agricultural and Environmental Microbiology from Federal University of Rio Grande do Sul (2002), Specialization in Clinical Microbiology from Universidade de São Paulo, USP (2007) and PhD in Sciences in Gastroenterology and Hepatology (2012). She is currently an Adjunct Professor at Feevale University in Medicine and Biomedicine courses and a permanent professor of the Academic Master\\'s Degree in Virology. She has experience in the field of Microbiology, with an emphasis on Bacteriology, working mainly on the following topics: bacteriophages, bacterial resistance, clinical microbiology and food microbiology.",institutionString:null,institution:{name:"Universidade Feevale",country:{name:"Brazil"}}},{id:"229220",title:"Dr.",name:"Amjad",middleName:"Islam",surname:"Aqib",slug:"amjad-aqib",fullName:"Amjad Aqib",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229220/images/system/229220.png",biography:"Dr. Amjad Islam Aqib obtained a DVM and MSc (Hons) from University of Agriculture Faisalabad (UAF), Pakistan, and a PhD from the University of Veterinary and Animal Sciences Lahore, Pakistan. Dr. Aqib joined the Department of Clinical Medicine and Surgery at UAF for one year as an assistant professor where he developed a research laboratory designated for pathogenic bacteria. Since 2018, he has been Assistant Professor/Officer in-charge, Department of Medicine, Manager Research Operations and Development-ORIC, and President One Health Club at Cholistan University of Veterinary and Animal Sciences, Bahawalpur, Pakistan. He has nearly 100 publications to his credit. His research interests include epidemiological patterns and molecular analysis of antimicrobial resistance and modulation and vaccine development against animal pathogens of public health concern.",institutionString:"Cholistan University of Veterinary and Animal Sciences",institution:null},{id:"62900",title:"Prof.",name:"Fethi",middleName:null,surname:"Derbel",slug:"fethi-derbel",fullName:"Fethi Derbel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/62900/images/system/62900.jpeg",biography:"Professor Fethi Derbel was born in 1960 in Tunisia. He received his medical degree from the Sousse Faculty of Medicine at Sousse, University of Sousse, Tunisia. He completed his surgical residency in General Surgery at the University Hospital Farhat Hached of Sousse and was a member of the Unit of Liver Transplantation in the University of Rennes, France. He then worked in the Department of Surgery at the Sahloul University Hospital in Sousse. Professor Derbel is presently working at the Clinique les Oliviers, Sousse, Tunisia. His hospital activities are mostly concerned with laparoscopic, colorectal, pancreatic, hepatobiliary, and gastric surgery. He is also very interested in hernia surgery and performs ventral hernia repairs and inguinal hernia repairs. He has been a member of the GREPA and Tunisian Hernia Society (THS). During his residency, he managed patients suffering from diabetic foot, and he was very interested in this pathology. For this reason, he decided to coordinate a book project dealing with the diabetic foot. Professor Derbel has published many articles in journals and collaborates intensively with IntechOpen Access Publisher as an editor.",institutionString:"Clinique les Oliviers",institution:null},{id:"300144",title:"Dr.",name:"Meriem",middleName:null,surname:"Braiki",slug:"meriem-braiki",fullName:"Meriem Braiki",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/300144/images/system/300144.jpg",biography:"Dr. Meriem Braiki is a specialist in pediatric surgeon from Tunisia. She was born in 1985. She received her medical degree from the University of Medicine at Sousse, Tunisia. She achieved her surgical residency training periods in Pediatric Surgery departments at University Hospitals in Monastir, Tunis and France.\r\nShe is currently working at the Pediatric surgery department, Sidi Bouzid Hospital, Tunisia. Her hospital activities are mostly concerned with laparoscopic, parietal, urological and digestive surgery. She has published several articles in diffrent journals.",institutionString:"Sidi Bouzid Regional Hospital",institution:null},{id:"229481",title:"Dr.",name:"Erika M.",middleName:"Martins",surname:"de Carvalho",slug:"erika-m.-de-carvalho",fullName:"Erika M. de Carvalho",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229481/images/6397_n.jpg",biography:null,institutionString:null,institution:{name:"Oswaldo Cruz Foundation",country:{name:"Brazil"}}},{id:"186537",title:"Prof.",name:"Tonay",middleName:null,surname:"Inceboz",slug:"tonay-inceboz",fullName:"Tonay Inceboz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/186537/images/system/186537.jfif",biography:"I was graduated from Ege University of Medical Faculty (Turkey) in 1988 and completed his Med. PhD degree in Medical Parasitology at the same university. I became an Associate Professor in 2008 and Professor in 2014. I am currently working as a Professor at the Department of Medical Parasitology at Dokuz Eylul University, Izmir, Turkey.\n\nI have given many lectures, presentations in different academic meetings. I have more than 60 articles in peer-reviewed journals, 18 book chapters, 1 book editorship.