Characteristic absorption bands of Dextran biopolymers [18].
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\\n\\nIntechOpen Book Series will be launching regularly to offer our authors and editors exciting opportunities to publish their research Open Access. We will begin by relaunching some of our existing Book Series in this innovative book format, and will expand in 2022 into rapidly growing research fields that are driving and advancing society.
\\n\\nLaunching 2021
\\n\\nArtificial Intelligence, ISSN 2633-1403
\\n\\nVeterinary Medicine and Science, ISSN 2632-0517
\\n\\nBiochemistry, ISSN 2632-0983
\\n\\nBiomedical Engineering, ISSN 2631-5343
\\n\\nInfectious Diseases, ISSN 2631-6188
\\n\\nPhysiology (Coming Soon)
\\n\\nDentistry (Coming Soon)
\\n\\nWe invite you to explore our IntechOpen Book Series, find the right publishing program for you and reach your desired audience in record time.
\\n\\nNote: Edited in October 2021
\\n"}]',published:!0,mainMedia:{caption:"",originalUrl:"/media/original/132"}},components:[{type:"htmlEditorComponent",content:'With the desire to make book publishing more relevant for the digital age and offer innovative Open Access publishing options, we are thrilled to announce the launch of our new publishing format: IntechOpen Book Series.
\n\nDesigned to cover fast-moving research fields in rapidly expanding areas, our Book Series feature a Topic structure allowing us to present the most relevant sub-disciplines. Book Series are headed by Series Editors, and a team of Topic Editors supported by international Editorial Board members. Topics are always open for submissions, with an Annual Volume published each calendar year.
\n\nAfter a robust peer-review process, accepted works are published quickly, thanks to Online First, ensuring research is made available to the scientific community without delay.
\n\nOur innovative Book Series format brings you:
\n\nIntechOpen Book Series will also publish a program of research-driven Thematic Edited Volumes that focus on specific areas and allow for a more in-depth overview of a particular subject.
\n\nIntechOpen Book Series will be launching regularly to offer our authors and editors exciting opportunities to publish their research Open Access. We will begin by relaunching some of our existing Book Series in this innovative book format, and will expand in 2022 into rapidly growing research fields that are driving and advancing society.
\n\nLaunching 2021
\n\nArtificial Intelligence, ISSN 2633-1403
\n\nVeterinary Medicine and Science, ISSN 2632-0517
\n\nBiochemistry, ISSN 2632-0983
\n\nBiomedical Engineering, ISSN 2631-5343
\n\nInfectious Diseases, ISSN 2631-6188
\n\nPhysiology (Coming Soon)
\n\nDentistry (Coming Soon)
\n\nWe invite you to explore our IntechOpen Book Series, find the right publishing program for you and reach your desired audience in record time.
\n\nNote: Edited in October 2021
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Since the discovery of an oxide superconductor with critical temperature (Tc) approximately equal to 35 K (by Bednorz and Muller 1986), there are a great number of laboratories all over the world involved in research of superconductors with high Tc values, the so-called "High-Tc superconductors". \nThis book contains 15 chapters reporting about interesting research about theoretical and experimental aspects of superconductivity. You will find here a great number of works about theories and properties of High-Tc superconductors (materials with Tc > 30 K). In a few chapters there are also discussions concerning low-Tc superconductors (Tc < 30 K). This book will certainly encourage further experimental and theoretical research in new theories and new superconducting materials.',isbn:null,printIsbn:"978-953-307-151-0",pdfIsbn:"978-953-51-4904-0",doi:"10.5772/684",price:139,priceEur:155,priceUsd:179,slug:"superconductivity-theory-and-applications",numberOfPages:360,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"bb0587d06c5516fc4e3c89818b9b17e6",bookSignature:"Adir Moyses Luiz",publishedDate:"July 18th 2011",coverURL:"https://cdn.intechopen.com/books/images_new/159.jpg",numberOfDownloads:40264,numberOfWosCitations:37,numberOfCrossrefCitations:13,numberOfCrossrefCitationsByBook:1,numberOfDimensionsCitations:25,numberOfDimensionsCitationsByBook:4,hasAltmetrics:0,numberOfTotalCitations:75,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"October 7th 2010",dateEndSecondStepPublish:"November 4th 2010",dateEndThirdStepPublish:"February 9th 2011",dateEndFourthStepPublish:"April 10th 2011",dateEndFifthStepPublish:"June 24th 2011",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"10012",title:"Dr.",name:"Adir",middleName:"Moysés",surname:"Luiz",slug:"adir-luiz",fullName:"Adir Luiz",profilePictureURL:"https://mts.intechopen.com/storage/users/10012/images/1512_n.jpg",biography:"Adir Moysés Luiz is associate Professor at Instituto de Física at Federal University in Rio de Janeiro, (UFRJ) Brazil. He obtained doctor degree in Chemical Engineering (DSc.) at COPPE - “Universidade Federal do Rio de Janeiro”, (UFRJ) in Brazil. The year of degree obtaining is 1982. The research areas which were always in the focus of his activities are: thermodynamics, solid state physics, materials science and superconductivity. His present interests are: superconductivity, superconducting materials, applications of superconductivity, superconducting devices, microscopic theories of superconductivity. Until now, Dr. Luiz has published 44 articles in scientific journals, 23 books and 62 articles in annals of events. He has also published 22 presentations of events (different congresses, conference or lectures), translated 19 books, and participated in 43 graduate boards. 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Productive Conservation",subtitle:null,reviewType:"peer-reviewed",abstract:"\r\n\tLandraces are an essential component of the current agricultural biodiversity. The ever-increasing human population and environmental stresses have brought changes in land usage and the destruction of habitats. This loss of potentially valuable features has prompted researchers and breeders to constantly seek new sources of genetic variation in order to better adapt to changing climatic circumstances and meet the need for new varieties suited to marginal locations. Traditionally native and local ruminant landraces have served as seed stock for the improved breeds known in modern times; in some regions of the globe, some genotypes have been preserved and selected mostly for meat and milk production and other purposes (transportation, wool, mohair, and pelts). Likewise, these genotypes have also been used in not such orderly manners, resulting in important declines in numbers, which puts such genotypes on the brink of extinction. Native and local ruminant landraces are known for their high reproductive rates, disease resistance, and adaptation to harsh environments, but usually present low productivity levels; thus, modern conservation strategies of ruminant landraces must include the use of all biotechnological tools available, to improve not only the quantity but also the quality of the ruminant landrace products. Plant landraces are of relevance for future breeding efforts as well as the creation of new agricultural systems and new products since they can adapt to specific agro-climatic conditions while retaining a substantial level of genetic variability both across and within populations. This pool of genetic variation may be used to develop novel agricultural systems and products. Therefore, it is necessary to study the genetic diversity of these people and conserve it for future generations. In addition, production systems using landraces must be in accordance with policies that avoid pollution and help us to preserve our environments. This book will aim to collect important results of original research in the form of review articles focused on but not limited to, the aspects of resources, conservation, and utilization of animal and plant landraces.
",isbn:"978-1-83768-159-4",printIsbn:"978-1-83768-158-7",pdfIsbn:"978-1-83768-160-0",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,isNomenclature:!1,hash:"9c3ea2c2248cc3c8a2888e525c732c26",bookSignature:"Emeritus Prof. Arnoldo González-Reyna and Dr. Prashant Kaushik",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11612.jpg",keywords:"Plant Genetic Resources, Crop Wild Relatives, Gene Banks, Indigenous Species, Traditional Varieties, Characterization, Applied Reproductive Technologies, Feeding Biotechnologies, Animal Landrace Production, Crossbreeding, Ruminant Landraces, Quality",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"May 25th 2022",dateEndSecondStepPublish:"June 22nd 2022",dateEndThirdStepPublish:"August 21st 2022",dateEndFourthStepPublish:"November 9th 2022",dateEndFifthStepPublish:"January 8th 2023",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"3 days",secondStepPassed:!0,areRegistrationsClosed:!1,currentStepOfPublishingProcess:3,editedByType:null,kuFlag:!1,biosketch:"An academic and researcher in ruminant reproductive physiology and endocrinology and reproductive biotechnologies, also with experience in animal production systems; appointed as Emeritus Professor at the Autonomous University of Tamaulipas, in northeast México.",coeditorOneBiosketch:"Dr. Prashant Kaushik is currently working as Adjunct Faculty with three academic institutions and is experienced in vegetable crop improvement.",coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"470479",title:"Emeritus Prof.",name:"Arnoldo",middleName:null,surname:"González-Reyna",slug:"arnoldo-gonzalez-reyna",fullName:"Arnoldo González-Reyna",profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:"I conducted my studies at the University of Tamaulipas (BSc), Utah State University (MSc) and the University of Saskatchewan (USask. 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Several research fields are nowadays related to thin films with a broad range of potential applications. Thin (<1
Both natural and synthetic biopolymer thin films are representatives for engineering of the cell/biomaterial interface in view of controlling cell behavior, with a high impact for the
Pulsed laser technologies have extensively confirmed to be versatile for the fabrication of high-quality biomaterial thin films as they ensure the stoichiometry preservation [5]. However, in case of biopolymers, Pulsed Laser Deposition (PLD) induces an irreversible damage of the organic materials’ composition due to high laser intensities [6]. This limitation is avoided by the new technique called matrix-assisted pulsed laser evaporation (MAPLE), which allows transferring delicate, large molecular-mass organic compounds [7-9]. Indeed, after the first implementation in the late 1990s [10], MAPLE proved to attain its maturity with the synthesis of functional, high-quality organic thin films, as reported by Guo
Among the three main classes of natural biopolymers (polynucleotides, polypeptides, and polysaccharides) [30], this chapter focuses on the advanced laser synthesis of two polysaccharide thin films, namely Dextran doped with iron oxide nanoparticles and Levan. A detailed literature survey overviews the MAPLE synthesis of other biopolymers. Moreover, the possibility to fabricate combinatorial libraries of biopolymers by advanced laser technique in a single-step process is mentioned.
