Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\n
We wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\n
Throughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\n
We wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
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1. Introduction
The increasing worldwide pollution by complex mixtures of chemical compound is a crucial environmental problem facing humanity [1]. Currently, conventional treatments are insufficient to achieve full recovery of industrial effluents; therefore, the so-called advanced oxidation processes (AOP) have generated more interest in recent years as can be seen by the increasing number of published articles from 1970 to date, Figure 1a.
Figure 1.
Publications per year indexed in SCOPUS database using the keyword: (a) “advanced oxidation processes” and (b) “catalytic ozonation”.
The main feature of the AOP is the generation of oxidizing species such as hydroxyl radical (•OH) that decompose and even mineralize pollutants [2]. The AOP can be classified into homogeneous and heterogeneous processes [3], but basically, the heterogeneous route is preferred, since it allows the recovery and reuse of the catalyst during several treatment cycles. Among the AOP, ozone (O3) has been widely used due to its high oxidation potential (2.07 V) that can further increase with the presence of a catalyst as a result of •OH species (2.8 V). This method is commonly known as catalytic ozonation. Figure 1b shows the growing interest that this promising method has taken.
Research on catalytic ozonation has demonstrated that several parameters participate in the processes [4, 5, 6]. One of the most important is the pH of the reaction medium, because it has an effect on the catalyst surface charge (for instance, zero charge point), which influences the reactants adsorption and the overall efficiency of the process [4, 5]. Likewise, changes in the pH also affect the ozone decomposition, in such a way that a basic pH favors its decomposition into ●OH, making the catalyst presence needless. Obviously, the concentrations of catalyst, ozone, and pollutant also have a significant effect on the degradation/mineralization process [4, 6]. Generally speaking, at increasing of catalyst concentration basically enhances the pollutant degradation and a similar tendency occurs when increasing the ozone concentration [4, 6]. On the contrary, at high concentrations of the pollutant, an inverse trend is observed, hindering the transformation of the pollutant [4, 6].
In addition to the above, there is a wide variety of materials studied in catalytic ozonation for instance metal oxides, supported metals, activated carbon, and zeolites [7, 8, 9]. Each of these materials has different properties and characteristics such as, specific area, particle size, and zero charge point, among others. As a result, there is still controversy regarding the reaction mechanism that takes place in catalytic ozonation process so far three possibilities have been established [10]: (1) ozone is adsorbed on the surface of the catalyst to react with the active sites and form •OH, (2) the organic molecule is adsorbed on the surface of the catalyst and subsequently attacked by ozone or •OH, and (3) both, the ozone and compound are adsorbed on the surface of the catalyst to react.
Although catalytic ozonation overcomes the disadvantages of conventional ozonation, it has its own limitations due to the leachates probable generation in the system and inactivation of the catalyst after several cycles of use. The intention of this chapter is to introduce the key aspects of heterogeneous catalytic ozonation, aiming to explain the role of the catalyst on the degradation of different organic compounds (2,4-D, phthalic acid, benzoic acid, naproxen, naphthalene). Additionally, the interferences of organic matter (represented with different proportions of ethanol) to eliminate compounds by catalytic ozonation was studied to demonstrate the advantages and constrains of the process for future applications.
2. Experimental conditions
2.1. Materials
2,4-Dichlorophenoxyacetic acid, naphthalene, phthalic, and benzoic acids were obtained from Sigma-Aldrich and used as received, while naproxen was acquired from J.T. Baker. Some properties of these compounds are presented in Table 1.
Table 1.
Properties of the selected aromatic compounds.
2.2. Experimental procedure
The reaction was carried out at semi-batch conditions in a 500-mL Pyrex reactor by the continuous bubbling of ozone/oxygen mixture through a ceramic porous diffuser located at the bottom of the reactor. Ozone was produced using a corona discharge type generator HTU500G (AZCO Industries Limited–Canada) The ozone concentration in the gas phase was measured using a BMT 964 BT (BMT Messtechnik, Berlin) employing a flow of 0.5 L min−1, and working temperature of 21°C. Two initial concentrations of ozone were used: (1) 30 mg L−1 for 2,4-D, PA, and BA, and (2) 5 mg L−1 for NAP and NP. The interference study was performed with NAP and NP in the presence of ethanol (10:90, 30:70 and 50:50 v/v of ethanol/water). Ethanol was used as a cosolvent to increase the solubility of both compounds and to simulate the high load of organic matter in the catalytic system. The flow diagram of the ozonation procedure is illustrated in Figure 2.
Figure 2.
Schematic diagram of the experimental setup.
2.3. Analytical methods
The model compounds selected in this work were analyzed by high-performance liquid chromatography (HPLC) using a Perkin Elmer Flexar with photodiode array detector (PDA) at the following conditions, Table 2.
Table 2.
Analytical conditions of the selected compounds.
The chemical oxygen demand (COD) was evaluated using COD tubes for a low range of Hanna instruments HI 94754A-25 with 2 mL of sample. The digested samples were analyzed in a UV–VIS Perkin Elmer Lambda 2S at 600 nm.
The study of naproxen byproducts was analyzed by electrospray ionization Tandem Mass Spectrometry (ESI-MS–MS) by direct injection of the sample using the electrospray ionization interface (MICROTOF-Q II 10392) in the negative ion scan mode. The capillary voltage was 2700 V and temperature was set at 180°C. The pressure and spray gas flow rate were at 0.4 Bar and 4 L min−1, respectively. The spectra were acquired over the m/z range from 50 to 3000.
2.4. Characterization techniques
The zeta potential of the catalyst (pHzPC) was determined by Malvern Zetasizer at 25°C using the titration method with HCl and NaOH both at 0.01 N. Surface area and pore size measurements were carried out an Micromeritics Autochem II 2920 equipment, through N2 adsorption using Brunauer-Emmet-Teller (BET) model. Photoelectron general-level spectra of the catalysts were obtained with an X-ray photoelectron spectrometer (ThermoFisher Scientific K-Alpha) with a monochromatized AlKα X-ray source (1487 eV). The base pressure of the system was 10−9 mbar. Prior to X-ray photoelectron spectroscopy (XPS) analysis, all samples were dried at 100°C for 24 h, posteriorly, they were dispersed and embedded in a 5 × 5 mm indium foil and fixed with Cu double-sided tape to the sample holder. Narrow scans were collected at 60 eV analyzer pass energy and a 400-μm spot size.
3. Results and discussion
3.1. Effect of the type of metal oxide on ozone decomposition
The ozone decomposition over the surface of the catalyst occurs by the interaction between H2O and a metal oxide which tends to strongly adsorb H2O molecules. The adsorbed H2O dissociates to OH− and H+, forming surface hydroxyl group with the surface metal and oxygen sites, respectively [11]. Therefore, ozone can react with the surface hydroxyl group generating •OH on the surface of the metal oxide. There are several techniques to determine the presence of higher oxidant species like •OH. Among the techniques is electron paramagnetic resonance (EPR), adding an inhibitor to reaction system (t-butanol) or measuring dissolved ozone directly in the medium. In this work, the indirect method of dissolved ozone measurements was carried out with the aim to determine the ozone decomposition and possible formation of •OH in presence of catalysts (Al2O3, TiO2, SiO2, NiO) in water.
Figure 3 shows the profiles of dissolved ozone concentrations as a function of time by conventional and catalytic ozonation in unbuffered water. Ozone concentration profile without catalyst presents an initial value of 4.3 mg L−1 which coincide with Henry’s Law in steady state at 20°C [12].
Figure 3.
Dissolved ozone concentrations dynamics in function of time by conventional and catalytic ozonation in unbuffered water.
After adding some catalyst in the system, the initial value of ozone diminished in comparison with ozone alone. This fact is due to the ozone decomposition in water.
In presence of NiO catalyst, the initial value of ozone concentration diminished around 27% under the same experimental conditions that conventional ozonation. With TiO2 catalyst, the difference between the dissolved ozone concentrations was insignificant in comparison with ozone alone. The ozone decomposition increased according to the following order: TiO2 (4%) < Al2O3 (14%) < SiO2 (19%) < NiO (27%). It is interesting to note that the profile of ozone concentration decreases at 95% in 30 min in the absence of a catalyst. While in the catalytic processes, such decrease was around 21 min. The latter development was the result of the minor ozone concentration in the catalytic systems.
These results are the consequence of the adsorption of ozone over the catalyst surface and the physicochemical characteristics of each metallic oxide. The main physical variables reported are surface area, density, pore volume, mechanical strength, and commercial availability [7]. Among the chemical properties, the most important is the chemical stability and the presence of active surface sites mostly Lewis acid sites. Table 3 summarized some physicochemical properties of metallic oxides.
Table 3.
Physicochemical properties of the metallic oxides.
As can be seen in Table 3, even though there are notable differences in the specific surface of the respective oxides, the most outstanding property is the highest value of the pHZPC (11.6) presented by nickel oxide. This catalyst may adsorb very favorably ozone and then it would promote a chain reaction involving •OH generation. In consequence, the mineralization degree of an organic compound would increase by the presence of NiO.
To confirm this hypothesis, 2,4-D was considered as a model organic compound to study its degradation. 2,4-D is an herbicide widely used to control broadleaf weeds in cereal and grain crops, recreation areas, golf courses, and gardening. The biodegradation is a common method used for the elimination of 2,4-D in aqueous solution, however, its degradation efficiency is not effective due to its higher concentrations (>1 ppm) and large periods of treatment (months) [13]. For this reason, several publications about 2,4-D degradation have been reported using AOPs [14, 15, 16, 17, 18].
The removal of 2,4-D was carried out in presence of Al2O3, TiO2, SiO2, and NiO with ozone, as shown in Figure 4. NiO exhibits the highest activity (around 65%) in comparison with the other metal oxides after 60 min of reaction. This can be explained in terms of NiO capacity to decompose ozone and the formation of •OH. Other catalysts have shown slight differences in the mineralization degree with conventional ozonation that effect can be attributable to the lower production of oxidant species by each oxide.
Figure 4.
Mineralization percentage obtained in the 2,4-D ozonation in function of reaction time with several metallic oxides.
In addition to the ozone decomposition capacity by metallic oxides, the pH solution is an important parameter that modifies the charge surface of the hydroxyl group at oxide/water interface. Under our experimental conditions, three of the catalysts (TiO2, Al2O3, and NiO) were protonated (MeOH+), since pH is below the pHZPC, in consequence, the adsorption of anions is favored as reported by [19]. Generally, the pH of ozonated solutions changes to acid as the treatment time increases by the formation of short-chain organic acids. Nonetheless, pH solution changes from 3.1 to 6.2 in the 2,4-D ozonation with NiO as a catalyst. The above result is due to the decomposition of the main compound as well as the formed byproducts. Despite being only 8%, the difference between the ozone decomposition with SiO2 and NiO, the mineralization degree achieved was several units apart (23 and 60% for SiO2 and NiO, respectively). The latter indicates that an indirect mechanism could not be enough to mineralize 60% of 2,4-D. Thus, it is possible that more than one mechanism interferes in the heterogeneous catalytic ozonation. Therefore, the adsorption and decomposition of the complex species (organic compound-metal oxide) on the surface catalyst were considered as another mechanism and XPS was used to confirm it.