\n\nMy research interests are Echinococcus granulosus, Echinococcus multilocularis (diagnosis, life cycle, in vitro and in vivo cultivation), and Trichomonas vaginalis (diagnosis, PCR, and in vitro cultivation).",institutionString:"Dokuz Eylül University",institution:{name:"Dokuz Eylül University",country:{name:"Turkey"}}},{id:"71812",title:"Prof.",name:"Hanem Fathy",middleName:"Fathy",surname:"Khater",slug:"hanem-fathy-khater",fullName:"Hanem Fathy Khater",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/71812/images/1167_n.jpg",biography:"Prof. Khater is a Professor of Parasitology at Benha University, Egypt. She studied for her doctoral degree, at the Department of Entomology, College of Agriculture, Food and Natural Resources, University of Missouri, Columbia, USA. She has completed her Ph.D. degrees in Parasitology in Egypt, from where she got the award for “the best scientific Ph.D. dissertation”. She worked at the School of Biological Sciences, Bristol, England, the UK in controlling insects of medical and veterinary importance as a grant from Newton Mosharafa, the British Council. Her research is focused on searching of pesticides against mosquitoes, house flies, lice, green bottle fly, camel nasal botfly, soft and hard ticks, mites, and the diamondback moth as well as control of several parasites using safe and natural materials to avoid drug resistances and environmental contamination.",institutionString:null,institution:{name:"Banha University",country:{name:"Egypt"}}},{id:"99780",title:"Prof.",name:"Omolade",middleName:"Olayinka",surname:"Okwa",slug:"omolade-okwa",fullName:"Omolade Okwa",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/99780/images/system/99780.jpg",biography:"Omolade Olayinka Okwa is presently a Professor of Parasitology at Lagos State University, Nigeria. She has a PhD in Parasitology (1997), an MSc in Cellular Parasitology (1992), and a BSc (Hons) Zoology (1990) all from the University of Ibadan, Nigeria. She teaches parasitology at the undergraduate and postgraduate levels. She was a recipient of a Commonwealth fellowship supported by British Council tenable at the Centre for Entomology and Parasitology (CAEP), Keele University, United Kingdom between 2004 and 2005. She was awarded an Honorary Visiting Research Fellow at the same university from 2005 to 2007. \nShe has been an external examiner to the Department of Veterinary Microbiology and Parasitology, University of Ibadan, MSc programme between 2010 and 2012. She is a member of the Nigerian Society of Experimental Biology (NISEB), Parasitology and Public Health Society of Nigeria (PPSN), Science Association of Nigeria (SAN), Zoological Society of Nigeria (ZSN), and is Vice Chairperson of the Organisation of Women in Science (OWSG), LASU chapter. She served as Head of Department of Zoology and Environmental Biology, Lagos State University from 2007 to 2010 and 2014 to 2016. She is a reviewer for several local and international journals such as Unilag Journal of Science, Libyan Journal of Medicine, Journal of Medicine and Medical Sciences, and Annual Research and Review in Science. \nShe has authored 45 scientific research publications in local and international journals, 8 scientific reviews, 4 books, and 3 book chapters, which includes the books “Malaria Parasites” and “Malaria” which are IntechOpen access publications.",institutionString:"Lagos State University",institution:{name:"Lagos State University",country:{name:"Nigeria"}}},{id:"273100",title:"Dr.",name:"Vijay",middleName:null,surname:"Gayam",slug:"vijay-gayam",fullName:"Vijay Gayam",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/273100/images/system/273100.jpeg",biography:"Dr. Vijay Bhaskar Reddy Gayam is currently practicing as an internist at Interfaith Medical Center in Brooklyn, New York, USA. He is also a Clinical Assistant Professor at the SUNY Downstate University Hospital and Adjunct Professor of Medicine at the American University of Antigua. He is a holder of an M.B.B.S. degree bestowed to him by Osmania Medical College and received his M.D. at Interfaith Medical Center. His career goals thus far have heavily focused on direct patient care, medical education, and clinical research. He currently serves in two leadership capacities; Assistant Program Director of Medicine at Interfaith Medical Center and as a Councilor for the American\r\nFederation for Medical Research. As a true academician and researcher, he has more than 50 papers indexed in international peer-reviewed journals. He has also presented numerous papers in multiple national and international scientific conferences. His areas of research interest include general internal medicine, gastroenterology and hepatology. He serves as an editor, editorial board member and reviewer for multiple international journals. His research on Hepatitis C has been very successful and has led to multiple research awards, including the 'Equity in Prevention and Treatment Award” from the New York Department of Health Viral Hepatitis Symposium (2018) and the 'Presidential Poster