The use of polysaccharides as biomaterials has evolved over the past several decades, covering biomimetic approaches. A simple classification divides the polysaccharides as derived from non-mammalian or mammalian sources. The first group includes Alginate, Chitin, and Dextran, among others, which possess similar saccharide structure although having different origins [31, 32]. The interest in these materials is due to their relatively easy extraction and purification of large quantities at low cost. Mammalian polysaccharides, such as the Glycosaminoglycans chondroitin sulfate, Hyaluronan, and Heparin, possess chemical similarities to the non-mammalian ones but their isolation is more complicated [33-35]. Their unique biological functionality, e.g., specific binding with multiple proteins, has raised increased interest for application in the field of biomaterials, as reviewed in Ref. [36].
Like other non-mammalian polysaccharides, Dextran is not present in human tissues, being expressed by bacteria such as either
Among natural polysaccharides, Levan is a high molecular weight, water-soluble bacterial exopolysaccharide (β2,6-linked fructan) [45]. It is produced by microbial fermentation of
The latest progress achieved in the development of new materials or innovative properties is often based on combinatorial processes. Usually, the fabrication of a multicomponent organic coating is performed by film casting procedures [53, 54]. Compositional and/or thickness gradient thin films of polymers are produced by premixing different polymer solutions, followed by applying a linear temperature gradient [55]. Subsequently, stem cells were exposed to molecule combinations arrays, looking for synergistic effects that could direct cell fate [56]. Other studies reported binary combinations of an adhesive molecule and a growth factor in view of parallel testing of several environmental media to control the evolution of neural stem cells [57]. This approach is based on previously tested well-defined concentrations of biomolecules to obtain the desired combinations.
This chapter introduces an innovative solution for the synthesis of combinatorial libraries of biopolymer thin films by Combinatorial-MAPLE (C-MAPLE) technique (
Nowadays, there is a large body of experimental studies focused on the deposition of thin, uniform, and adherent films of numerous types of polymers, organic materials, and biomaterials (soft materials). The goal is the fabrication of controlled structures (or nanostructures) essential to be used, for instance, in diverse areas such as medical field, packaging, cosmetics, clothing fabrics, food additives, industrial plastics, water treatment chemicals absorbents, biosensors and detectors, or data storage elements [58]. For this purpose, one needs to choose an appropriate deposition method which should depend on the physical–chemical properties of the biomaterial, requirements for film quality, type of the substrate, and the production costs [25].
There exist techniques that can be used to deposit highly uniform biopolymers thin films and micro-patterns [59], like laser-induced forward transfer (LIFT) [60] or Matrix-assisted laser desorption/ionization (MALDI) [61]. Besides, sol-gel, layer by layer (LbL), aerosol spraying, dip coating, and spin coating are techniques that entail liquid solutions of the material in a volatile solvent [7, 62, 63]. A common method to obtain surfaces with a single biomolecular layer is Langmuir–Blodgett (LB) dip coating, using self-assembled monolayers [7, 64, 65].
In spite of the rich list reported in the literature of biomaterials deposited thin films, these techniques have their own merits but also disadvantages (e.g., manufacturing of a limited class of biomaterials). In order to obtain a better quality of thin films, these techniques should allow the control of several parameters during and after deposition. In short, in the case of LB method, key parameters have been identified to be crucial for obtaining high-quality thin films, e.g., deposition speed or transfer surface pressure [66]. These parameters directly affect the adhesion strength between film and substrate, causing delamination of the layer or generating discontinuities in the structure, which worsen the homogeneity of the films [67]. Also, this technique is limited to very thin layers [68, 69]
Sol-gel is a largely used method, successfully applied to obtain organic/inorganic hybrid coatings [70, 71] through precipitation by chemical reactions in liquid medium. In spite of its advantages, sol-gel technique will never reach its full potential due to some limitations, e.g., poor coating adhesion, low wear-resistance, involvement of liquid media that could impede the multilayer assembling (affect interfaces), high permeability, limit of the maximum coating thickness (~0.5
Other drawbacks that restrict the application of these methods are related to the choice of the solvent or liquid media issues during multilayer assembling, difficulties in obtaining large- area uniform thin coatings, or that the methods are time- and material-consuming [73-77].
It is widely accepted that the surface topography has a significant influence in a wide range of organic materials applications. In addition to surface topography and chemistry, thin film adhesion to the substrate also plays an important role. According to the literature, the current coating techniques [78, 79] provide inadequate coating adhesion to the substrate.
Nowadays, it is considered that laser-based technologies are among the main, most powerful tools for fabrication of micro- and nano-arrays of a wide range of different biomaterials with controlled thickness (with the precision of 1 Å), good adhesion to the substrate, and specific surface properties. Moreover, these methods permit the relatively uniform spreading of material over rather large areas, control of substrate temperature, low material consumption, and stoichiometry conservation of the growing film.
Nevertheless, when using UV lasers such as excimers operating at 193- or 248-nm or frequency tripled Nd:YAG lasers at 355 nm (6.4–3.5 eV/photon) to obtain thin films of very complex delicate biomolecules, irreversible damage of the chemical bonds and consequent compositional modification are induced. Consequently, PLD technique is not a viable option for fabrication of complex biomolecules such as polymer thin films [6].
Discovered at the end of the 1990s at the Naval Research Laboratory, MAPLE has become nowadays an active area of research [9, 80]. Developed as a complementary method to PLD, MAPLE has introduced new advancements in laser methods deposition of thin films. In short, MAPLE provides gentler pulsed laser evaporation, a less damaging approach for transferring many different compounds including small or large molecular weight species, such as organic and polymeric molecules [81].
MAPLE technique has been successfully applied to obtain thin films of sensitive materials avoiding thermal decomposition and irreversible degradation under the action of electric or magnetic fields. Applications targeted development of biosensing, chemical sensing, and biochemical analysis, as well as drug delivery systems and the developing of a new generation of implants [19, 82-86]. In MAPLE, the laser-induced material ejection is generated backward from a solid cryogenic target. The expulsed substance is assembled on substrates, where it forms a thin film with a thickness from a few to several hundreds of
The experimental setup of MAPLE method.
Typically, the target consists of base material (less than 10% wt.) dissolved/suspended into a laser wavelength absorbing solvent when in frozen state. The organic material molecules reach sufficient kinetic energy by collective collisions with the evaporating solvent molecules, ensuring a controlled transfer on the substrate, in gas phase. Since the receiving substrate is usually kept at room temperature and the sticking coefficient of the solvent is nearly zero, the evaporated solvent is efficiently pumped away by the vacuum system. The solvent and solute concentration should be selected so that: the solute can be dissolved to form a dilute, particulate-free solution; most of the laser energy has to be absorbed by the solvent molecules rather than the solute ones; and no photochemical reaction is produced between solvent and solute. By optimization of the MAPLE deposition parameters (laser wavelength, repetition rate, laser fluence, solvent type, solute concentration, substrate temperature, background gas and pressure), the process can proceed without significant material decomposition [6, 25, 81]. It was demonstrated that MAPLE could provide more crystalline layers as compared to PLD method from the same materials [87]. Recent comprehensive reviews on MAPLE deposition of organic, biological and nanoparticle thin films illustrated large potential (drug delivery, biosensors, etc.) applications of thin coatings obtained by this method [9, 88].
Recently, improvements have been made on MAPLE technique based on developing a new concept for the synthesis of functionalized biomaterials surfaces. Combinatorial-MAPLE technique was introduced as a new approach for the fabrication of gradient organic/inorganic thin films, for the identification of best bioactive surfaces able to modulate and control cell behavior [13]. In C-MAPLE experiments, two targets are simultaneously evaporated by laser beams. Different lasers could be used, having different characteristics (pulse duration, wavelength, repetition rate), or the beam of one laser is divided into two beams (Figure 2) by an optical splitter.
The experimental setup of C-MAPLE method.
The two beams are independently focused onto the surface of each target, containing the frozen solutions to be irradiated. To grow uniform thin films, the targets are continuously rotated (from 1 to 80 rpm). This arrangement is preferred to avoid drilling and allow for the expulsion of materials in an accurate mode. To deposit high-quality films with controlled thickness, one should choose for each compound the appropriate fluence and number of laser pulses to reasonably balance the deposition rate along the length of the substrate. This particular combinatorial setup allows for the smooth and isotropic interpenetration and mixing of the two substance fluxes evaporated form the targets, resulting in the deposition of a continuous and uniform composition gradient. A gradient of composition from 100% A material to 100% B material is thus obtained on a substrate, as schematically depicted in Figure 3.
The design of the experimental setup.
This method opens the possibility to both combine and immobilize two or more materials, dissolved in different solvents, using diverse wavelengths. Further, by investigating the obtained structures by physical, chemical, and biological methods, one could select the best compositions that can be synthesized from the two components. The advent of Combinatorial-MAPLE could open new research frontiers in identification of the best dosage between several organic and/or inorganic materials with great prospective for many applications.
The understanding of the fundamental processes responsible for the molecular transfer (physical mechanisms governing the ejection) of delicate materials when suspended in a volatile matrix in form of an icy target should be investigated in order to explain the experimental results. More concretely, the large surface roughness specific to MAPLE depositions could not be accounted for in terms of the first explanations advanced in Ref. [6], where it is hypothesized that the matrix absorbs laser energy and converts it into thermal energy which will vaporize the solvent molecules. Then, the active material molecules are displaced onto the collector surface after collisions with solvent molecules. Moreover, the studies have proved that it is mandatory to make an appropriate choice of transfer parameters (laser wavelength, incident fluence and pulse duration, type of solvent, substrate nature and temperature, and nature and pressure of the background gas). When these conditions are met, MAPLE ensures the “soft” ejection and transfer of delicate material molecules preserving their chemical structure and very likely their functionality and biologic activity. Accordingly, the proper choice of solvent and deposition conditions is essential for getting the best possible compromise between films bioactivity and morphology.