The general XPS spectrum of fresh NiO displays common signals of adventitious carbon (284.5 eV), oxygen (530 eV), and nickel (850–870 eV) as observed in Figure 5. When the NiO is present in the 2,4-D ozonation, an additional signal between 196 and 206 eV attributed to Cl2p region (signal not detected in any other metallic oxide). This peak indicates that there is an interaction between the by-products with active surface sites of NiO. An increase in the ozonation time eliminates adsorbed organic matter (C1s and Cl2p regions) onto NiO surface and consequently diminishes the intensity of the signals.
Figure 5.
General XPS spectra of NiO after the 2,4-D ozonation.
Moreover, the analysis of the Cl2p region confirms that the dechlorination is one of the steps involved in the mechanism of the reaction [20]. Hence, the use of general XPS spectrum allowed us to detect the presence of chemical species related to byproducts. As a result, the presence of NiO in the 2,4-D removal significantly increased the mineralization degree during 60 min of ozonation as a result of the combination of three mechanisms: (1) conventional ozonation, (2) ozone decomposition (27%) and •OH generation, as well as (3) formation of organic complex species onto NiO.
3.2. Effect of the initial compounds in the combination of ozone with NiO
For many decades, the conventional ozonation method has been widely used for disinfection and degradation of organic pollutants. However, this technique presents a high selectivity. In consequence, the efficiency of ozonation process is dependent on the chemical structure of the organic compounds to be degraded.
2,4-D, BA, and PA were selected as target compounds to study the chemical structure effect on conventional and catalytic ozonation in water. The difference in the chemical structure between BA and PA is the number of the carboxylic groups present in each molecule. BA is widely used as a reagent in the pharmaceutical industry, while PA is employed in the textile sector [23, 24]. Both compounds are toxic, and exhibit low degradation [21, 22]. The evaluation of these compounds was carried out with NiO because the catalyst significantly increased the mineralization degree during 2,4-D catalytic ozonation at pH 3.1 (see Section 3.1).
Figure 6a and b show the mineralization profile of the three organic acids under non-catalyzed and catalyzed ozonation, respectively. By the first route (Figure 6a), it is clearly noticed that the mineralization rates of BA and PA were higher than that obtained for 2,4-D, reaching 35 and 42% of mineralization degree during 60 min, respectively. This result indicates that BA, PA, and some generated byproducts are easily eliminated with ozone. It is important to highlight that the BA and PA have similar degradation pathways; therefore, the difference between both mineralization percentages was minor to 10%.
Figure 6.
Evolution of mineralization degree in the elimination of 2,4-D, PA and BA by conventional (a) and catalytic (b) ozonation as a function of reaction time.
In the case of 2,4-D, the formation of chlorinated compounds (2,4-dichlorophenol) is favored due to the high value of the herbicide degradation rate constant (k = 16.7×103 L mol−1 min−1) [20]. It is known that the presence of chlorinated compounds reduces the mineralization percentage of conventional ozonation treatments. Moreover, none of the studied compounds obtained total mineralization by conventional ozonation. The mineralization degree increases in the following order 2,4-D < BA<PA. Hence, the non-catalyzed reaction was strongly influenced by chemical structures of organic compounds in the system as well as by the reaction time. Generally, the oxygenated compounds such as saturated carboxylic acids (short chain) are the end products of aromatic compounds treatment by conventional ozonation [25]. The accumulation of these acids during ozonation alone reduces the efficiency of the mineralization process.
On the other hand, an improved mineralization (around 95%) was attained at 60 min for BA and PA by the catalytic ozonation process, Figure 6b. Furthermore, mineralization percentage of 2,4-D increase from 23 to 62% in presence of NiO as catalyst. A first interpretation of these superior results compared with the ozonation alone, would be in terms of an enhanced mineralization rate of aromatic acids due to ozone interaction with NiO surface. As a result, the formation of free radicals that initiate radical type reactions on the surface of the catalysts as well as in the liquid phase was expected [26]. Hence, the addition of NiO significantly increased the mineralization rate of the studied aromatic acids during 60 min of the treatment. In sum, the catalytic ozonation achieved the elimination of the main compound along with the byproducts generated in the reaction. This fact makes of catalytic ozonation a promising alternative to eliminate recalcitrant compounds obtaining higher mineralization percentages due to the low selectivity of the process.
3.3. Influence of catalyst dosage on organic compounds elimination
The impact of catalyst dosage on catalytic ozonation of different pollutants has been reported in many research works [27, 28, 29]. Basically, at increasing catalyst concentration, a higher efficiency of the organic pollutants degradation is observed. However, an inhibiting effect may exert further increase of catalyst dosage by adsorption of organic compounds on the surface-active sites of the catalyst.
The study of BA, PA, and 2,4-D degradation profiles showed an insignificant effect by varying the catalyst concentration (results not shown). This fact is due to that direct reaction with molecular ozone was a feasible method to decompose model compounds achieving up to 95% removal of three compounds in 20 min [20, 30]. Oxalic acid (OA) is the main recalcitrant product formed from the model compounds elimination and it was chosen to study the catalyst dose influence. Figure 7 shows the OA concentration as a function of ozonation time at two NiO concentrations (0.1 and 0.5 g L−1).
Figure 7.
OA concentrations in the elimination of (a) BA, (b) PA and (c) 2,4-D in water.
When NiO was introduced into the system, the concentration profile of oxalic acid changed considerably in all the model compounds in comparison with conventional ozonation which show an accumulation profile of OA. In the case of BA elimination, the OA concentration was around 9 mg L−1 which is almost 6 times lesser than conventional ozonation during 60 min at 0.1 g L−1 of catalyst dose, Figure 7a. The increase of NiO loading (0.5 g L−1) produced a minor amount of OA (4 mg L−1) in the process. The PA degradation generated higher OA concentration than BA decomposition at the same catalyst concentration, due to the stoichiometric ratio between model organic compound and OA. In general, the behavior of this final product is similar in the three organic acids (2,4-D, PA, and BA) because the increase in the catalyst dosage diminished the OA concentration, Figure 7b and c. The outcome of the latter can be explained on account of more active sites result of the increase of dosage on NiO.
Without a doubt, heterogeneous catalysts in suspension are excellent promoters of ozone decomposition to favor the mineralization of toxic compounds in water. However, it must be taken into account that the use of powder catalysts would involve additional processes as filtration, drying, and so on for their separation and recovery, which should be avoided.
3.4. Effect of cosolvent in naphthalene and naproxen degradation with NiO
Catalytic ozonation is an efficient technology that overcomes the drawbacks of conventional ozonation. Nevertheless, this technology’s main disadvantages are the surface adsorption of byproducts generated, the catalyst recuperation, and the presence of interferences in wastewater such as salts and organic matter [7, 31, 32]. In view of the successful results found in the catalytic ozonation with NiO (i.e., high mineralization degree of several organic compounds) previously described, we decided to study the effect of organic matter over NP (polycyclic aromatic hydrocarbon, a toxic compound with teratogenic and mutagenic activity [33]) and NAP (nonsteroidal anti-inflammatory drug) degradation with the same catalyst.
The dynamics of NP degradation by catalytic and conventional ozonation under different amounts of ethanol are shown in Figure 8. The treatment of NP attained 100% of removal in solutions with 10% v/v of ethanol after 20 min and 98% of elimination at 30% v/v during 60 min. By further increasing the ethanol concentration to 50% v/v, the removal only reached 55% after 60 min indicating, that greater organic loads affect NP removal. The latter fact points out the feasibility of low-concentration toxic pollutants degradation under high organic loads by catalytic ozonation or some other treatments such as biological systems in order to reach higher removal rates [34, 35, 36]. The degradation profiles obtained by conventional and catalytic ozonation show no significant difference despite being the •OH reaction rate constants in the order of 109 M−1 s−1 for ethanol and NP [37, 38]. This similarity is probable by the high concentration of ethanol that consumes most of the ●OH produced by the catalyst as the main radical species reported with NiO [30, 39].
Figure 8.
NP degradation under different ethanol/water ratios by conventional and catalytic ozonation.
Similarly, with 2,4-D, BA, and PA degradation (Section 3.3), the NP decomposition also results in the formation of OA as the final product, Figure 9a. However, it is not only produced from NP as shown in Figure 9b. Both figures exhibit that higher ethanol concentration enhances OA production and that the presence of NiO reduces its concentration in 60 min of treatment. It is worth mentioning that the treatments with 30% v/v of ethanol had in the first 5 min a rise in OA concentration followed by a degradation of the molecule in presence of a catalyst. Such pattern of formation-degradation of NP byproducts was the product of the NiO catalytic action (Figure 9).
Figure 9.
OA concentration in conventional and catalytic ozonation (a) with NP and (b) without NP.
The catalyst surface was analyzed after the catalytic ozonation of NP (results no showed). The signals obtained from XPS for NiO with 30:70 ethanol/water in absence of NP at O1s and C1s regions showed signals of -COH, -C=O, -OC=O, and -C-C species related to the interaction of ethanol and byproducts with the catalyst. The presence of these species indicated that the adsorption of organic matter or byproducts contribute to reducing the active sites available in the catalyst and resulted in a lower catalytic ozonation efficiency.
One way to determine the catalyst efficiency in catalytic ozonation process is through COD or total organic carbon (TOC). Unfortunately, due to the low solubility of NP in water and the high load of organic matter resulted from ethanol presence, these global parameters could not be obtained. For this reason, NAP (a nonsteroidal anti-inflammatory drug and a recalcitrant pollutant in water bodies [40, 41]) was selected to be studied without the interference of organic matter in catalytic ozonation with NiO. These types of pharmaceutical pollutants in wastewater are a growing concern because of their molecules that are designed to trigger biologic functions and affect different species even at low concentrations (ng L−1 or μg L−1).
Figure 10 presents NAP degradation by catalytic ozonation with NiO during 20 min for solutions with and without ethanol. The degradation time was short in mixtures with lower ethanol concentrations and even smaller in absence of solvent (the signal disappears in 5 min). The latter indicates that NAP molecule requires inferior reaction times than NP. However, ESI-MS–MS demonstrated that the presence of ethanol in the NAP degradation produces aromatic structures as byproducts contrary to the samples that do not contain ethanol which did not present those ions (data not shown). Similar structures were observed or proposed by other investigators [42, 43]. The COD of solutions ozonated without cosolvent are shown in Table 4 proving the catalyst activity (2.3 mg L−1) in comparison to conventional ozonation (11.2 mg L−1). The reduction of the COD and absence of byproducts in ESI-MS–MS from the samples without ethanol demonstrated the effect of the catalyst in the mineralization of NAP. Moreover, it provides information about the effect of organic matter in the catalytic ozonation process and exhibit that ethanol diminished the mineralization of the pharmaceutical product. Comparable results have been obtained during NAP elimination with ethanol (used as a scavenger) in thermally activated persulfate (technology that produces oxidant species: SO4•− and •OH) [44]. Therefore, the results presented in Section 3 demonstrated that NiO is an excellent catalyst for the elimination of a variety of toxic organic compounds in water.