Award” awarded to him by the American College of Gastroenterology (2018). He was also awarded 'Outstanding Clinician in General Medicine” by Venus International Foundation for his extensive research expertise and services, perform over and above the standard expected in the advancement of healthcare, patient safety and quality of care.",institutionString:"Interfaith Medical Center",institution:{name:"Interfaith Medical Center",country:{name:"United States of America"}}},{id:"93517",title:"Dr.",name:"Clement",middleName:"Adebajo",surname:"Meseko",slug:"clement-meseko",fullName:"Clement Meseko",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/93517/images/system/93517.jpg",biography:"Dr. Clement Meseko obtained DVM and PhD degree in Veterinary Medicine and Virology respectively. He has worked for over 20 years in both private and public sectors including the academia, contributing to knowledge and control of infectious disease. Through the application of epidemiological skill, classical and molecular virological skills, he investigates viruses of economic and public health importance for the mitigation of the negative impact on people, animal and the environment in the context of Onehealth. \r\nDr. Meseko’s field experience on animal and zoonotic diseases and pathogen dynamics at the human-animal interface over the years shaped his carrier in research and scientific inquiries. He has been part of the investigation of Highly Pathogenic Avian Influenza incursions in sub Saharan Africa and monitors swine Influenza (Pandemic influenza Virus) agro-ecology and potential for interspecies transmission. 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Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. 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Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}},subseries:[{id:"14",title:"Cell and Molecular Biology",keywords:"Omics (Transcriptomics; Proteomics; Metabolomics), Molecular Biology, Cell Biology, Signal Transduction and Regulation, Cell Growth and Differentiation, Apoptosis, Necroptosis, Ferroptosis, Autophagy, Cell Cycle, Macromolecules and Complexes, Gene Expression",scope:"The Cell and Molecular Biology topic within the IntechOpen Biochemistry Series aims to rapidly publish contributions on all aspects of cell and molecular biology, including aspects related to biochemical and genetic research (not only in humans but all living beings). We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics include, but are not limited to: Advanced techniques of cellular and molecular biology (Molecular methodologies, imaging techniques, and bioinformatics); Biological activities at the molecular level; Biological processes of cell functions, cell division, senescence, maintenance, and cell death; Biomolecules interactions; Cancer; Cell biology; Chemical biology; Computational biology; Cytochemistry; Developmental biology; Disease mechanisms and therapeutics; DNA, and RNA metabolism; Gene functions, genetics, and genomics; Genetics; Immunology; Medical microbiology; Molecular biology; Molecular genetics; Molecular processes of cell and organelle dynamics; Neuroscience; Protein biosynthesis, degradation, and functions; Regulation of molecular interactions in a cell; Signalling networks and system biology; Structural biology; Virology and microbiology.",annualVolume:11410,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"79367",title:"Dr.",name:"Ana Isabel",middleName:null,surname:"Flores",fullName:"Ana Isabel Flores",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRpIOQA0/Profile_Picture_1632418099564",institutionString:null,institution:{name:"Hospital Universitario 12 De Octubre",institutionURL:null,country:{name:"Spain"}}},{id:"328234",title:"Ph.D.",name:"Christian",middleName:null,surname:"Palavecino",fullName:"Christian Palavecino",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000030DhEhQAK/Profile_Picture_1628835318625",institutionString:null,institution:{name:"Central University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"186585",title:"Dr.",name:"Francisco Javier",middleName:null,surname:"Martin-Romero",fullName:"Francisco Javier Martin-Romero",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSB3HQAW/Profile_Picture_1631258137641",institutionString:null,institution:{name:"University of Extremadura",institutionURL:null,country:{name:"Spain"}}}]},{id:"15",title:"Chemical Biology",keywords:"Phenolic Compounds, Essential Oils, Modification of Biomolecules, Glycobiology, Combinatorial Chemistry, Therapeutic peptides, Enzyme Inhibitors",scope:"Chemical biology spans the fields of chemistry and biology involving the application of biological and chemical molecules and techniques. In recent years, the application of chemistry to biological molecules has gained significant interest in medicinal and pharmacological studies. This topic will be devoted to understanding the interplay between biomolecules and chemical compounds, their structure and function, and their potential applications in related fields. Being a part of the biochemistry discipline, the ideas and concepts that have emerged from Chemical