Before 2007, no theoretical or computational works for a better understanding of MAPLE process have been conducted. Leveugle and Zhigilei [89] developed for the first time a computational model (a coarse-grained molecular dynamic (MD) model) to explain the basic mechanisms related to laser–material interaction and non-equilibrium processes and the resulting film characteristics, especially morphology. The authors demonstrated that even at low concentration (0.1–5% wt.) of active material in the matrix, the active molecules can influence the molecular ejection and subsequently the morphology of the films. The MD simulations were conducted for a laser wavelength of 337 nm with pulse duration of 50 ps and incident laser fluences in the range 3–9 mJ/cm2. It was revealed that below the ablation threshold of the matrix (3.5 mJ/cm2), only an evaporative process occurs. In this regime, the matrix molecules solely get vaporized and no active molecules are ejected. For laser fluences superior to this threshold, an explosive process takes place accompanied by ejection of clusters and liquid particles from the MAPLE target. This results in the deposition of thin coatings with a high roughness morphology. In addition to this, the simulations predicted that also the composition of the target surface can be modified by the ablation process induced by matrix evaporation. It is expected that an increase of active material concentration in the target is produced, especially in a multipulse irradiation regime.
The ejection of clusters composed of solute and matrix molecules and the rough surface of the MAPLE coatings seem inevitable. However, the quality of the growing films can be, at least partially, controlled by the temperature of the substrate and possible post-deposition treatments.
Based on this model, it is possible to avoid or minimize the deposition of molecular clusters in MAPLE and achieve a molecule-by-molecule deposition of ultrathin films without significant roughness by selecting the appropriate set of transfer parameters.
Water, “the universal solvent,” is perhaps the most versatile matrix for biopolymers. A frozen aqueous solution is an attractive medium since such an icy matrix has turned out recently to yield promising results for biomolecule transfer from targets to selected substrates [21, 90, 91]. However, the laser light at 248 nm is not very efficiently absorbed by the ice matrix, but is on the other hand less harmful to the bonds in the polymer than light at shorter wavelengths [92].
When using a water matrix, the ablation process could be related to local overheating of absorbing areas constituted by biomolecules in the outmost surface layer, heating the solvent in their vicinity [93]. In vacuum conditions, the water solvent starts boiling at room temperature, the vapors transporting the biomolecules toward the substrate surface. The material ejection is consequently produced at lower temperature than the degradation threshold.
Another mechanism based on
These MD simulation and models allow achieving two main objectives of MAPLE, which are as follows: (
The development of hybrid biomaterials, in particular in the form of thin films, has received a growing interest in the last decades mainly due to their biomedical applications. It is generally accepted that both synthetic and natural biopolymers could be used in biomaterials research, because of their unique structures that allows for a specific functionalization for desired applications [36]. Moreover, embedding metal and/or metal oxide nanoparticles (NPs) into an organic and/or inorganic matrix could lead to the fabrication of a novel generation of
As known, Dextran is a natural biopolymer that can be synthesized from fermentation of sucrose-containing media [31, 37]. Its structure consists of linear (1
In the last decades, biocompatible iron oxide NPs have attracted increased consideration due to promising properties for the biomedical field. Applications reported in the literature are related to: contrast agents in magnetic resonance imaging (MRI) [98, 99],
Although emerging applications envisioned, it was only recently reported that the nanosized feature of particles could be associated to cytotoxicity [108, 109], at least when large amounts of NPs have to be used. Only NP concentrations below 100 μg/ml are considered safe [110]. The growth of hybrid thin films consisting of Dextran and maghemite γ-Fe2O3 NPs using MAPLE technique was reported by Predoi and coworkers [18]. The authors investigated the biocompatibility, an essential requirement for the introduction of iron oxide into the human body, but also the influence of the NP concentration on the biomimetic properties of the synthesized coatings.
The chemical synthesis of iron oxide NPs was performed following a classical co-precipitation procedure, according to Bee
Dextran and Dextran–iron oxide composite thin films were deposited by MAPLE. Different solutions consisting of 25,000 Da molecular weight Dextran (10 % wt.), iron oxide NPs (0–5 % wt.), and distilled water as matrix solvent were used for target preparation. Before each deposition, 5 ml of the obtained solution was dropped in a copper holder of 3 cm diameter and 5 mm height and immersed in liquid nitrogen (77 K) to freeze a solid target. The pure and hybrid coatings were grown on SiO2 glass substrates by applying 25×103 subsequent laser pulses. After optimization trials, the incident laser fluence on the target surface was set at 0.5 J/cm2.
The structure of hybrid Dextran–iron oxide thin films obtained from the composite targets was first analyzed by X-Ray Diffraction (XRD). The diffraction patterns revealed the presence of the peaks assigned to the cubic maghemite γ-Fe2O3 structure. This observation is in good agreement with SAED analysis indicating that the NPs’ crystalline phase was preserved during laser processing. Moreover, the average size <
Figure 4 illustrates the structural characteristics of the coatings inferred by Fourier transform infrared spectroscopy (FTIR). The graphs illustrate the spectra of iron oxide NPs (Figure 4.A) and Dextran used for the preparation of the MAPLE targets (Figure 4.B), as well as the spectra of the Dextran–iron oxide thin films synthesized by MAPLE from the composite targets containing 5% wt. (Figure 4.C) and 1% wt. (Figure 4.D) maghemite γ-Fe2O3, respectively. All spectra exhibit the bands assigned to OH stretching (ν OH) and HOH bending (δ OH) vibrational bands at 3480 cm−1 and 1700 cm−1 due to adsorbed water molecules [113]. The bands observed at 620 cm−1 and 580 cm−1 in the spectrum of the iron oxide NPs correspond to the Fe–O vibration modes of γ-Fe2O3 [114, 115]. In the FTIR spectrum of Dextran-NPs, the characteristic absorption bands of the polysaccharide can be observed [114, 116-118]. They are summarized in Table 1. One could notice that the spectra recorded in case of the hybrid coatings are very similar to the spectra of the starting materials. Furthermore, the intensity of the bands corresponding to the maghemite γ-Fe2O3 phase increases with increasing NPs concentration in the composite targets used in MAPLE experiments.
FTIR spectra of iron oxide NPs (A), pure Dextran (B), as well as Dextran–iron oxide thin films containing 10% wt. Dextran, 5% wt. (C) and 1% wt. (D) iron oxide NPs. (Reproduced with permission from [
The typical surface morphology of thin films deposited by MAPLE technique is characterized by an aggregated structure, consisting of micrometer-sized particles [17, 18, 22, 39, 119]. It is worth noting that a larger specific surface area was proven to induce an enhanced bioactivity, able to promote osteoblast differentiation, as reported in case of hybrid organic–inorganic thin films deposited by MAPLE [120, 121].
The biocompatibility of the Dextran–iron oxide thin films was demonstrated by 3-(4.5 dimethylthiazol-2yl)-2.5-diphenyltetrazolium bromide-based colorimetric assay, using human liver hepatocellular carcinoma (Hep G2) cell line [18]. In Figure 5 are visible the inverted light microscope images of Hep G2 cells cultivated on pure Dextran (Figures 5.A, 5.B) and Dextran–iron oxide thin films obtained from composite targets (Figures 5.C, 5.D) after 24 (A, C) and 48 h (B, D) incubation time. The cultured Hep G2 cells form polygonal multicellular aggregates [122] as could be observed from figures, this morphology being preserved even after 48 h incubation time. At both iron oxide concentrations, the aggregates’ size increased with the incubation time, but is still close to those grown on uncoated plastic slides.
\n\t\t\t\t \n\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t
3480 | \n\t\t\tOH stretching ( | \n\t\t
1700 | \n\t\t\tHOH bending ( | \n\t\t
2950 | \n\t\t\t\n\t\t\t\t | \n\t\t
1440 | \n\t\t\tvibrational modes | \n\t\t
1200 | \n\t\t\t\n\t\t\t\t | \n\t\t
940 | \n\t\t\t\n\t\t\t\t | \n\t\t
720 | \n\t\t\tdeformation modes | \n\t\t
Characteristic absorption bands of Dextran biopolymers [18].
The results of the viability tests (MTT) of Hep G2 cells on pure Dextran drop-casted solution, Dextran and Dextran–iron oxide composite thin films obtained by MAPLE are presented in Figure 5.E, and compared to the cells cultivated on control samples (considered as having a viability of 100%). A small decrease of viability (~8%) was observed for Dextran–iron oxide thin films after 24 h incubation time. When increasing the incubation time, this drop increased but still remained below 12% for the Dextran thin film containing 5% wt. iron oxide, pointing to good biocompatibility [18]. Moreover, in a similar study, Ciobanu
Inverted light microscopic images of Hep G2 cells grown on pure Dextran thin films (A, B), and Dextran–iron oxide thin films obtained from composite targets (C, D) after 24 (A, C) and 48 h (B, D) incubation time. Viability of Hep G2 cells grown on Dextran, and on composite thin films deposited by MAPLE technique (E). (Reproduced with permission from [
In summary, due to its properties, relatively low cost and availability, Dextran and its conjugates have increased utilization in the field of biomaterials. Non-laser-based techniques are intensively used to fabricate thin films and hydrogels as well [123-125]. The influence of Dextran and albumin-derived iron oxide nanoparticles on fibroblasts
High-purity biopolymers are now obtained by microbial fermentation. Levan is a natural polysaccharide produced from fructose by many microorganisms [127]. It is composed of d-fructofuranosyl monomers linked by β(2
MAPLE process was successfully applied to fabricate organized and nanostructured pure thin films of Levan (L) and oxidized Levan (OL) in vacuum. In order to produce functional aldehyde groups, the oxidation of Levan was carried out before laser transfer in dark oven at 50 °C for six days. MAPLE proved to be the only technique able to transfer nanostructured Levan thin coatings on solid substrates, which exhibited biocompatible properties
Typical XSEM of L thin films on glass obtained by MAPLE (Reproduced with permission from [
Levan films were compact in volume, exhibiting a good adhesion to substrate. As observed from cross-section SEM (XSEM) image in Figure 6, the film was rather compact, while the variation in height across films was low over a relatively large area, supporting the uniformity of the layer. The surface was smooth over large areas and homogenous. A growth film ratio of 0.012 nm/pulse was estimated.