Figure 10.
NAP concentration in catalytic ozonation with different ethanol/water proportions.
Table 4.
COD of NAP degradation without ethanol and under different ozonation process (60 min).
In addition to the effect of the chemical structure of the pollutant, the catalyst dosage and the presence of interference (organic matter) play an important role in the degradation process. This work did not take into account the pH effect, which has strong influence on the charge of both, catalyst and organic compound, favoring certain surface reactions. Indeed, it is well known that conventional ozonation is more effective at basic conditions owing to the combination of direct and indirect mechanisms. In the case of catalytic ozonation, both mechanisms can occur since some catalysts as NiO promotes the ozone decomposition at acidic conditions. Therefore, a proper selection of the reaction on pH must be carefully analyzed to avoid catalyst deactivation (lixiviation).
Nowadays various researches have focused their investigations on the synthesis of catalysts with the intention to fulfill the three requirements of selectivity, activity, and stability in the ozonation process [45, 46, 47]. The stability is affected by the reuse of catalyst, mainly when there are changes in any of their physicochemical properties. In this situation, it is necessary to use activation techniques which could increase the operating costs. Hence, studies of catalytic ozonation will continue to increase searching for the catalyst that gathers all the necessary characteristics to maximize its activity making of it a feasible alternative for the elimination of toxic compounds in wastewater or the industrial sector.
4. Conclusions
According to our results, we can conclude the following:
The dissolved ozone concentrations dynamics demonstrated that NiO achieved the higher ozone decomposition (27%) due to adsorption of a considerable amount of hydroxyl groups.
NiO was a good catalyst to mineralize a high concentration of herbicide (80 mg L−1) in comparison with TiO2, SiO2, and Al2O3 during 1 h of reaction with ozone. This fact was explained in terms of the combination of three mechanisms: (1) conventional ozonation, (2) ozone decomposition and possible formation of ●OH, and (3) the complex compounds formation. The last mechanism was demonstrated by the presence of a signal attributed to chlorinated compounds on the surface of NiO at 2 min by XPS spectra. The intensity of signal diminished with the ozonation time (60 min). Thereby, the 2,4-D elimination using the combination ozone-NiO was also performed by means of surface reaction (complex compounds).
The nearly complete mineralization (around 95%) of PA and BA was achieved with NiO during 60 min. The difference in the mineralization degree between both compounds was insignificant (<3%) due to the same degradation pathway, since the initial chemical structure is alike and catalytic ozonation also presented lower selectivity in the reaction. Meanwhile, the mineralization degree of 2,4-D was around 60% in the same treatment time for both organic acids. In contrast, conventional ozonation showed higher selectivity obtaining the following trend of mineralization rates PA > BA>2,4-D.
Oxalic acid as recalcitrant product originated from organic acids decomposition was removed proportionally to the initial catalyst dosage as a result of increasing •OH generation by the ozone decomposition.
NP degradation is faster at low ethanol concentration (100% in 20 min for 10% v/v) and diminishes as the relation cosolvent:water increases (55% during 60 min at 50% v/v) indicating that the presence of organic matter affects the catalytic ozonation process. This could be due to the adsorption of organic matter or some byproducts over the surface catalyst, as demonstrated XPS signals, reducing the active sites available in the catalyst and lowering the catalytic ozonation efficiency.
Contrary to NP results, NAP degradation is faster even at higher ethanol concentrations (90% in 20 min at 50% v/v). This indicated that despite the elevated organic matter content, it is still possible to achieve the complete elimination of NAP. The COD analysis from the ozonated sample without ethanol proved the effect of NiO (2.3 mg L−1) in comparison with conventional ozonation (11.2 mg L−1) during 60 min of treatment.
Acknowledgments
J.L. Rodriguez thanks the economic support of IPN (Project: SIP 20170103 and 20180459) and M.A. Valenzuela to IPN (SIP-20171127).
Conflict of interest
The authors declare that they have no conflict of interest.
\n',keywords:"ozone, catalyst, hydroxyl radical, water, cosolvent",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/60606.pdf",chapterXML:"https://mts.intechopen.com/source/xml/60606.xml",downloadPdfUrl:"/chapter/pdf-download/60606",previewPdfUrl:"/chapter/pdf-preview/60606",totalDownloads:1351,totalViews:292,totalCrossrefCites:2,totalDimensionsCites:8,totalAltmetricsMentions:0,impactScore:3,impactScorePercentile:86,impactScoreQuartile:4,hasAltmetrics:0,dateSubmitted:"May 16th 2017",dateReviewed:"March 6th 2018",datePrePublished:"April 11th 2018",datePublished:"July 4th 2018",dateFinished:"April 10th 2018",readingETA:"0",abstract:"Freshwater pollution compromises drinking water in a worldwide context. Water pollution is one of the major environmental challenges facing humanity. Therefore, the application of methods to control the pollution in water is a growing research field. Among the methods, ozone has been widely applied due to its high oxidation potential. However, one disadvantage is the presence of refractory organic compounds that are partially oxidized leaving mineralization incomplete. Several approaches have been considered to improve the oxidizing power, reducing the reaction time, and increasing the mineralization degree of ozone. So far, the combination of a solid catalyst with ozone (catalytic ozonation) has shown to enhance the degradation of refractory organic compounds in water. This chapter presents the combination of different metallic oxides (Al2O3, TiO2, SiO2, and NiO) with ozone to determine the effect of ozone decomposition and the subsequent elimination of one chlorinated compound (2,4-D). The chemical structure of the initial compound (2,4-D, benzoic and phthalic acid), as well as the initial catalyst dosage (0.1 and 0.5 g L−1) with the mentioned compounds, was also studied. Moreover, the degradation of two aromatic compounds (naphthalene and naproxen) with different proportions of ethanol (representing the organic matter of wastewater) was analyzed to establish their effect on the catalytic ozonation process.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/60606",risUrl:"/chapter/ris/60606",book:{id:"6255",slug:"ozone-in-nature-and-practice"},signatures:"Julia Liliana Rodríguez, Iliana Fuentes, Claudia Marissa Aguilar,\nMiguel Angel Valenzuela, Tatiana Poznyak and Isaac Chairez",authors:[{id:"164677",title:"Dr.",name:"Tatyana",middleName:null,surname:"Poznyak",fullName:"Tatyana Poznyak",slug:"tatyana-poznyak",email:"tpoznyak@ipn.mx",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"Autonomous University of Chihuahua",institutionURL:null,country:{name:"Mexico"}}},{id:"164966",title:"Dr.",name:"Isaac",middleName:null,surname:"Chairez",fullName:"Isaac Chairez",slug:"isaac-chairez",email:"isaac_chairez@yahoo.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"211269",title:"Dr.",name:"Julia Liliana",middleName:null,surname:"Rodríguez",fullName:"Julia Liliana Rodríguez",slug:"julia-liliana-rodriguez",email:"ozliliana@yahoo.com.mx",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"Instituto Politécnico Nacional",institutionURL:null,country:{name:"Mexico"}}},{id:"211508",title:"Dr.",name:"Iliana",middleName:null,surname:"Fuentes",fullName:"Iliana Fuentes",slug:"iliana-fuentes",email:"ilianafuentes_84@yahoo.com.mx",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"211509",title:"MSc.",name:"C. Marissa",middleName:null,surname:"Aguilar",fullName:"C. Marissa Aguilar",slug:"c.-marissa-aguilar",email:"assiram_12@hotmail.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"211510",title:"Dr.",name:"Miguel A.",middleName:null,surname:"Valenzuela",fullName:"Miguel A. Valenzuela",slug:"miguel-a.-valenzuela",email:"mavalenz@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. Experimental conditions",level:"1"},{id:"sec_2_2",title:"2.1. Materials",level:"2"},{id:"sec_3_2",title:"2.2. Experimental procedure",level:"2"},{id:"sec_4_2",title:"2.3. Analytical methods",level:"2"},{id:"sec_5_2",title:"2.4. Characterization techniques",level:"2"},{id:"sec_7",title:"3. Results and discussion",level:"1"},{id:"sec_7_2",title:"3.1. Effect of the type of metal oxide on ozone decomposition",level:"2"},{id:"sec_8_2",title:"3.2. Effect of the initial compounds in the combination of ozone with NiO",level:"2"},{id:"sec_9_2",title:"3.3. Influence of catalyst dosage on organic compounds elimination",level:"2"},{id:"sec_10_2",title:"3.4. Effect of cosolvent in naphthalene and naproxen degradation with NiO",level:"2"},{id:"sec_12",title:"4. Conclusions",level:"1"},{id:"sec_13",title:"Acknowledgments",level:"1"},{id:"sec_16",title:"Conflict of interest",level:"1"}],chapterReferences:[{id:"B1",body:'Rodriguez-Narvaez OM, Peralta-Hernandez JM, Goonetilleke A, Bandala ER. Treatment technologies for emerging contaminants in water: A review. Chemical Engineering Journal. 2017;323:361-380. DOI: 10.1016/j.cej.2017.04.106'},{id:"B2",body:'Saritha P, Aparna C, Himabindu V, Anjaneyulu Y. Comparison of various advanced oxidations processes for the degradation of 4-chloro-2-nitrophenol. 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DOI: 10.1039/C7RA07553G'},{id:"B30",body:'Magallanes D, Rodríguez JL, Poznyak T, Valenzuela MA, Lartundo L, Chairez I. Efficient mineralization of benzoic and phthalic acids in water by catalytic ozonation using a nickel oxide catalyst. New Journal of Chemistry. 2015;39:7839-7848. DOI: 10.1039/C5NJ01385B'},{id:"B31",body:'Ikhlaq A, Brown D, Kasprzyk-Hordern B. Mechanisms of catalytic ozonation: An investigation into superoxide ion radical and hydrogen peroxide formation during catalytic ozonation on alumina and zeolites in water. Applied Catalysis B: Environmental. 2013;129:437-449. DOI: 10.1016/j.apcatb.2012.09.038'},{id:"B32",body:'Gan S, Lau E, Ng H. Remediation of soils contaminated with polycyclic aromatic hydrocarbons (PAHs). Journal of Hazardous Materials. 2009;172:532-549. DOI: 10.1016/j.jhazmat.2009.07.118'},{id:"B33",body:'Environment Agency United Kingdom. Risk Assessment of Naphthalene. 2007. Available from: https://echa.europa.eu/documents/10162/5f0beb6c-575f-4a1b-aff5-b37f06eb3852 [Accessed: 2018-01-10]'},{id:"B34",body:'Aguilar C, Rodríguez J, Chairez I, Tiznado H, Poznyak T. Naphthalene degradation by catalytic ozonation based on nickel oxide: Study of the ethanol as cosolvent. Environmental Science and Pollution Research. 2017;24:25550-25560. DOI: 10.1007/s11356-016-6134-2'},{id:"B35",body:'Oller I, Malato S, Sánchez-Pérez J. Combination of advanced oxidation processes and biological treatments for wastewater decontamination: A review. Science of The Total Environment. 2011;409:4141-4166. DOI: 10.1016/j.scitotenv.2010.08.061'},{id:"B36",body:'Moussavi G, Khavanin A, Alizadeh R. The integration of ozonation catalyzed with MgO nanocrystals and the biodegradation for the removal of phenol from saline wastewater. Applied Catalysis B: Environmental. 