Biology have affected other related areas. This topic will closely deal with all emerging trends in this discipline.",annualVolume:11411,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",institutionString:null,institution:{name:"Anadolu University",institutionURL:null,country:{name:"Turkey"}}},editorTwo:{id:"13652",title:"Prof.",name:"Deniz",middleName:null,surname:"Ekinci",fullName:"Deniz Ekinci",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYLT1QAO/Profile_Picture_1634557223079",institutionString:null,institution:{name:"Ondokuz Mayıs University",institutionURL:null,country:{name:"Turkey"}}},editorThree:null,editorialBoard:[{id:"241413",title:"Dr.",name:"Azhar",middleName:null,surname:"Rasul",fullName:"Azhar Rasul",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRT1oQAG/Profile_Picture_1635251978933",institutionString:null,institution:{name:"Government College University, Faisalabad",institutionURL:null,country:{name:"Pakistan"}}},{id:"178316",title:"Ph.D.",name:"Sergey",middleName:null,surname:"Sedykh",fullName:"Sergey Sedykh",profilePictureURL:"https://mts.intechopen.com/storage/users/178316/images/system/178316.jfif",institutionString:null,institution:{name:"Novosibirsk State University",institutionURL:null,country:{name:"Russia"}}}]},{id:"17",title:"Metabolism",keywords:"Biomolecules Metabolism, Energy Metabolism, Metabolic Pathways, Key Metabolic Enzymes, Metabolic Adaptation",scope:"Metabolism is frequently defined in biochemistry textbooks as the overall process that allows living systems to acquire and use the free energy they need for their vital functions or the chemical processes that occur within a living organism to maintain life. Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. Thus all studies on metabolism will be considered for publication.",annualVolume:11413,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",institutionString:null,institution:{name:"Artois University",institutionURL:null,country:{name:"France"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"243049",title:"Dr.",name:"Anca",middleName:null,surname:"Pantea Stoian",fullName:"Anca Pantea Stoian",profilePictureURL:"https://mts.intechopen.com/storage/users/243049/images/system/243049.jpg",institutionString:null,institution:{name:"Carol Davila University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"203824",title:"Dr.",name:"Attilio",middleName:null,surname:"Rigotti",fullName:"Attilio Rigotti",profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institutionString:null,institution:{name:"Pontifical Catholic University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"300470",title:"Dr.",name:"Yanfei (Jacob)",middleName:null,surname:"Qi",fullName:"Yanfei (Jacob) Qi",profilePictureURL:"https://mts.intechopen.com/storage/users/300470/images/system/300470.jpg",institutionString:null,institution:{name:"Centenary Institute of Cancer Medicine and Cell Biology",institutionURL:null,country:{name:"Australia"}}}]},{id:"18",title:"Proteomics",keywords:"Mono- and Two-Dimensional Gel Electrophoresis (1-and 2-DE), Liquid Chromatography (LC), Mass Spectrometry/Tandem Mass Spectrometry (MS; MS/MS), Proteins",scope:"With the recognition that the human genome cannot provide answers to the etiology of a disorder, changes in the proteins expressed by a genome became a focus in research. Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. The Proteomics topic aims to attract contributions on all aspects of MS-based proteomics that, by pushing the boundaries of MS capabilities, may address biological problems that have not been resolved yet.",annualVolume:11414,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorTwo:{id:"201414",title:"Dr.",name:"Simona",middleName:null,surname:"Viglio",fullName:"Simona Viglio",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKDHQA4/Profile_Picture_1630402531487",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorThree:null,editorialBoard:[{id:"72288",title:"Dr.",name:"Arli Aditya",middleName:null,surname:"Parikesit",fullName:"Arli Aditya Parikesit",profilePictureURL:"https://mts.intechopen.com/storage/users/72288/images/system/72288.jpg",institutionString:null,institution:{name:"Indonesia International Institute for Life Sciences",institutionURL:null,country:{name:"Indonesia"}}},{id:"40928",title:"Dr.",name:"Cesar",middleName:null,surname:"Lopez-Camarillo",fullName:"Cesar Lopez-Camarillo",profilePictureURL:"https://mts.intechopen.com/storage/users/40928/images/3884_n.png",institutionString:null,institution:{name:"Universidad Autónoma de la Ciudad de México",institutionURL:null,country:{name:"Mexico"}}},{id:"81926",title:"Dr.",name:"Shymaa",middleName:null,surname:"Enany",fullName:"Shymaa Enany",profilePictureURL:"https://mts.intechopen.com/storage/users/81926/images/system/81926.png",institutionString:"Suez Canal University",institution:{name:"Suez Canal University",institutionURL:null,country:{name:"Egypt"}}}]}]}},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"profile.detail",path:"/profiles/317262",hash:"",query:{},params:{id:"317262"},fullPath:"/profiles/317262",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()