Uncommon two-dimensional ordered array was evidenced at film surface due the most probably to a controlled aggregation during the growing of the film (Figure 7). The nanostructured assembling appears when the solvent DMSO molecules evaporate from the heated substrate.
Typical AFM images of sample surfaces for (A) L and (B) OL coatings by MAPLE on Si (Reproduced with permission from [
The dynamics of polymers at surface is substantially altered especially when some solvent molecules induce rearrangements. Totally different to rigid ceramic or metal materials, the composition of the polymer varies also with the depth [139]. The morphology is quite similar for L and OL thin films obtained by MAPLE exhibiting a spatial orientation due to a collective influence of evaporation-induced assembly with the specific linkages of the linear structures of polysaccharides. These assembling morphologies were also found for nano-hydroxyapatite (nHA) – chitosan composites [140]. It is considered that the nanostructured assembling, which induces a larger specific surface area, boosts the surface properties of the biopolymer.
The effect of Levan films grown by MAPLE on cell viability and proliferation was investigated by interaction with bone cells. Their proliferation on Levan and control samples was found to be similar. The OL coatings induced an increased cell activity revealed by enhanced cell proliferation as compared with the simple L coatings. This is in accordance with the higher hydrophilicity of OL surfaces due to the acidic aldehyde–hydrogen bonds forming after oxidation [12].
Combinatorial processes are required for the synthesis of new organic multicomponent thin coatings [54, 141]. In case of polysaccharides, co-electrodeposition is applied after materials are dissolved or suspended in aqueous solution and integrated into thin films [142]. To produce thin film compositional libraries, premixing of biopolymer solutions followed by temperature gradient over the coating [55], casting processes [143], or flow-coating methods [144] have been used.
A combinatorial technology based on MAPLE for the blending of novel organic compounds was introduced. The new processing method called Combinatorial-MAPLE (C-MAPLE) was proposed to biopolymer compounds [13, 14, 22]. The composition gradient between two materials is achieved by laser co-evaporation of two distinct cryogenic targets and thin-film co-deposition process on solid substrate as described in
In experiments, an excimer laser source (KrF*, λ = 248 nm, τ = 25 ns) was used for target evaporation. The Si substrates or glass slides were placed at 4 cm far and parallel to the targets and slightly heated during laser deposition. In a configuration with a distance between the plasmas’ centers of 2 cm (see Figure 2), one can obtain a 4 cm long deposition with edges consisting of only L and OL, respectively, and in-between discrete areas of L–OL blended compositions. The soft mixing of the two compounds evaporated from the two distinct targets results in the deposition of a continuous and uniform film with compositional gradient. A gradient of composition from 100% L at left corner to 100% OL at right corner (Figure 8.B) was thus obtained.
The compositional gradient of the film was followed by fluorescence microscopy, as a change in fluorescence emission between L and OL occurs. Levan contains fructose, which is highly fluorescent under green excitation (488 nm). OL loses the fluorescence because fructose is oxidized to aldehyde groups [145]. In Figure 8.A are presented optical and fluorescent pair images in which one can observe the increasing of fluorescence intensity from OL to L along the deposited sample (Figure 8.A and 8.C). This confirms the compositional gradient in the structure [13].
(A) Differential interference contrast and fluorescence microscopy images of OL (left) – L (right) gradient film obtained by C-MAPLE along the glass slide. Positive (Levan/glass) and negative (glass) controls are presented. Bar = 100 µm (20x) and 50 µm (40x). (B) Diagram of expected composition gradient obtained by C-MAPLE from OL and L targets. (C) Quantification of gradient regions fluorescence emission intensity using ImageJ histogram function. Glass background is set as threshold and depicted as dotted line (Reproduced with permission from [
Cellular adhesion, spreading, and proliferation are processes dependent on surface composition and roughness. An optimal cell response to the surface characteristics is of great significance for tissue engineering and nanomedicine. The biocompatibility and cellular behavior to gradient films on glass and silicon substrates was thus evaluated. Initial cell–substrate interaction is shown by cell attachment, followed by adhesion and proliferation. The cell attachment efficiency and morphology is indicative of material biocompatibility. To clearly discriminate between the cell responses, the samples were cut in four equivalent pieces (OL, OL-L, L-OL, and L, respectively). L regions should consist of Levan only, OL of oxidized Levan only, while in OL–L intermediary areas one can expect to contain more OL than L and in L–OL areas more L than OL. The density and actin morphology of cells were evaluated on the four regions (Figure 9.A) at 40 min after cell seeding, as the proof of primary attachment. Similarities on all four zones and standard microscopy cover slips were indicative of biocompatibility and of the dynamic interaction of L/OL gradient coatings with bone cells. The quantification (Figure 9.B) showed that the cells preferred OL as compared to L areas. The main result was the evident increased cell accumulation on L–OL film blends. This effect was explained by surface wettability associated with the presence of the appropriate amount of OL within L zones. Indeed, the degree of oxidation combined with surface hydrophilicity and roughness stay at the origin of improved bone cell proliferation on L–OL and OL zones. Interestingly, the cell density on OL areas was superior to standard cover slips. It was suggested that such compositional gradients could be used to screen specific nanostructured surface cues for tailoring cell proliferation or to modulate intracellular signaling pathways for specific biomedical applications [13, 14].
The new combinatorial laser technology opens the prospect to simultaneously combine and immobilize
(A) Fluorescence microscopy of bone cells on combinatorial and control materials after 40 mins seeding. Different magnifications (10X and 40X) of cells labeled with Alexa Fluor 488-conjugated phalloidin (actin – green) and DAPI (nuclei – blue) are presented with details on cell morphology. (B) Quantification of cells by ImageJ nuclei counting function. Mean ± SEM is depicted on graph.
An exhaustive list of other thin films grown by advanced laser techniques, as well as their physical- and biochemical characterizations for biomedical applications could be found in the literature [6, 81]. Several book chapters and review articles available to readers, spanning a broad coverage of both fundamental and applicative aspects, published in the last five years, are summarized in Table 2.
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t
Living cells enzymes, proteins and bioceramics. | \n\t\t\tTissue engineering, stem cell and cancer research. | \n\t\t\tTopical Review: | \n\t\t\tN.R. Schiele et al. [146] | \n\t\t
Polymers (SXFA, POOPT (poly [3-(4-octyloxyphenyl) thiophene]), poly(9,9- dioctylfluorene) (PF8), Ge-corrole derivative (Ge(TPC)OCH3)), Proteins (horseradish peroxidase (HRP), insulin, bovine serum albumin (BSA)), Nanoparticles (TiO2, SnO2). | \n\t\t\tBiomaterials, gas sensing. | \n\t\t\tChapter 9: “ | \n\t\t\tA. Luches and A. P. Caricato [7] | \n\t\t
Hybrid organic–inorganic bionanocomposites [HA– sodium maleate (HA–NaM) copolymer, alendronate–HA]. | \n\t\t\tAdvanced biomimetic Implants. | \n\t\t\tChapter 10: “ | \n\t\t\tI. N. Mihailescu et al. [8] | \n\t\t
Polymers and biological molecules, biomaterials, nanoparticle films. | \n\t\t\tDrug delivery, tissue engineering, for gas and vapor detection, for light emitting devices, etc. | \n\t\t\tReview: “ | \n\t\t\tA.P. Caricato, A. Luches [80] | \n\t\t
Living mammalian cells and pluripotent stem cells (e.g., human dermal fibroblasts, rat neural stem cells, mouse embryonic stem cells). | \n\t\t\tIn vitro cellular microenvironment, tissue engineering, regenerative medicine. | \n\t\t\tReview: “ | \n\t\t\tB.C. Riggs et al. [147] | \n\t\t
Polymer and other soft matter thin films (Horseradish peroxidase, Ribonuclease A, Poly(ethylene glycol), Poly(3-hexyl thiophene), MEH-PPV). | \n\t\t\tOrganic electronics, medical implants, drug delivery systems, and sensors. | \n\t\t\tTrends in Polymer Science: | \n\t\t\tShepard, K. B. and Priestley, R. D. [148] | \n\t\t
Biocompatible and biodegradable polymers ((PEG), (PLGA), mixtures PEG-PLGA, poly(D,L-lactide), Levan); Extracellular matrix proteins (fibronectin, vitronectin); organic – inorganic composites. | \n\t\t\tBiomimetic applications in drug delivery systems, biosensors and advanced implant coatings. | \n\t\t\tChapter 5: “ \n\t\t\t\t | \n\t\t\tF. Sima and I.N. Mihailescu [9] | \n\t\t
Polysaccarides (Levan), Composite alendronate-HA, Enzyme ribonuclease A. | \n\t\t\tBiomimetic coating of medical implants, drug delivery systems, biosensing. | \n\t\t\tChapter 11: | \n\t\t\tI. N. Mihailescu et al. [88] | \n\t\t
Enzyme immobilization (Laccase). | \n\t\t\tBio-Sensors. | \n\t\t\tChapter 9: “ | \n\t\t\tN. Cicco et al. [149] | \n\t\t
Overview of recent reviews and book chapters published in the field of thin films synthesis by MAPLE
MAPLE synthesis of biopolymer thin film was applied to fabricate organized and nanostructured pure and hybrid polysaccharide layers. It was demonstrated that laser-based techniques allow for transferring complex, large molecular-mass organic compounds, avoiding their photo-thermal decomposition and/or irreversible damage. The functionality preservation was secured for Dextran and Levan coatings and derivatives, as revealed by cells’ viability and proliferation
The flexibility of the C-MAPLE method allows for the synthesis of new hybrid materials by correlating laser irradiation settings with the thermo-physical and chemical properties of the raw materials. This approach opens a great potential to the discovery of new drugs for the pharmaceutical industry and for drug release applications from biodegradable polymeric coatings. Intelligent materials synthesized on discrete areas exhibiting desired properties such as controlled rate of coating dissolution stands for a future challenge. An expansion of combinatorial organic domain can be stimulated by laser technologies. The strong advantages are the control of the preferred density of functional groups at the surface, among which we mention chemical composition and/or physical properties on nanometric areas and the fabrication of multicomponent gradient layers.