2010;97(1-2):160-167. DOI: 10.1016/j.apcatb.2010.03.036'},{id:"B37",body:'Poole J, Shi X, Hadad C, Platz M. Reaction of hydroxyl radical with aromatic hydrocarbons in nonaqueous solutions: A laser flash photolysis study in acetonitrile. The Journal of Physical Chemistry A. 2005;109(11):2547-2551. DOI: 10.1021/jp0452150'},{id:"B38",body:'Buxton G, Greenstock C, Helman W, Ross A. Critical review of rate constants for reactions of hydrated electrons, hydrogen atoms and hydroxyl radicals (●OH/O−) in aqueous solution. Journal of Physical and Chemical Reference Data. October 2009;17:513-886. DOI: 10.1063/1.555805. 1988 Published Online'},{id:"B39",body:'Wu K, Zhang F, Wu H, Wei C. The mineralization of oxalic acid and bio-treated coking wastewater by catalytic ozonation using nickel oxide. Environmental Science and Pollution Research. 2018;25:2389-2400. DOI: 10.1007/s11356-017-0597-7'},{id:"B40",body:'Verlicchi P, Aukidy M, Zambello E. Occurrence of pharmaceutical compounds in urban wastewater: Removal, mass load and environmental risk after a secondary treatment: A review. Science of the Total Environment. 2012;429:123-155. DOI: 10.1016/j.scitotenv.2012.04.028'},{id:"B41",body:'Farre M, Ferrer I, Ginebreda A, Figueras M, Olivella L, Tirapu L, Vilanova M, Barcelo D. Determination of drugs in surface water and wastewater samples by liquid chromatography–mass spectrometry: Methods and preliminary results including toxicity studies with Vibrio fischeri. Journal of Chromatography A. 2001;938:187-197. DOI: 10.1016/S0021-9673(01)01154-2'},{id:"B42",body:'Kanakaraju D, Motti C, Glass B, Oelgemoller M. TiO2 photocatalysis of naproxen: Effect of the water matrix, anions and diclofenac on degradation rates. Chemosphere. 2015;193:579-588. DOI: 10.1016/j.chemosphere.2015.07.070'},{id:"B43",body:'Jallouli N, Elghniji K, Hentati O, Ribeiro A, Silva A, Ksibi M. UV and solar photo-degradation of naproxen: TiO2 catalyst effect, reaction kinetics, products identification and toxicity assessment. Journal of Hazardous Materials. 2016;304:329-336. DOI: 10.1016/j.jhazmat.2015.10.045'},{id:"B44",body:'Ghauch A, Muthanna A, Kibbi N. Naproxen abatement by thermally activated persulfate in aqueous systems. Chemical Engineering Journal. 2015;279:861-873. DOI: 10.1016/j.cej.2015.05.067'},{id:"B45",body:'Chen C, Yan X, Yoza BA, Zhou T, Li Y, Zhan Y, Wang Q, Li QX. Efficiencies and mechanisms of ZSM5 zeolites loaded with cerium, iron, or manganese oxides for catalytic ozonation of nitrobenzene in water. Science of the Total Environment. 2018;612:1424-1432. DOI: 10.1016/j.scitotenv.2017.09.019'},{id:"B46",body:'Tang Y, Pan Z, Li L. pH-insusceptible cobalt-manganese immobilizing mesoporous siliceous MCM-41 catalyst for ozonation of dimethyl phthalate. Journal of Colloid and Interface Science. 2017;508:196-202. DOI: 10.1016/j.jcis.2017.08.017'},{id:"B47",body:'Li C, Jiang F, Sun D, Qiu B. Catalytic ozonation for advanced treatment of incineration leachate using (MnO2-Co3O4)/AC as a catalyst. Chemical Engineering Journal. 2017;325:624-631. DOI: 10.1016/j.cej.2017.05.124'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Julia Liliana Rodríguez",address:"ozliliana@yahoo.com.mx",affiliation:'
Lab. de Ing. Química Ambiental, ESIQIE-Instituto Politécnico Nacional, Zacatenco, México
Departamento de Bioprocesos, UPIBI-Instituto Politécnico Nacional, Ticoman, México
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1. Introduction
Fish, the first vertebrate group, appeared in evolution after adaptive radiation during the Devonian period, presenting the most successful and diverse group of vertebrates. Importantly, immune organs homologous to those of the mammalian system are found in fish. This population possesses complicated innate immune networks and are the earliest vertebrates that have fully developed both arms of the immune system, i.e., innate and adaptive immunity [1]. Macrophage lineage cells are integral to fish immune responses like any other vertebrate, and hence, recent fish immunology research focuses on fish macrophage biology. Macrophages are one of the most important immune cells that bridge the innate and adaptive immunity. It plays a crucial role in tight regulation of immune response by secreting different immune mediators [2, 3]. Macrophages are present in most animal tissues and play crucial roles in host protection and homeostasis. They are known by different names such as amebocytes, hemocytes, coelomocytes, granulocytes, monocytes, and macrophages, but have similar morphology and comparable functions [4, 5, 6]. Due to whole genome duplication and environmental adaptation, teleost monocyte/macrophages possess a variety of different functions and modulation compared with those of mammals. The basic functions of macrophages are production of cytokines and phagocytosis in vertebrates. Monocytes give rise to macrophages during inflammatory conditions in both mammals and fish [7]. Macrophages play multiple roles in immune system. Macrophages are potent innate immune cells, which exert a crucial antimicrobial defense through phagocytosis and release of different antimicrobial mediators, including reactive oxygen and nitrogen species (ROS and RNS). Additionally, they also serve as professional antigen presenting cells (APCs) to activate the adaptive immune system (T and B cells) [8]. Macrophages pose the phagocytic activity, which is the initial step in the immune response in fish and is the major line of defense for all foreign material, including pathogenic agents [9]. Measurement of macrophage activation serves as a bio-indicator and reveals the impact of environmental stress as well as chemical contamination of the aquatic bodies.
2. Development of macrophages
Teleost blood cell development occurs within primitive waves of hematopoiesis [7]. In mammals, macrophages are predominantly derived from the hematopoietic precursors born in the yolk sac (YS) and the aorta-gonad-mesonephros (AGM) where embryonic and adult hematopoiesis occurs [10, 11, 12, 13, 14]. Likewise, macrophages originate from the rostral blood island (RBI) and ventral wall of dorsal aorta (VDA), the fish hematopoietic tissue equivalent to the mammalian YS and AGM for myelopoiesis, respectively [15, 16, 17, 18, 19]. During primitive hematopoiesis, embryonic mesoderm becomes committed to produce monopotent hematopoietic precursors in the rostral blood island that give rise to macrophages [20, 21, 22]. Following monopoiesis, first multilineage progenitor cells arise, known as erythromyloid progenitors (EMPs), which can develop into both erythroid and myeloid cells. Later, a population of hematopoietic stem cells (HSCs) arises in the AGM. The existence of renal marrow-derived HSCs has been documented in both zebrafish and ginbuna carp [23, 24]. The progenitor cells that are found in the kidney have been shown to be able to differentiate into erythrocytes, lymphocytes, thrombocytes, granulocytes, and monocytes. Monocytes mainly exist in the bone marrow, blood, and spleen. They can differentiate into inflammatory macrophages and dendritic cells during inflammation [25, 26]. Macrophages reside in a variety of tissues including lymphoid and non-lymphoid ones. Until recently, tissue macrophages were believed to arise from circulation monocyte precursors in response to different stimuli [27]. Recent evidence by fate-mapping blood cell lineages suggests that contribution of monocytes is limited in maintaining the population of tissue macrophages. Instead, tissue macrophages are “seeded” during primary haematopoiesis and self-maintain the resident population like that of the mammals [28, 29, 30]. There is a specific group of cytokines that act as hematopoietic group of cytokine, which can regulate the development of multiple cell lineages and can act individually or concurrently to stimulate a specific response. Hematopoietic cytokines are produced by a variety of cell types, which can act in paracrine, endocrine, juxtracrine, or autocrine manner on the target cells for their renewal and development [31, 32]. Cytokine sensitivity is determined by a complex regulatory network, a hematopoietic cytokine may induce different developmental changes in different circumstances. Specific cell lineage can be responsive to certain cytokines.
3. Role of transcription factor in macrophage development
The regulation of hematopoiesis is carried out in and orchestrated manner involving cell-cell and cell-extracellular matrix. Transcription factors play a critical role in determining the fate of development of macrophages. Transcription factors are DNA-binding proteins that recognize specific domains. Improper expression of transcription factors and activity results in serious consequences within the hematopoietic system including inhibition of proliferation [33, 34]. Synergistic interactions between transcription factors are generally required for the activation of specific genes. Apart from that, negative interaction between transcription factors is also necessary for the control of hematopoiesis [31].
3.1 Role of colony-stimulating factor-1
Macrophage colony-stimulating factor-1 (CSF-1) is an important growth and differentiation factor of both fish and mammalian macrophages [35]. The survival, proliferation, differentiation, and functionality of most of the macrophage lineage cells are governed by CSF-1 through binding to its cognate receptor (CSF-1R). CSF-1R is expressed exclusively on committed myeloid precursors and derivative macrophage populations [36, 37, 38, 39, 40, 41, 42]. CSF-1 has recently been identified in several fish species including trout [43], zebrafish [43], and goldfish [43, 44]. Recombinant trout CSF-1 was found to promote the proliferation of trout head kidney leucocytes [43]. Reports suggest that the recombinant goldfish CSF-1 (rg-CSF-1) induced chemotactic response and enhanced antimicrobial functions of macrophages. It plays a central role in regulation of goldfish pro-inflammatory macrophage responses [35]. Many teleost fish species have two distinct CSF-1 genes (CSF-1.1 and CSF-1.2) [43], which happen to work by upregulating pro-inflammatory components [45, 46]. A variety of cytokines can induce the production of CSF-1 by monocytes and macrophages, such as GM-CSF [47], TNF-α [48], IL-1 [49, 50], and INF-γ [51, 52]. The capacity of monocyte/macrophages to produce CSF-1 suggests that these cells can auto-regulate their own proliferation and functions [31]. CSF-1 also stimulates the production of several cytokines including G-CSF, GM-CSF, IL-1, IL-6, IL-8, and TNF-α and interferons [38, 53]. Cyprinid fish produce a soluble CSF-1 receptor (sCSF-1R) that downregulates their pro-inflammatory responses by reducing available soluble CSF-1. The sCSF-1R is produced by mature macrophages and not by monocytes and efficiently removes a variety of inflammatory events including macrophage chemotaxis, phagocytosis, and production of ROS intermediates and recruitment of leukocytes [54]. Circulating CSF-1 can effectively be cleared by the process of CSF-1 receptor-mediated internalization followed by intracellular destruction of the growth factor. Liver and splenic macrophages have been demonstrated to be capable of absorbing approximately 94% of the circulating CSF-1 [55, 56]. Adding CSF-1 to primary cultures has proven to increase the longevity of the cultures and can drive the culture from a heterogeneous population of progenitor monocyte and macrophage cells, toward a homogeneous population of macrophages [57].