The authors acknowledge the support of UEFISCDI under the contracts 19_RO-FR/2014 and PNII-RU-TE-2014-4-1790, -1273 and -0396.
Fossil fuels, which originated from the anaerobic decomposition of carbon-rich dead plants and animals, have continued to dominate the energy source and drive the industrialized world. About 70–80% of the global energy consumption is gotten from fossil fuels [1]. Fossil fuels, comprising coal, oil, and gas, are non-renewable and the main contributor to global warming and climate change. Extraction, refining, and utilization of fossil fuels have caused unimaginable degradation of the environment. Also, going by the rate of consumption, the global oil reserves estimated to be 1.65 trillion barrels may be fully depleted within the next five decades [2]. Also, increased population, accelerated industrial revolution, and increased mechanized farming has continued to cause an increased utilization of fossil fuels and consequently increased emission. The global consumption of fossil fuels was recorded as 121, 531 Terawatt-hour (TWh), 129,855 TWh, and 136,131 TWh for 2010, 2015, and 2019 respectively. On the other hand, the total carbon dioxide (CO2) emissions were documented to be 31.49 Billion Tonnes, 33.39 Billion Tonnes and 34.35 Billion Tonnes respectively (Figure 1). However, fuel consumption and CO2 emission plummeted in 2020 due to the Covid 19-imposed lockdown. With the relaxation of various travel restrictions and increased commercial and industrial activities, fuel consumption and emissions are expected to increase substantially. This is expected to escalate environmental degradation and climate change.
Global consumption (TWh) and CO2 emission (billion Tonnes) from coal, oil, and gas 2010–2020. Adapted from [
The use of biofuels is one of the panaceas for the unfavorable effects of fossil fuels in diesel engine applications. Biofuels are renewable fuels generated from fresh and living organisms. They usually occur in solid, liquid, or gaseous forms. Biofuels enjoy several benefits like renewability, ecological friendliness, feedstock accessibility, the elasticity of the production methods, and their amenability to existing fossil fuels pipeline infrastructure. Also, biofuels demonstrate matchless capability for the sustenance of the ecosystem [5, 6]. However, the high cost of production, increased NOx emission, and increased engine wear are major setbacks to the use of some biofuels. Also, the conflict between some of the feedstocks with the food chain, undeveloped production technologies, and unfavorable government policies have continued to militate against the wide production and utilization of biofuels in many jurisdictions. Notwithstanding these impediments and complications, biofuels remain a clean, safe, and sustainable replacement for fossil fuels and a strategic resource for CO2 reduction and carbon mitigation to avert the ominous environmental catastrophe [5, 7, 8].
The transport sector utilizes more than 90% of the total fossil fuel products and about 28% of the total global energy and is a major contributor to the emission of dangerous gases [9]. Solid biofuels (wood chips, briquettes, sawdust), liquid biofuels (biodiesel, renewable diesel, bioethanol), and gaseous biofuels (biogas, biomethane, syngas) have been used as reliable and environmentally benign candidates for fossil-based fuels. The overall energy consumed in the transportation sector was 110 million terra joule (TJ) in 2015 while 129 billion liters of liquid biofuel were utilized in 2016 and the quantity is predicted to increase to 180 billion liters by 2050 [10]. The number of global on-road vehicles which was about 1.2 billion is projected to increase to 2 billion and 2.5 billion vehicles in 2035 and 2050 respectively [11]. Compression ignition (CI) engines because of their versatility, strength, and multi-faceted usage, have continued to be used as passenger vehicles, construction machinery, agricultural equipment as well as rail and heavy-duty trucks. Fueling these engines with petroleum-based diesel (PBD) fuel will exacerbate the detrimental effects on the health and environment.
To increase the share of renewable fuels in the transportation sector energy mix, renewable energy sources and other less polluting fuels such as electricity, natural gas, bioethanol, propane, biodiesel, jet fuel, and biomethane have been tested. These renewable and less polluting energy sources have been found to meet the huge demand and requirements for bioenergy and secure the energy supply. For example, the deployment of electric vehicles has been plagued with the high cost, infrastructural deficit, and long duration of charging of the battery in many jurisdictions. The liquid biofuels have the advantage of being produced for wastes and other renewable sources with a low carbon footprint, thereby making them a more economically viable option [12]. Globally, more concerted efforts geared at increasing the production and utilization of renewable fuels are needed to achieve Sustainable Development Goals and ensure environmental sustainability. Also, more public awareness and education, targeted policy, and research and development (R & D) aimed at increasing the production and utilization of liquid biofuels should be intensified.
Concerns over the environmental, social, economic, and supply of world energy have been addressed by governments in various jurisdictions. Possible solutions include the introduction of biofuel into the energy mix by encouraging and incentivizing the production and utilization of biofuels. The desire to popularize the application of these biofuels, particularly for CI engines applications, has gained considerable attention in recent years. A lot of studies have been carried out and reported on the production and utilization of biodiesel and bioethanol as CI engine fuels. In previous research, Saravanan et al. [13], Khan et al. [14], Krishna et al. [15], and Shirneshan et al. [16], among several others investigated the performance and emission characteristic of biodiesel, ethanol, and biodiesel-ethanol blends on CI engines. The outcomes of their studies showed the benefits and shortcomings of the deployment of these renewable fuels in CI engines with particular attention to Hydrogenated Derived Renewable Diesel (HDRD). In their various studies, they confirmed the superiority of HDRD over biodiesel and PBD fuels for CI engine transport applications. Recently Chia et al. [12] and Kumar et al. [17] demonstrated their preference for HDRD over biodiesel, ethanol, and other liquid biofuels. They cited the superior heating value, excellent transport and storage stability, and non-corrosive nature of HDRD as some of the reasons.
Bearing in mind the ongoing efforts at finding more sustainable renewable fuels to power CI engines, and the various challenges encountered with the usage of biodiesel and bioethanol, the relevant question to ask is how has HDRD performed as an alternative fuel for CI engines? . How effective is HDRD as CI engine fuel from the standpoint of performance and emission characteristics? The motivation for this study is the desire to improve the quantum and quality of information and awareness on HDRD as a transportation fuel to assist consumers, fuel refiners, and engine manufacturers in making informed decisions in fuel selection. The current effort aims to investigate the performance and emission characteristics of CI engines fueled with HDRD.
Overall, the outcomes of this work will equip governments, policy formulating agencies, industry experts, researchers, and the general public with the requisite information on the application of HDRD in CI engines. It is also hoped that research funding bodies will be encouraged to provide more funds for future R & D to stimulate investigation into novel strategies for production and utilization of the HDRD. To achieve this, the article will be divided into subheadings to discuss HDRD as a renewable fuel, performance of HDRD in CI engine, emission characteristics of HDRD as CI engine fuel, implications of HDRD as CI engine fuel, and conclusion. The current effort is, however, limited to a desktop review of published literature on the performance and emission behavior of HDRD in diesel engines.
HDRD, otherwise called renewable diesel, green diesel, and hydrotreated vegetable oil, is a second-generation liquid biofuel. HDRD is chemically identical to PBD fuel but not the same as biodiesel. Biodiesel, also referred to as Fatty Acid Methyl Ester (FAME), is a mono-alkyl ester mostly generated by the catalytic transesterification process, HDRD is a blend of straight-chain and branched paraffin hydrocarbons within the C15–C18 range. The similarities in properties of petroleum diesel and HDRD allow it to meet the automotive fuel specifications, seamless application of HDRD in CI engines, and use of the same transport infrastructure [18, 19]. The global production of HDRD grew from 1.5 billion liters in 2011 to 9.5 billion liters in 2017 and is projected to become 13 billion liters in 2024 [20, 21]. Also, due to attractive properties and advantageous utilization of HDRD, the production capacity and the share of biofuel production have been increasing since 2019, globally (Figure 2). This trend is expected to continue.
Global HDRD production capacity and share in biodiesel production 2019–2022. Adapted from [
To meet up with the growing demand and utilization of HDRD, many commercial production plants have been installed and commissioned using advanced technologies (Table 1). Figure 3 shows the producer, capacity/year, and country of location of HDRD plants, worldwide. The HDRD is usually produced through catalytic hydroprocessing, decarboxylation, and/or decarbonylation of triacylglycerol. During hydroprocessing, hydrogen is applied for the removal of oxygen from the triglyceride molecules through decarboxylation and hydrodeoxygenation, depending on the catalyst selection and process conditions [24]. This can be accomplished either through a co-processing arrangement of a distillate hydroprocessing unit or by building a standalone unit as shown in Figure 4. Figure 5 shows the reaction pathways for HDRD production.
Company | Location | Capacity (tonnes/year) | Technology/process |
---|---|---|---|
Neste | The Netherlands | 1,000,000 | NExBTL |
Neste | Singapore | 1,000,000 | NExBTL |
Diamond Green Diesel | USA | 900,000 | Ecofining™ |
UOP/Eni | Italy | 780,000 | Ecofining™ |
Total | France | 500,000 | Vegan® by Axens |
Petro oil & Gas | UAE | 500,000 | UOP Renewable jet fuel process |
Neste | Finland | 380,000 | NExBTL |
REG Inc | USA | 250,000 | Dynamic Fuels LLC |
AltAir Fuels | USA | 130,000 | Ecofining™ |
UPM Biofuels | Finland | 100,000 | UPM BioVerno |
Petro oil & Gas | UAE | 500,000 | UOP Renewable jet fuel process |
Locations, company, and capacity/year of major HDRD plants [
Schematic diagram of HDRD production by hydroprocessing. Adapted from [
Reaction pathways for HDRD production [
Generally, HDRD can be synthesized from feedstocks such as sugar, starch, or cellulosic materials through various techniques like catalytic conversion, Biomass to Liquid, and pyrolysis. Also, vegetable oil, waste cooking oil, waste animal fats, recovered fats, and other triglycerides-bearing oils are converted into HDRD by pyrolysis and hydroprocessing. The outcome of the use of some renewable feedstocks such as waste cooking oil, animal fats, algae oil, jatropha oil, and Karanja oil have shown high product yield under moderate production conditions (Table 2). The conversion of triglycerides to HDRD through hydroprocessing entails chemical reactions such as hydrogenation, decarboxylation, decarbonylation, and hydrodeoxygenation reactions [12]. HDRD is produced in line with the methods and specifications of the American Society for Testing and Materials (ASTM) D975 and the European Committee for Standardization EN 590 [27]. Table 3 shows the specifications and International Standards Organizations (ISO) test method for HDRD.
Feedstock | Production process | Yield (%) | Remark |
---|---|---|---|
Waste cooking oil | Deoxygenation | >95 | Cheap and readily available feedstock |
Waste cooking oil | Hydrodeoxygenation | 43.8 | Low-cost and non-edible feedstock |
Waste cooking oil | Hydrotreatment | 100 | High product yield Waste to fuel |
Karanja oil | hydroprocessing | 80 | Nonedible oil |
Karanja oil | hydrogenation | 100 | High product yield |
Karanja oil | Hydrotreating | 82.6 | Non-edible oil |
Algae oil | Hydroprocessing | 80 | Non-edible feedstock |
Palm oil | Hydrodeoxygenation | 100 | High product yield |
Palm oil | Deoxygenation | >95 | Readily available feedstock Easy conversion method |
Palm oil | Hydrodeoxygenation | 100 | High product yield |
Palm oil | Hydrodeoxygenation | >89 | Readily available feedstock |
Animal Fats | Deoxygenation | 90 | Waste to fuel, cheap feedstock |
Animal Fats | Deoxygenation | 100 | High product yield |
Animal Fats | Deoxygenation | 94.2 | High product yield, non-edible feedstock |
Jatropha oil | Hydroprocessing | 98.5 | High product yield |
Performance of some renewable feedstocks for HDRD production [12].
Property | Unit | EN 590 | ASTM D975 | Test method |
---|---|---|---|---|
Density @15°C | kg/m3 | 820–845 | — | EN ISO 3675, EN ISO 12185 |
Kinematic viscosity @ 40°C | mm2/s | 2.0–4.5 | 1.9–4.1 | EN ISO 3104 |
Flashpoint (Closed cup) | °C | 55 | 52 | EN ISO 2719 |
Cloud point | °C | — | W: −5 °C S: 3 °C | — |
Cold filter plugging point | °C | — | W: −15 °C S: −5°C | — |
Cetane number | — | 51 | 40 | EN ISO5165 |
Cetane index | — | 46 | 40 | EN ISO 4264 |
Water and sediment | % vol | 0.02w/w | 0.06 | EN ISO 12937 |
Total contamination | ppm | 24 | — | EN ISO 12662 |
Carbon residue | wt % | 0.3 | 0.36 | EN ISO 10370 |
Total ash | wt % | 0.01 | 0.01 | EN ISO 6245 |
Total sulfur | mg/kg | 10 | 15 | EN ISO 20846, EN ISO 20847, EN ISO 2088 |
Lubricity @ 60°C | WSD, microns | 460 | 520 | EN ISO 12156-1 |
Copper strip corrosion | 3 h @ 50 °C | No. 1 | No. 3 | EN ISO 2160 |
The cetane number of HDRD, a measure of the ignition quality of diesel fuel in CI engines, is usually between 820 Kg/m3 and 845 Kg/m3 and higher than PBD fuel and biodiesel. The high value of cetane number allows a CI engine fueled with HDRD to operate with higher thermal efficiency and at a lower fuel consumption [12]. The lower value of density, compared with biodiesel or PBD fuel indicates reduced volumetric heating value and increased fuel consumption. The high lubricity of HDRD ensures minimum engine wear, noiseless running, and smooth engine operation [12, 20].
CI engines are a form of an internal combustion engine. As heat engines, CI engines convert the chemical energy in the fuel into mechanical work [30]. The diesel fuel is passed into the engine through a fuel injector into the cylinder and mixed with preheated air where the mixture auto ignites due to the movement of the piston. The piston reciprocates between the Bottom Dead Center (BDC) and the Top Dead Center (TDC). The application of HDRD in CI engines makes the engine behave in a certain way and the efficacy of the fuel is measured in line with some set performance criteria and emission characteristics.
Desirous to find solutions to the obvious inadequacies in the utilization of PBD fuel in CI engines, HDRD has been used by various researchers. However, the major performance criteria used in measuring the performance characteristics include power, torque, fuel consumption, thermal efficiency, and mean effective pressure. For example, the brake specific fuel consumption (BSFC) is an important performance metric that measures the conversion of the fuel to useful work while mechanical efficiency calculates the effectiveness of the engine as the ratio of the brake power to the indicated power. On the other hand, the brake thermal efficiency (BTE) measures the ability of the engine to efficiently convert the chemical energy in the fuel to useful work.
Using these performance criteria, the engine metrics of HDRD is compared with that of PBD fuel when used in a CI engine are compiled in Table 4. When HDRD was used to power a 6.5 liters, indirect-injection, water-cooled military diesel engine, it was reported that an increase in load led to increased fuel consumption and improved brake mean effective pressure (BMEP). Also, at a given fuel consumption threshold, an increment in engine speed caused a reduction in the brake torque. It was also reported that the best BSFC was achieved at high loads and low engine speed. This is because at low speed, engine friction is reduced and fuel consumption is minimized. When compared with PBD fuel, the application of HDRD resulted in better engine performance in all the engine metrics measured [31]. Also, Ogunkoya et al. [32], Mangus et al. [33], and Kim et al. [34] reported that their respective tested CI engines fueled with HDRD presented lower BSFC when compared with PBD fuel. They attributed the lower BSFC to the lower viscosity and the impact of high heating value which allows for better fuel atomization.
Fuel tested | Engine parameters | Test conditions | Result of the test | Remark | Ref. |
---|---|---|---|---|---|
HRDR and PBD | 6.5 L, WC, indirect injection | Varying engine speed and load | ↑ BMEP ↑ BSFC at high load and low engine speed | HDRD was found better than PBD fuel | [31] |
HDRD and PBD | 1C, 1S, DI, AC | Constant engine speed at varying load | Higher mechanical efficiency and BTE with increased load BSFC decreased with increased engine load | HDRD performed better than PBD fuel | [32] |
HDRD and PBD | 1S, NA, 0.435 L, 6.2 kW, common rail | Varying engine load and speeds | Reduced BSFC at all load and speeds | HDRD is better than PBD fuel | [33] |
HDRD, biodiesel, and PBD | 1.5 L passenger car, intercooler | Varying engine load and speeds | Reduced BSFC at all load and speeds | Lower fuel consumption than biodiesel and PBD fuel | [34] |
HDRD and biodiesel | 1C, 4S, DI, 4.3 kW | Varying loading | ↑BSFC at higher loading ↑ BTE as loading increases | HDRD performed better than biodiesel | [35] |
HDRD, biodiesel, PBD, and their blends | 1C, 4S, DI, water-cooled | Varying engine loads | Higher BSFC, BTE, and EGT than biodiesel and PBD | HDRD is preferred over biodiesel and PBD | [36] |
HDRD and PBD fuel blends | 1C, 4S, common rail AVL 501 heavy duty engine | Varying engine loading conditions | ↑BSFC increased by 2.8% compared with PBD ↑HDRD displayed better BTE | HDRD performed better than PBD in heavy duty CI engines across engine loads | [37] |
HDRD and PBD blends | 1C, 4S, common rail Ricardo Hydra light duty engine | Varying engine loading conditions | ↑Better BSFC compared with PBD ↑HDRD displayed better BTE | HDRD was adjudged a better fuel than PBD in light duty CI engines across engine loads | [37] |
HDRD and biodiesel blends | 4C, DI, WC, 1.9 TDI diesel engine | Varying engine loads | ↑ Improved BTE and BSFC across the loading condition | HDRD performed better than biodiesel and the blends | [38] |
Performance of CI engine fueled with HDRD.
↑ = increased, ↓ = decreased, L = liters, C = Cylinder, S = Stroke, DI = Direct injection, NA = Naturally aspirated, AC = air-cooled, WC = water-cooled.
In research, Janarthanam et al. [35] compared the engine performance of HDRD with that of biodiesel in a vertical single-cylinder, four strokes, and 4.3 kW Kirloskar engine across engine loads. They reported that HDRD showed higher BSFC and BTE, particularly at higher engine loads. They attributed these results to the kinematic viscosity and calorific value of HDRD. Similarly, Singh et al. [36], compared the performance of HDRD with biodiesel and PBD blends in a single cylinder, four strokes 3.5 kW direct injection water-cooled test rig at various engine loads. They reported a higher BSFC, BTE, and EGT with HDRD than with biodiesel and PBD blends, as shown in Figure 6. According to them, higher calorific value and cetane index of HDRD compared with biodiesel and PBD accounted for these results. Though HDRD has not been widely used in CI engines, a few reported cases show that HDRD is a better alternative to PBD fuel when compared with biodiesel. The properties of HDRD are a major factor propelling the application of HDRD as a viable and effective substitute for PBD fuel.