4. Activation of macrophages
Macrophage activation occurs under various intracellular as well as environmental influences. Based on the activation cue and the following effector functions, macrophages have been broadly classified in two types: classically activated macrophages (M1) induced in a T helper 1 (TH1) cytokine environment and alternatively activated macrophages (M2) induced in a T helper 2 (TH2) cytokine environments [58]. In a different terminology, M1 macrophages have been termed to be “inflammatory,” whereas M2 macrophages have been termed to be “healing” in nature. There have been studies indicating four different phenotypes of macrophages, which are innate activated, classically activated, and alternatively activated and regulatory macrophages. Classically activated macrophages present higher respiratory burst activity and iNOS expression as compared with innate activated macrophages [59]. Macrophages that are activated by microbial stimulus and innate danger signals without any influence of adaptive immune cells lead to the formation of the M1 population [5, 59]. M2 macrophages that form in the presence of TH2 cytokines can again be classified into three groups: activated by IL-4/IL-13 or M2a macrophages [60], stimulated by Toll-like receptor (TLR) ligands in combination with second signal or M2b, developed in response to IL-10 or M2c [60].
4.1 M1 macrophage activation
Innate activation of M1 macrophages is induced by microbial stimulus, which can be detected by various receptors on the macrophage surface [61]. These microbial stimuli can activate macrophages through a large array of pattern recognition receptors (PRRs) [62]. Fish species poses a wide variety of PRRs both putative mammalian orthologues and fish-specific family members [63] and can be activated in the absence of exogenous cytokines. M1 macrophages are induced by pathogen associated molecular patterns (PAMPs) such as lipopolysaccharides (LPSs), a major component of outer membrane of Gram-negative bacteria [5, 6]. A number of publications show that in vitro stimulation of fish macrophages with LPS leads to increased respiratory burst activity and increased secretion of pro-inflammatory cytokines [64]. Classically activated macrophages require a microbial stimulus plus the presence of the cytokine INFγ (Figure 1) [65]. INFγ has been sequenced in fugu [66], rainbow trout [67], zebrafish [68], Atlantic salmon [69], catfish [70], common carp [71], goldfish [72], Atlantic cod [73], and flounder [74]. Certain fish species possess two distinct types of INFs. Both the isoforms, initially named INFγ1 and INFγ2, contain typical INFγ motifs and are now referred to as INFγ- related (INFγrel) and INFγ, respectively [75]. In carp and in grass carp, both isoforms are regulated by different stimuli [71, 76], in vivo bacterial infection in zebrafish embryo indicated that INFγ and INFγrel act partly redundantly, they have largely overlapping functions [77]. Goldfish INFγrel induced significantly higher phagocytosis and nitrite production in monocytes and macrophages, respectively, when compared with INFγ [72]. Research studies suggest that most probably INFγrel proteins are antiviral proteins without direct effects on M1/M2 polarization in fish [78]. It is particularly notable that certain teleosts possess two INFγ-receptor-binding chains (IFNGR1-1 and IFNGR1-2) in comparison to other vertebrates that have a single INFγ receptor 1 (INFGR1) [72, 79, 80]. These suggest that fish have adopted very unique strategies surrounding their M1 activation cytokine system. INFγ as a combination stimulus with LPS induces inflammatory M1 population. These macrophages show higher respiratory burst activity and nitric oxide synthase expression [62].
Figure 1.
M1 and M2 macrophage activation.
Classically activated macrophages are induced by a combination of INFγ and TNFα [81, 82]. Like its mammalian counterpart, teleost TNFα is one of the markers of M1 macrophages [83, 84]. Multiple isoforms of TNFα have been found in a variety of fishes. These isoforms have been shown to enhance inflammatory gene expressions, macrophage chemotaxis, and phagocytosis [85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96]. Functional evaluation of fish TNFα has discovered some contradictory results. In some fish species, recombinant TNFα (rTNFα) was found to hardly activate macrophages [97, 98, 99], whereas the trout and goldfish TNFα1 and 2 are shown to be active in macrophages [87, 100]. Two different TNF receptors have been found in goldfish, namely TNF-R1 and TNF-R2, which bind the goldfish TNFα1 and TNFα2 in a homodimeric conformation unlike the trimeric conformations of mammalian TNF ligands and receptors [101]. The bacterial LPS readily induces the TNFα gene expression, which in turn plays a major role in polarizing the macrophages [99, 102]. From different studies it is clearly understood that fish possess a well-defined M1 polarization upon microbial stimuli.
4.2 M2 macrophage activation
M2 macrophages also known as alternatively activated macrophages can be generally characterized as having “anti-inflammatory” or “pro-healing” phenotypes (Figure 1) when developed in the presence of TH2 cytokines IL-4 and/or IL-13 [103]. To date, at least two genes have been identified in fish that share homology with both the mammalian IL-4 and IL-13 cytokines (IL-4/13A and IL-4/13B) [104] even though variable number of copies of these genes are present in different fish due to genome duplication events [105]. Of the two may be IL-4/13A shows complete synteny with other genes in TH2 cytokine complex [106]. There is a common homodimeric receptor subunit called IL-4Rα for both cytokines (IL-4 and IL-13) found in mammalian vertebrates [107], paralogues of which, IL-13Rα1 and IL-13Rα2, have also been identified in teleosts [108, 109]. Teleost recombinant IL-4/13A and IL-4/13B have anti-inflammatory roles including upregulation of immunosuppressive genes (TGF-β, IL-10, SAP1, and SOC3) and downregulation of pro-inflammatory cytokine gene expressions (TNFα, IL-1β, and INFγ) [110, 111, 112]. These M2 macrophages show increased arginase activity. In M1 macrophage, the iNOS enzyme converts L-arginine to L-cutrulin and NO. By contrast, in M2 macrophages, the enzyme arginase, a manganese metallo-enzyme, converts L-arginine to L-ornithine and urea [113, 114]. Mammals possess two arginase isoforms including arginase-1 located in cytosol and arginase-2 located in mitochondria [115]. Teleosts possess both the forms arginase-1 and arginase-2, which are found to be mitochondrial forms unlike that of their vertebrate counterparts. In carp, arginase-1 gene expression was found mainly in the mid kidney, whereas arginase-2 expression was found in all organs with the liver having the maximum expression [116]. Under stimulation of exogenous cAMP, carp head kidney-derived macrophages show upregulation of arginase-2 but not arginase-1 expression, suggesting that arginase-2 might be an excellent marker of M2 macrophages in fish.
M2 macrophages that are deactivated by glucocorticoids or by cytokines such as TGF-β or IL-10 are also referred to as regulatory macrophages. Glucocorticoids diffuse across plasma membrane and alter the expression of immune-related genes [60]. It has been shown to be a strong inhibitor of NO production in goldfish macrophages [117] and increases fish susceptibility to diseases due to its immunosuppressive nature [118, 119, 120]. Grass carp recombinant IL-10 and recombinant TGF-β1 have found to attenuate LPS-stimulated inflammatory gene expressions in monocyte/macrophages [121]. The goldfish TGFβ downregulates the nitric oxide response of TNFα-activated macrophages [122]. Mammalian IL-10 functions through IL-10R1 and IL-10R2 leading to activation of STAT3 [123]. Similar to mammalian IL-10, carp IL-10 acts through a signaling pathway involving phosphorylation of STAT3 and leading to upregulation of SOCS-3 expression [124]. An IL-10R1 has been found in zebrafish, goldfish, and grass carp [125, 126], whereas IL-10R2 has been found in rainbow trout [127]. These cytokines demonstrate an evolutionary conserved role in fish immunology.
5. Function of macrophages
Macrophages and monocytes serve as professional phagocytes in fish [128]. Phagocytosis is a specific type of endocytic process by which cell engulfs solid particulate targets. These solid particles (including microbial pathogens) are internalized to form phagolysosome followed by antigen degradation [129, 130, 131, 132]. Phagocytosis plays an essential role of linking the innate and adaptive immune response in vertebrates. It is well established that fish have both the innate and adaptive immune system in which macrophages happen to play a crucial role. The phagocytic mechanism depends on recognition of the foreign particle by cell surface receptors and killing by oxygen radicals [133, 134]. Phagocytosis plays a crucial role in the macrophage inflammatory immune response through hydrophobic interaction between the phagocytic membrane and the target particles. The multiple receptors present on the phagocyte can recognize their targets coated with opsonin molecules and form the phagosome by engulfing them [135]. Lysosome then fuses with the phagosome to form the phagolysosome, the vesicles in which the internalized microbes would be killed and degraded. Potent antimicrobial compounds including degradative enzymes (proteases, nucleases, phosphatases, lipases) and antimicrobial peptides (basic proteins and neutrophilic peptides) are generated by active phagocytes, which help in destruction of the phagocytosed pathogens [136, 137, 138, 139, 140, 141]. Both M1 and M2-type macrophages form phagolysosomes. Reports suggest that M1 macrophages form a phagosome with relatively neutral pH as compared with M2 macrophages that form phagosomes with acidic pH [142]. Macrophages are known to be “professional” phagocytes along with polymorphonuclear cells (PMNs), monocytes, and dendritic cells in vertebrates. Apart from this, some “amateur” phagocytic cells (epithelial cells, fibroblasts, and B lymphocytes) show a lower degree phagocytic activity [129, 143]. Research suggests that succinate is critical in controlling phagocytosis in macrophages. Exogenous methyl-succinate was found to enhance phagocytosis, pro-inflammatory cytokine production, and expression of phagocytic genes [46].
The destruction of the internalized microorganism occurs by robust production of ROS (reactive oxygen species) by active macrophages. The multi-component enzyme NADPH assembles on the phagosome membrane during macrophage respiratory burst, which transfers electrons from NADPH to molecular oxygen-producing superoxide anion [144]. The functional sites of fish and mammalian NADPH oxidase are highly conserved. All of the components of NADPH oxidase have been found in teleosts, and fish ROS generation has been well documented following PAMP stimulation [145, 146, 147, 148] and antimicrobial responses [149, 150].
Classically activated M1 macrophages abundantly express high levels of inducible nitric oxide synthase enzyme iNOS, which catalyze the conversion of L-arginine to L-citruline, resulting in the production of nitric oxide (NO) [151]. iNOS serves as a marker of M1 macrophage and is upregulated in response to INFγ, TNFα, and microbial compounds [82]. The fish iNOS has been characterized with marked similarity to the mammalian enzyme counterpart. The fish iNOS gene expression is induced by antimicrobial and inflammatory stimuli including cleaved transferring products [152, 153]. iNOS plays an important role in protection of fish from a variety of pathogens.
Another hallmark of M1 macrophages is upregulation of the expression of indoleamine2,3-dioxygenase (IDO) enzyme that depletes local tryptophan levels [154]. Tryptophan degradation produces certain metabolites that may inhibit T cell proliferation. Teleost IDO is less effective in tryptophan degradation as compared with their mammalian counterparts [155].