BTE, BSEC, and EGT of HDRD at various engine loads [
Similarly, Preuß et al. [37] tested HDRD and its blends on both light and heavy duty single cylinder CI engines and compared the results with PBD fuel under various operating conditions. The heavy duty research engine was equipped with an AVL 501 single cylinder engine while the light duty research engine had a Ricardo Hydra engine equipped with a Volvo NED4 cylinder head. The authors reported that the use of HDRD in both light and heavy duties engines led to improved BTE and BSFC for all the engine loading conditions. They attributed these results to the high oxygen content and lower heating value of HDRD compared to PBD and their blends. Using HDRD and biodiesel blends in a 4 cylinder 1.9 TDI CI engine text bed, Shepel et al. [38] reported that HDRD generated better BTE and BSFC than biodiesel and its blends. The results are due to the heating value and the specific heat of combustion of HDRD. This result confirms the assertion that HDRD is a better fuel than biodiesel for transportation applications of CI engines.
Kim et al. [34] reported the outcomes of the exhaust test carried out on a passenger car with an intercooler fueled with unblended HDRD and compared the results with when PBD fuel was used. They reported a reduction in particulate matter (PM), nitrogen oxide (NOx), carbon monoxide (CO), and total hydrocarbon content (THC) emissions. They attributed these results to the properties of HDRD which allows more complete combustion. Mangus et al. [33] also reported the same pattern of results affirming that the CI engine fueled with HDRD emits less NOx, CO, PM, and THC than when the same engine is fueled with PBD fuel under the same engine speed and load. In another research, da Costa et al. [39] reported that a single cylinder power generation CI engine operated with HDRD synthesize from sugarcane emitted less CO, HC, NOx, and PM when compared with PBD fuel. The same pattern of results was reported by Ogunkoya et al. [32], Vojtisek-Lom et al. [40], and Na et al. [41] who, in their separate studies, affirmed that CI engines fueled on HDRD emitted less CO, CO2, HC, NOx, and soot.
However, Karavalakis et al. [42] and Gysel et al. [43] reported a slight increment in the CO, CO2, NOx, and PM emissions in their studies, as shown in Table 5. The higher PM was attributed to the higher cetane number of the tested HRDR fuel which promoted the growth of the diffusive combustion. The higher NOx and PM emissions eliminate the benefits of the aromatic-free characteristics associated with using HDRD fuels. The emission of two greenhouse gases, CO2 and N2O were found to be lower with the use of HDRD. This is one of the benefits of the application of HDRD in CI engines. Janarthanam et al. [35] studied the emission characteristics of compared the engine performance of a vertical single cylinder, four strokes, 4.3 kW Kirloskar fueled with HDRD and biodiesel. They reported lower emissions of CO, HC, NOx, and smoke due to higher methyl esters and oxygen contents of the tested HDRD. Similarly, Singh et al. [36], compared the performance of HDRD with biodiesel and PBD blends in a single cylinder, four strokes 3.5 kW direct injection water-cooled test rig at various engine loads. They reported that HDRD generates lower CO, UHC, and smoke but higher NOx emission compared with biodiesel and PBD and their blends (Figure 7). Reduction in CO, CO2, and smoke emissions were due to higher oxygen content and cetane index of HDRD while the increment in NOx emission was attributed to the higher cetane index, ignition delay, higher cylinder temperature, and pressure as compared to biodiesel and PBD [36]. When HDRD and biodiesel blends were tested a six-cylinder, 6.37 L Mercedes-Benz CI engine equipped with a turbocharger and intercooler, HDRD generated less NOx but more PM emissions. The NOx and PM emissions generated from HDRD were found to be lesser than that from PBD and within the acceptable Euro III limit, as shown in Figure 8 [44].
Fuel tested | Engine parameters | Test conditions | Result of the test | Remark | Ref. |
---|---|---|---|---|---|
HDRD, biodiesel, and PBD | 1.5 L passenger car, intercooler | Varying engine load and speeds | ↓reduced CO, NOx, PM, and THC emission | HDRD emits less dangerous gases | [34] |
HDRD and PBD | 1S, NA, 6.2 kW, common-rail | Varying engine load and speeds | Emission of less NOx, CO, PM, and THC | Emission of less dangerous gases | [33] |
HDRD and PBD | 1C, 4S, NA, AC, | Varying engine loads | Less CO, HC, NOx, and PM | Emission of fewer pollutants | [39] |
HDRD and PBD | 1C, 1S, DI, AC | Varying load | Lower emission of CO, CO2, HC, NOx, and soot | HDRD generates fewer pollutants than PBD fuel | [32] |
HDRD and PBD | 6C, turbocharged, WC, common rail | Varying engine loads and speeds | Lower HC, CO, CO2, NOx | HDRD produces less toxic emissions | [40] |
HDRD, biodiesel, and PBD | Freightliner truck with 2000 C15 Caterpillar engine | Test cycles | Reduced CO, THC, PM, and NOx | HDRD generates fewer exhaust gases than biodiesel and PBD fuel | [41] |
HDRD and PBD blends | 6C, 2014 Cummins ISX15 400ST diesel engine | Engine load and blends | Lower, CO, CO2, THC Higher NOx, PM | The use of HDRD provides some emission benefits | [42] |
HDRD and PBD | 12C, 4S, Caterpillar D398 engine | Engine load | Reduced NOx A slight increment in CO, CO2, and PM | The use of HDRD provides some emission benefits | [43] |
HDRD and biodiesel | 1C, 4S, DI, 4.3 kW | Varying loading | Reduced CO, HC NOx, and smoke emissions | HDRD generates lesser exhaust gases than biodiesel | [35] |
HDRD, biodiesel, PBD and their blends | 1C, 4S, DI, water cooled | Varying engine loads | ↓CO, UHC, and smoke opacity emissions ↑ NOx emission | HDRD generates lower CO, UHC, smoke but higher NOx emission compared with biodiesel and PBD | [36] |
HDRD, PBD, and biodiesel | 6C, 2014 model year Cummins ISX15 400ST diesel engine | Varying engine loads | ↓CO, CO2, and smoke emissions ↑ NOx emission | HDRD generates lower CO, CO2, smoke but higher NOx | [40] |
HDRD and biodiesel blends | 6C, 6.37 L, Mercedes-Benz engine turbocharger and intercooler | Varying engine loads | ↓ NOx emission ↑ PM emission | Lower NOx but higher PM emission than PBD and biodiesel Emissions within Euro III limits | [44] |
HDRD and PBD fuel blends | 1C, 4S, common rail AVL 501 heavy duty engine | Varying engine loading conditions | ↑ Slight increment in NOx emission ↓ About 50% reduction in PM and soot emissions | The use of HDRD contributed to improved air quality | [37] |
HDRD and PBD blends | 1C, 4S, common rail Ricardo Hydra light duty engine | Varying engine loading conditions | ↑ Slight increment in NOx emission ↓ About 50% reduction in PM and soot emissions | HDRD fuel ensured lower soot and improved air quality | [37] |
HDRD and biodiesel blends | 4C, DI, WC, 1.9 TDI diesel engine | Varying engine loads | ↑ 8% CO2 emission ↓ 15% CO emission ↓ 18% smoke emission ↓ 14% HC emission ↓ 19% NOx emission | HDRD was more ecologically beneficial than biodiesel fuel | [38] |
HDRD and PBD fuel | Euro 3, 51 kW Fiat Panda vehicle | Varying engine loads | ↓27% HC ↓ 30% NOx ↓18% CO ↓ 3% CO2 ↓5% PM | HDRD will contribute to the attainment of air quality and environmental sustainability | [45] |
Emission characteristics of CI engine fueled with HDRD.
↑ = increased, ↓ = reduced, L = liters, C = Cylinder, S = Stroke, DI = Direct injection, NA = Naturally aspirated, AC = air-cooled, WC = water-cooled.
Emission characteristics of HDRD at various engine loads [
NOx and PM emissions of HDRD [
Similarly, light and heavy duty CI engines were fueled with HDRD and PBD fuels blends across various engine loads. The light duty engine was fixed a single cylinder, common rail, Ricardo Hydra, and Volvo NED4 cylinder head engine while the heavy duty engine consisted of a single cylinder, common rail, AVL 501, and Volvo D13 cylinder head. The outcome of the emission characteristics showed HDRD a slight increment in NOx emission and reduction in PM and soot emissions for both engine types fueled with HDRD across tested engine loads [37]. Shepel et al. [38] reported a reduction in CO, smoke, HC, and NOx emissions when HDRD was tested in a 4 cylinder, direct injection, water cooled, 66 kW, 1.9 TDI diesel engine test blend and the results compared with biodiesel fuel. There was, however an increment of 8% in CO2 emission which was a result of the higher oxygen content of HDRD compared to other tested fuels. Similar results were obtained when Dobrzyńska et al. [45] tested both HDRD and PBD fuels on a Euro 3, 51 kW Fiat Panda vehicle. They recorded a 27% reduction in HC, 30% in NOx, 18%, in CO, 3% in CO2, and 5% in PM emissions. They concluded that the adoption of HDRD as fuel for CI engines, particularly in the transport sector will reduce the emission of environmentally hazardous gasses, ensure cleaner air quality, and ultimately improve human health.
The increased utilization of HDRD as transport engine fuel has triggered renewed interest in R & D and funding of the production infrastructure across the globe. Also, the share of HDRD in global biofuel moved from about 5% in 2019 to about 10% in 2021 is pointed to its increased global production capacity. This trend, which is expected to continue, typifies the concerted efforts by countries to increase their share of renewable fuel in their energy mix. The simple production method, low cost feedstock, ecofriendly nature, improved performance, and moderate emission generated from HDRD, in comparison with PBD and biodiesel makes HDRD a fuel of the future.