6. Conclusion
Teleosts are found throughout the world and are highly susceptible to variations caused by natural as well as man-made external changes, which affect their immune system. Macrophages are one of the basic immune cells found in teleosts like their mammalian counterparts, which play a crucial role in bridging the innate and adaptive immunity in fish. Macrophages of teleost fish exhibit many functions from that of homeostasis to host immune defense. They possess the phagocytic activity, which is initial step of defense in fish immunity. Measurement of macrophage activation serves as a bioindicator of fish health. Teleosts have shown to have different macrophage polarizations (M1 and M2) pathways under different stimuli, which provides a great support in understanding the evolutionary development of fish immune system. Despite having multiple isoforms of key macrophage cytokines in fish, functional studies of these have been limited. Whole-genome duplication events are responsible for the availability of multiple isoforms of immune mediators in different fish [156]. A greater understanding of teleost macrophages and their function with growing genetic resources would help widely in deciphering the minutes of fish immune system and its evolutionary linkage with that of their mammalian counterparts.
Acknowledgments
RS is thankful to the Council of Scientific and Industrial Research (CSIR), Human Resource Development Group, Govt. of India for her NET-SRF fellowship (Grant No. 09/202(0078)/2018-EMR-I). The author is thankful to Prof. Dipak Kumar Mandal for his guidance and support and to Monisha Das and Nibedita Sharma for their constant encouragement.
Conflict of interest
The author declares no conflict of interest.
Note/thanks/other declarations
The author thanks the Head of the Department of Zoology, for providing the assistance in the research work.
\n',keywords:"inflammatory response, cytokine production, macrophages, phagocytosis, teleost",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/80956.pdf",chapterXML:"https://mts.intechopen.com/source/xml/80956.xml",downloadPdfUrl:"/chapter/pdf-download/80956",previewPdfUrl:"/chapter/pdf-preview/80956",totalDownloads:17,totalViews:0,totalCrossrefCites:0,dateSubmitted:"February 4th 2022",dateReviewed:"February 18th 2022",datePrePublished:"March 24th 2022",datePublished:null,dateFinished:"March 24th 2022",readingETA:"0",abstract:"Fish, the free-living organisms, residing in aquatic environment, are earliest vertebrates with fully developed innate and adaptive immunity. Immune organs homologous to those of mammalian immune system are found in fish. Macrophages are best known for their role in immunity, basic function of which being cytokine production and phagocytosis. Due to environmental adaptation and whole genome duplication, macrophages in teleost are differently modulated (pro-inflammatory, M1-type, and anti-inflammatory/regulatory, M2-type) and perform a variety of different functions as compared with those of mammals. Phagocytosis is a major mechanism for removing pathogens and/or foreign particles in immune system and therefore is a critical component of the innate and adaptive immune system. One of the most competent phagocytes in teleost is found to be macrophages/monocytes. Increasing experimental evidence demonstrates that teleost phagocytic cells can recognize and destroy antigens to elicit adaptive immune responses that involve multiple cytokines. A detail understanding of teleost macrophages and phagocytosis would not only help in understanding the immune mechanism but will also help in disease prevention in teleost.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/80956",risUrl:"/chapter/ris/80956",signatures:"Ragini Sinha",book:{id:"11277",type:"book",title:"Macrophages -140 Years of Their Discovery",subtitle:null,fullTitle:"Macrophages -140 Years of Their Discovery",slug:null,publishedDate:null,bookSignature:"Dr. Vijay Kumar",coverURL:"https://cdn.intechopen.com/books/images_new/11277.jpg",licenceType:"CC BY 3.0",editedByType:null,isbn:"978-1-80355-625-3",printIsbn:"978-1-80355-624-6",pdfIsbn:"978-1-80355-626-0",isAvailableForWebshopOrdering:!0,editors:[{id:"63844",title:"Dr.",name:"Vijay",middleName:null,surname:"Kumar",slug:"vijay-kumar",fullName:"Vijay Kumar"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:null,sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Development of macrophages",level:"1"},{id:"sec_3",title:"3. Role of transcription factor in macrophage development",level:"1"},{id:"sec_3_2",title:"3.1 Role of colony-stimulating factor-1",level:"2"},{id:"sec_5",title:"4. Activation of macrophages",level:"1"},{id:"sec_5_2",title:"4.1 M1 macrophage activation",level:"2"},{id:"sec_6_2",title:"4.2 M2 macrophage activation",level:"2"},{id:"sec_8",title:"5. Function of macrophages",level:"1"},{id:"sec_9",title:"6. Conclusion",level:"1"},{id:"sec_10",title:"Acknowledgments",level:"1"},{id:"sec_13",title:"Conflict of interest",level:"1"},{id:"sec_10",title:"Note/thanks/other declarations",level:"1"}],chapterReferences:[{id:"B1",body:'Zhu L, Nie L, Zhu G, Xiang L, Shao J. Advances in research of fish immune-relevant genes: A comparative overview of innate and adaptive immunity in teleosts. Developmental and Comparative Immunology. 2013;39:39-62. 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DOI: 10.1016/j.fsi.2004.03.001'},{id:"B154",body:'Taylor MW, Feng GS. Relationship between interferon-gamma, indoleamine 2,3-dioxygenase, and tryptophan catabolism. The FASEB Journal. 1991;5:2516-2522. DOI: 10.1096/fasebj.5.11.1907934'},{id:"B155",body:'Yuasa HJ, Takubo M, Takahashi A, Hasegawa T, Noma H, Suzuki T. Evolution of vertebrate indoleamine 2,3-dioxygenases. The Journal of Molecular Evolution. 2007;65:705-714. DOI: 10.1007/s00239-007-9049-1'},{id:"B156",body:'MacKintosh C, Ferrier DEK. Recent advances in understanding the roles of whole genome duplications in evolution. F1000 Research. 2017;6:1623'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Ragini Sinha",address:"raginniissinha5@gmail.com",affiliation:'
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This chapter explains how artificial intelligence and blockchain can affect the Metaverse.",book:{id:"10394",slug:"advances-in-the-convergence-of-blockchain-and-artificial-intelligence",title:"Advances in the Convergence of Blockchain and Artificial Intelligence",fullTitle:"Advances in the Convergence of Blockchain and Artificial Intelligence"},signatures:"Hyun-joo Jeon, Ho-chang Youn, Sang-mi Ko and Tae-heon Kim",authors:[{id:"342782",title:"M.A.",name:"Hyun-joo",middleName:null,surname:"Jeon",slug:"hyun-joo-jeon",fullName:"Hyun-joo Jeon"},{id:"343117",title:"BSc.",name:"Ho-chang",middleName:null,surname:"Youn",slug:"ho-chang-youn",fullName:"Ho-chang Youn"},{id:"425798",title:"Dr.",name:"Sang-mi",middleName:null,surname:"Ko",slug:"sang-mi-ko",fullName:"Sang-mi Ko"},{id:"425799",title:"Dr.",name:"Tae-heon",middleName:null,surname:"Kim",slug:"tae-heon-kim",fullName:"Tae-heon Kim"}]},{id:"65993",title:"Automatic Speech Emotion Recognition Using Machine Learning",slug:"automatic-speech-emotion-recognition-using-machine-learning",totalDownloads:4556,totalCrossrefCites:21,totalDimensionsCites:42,abstract:"This chapter presents a comparative study of speech emotion recognition (SER) systems. 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This study shows that for Berlin database all classifiers achieve an accuracy of 83% when a speaker normalization (SN) and a feature selection are applied to the features. For Spanish database, the best accuracy (94 %) is achieved by RNN classifier without SN and with FS.",book:{id:"8141",slug:"social-media-and-machine-learning",title:"Social Media and Machine Learning",fullTitle:"Social Media and Machine Learning"},signatures:"Leila Kerkeni, Youssef Serrestou, Mohamed Mbarki, Kosai Raoof, Mohamed Ali Mahjoub and Catherine Cleder",authors:[{id:"247090",title:"Ph.D. Student",name:"Leila",middleName:null,surname:"Kerkeni",slug:"leila-kerkeni",fullName:"Leila Kerkeni"}]},{id:"63164",title:"Introduction to Kalman Filter and Its Applications",slug:"introduction-to-kalman-filter-and-its-applications",totalDownloads:10759,totalCrossrefCites:22,totalDimensionsCites:59,abstract:"We provide a tutorial-like description of Kalman filter and extended Kalman filter. This chapter aims for those who need to teach Kalman filters to others, or for those who do not have a strong background in estimation theory. Following a problem definition of state estimation, filtering algorithms will be presented with supporting examples to help readers easily grasp how the Kalman filters work. Implementations on INS/GNSS navigation, target tracking, and terrain-referenced navigation (TRN) are given. In each example, we discuss how to choose, implement, tune, and modify the algorithms for real world practices. Source codes for implementing the examples are also provided. In conclusion, this chapter will become a prerequisite for other contents in the book.",book:{id:"7466",slug:"introduction-and-implementations-of-the-kalman-filter",title:"Introduction and Implementations of the Kalman Filter",fullTitle:"Introduction and Implementations of the Kalman Filter"},signatures:"Youngjoo Kim and Hyochoong Bang",authors:null},{id:"53334",title:"Cloud Computing for Next-Generation Sequencing Data Analysis",slug:"cloud-computing-for-next-generation-sequencing-data-analysis",totalDownloads:4291,totalCrossrefCites:6,totalDimensionsCites:13,abstract:"High-throughput next-generation sequencing (NGS) technologies have evolved rapidly and are reshaping the scope of genomics research. The substantial decrease in the cost of NGS techniques in the past decade has led to its rapid adoption in biological research and drug development. Genomics studies of large populations are producing a huge amount of data, giving rise to computational issues around the storage, transfer, and analysis of the data. Fortunately, cloud computing has recently emerged as a viable option to quickly and easily acquire the computational resources for large-scale NGS data analyses. Some cloud-based applications and resources have been developed specifically to address the computational challenges of working with very large volumes of data generated by NGS technology. In this chapter, we will review some cloud-based systems and solutions for NGS data analysis, discuss the practical hurdles and limitations in cloud computing, including data transfer and security, and share the lessons we learned from the implementation of Rainbow, a cloud-based tool for large-scale genome sequencing data analysis.",book:{id:"5416",slug:"cloud-computing-architecture-and-applications",title:"Cloud Computing",fullTitle:"Cloud Computing - Architecture and Applications"},signatures:"Shanrong Zhao, Kirk Watrous, Chi Zhang and Baohong Zhang",authors:[{id:"176364",title:"Dr.",name:"Shanrong",middleName:null,surname:"Zhao",slug:"shanrong-zhao",fullName:"Shanrong Zhao"}]}],onlineFirstChaptersFilter:{topicId:"9",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"81877",title:"Genetic Algorithms for Chemical Engineering Optimization Problems",slug:"genetic-algorithms-for-chemical-engineering-optimization-problems",totalDownloads:7,totalDimensionsCites:0,doi:"10.5772/intechopen.104884",abstract:"Chemical engineering processes are frequently composed of multiple complex phenomena. These systems can be represented by a set of several equations, which are referred to as mathematical model of the process. Optimization in chemical engineering utilizes specialized techniques to determine the values of the decision variables at which the performance of the process, measured as the objective function(s), is minimum or maximum. The profitability of the process improves remarkably as a result of this selection. This benefit has encouraged the broad application of optimization for important industrial challenges. However, many problems in chemical engineering processes are hard to find the optimum using gradient-based algorithms. For example, the cases when the objective functions of the processes are multimodal, discontinuous, or implicit. Genetic algorithms (GAs) are a kind of metaheuristic searching optimization methods, which are inspired by nature, the mechanics of natural evolution and genetics. Genetic algorithms have received significant attention due to their remarkable advantages over classical algorithms. Compared with traditional optimization approaches, GAs are straightforward, robust, capable of handling the non-differentiable, discontinuous, or multimodal problems. The purpose of this paper is to give several case studies using genetic algorithms in chemical engineering optimization problems.",book:{id:"10694",title:"Genetic Algorithms",coverURL:"https://cdn.intechopen.com/books/images_new/10694.jpg"},signatures:"Nguyen Tuan-Anh and Nguyen Thi Anh-Nga"},{id:"81827",title:"Perspective Chapter: The Importance of Pipeline in Modern Cryptosystem",slug:"perspective-chapter-the-importance-of-pipeline-in-modern-cryptosystem",totalDownloads:5,totalDimensionsCites:0,doi:"10.5772/intechopen.102983",abstract:"In this digital world, all the digital information transmitted through the wireless channel has a threat to its security. Along with security, encryption speed is also a significant factor in transmitting the data as fast as possible. The pipeline is the technique used to improve the throughput of the encryption process so that the amount of data encrypted per unit time will be increased. In this chapter, the design of the modern SMS4-BSK cryptosystem is briefed, various pipeline designs of SMS4 algorithms are surveyed and the pipeline implementation on SMS4-BSK cryptosystem is analyzed. The SMS4-BSK cryptosystem is robust, fast and has a throughput of 7.4 Gbps. This modern cryptosystem can resist all kinds of cryptanalysis attacks. The pipelining technique is implemented in this cryptosystem to improve the throughput further. The pipelining method is applied in the encryption architecture of the cryptosystem. The pipelined design is implemented in Kintex-7 FPGA. The design achieved a throughput of 9.9 Gbps. The pipeline implementation can be extended to the key scheduling architecture also as both the encryption and the key scheduling use the same architecture. As per the SMS4-BSK algorithm, the keys are generated in the host system to improve the throughput.",book:{id:"11190",title:"Cryptography - Modern Theory and Practices",coverURL:"https://cdn.intechopen.com/books/images_new/11190.jpg"},signatures:"Babu M, Sathish Kumar G.A, Gurumurthy J. and Josephine Shermila P."},{id:"81791",title:"Self-Supervised Contrastive Representation Learning in Computer Vision",slug:"self-supervised-contrastive-representation-learning-in-computer-vision",totalDownloads:11,totalDimensionsCites:0,doi:"10.5772/intechopen.104785",abstract:"Although its origins date a few decades back, contrastive learning has recently gained popularity due to its achievements in self-supervised learning, especially in computer vision. Supervised learning usually requires a decent amount of labeled data, which is not easy to obtain for many applications. With self-supervised learning, we can use inexpensive unlabeled data and achieve a training on a pretext task. Such a training helps us to learn powerful representations. In most cases, for a downstream task, self-supervised training is fine-tuned with the available amount of labeled data. In this study, we review common pretext and downstream tasks in computer vision and we present the latest self-supervised contrastive learning techniques, which are implemented as Siamese neural networks. Lastly, we present a case study where self-supervised contrastive learning was applied to learn representations of semantic masks of images. Performance was evaluated on an image retrieval task and results reveal that, in accordance with the findings in the literature, fine-tuning the self-supervised training showed the best performance.",book:{id:"11442",title:"Pattern Recognition - New Insights",coverURL:"https://cdn.intechopen.com/books/images_new/11442.jpg"},signatures:"Yalin Bastanlar and Semih Orhan"},{id:"81745",title:"Hybrid Genetic Algorithms",slug:"hybrid-genetic-algorithms",totalDownloads:6,totalDimensionsCites:0,doi:"10.5772/intechopen.104735",abstract:"Hybrid optimization methods have known significant interest in recent years and are being growingly used to solve complex problems in science and engineering. For instance, the famous evolutionary Genetic Algorithm can integrate other techniques within its framework to produce a hybrid global algorithm that takes advantages of that combination and overcomes the disadvantages. Several forms of integration between Genetic Algorithms and other search and optimization techniques exist. This chapter aims to review that and present the design of a hybrid Genetic Algorithm incorporating another local optimization technique while recalling the main local search methods and emphasizing the different approaches for employing their information. A test case from the aerospace field is presented where a hybrid genetic algorithm is proposed for the mechanical sizing of a composite structure located in the upper part of a launcher.",book:{id:"10653",title:"Optimization Algorithms",coverURL:"https://cdn.intechopen.com/books/images_new/10653.jpg"},signatures:"Leila Gharsalli"},{id:"79345",title:"Application of Jump Diffusion Models in Insurance Claim Estimation",slug:"application-of-jump-diffusion-models-in-insurance-claim-estimation-1",totalDownloads:2,totalDimensionsCites:0,doi:"10.5772/intechopen.99853",abstract:"We investigated if general insurance claims are normal or rare events through systematic, discontinuous or sporadic jumps of the Brownian motion approach and Poisson processes. Using firm quarterly data from March 2010 to December 2018, we hypothesized that claims with high positive (negative) slopes are more likely to have large positive (negative) jumps in the future. As such, we expected salient properties of volatile jumps on the written products/contracts. We found that insurance claims for general insurance quoted products cease to be normal. There exist at times some jumps, especially during holidays and weekends. Such jumps are not healthy to the capital structures of firms, as such they need attention. However, it should be noted that gaps or jumps (unless of specific forms) cannot be hedged by employing internal dynamic adjustments. This means that, jump risk is non-diversifiable and such jumps should be given more attention.",book:{id:"10820",title:"Data Clustering",coverURL:"https://cdn.intechopen.com/books/images_new/10820.jpg"},signatures:"Leonard Mushunje, Chiedza Elvina Mashiri, Edina Chandiwana and Maxwell Mashasha"},{id:"81690",title:"Your Vital Signs as Your Password?",slug:"your-vital-signs-as-your-password",totalDownloads:3,totalDimensionsCites:0,doi:"10.5772/intechopen.104783",abstract:"Cognitive biometrics (vital signs) indicate the individual’s authentication using his/her mental and emotional status specifically, electrocardiogram (ECG) and electroencephalogram (EEG). The motivation behind cognitive biometrics is their uniqueness, their absolute universality in each living individual, and their resistance toward spoofing and replaying attacks in addition to their indication of life. This chapter investigates the ability to use the vital sign as unimodal authentication in its status by surveying the recent techniques, their requirements and limitation, and whether it is ready to be used in the real market or not. Our observations state—that the vital signs can be considered as a PASSWORD due to their uniqueness, but it needs more improvements to be deployed to the market.",book:{id:"11195",title:"Recent Advances in Biometrics",coverURL:"https://cdn.intechopen.com/books/images_new/11195.jpg"},signatures:"Hind Alrubaish and Nazar Saqib"}],onlineFirstChaptersTotal:98},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:87,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:98,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:287,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:139,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:0,numberOfUpcomingTopics:2,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!1},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:10,numberOfPublishedChapters:103,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:12,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:0,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!1},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:10,numberOfOpenTopics:4,numberOfUpcomingTopics:1,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:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983",scope:"Biochemistry, the study of chemical transformations occurring within living organisms, impacts all areas of life sciences, from molecular crystallography and genetics to ecology, medicine, and population biology. Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. 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"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:9,paginationItems:[{id:"14",title:"Cell and Molecular Biology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",slug:"rosa-maria-martinez-espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",biography:"Dr. Rosa María Martínez-Espinosa has been a Spanish Full Professor since 2020 (Biochemistry and Molecular Biology) and is currently Vice-President of International Relations and Cooperation development and leader of the research group 'Applied Biochemistry” (University of Alicante, Spain). Other positions she has held at the university include Vice-Dean of Master Programs, Vice-Dean of the Degree in Biology and Vice-Dean for Mobility and Enterprise and Engagement at the Faculty of Science (University of Alicante). She received her Bachelor in Biology in 1998 (University of Alicante) and her PhD in 2003 (Biochemistry, University of Alicante). She undertook post-doctoral research at the University of East Anglia (Norwich, U.K. 2004-2005; 2007-2008).\nHer multidisciplinary research focuses on investigating archaea and their potential applications in biotechnology. She has an H-index of 21. She has authored one patent and has published more than 70 indexed papers and around 60 book chapters.\nShe has contributed to more than 150 national and international meetings during the last 15 years. Her research interests include archaea metabolism, enzymes purification and characterization, gene regulation, carotenoids and bioplastics production, antioxidant\ncompounds, waste water treatments, and brines bioremediation.\nRosa María’s other roles include editorial board member for several journals related\nto biochemistry, reviewer for more than 60 journals (biochemistry, molecular biology, biotechnology, chemistry and microbiology) and president of several organizing committees in international meetings related to the N-cycle or respiratory processes.",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",slug:"ana-isabel-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",slug:"christian-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",slug:"francisco-javier-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",coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",slug:"sukru-beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",biography:"Dr. Şükrü Beydemir obtained a BSc in Chemistry in 1995 from Yüzüncü Yıl University, MSc in Biochemistry in 1998, and PhD in Biochemistry in 2002 from Atatürk University, Turkey. He performed post-doctoral studies at Max-Planck Institute, Germany, and University of Florence, Italy in addition to making several scientific visits abroad. He currently works as a Full Professor of Biochemistry in the Faculty of Pharmacy, Anadolu University, Turkey. Dr. Beydemir has published over a hundred scientific papers spanning protein biochemistry, enzymology and medicinal chemistry, reviews, book chapters and presented several conferences to scientists worldwide. He has received numerous publication awards from various international scientific councils. He serves in the Editorial Board of several international journals. 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He is a member of the Turkish Biochemical Society, American Chemical Society, and German Genetics society. Dr. Ekinci published around ninety scientific papers, reviews and book chapters, and presented several conferences to scientists. He has received numerous publication awards from several scientific councils. 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He was associate professor at the University of Limoges (1987) before becoming full professor of biochemistry at the Université d’Artois (1996). He worked on the structure-function relationships of glycoconjugates and his main project was the investigations on the biological roles of the de-N-glycosylation enzymes (Endo-N-acetyl-β-D-glucosaminidase and peptide-N4-(N-acetyl-β-glucosaminyl) asparagine amidase). From 2002 he contributes to the understanding of the Blood-brain barrier functioning using proteomics approaches. He has published more than 70 papers. 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Since 1995, he has been working on: i) the determination in biological fluids (serum, urine, bronchoalveolar lavage, sputum) of proteolytic activities involved in the degradation processes of connective tissue matrix, and ii) on the identification of biological markers of lung diseases. In this context, he has developed and validated new methodologies (e.g., Capillary Electrophoresis coupled to Laser-Induced Fluorescence, CE-LIF) whose application enabled him to determine both the amounts of biochemical markers (Desmosines) in urine/serum of patients affected by Chronic Obstructive Pulmonary Disease (COPD) and the activity of proteolytic enzymes (Human Neutrophil Elastase, Cathepsin G, Pseudomonas aeruginosa elastase) in sputa of these patients. More recently, Prof. Iadarola was involved in developing techniques such as two-dimensional electrophoresis coupled to liquid chromatography/mass spectrometry (2DE-LC/MS) for the proteomic analysis of biological fluids aimed at the identification of potential biomarkers of different lung diseases. He is the author of about 150 publications (According to Scopus: H-Index: 23; Total citations: 1568- According to WOS: H-Index: 20; Total Citations: 1296) of peer-reviewed international journals. He is a Consultant Reviewer for several journals, including the Journal of Chromatography A, Journal of Chromatography B, Plos ONE, Proteomes, International Journal of Molecular Science, Biotech, Electrophoresis, and others. 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She gained considerable experience in developing and validating new methodologies whose applications allowed her to determine both the amount of biomarkers (Desmosine and Isodesmosine) in the urine of patients affected by COPD, and the activity of proteolytic enzymes (HNE, Cathepsin G, Pseudomonas aeruginosa elastase) in the sputa of these patients. Simona Viglio was also involved in research dealing with the supplementation of amino acids in patients with brain injury and chronic heart failure. She is presently engaged in the development of 2-DE and LC-MS techniques for the study of proteomics in biological fluids. The aim of this research is the identification of potential biomarkers of lung diseases. 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He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:null},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:"Polytechnic University of Timişoara",institution:{name:"Polytechnic University of Timişoara",country:{name:"Romania"}}},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:null},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"302698",title:"Dr.",name:"Yao",middleName:null,surname:"Shan",slug:"yao-shan",fullName:"Yao Shan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Dalian University of Technology",country:{name:"China"}}},{id:"125911",title:"Prof.",name:"Jia-Ching",middleName:null,surname:"Wang",slug:"jia-ching-wang",fullName:"Jia-Ching Wang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Central University",country:{name:"Taiwan"}}},{id:"357085",title:"Mr.",name:"P. 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Shukla",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356823",title:"MSc.",name:"Seonghee",middleName:null,surname:"Min",slug:"seonghee-min",fullName:"Seonghee Min",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Daegu University",country:{name:"Korea, South"}}},{id:"353307",title:"Prof.",name:"Yoosoo",middleName:null,surname:"Oh",slug:"yoosoo-oh",fullName:"Yoosoo Oh",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:"Yoosoo Oh received his Bachelor's degree in the Department of Electronics and Engineering from Kyungpook National University in 2002. He obtained his Master’s degree in the Department of Information and Communications from Gwangju Institute of Science and Technology (GIST) in 2003. In 2010, he received his Ph.D. degree in the School of Information and Mechatronics from GIST. In the meantime, he was an executed team leader at Culture Technology Institute, GIST, 2010-2012. In 2011, he worked at Lancaster University, the UK as a visiting scholar. In September 2012, he joined Daegu University, where he is currently an associate professor in the School of ICT Conver, Daegu University. Also, he served as the Board of Directors of KSIIS since 2019, and HCI Korea since 2016. From 2017~2019, he worked as a center director of the Mixed Reality Convergence Research Center at Daegu University. From 2015-2017, He worked as a director in the Enterprise Supporting Office of LINC Project Group, Daegu University. His research interests include Activity Fusion & Reasoning, Machine Learning, Context-aware Middleware, Human-Computer Interaction, etc.",institutionString:null,institution:{name:"Daegu Gyeongbuk Institute of Science and Technology",country:{name:"Korea, South"}}},{id:"262719",title:"Dr.",name:"Esma",middleName:null,surname:"Ergüner Özkoç",slug:"esma-erguner-ozkoc",fullName:"Esma Ergüner Özkoç",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Başkent University",country:{name:"Turkey"}}},{id:"346530",title:"Dr.",name:"Ibrahim",middleName:null,surname:"Kaya",slug:"ibrahim-kaya",fullName:"Ibrahim Kaya",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"419199",title:"Dr.",name:"Qun",middleName:null,surname:"Yang",slug:"qun-yang",fullName:"Qun Yang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Auckland",country:{name:"New Zealand"}}},{id:"351158",title:"Prof.",name:"David W.",middleName:null,surname:"Anderson",slug:"david-w.-anderson",fullName:"David W. 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\r\n\tThe integration of tissues and organs throughout the mammalian body, as well as the expression, structure, and function of molecular and cellular components, is essential for modern physiology. The following concerns will be addressed in this Cell Physiology subject, which will consider all organ systems (e.g., brain, heart, lung, liver; gut, kidney, eye) and their interactions: (1) Neurodevelopment and Neurodevelopmental Disease (2) Free Radicals (3) Tumor Metastasis (4) Antioxidants (5) Essential Fatty Acids (6) Melatonin and (7) Lipid Peroxidation Products and Aging Physiology.
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He is Member ofthe National Research Council (CONICET), Argentina, and Argentine Society foBiochemistry and Molecular Biology (SAIB). His laboratory has been interested for manyears in the lipid peroxidation of biological membranes from various tissues and different species. Professor Catalá has directed twelve doctoral theses, publishedover 100 papers in peer reviewed journals, several chapters in books andtwelve edited books. Angel Catalá received awards at the 40th InternationaConference Biochemistry of Lipids 1999: Dijon (France). W inner of the Bimbo PanAmerican Nutrition, Food Science and Technology Award 2006 and 2012, South AmericaHuman Nutrition, Professional Category. 2006 award in pharmacology, Bernardo\r\nHoussay, in recognition of his meritorious works of research. Angel Catalá belongto the Editorial Board of Journal of lipids, International Review of Biophysical ChemistryFrontiers in Membrane Physiology and Biophysics, World Journal oExperimental Medicine and Biochemistry Research International, W orld Journal oBiological Chemistry, Oxidative Medicine and Cellular Longevity, Diabetes and thePancreas, International Journal of Chronic Diseases & Therapy, International Journal oNutrition, Co-Editor of The Open Biology Journal.",institutionString:null,institution:{name:"National University of La Plata",institutionURL:null,country:{name:"Argentina"}}},editorTwo:null,editorThree:null,series:{id:"10",title:"Physiology",doi:"10.5772/intechopen.72796",issn:"2631-8261"},editorialBoard:[{id:"186048",title:"Prof.",name:"Ines",middleName:null,surname:"Drenjančević",slug:"ines-drenjancevic",fullName:"Ines Drenjančević",profilePictureURL:"https://mts.intechopen.com/storage/users/186048/images/5818_n.jpg",institutionString:null,institution:{name:"University of 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Fungal infectious illness prevalence and prognosis are determined by the exposure between fungi and host, host immunological state, fungal virulence, and early and accurate diagnosis and treatment. \r\nPatients with both congenital and acquired immunodeficiency are more likely to be infected with opportunistic mycosis. Fungal infectious disease outbreaks are common during the post- disaster rebuilding era, which is characterised by high population density, migration, and poor health and medical conditions.\r\nSystemic or local fungal infection is mainly associated with the fungi directly inhaled or inoculated in the environment during the disaster. The most common fungal infection pathways are human to human (anthropophilic), animal to human (zoophilic), and environment to human (soilophile). Diseases are common as a result of widespread exposure to pathogenic fungus dispersed into the environment. \r\nFungi that are both common and emerging are intertwined. In Southeast Asia, for example, Talaromyces marneffei is an important pathogenic thermally dimorphic fungus that causes systemic mycosis. Widespread fungal infections with complicated and variable clinical manifestations, such as Candida auris infection resistant to several antifungal medicines, Covid-19 associated with Trichoderma, and terbinafine resistant dermatophytosis in India, are among the most serious disorders. \r\nInappropriate local or systemic use of glucocorticoids, as well as their immunosuppressive effects, may lead to changes in fungal infection spectrum and clinical characteristics. Hematogenous candidiasis is a worrisome issue that affects people all over the world, particularly ICU patients. CARD9 deficiency and fungal infection have been major issues in recent years. Invasive aspergillosis is associated with a significant death rate. Special attention should be given to endemic fungal infections, identification of important clinical fungal infections advanced in yeasts, filamentous fungal infections, skin mycobiome and fungal genomes, and immunity to fungal infections.\r\nIn addition, endemic fungal diseases or uncommon fungal infections caused by Mucor irregularis, dermatophytosis, Malassezia, cryptococcosis, chromoblastomycosis, coccidiosis, blastomycosis, histoplasmosis, sporotrichosis, and other fungi, should be monitored. \r\nThis topic includes the research progress on the etiology and pathogenesis of fungal infections, new methods of isolation and identification, rapid detection, drug sensitivity testing, new antifungal drugs, schemes and case series reports. 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Many parasitic diseases are classified as neglected tropical diseases because they have received minimal funding over recent years and, in many cases, are under-reported despite the critical role they play in morbidity and mortality among human and animal hosts. The current topic, Parasitic Infectious Diseases, in the Infectious Diseases Series aims to publish studies on the systematics, epidemiology, molecular biology, genomics, pathogenesis, genetics, and clinical significance of parasitic diseases from blood borne to intestinal parasites as well as zoonotic parasites. We hope to cover all aspects of parasitic diseases to provide current and relevant research data on these very important diseases. In the current atmosphere of the Coronavirus pandemic, communities around the world, particularly those in different underdeveloped areas, are faced with the growing challenges of the high burden of parasitic diseases. At the same time, they are faced with the Covid-19 pandemic leading to what some authors have called potential syndemics that might worsen the outcome of such infections. Therefore, it is important to conduct studies that examine parasitic infections in the context of the coronavirus pandemic for the benefit of all communities to help foster more informed decisions for the betterment of human and animal health.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/5.jpg",keywords:"Blood Borne Parasites, Intestinal Parasites, Protozoa, Helminths, Arthropods, Water Born Parasites, Epidemiology, Molecular Biology, Systematics, Genomics, Proteomics, Ecology"},{id:"6",title:"Viral Infectious Diseases",scope:"The Viral Infectious Diseases Book Series aims to provide a comprehensive overview of recent research trends and discoveries in various viral infectious diseases emerging around the globe. The emergence of any viral disease is hard to anticipate, which often contributes to death. A viral disease can be defined as an infectious disease that has recently appeared within a population or exists in nature with the rapid expansion of incident or geographic range. This series will focus on various crucial factors related to emerging viral infectious diseases, including epidemiology, pathogenesis, host immune response, clinical manifestations, diagnosis, treatment, and clinical recommendations for managing viral infectious diseases, highlighting the recent issues with future directions for effective therapeutic strategies.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/6.jpg",keywords:"Novel Viruses, Virus Transmission, Virus Evolution, Molecular Virology, Control and Prevention, Virus-host Interaction"}],annualVolumeBook:{},thematicCollection:[],selectedSeries:null,selectedSubseries:null},seriesLanding:{item:null},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"onlineFirst.detail",path:"/online-first/80956",hash:"",query:{},params:{id:"80956"},fullPath:"/online-first/80956",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)}()