The outcome of most research showed that HDRD increased the BTE of the tested CI engine by more than 20%. For example, Kumar et al. [17] reported an increase in BTE from 21 to 23% at lower engine loads. However, at higher loads, a 34%, 36% and 32% increment were recorded at 40%, 80%, and 100% engine loads, respectively. In terms of emission, most studies reported a reduction of about 15%, 30%, 35%, and 75% reductions in NOx, HC, CO, and smoke emission at full load conditions. However, some authors reported that the NOx is unchanged while some reported an increased NOx emission from HDRD fueled CI engine. The aggregate of opinions suggests that HDRD performs better and generates fewer emissions than biodiesel, and PBD. This is very significant because it justifies increased investment in the production and utilization of HDRD.
When compared with HDRD with PBD and biodiesel, available information shows the preference for HDRD by most researchers and consumers. For example, using the major performance criteria, HDRD performed better as ICEs fuel than PDF and biodiesel. Also, the cost of production of HDRD is comparably lower than that of biodiesel. Just like biodiesel, HDRD is generated from lignocellulosic biomass, waste oils, and animal fats. HDRD is not only ecofriendly, and cost effective but also safeguards the environment by emitting fewer toxic gases. Table 6 compares the performance, emission, production, and application of PBD, biodiesel, and HDRD.
Parameter | PBD | Biodiesel | HDRD | Ref. |
---|---|---|---|---|
Engine performance | Poor performance in ICEs |
|
| [32, 33] |
Emission Characteristics | High emission of CO, CO2, smoke, and PM |
|
| [33, 41] |
Renewability | Nonrenewable | Renewable though can affect food chain | Renewable | [36] |
Sustainability | Not sustainable |
|
| [46] |
Cost of production |
| Moderately high | Reduced cost of production | [35] |
Production infrastructure | Complex and expensive | Costly | Can be upgraded | [36, 46] |
Application |
|
|
| [47] |
Comparison of PBD and biodiesel with HDRD.
The utilization of HDRD as CI fuel is to assist in energy security and provide sustainable and environmentally friendly alternatives to the use of PBD fuel. Though the use of biodiesel, bioethanol, and biogas have been well established with notable advantages, HDRD is to help fill the performance gap created by these renewable fuels. The use of HDRD ensures better engine performance creating more options for running a CI engine. One of the disadvantages of using biodiesel in an unretrofitted CI engine is the emission of NOx. The use of HDRD emits less NOx in most cases. In other to reduce the emission of NOx, the concentration of hexadecane and dodecane in the fuel should be increased. This can be achieved during production by altering the feedstock after production by the addition of additives. This however negates the idea of the carbon chain length effect on NOx emission [48].
In the current effort, the performance and emission characteristics of using HDRD in a CI engine have been presented. HDRD is a sustainable replacement for PBD fuels and a more effective renewable fuel than biodiesel. The application of HDRD in CI engines allows improved mechanical efficiency, BTE, and reduced fuel consumption across all engine loads and speeds. CI engines fueled with HDRD are reported to generate less CO, CO2, NOx, and PM when compared with PBD fuel. Though the production process for HDRD is more complex and expensive than biodiesel due to the high temperature and pressure involved, the overall advantage of using HDRD surpasses that of biodiesel.
Going forward, more investigations are needed to simplify the production process of HDRD to domesticate the procedure. More awareness is needed to popularize the production and utilization of HDRD among the population. There should be tax holidays and other incentives for the producers of HDRD as a way to encourage its production and utilization. Governments, across jurisdictions, should provide more funds for R & D in the feedstock, production techniques, standardization, and utilization of HDRD for various applications.
The authors declare no conflict of interest.
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Lubarsky, D. Shcherbik, O. Bibik, Y. Gopala and B. T. Zinn",authors:[{id:"65353",title:"Dr.",name:"Eugene",middleName:null,surname:"Lubarsky",slug:"eugene-lubarsky",fullName:"Eugene Lubarsky"}]},{id:"57228",doi:"10.5772/intechopen.71002",title:"Thresholding Algorithm Optimization for Change Detection to Satellite Imagery",slug:"thresholding-algorithm-optimization-for-change-detection-to-satellite-imagery",totalDownloads:1631,totalCrossrefCites:6,totalDimensionsCites:11,abstract:"To detect changes in satellite imagery, a supervised change detection technique was applied to Landsat images from an area in the south of México. At first, the linear regression (LR) method using the first principal component (1-PC) data, the Chi-square transformation (CST) method using first three principal component (PC-3), and tasseled cap (TC) images were applied to obtain the continuous images of change. Then, the threshold was defined by statistical parameters, and histogram secant techniques to categorize as change or unchanged the pixels. A threshold optimization iterative algorithm is proposed, based on the ground truth data and assessing the accuracy of a range of threshold values through the corresponding Kappa coefficient of concordance. Finally, to evaluate the change detection accuracy of conventional methods and the threshold optimization algorithm, 90 polygons (15,543 pixels) were sampled, categorized as real change/unchanged zones, and defined as ground truth, from the interpretation of color aerial photo slides aided by the land cover maps to obtain the omission/commission errors and the Kappa coefficient of agreement. The results show that the threshold optimization is a suitable approach that can be applied for change detection analysis.",book:{id:"6126",slug:"colorimetry-and-image-processing",title:"Colorimetry and Image Processing",fullTitle:"Colorimetry and Image Processing"},signatures:"René Vázquez-Jiménez, Rocío N. Ramos-Bernal, Raúl Romero-\nCalcerrada, Patricia Arrogante-Funes, Sulpicio Sanchez Tizapa and\nCarlos J. Novillo",authors:[{id:"213505",title:"Dr.",name:"René",middleName:null,surname:"Vázquez-Jiménez",slug:"rene-vazquez-jimenez",fullName:"René Vázquez-Jiménez"},{id:"213527",title:"Dr.",name:"Raúl",middleName:null,surname:"Romero-Calcerrada",slug:"raul-romero-calcerrada",fullName:"Raúl Romero-Calcerrada"},{id:"213529",title:"Dr.",name:"Rocío N.",middleName:null,surname:"Ramos-Bernal",slug:"rocio-n.-ramos-bernal",fullName:"Rocío N. Ramos-Bernal"},{id:"213530",title:"MSc.",name:"Patricia",middleName:null,surname:"Arrogante-Funes",slug:"patricia-arrogante-funes",fullName:"Patricia Arrogante-Funes"},{id:"213531",title:"Dr.",name:"Carlos J.",middleName:null,surname:"Novillo",slug:"carlos-j.-novillo",fullName:"Carlos J. Novillo"},{id:"221412",title:"Dr.",name:"Sulpicio",middleName:null,surname:"Sánchez-Tizapa",slug:"sulpicio-sanchez-tizapa",fullName:"Sulpicio Sánchez-Tizapa"}]},{id:"53153",doi:"10.5772/66343",title:"Fractal Light Vortices",slug:"fractal-light-vortices",totalDownloads:1788,totalCrossrefCites:5,totalDimensionsCites:8,abstract:"Vortex lenses produce special wavefronts with zero-axial intensity, and helical phase structure. The variations of the phase and amplitude of the vortex produce a circular flow of energy that allows transmitting orbital angular momentum. This property is especially in optical trapping, because due to the orbital angular momentum of light, they have the ability to set the trapped particles into rotation. Vortex lenses engraved in diffractive optical elements have been proposed in the last few years. These lenses can be described mathematically as a two-dimensional (2D) function, which expressed in polar coordinates are the product of two different separable one-dimensional (1D) functions: One, depends only on the square of radial coordinate, and the other one depends linearly on the azimuthal coordinate and includes the topological charge. The 1D function that depends on the radial coordinate is known as a zone plate. Here, vortex lenses, constructed using different aperiodic zone plates, are reviewed. Their optical properties are studied numerically by computing the intensity distribution along the optical axis and the transverse diffraction patterns along the propagation direction. It is shown that these elements are able to create a chain of optical traps with a tunable separation, strength and transverse section.",book:{id:"5370",slug:"vortex-dynamics-and-optical-vortices",title:"Vortex Dynamics and Optical Vortices",fullTitle:"Vortex Dynamics and Optical Vortices"},signatures:"Federico J. Machado, Juan A. Monsoriu and Walter D. Furlan",authors:[{id:"186344",title:"Prof.",name:"Walter",middleName:null,surname:"Furlan",slug:"walter-furlan",fullName:"Walter Furlan"}]},{id:"58322",doi:"10.5772/intechopen.72603",title:"Image Segmentation Based on Mathematical Morphological Operator",slug:"image-segmentation-based-on-mathematical-morphological-operator",totalDownloads:1555,totalCrossrefCites:2,totalDimensionsCites:7,abstract:"Image segmentation is the process of partitioning a digital image into multiple regions (sets of pixels); the pixels in each region have similar attributes. It is often used to separate an image into regions in terms of surfaces, objects, and scenes, especially for object location and boundary extraction. Until now, many general-purpose algorithms and techniques have been proposed for image segmentation. Typical and traditional methods are: (1) threshold-based method; (2) edge-based method; and (3) region-based method. In this chapter, we propose an approach of image segmentation based on mathematical morphology operator: toggle operator. The experimental result shows that the proposed method can segment natural scene images into homogeneous regions effectively.",book:{id:"6126",slug:"colorimetry-and-image-processing",title:"Colorimetry and Image Processing",fullTitle:"Colorimetry and Image Processing"},signatures:"Jianjun Chen, Haijian Shao and Chunlong Hu",authors:[{id:"212306",title:"Ph.D.",name:"Jianjun",middleName:null,surname:"Chen",slug:"jianjun-chen",fullName:"Jianjun Chen"}]},{id:"53041",doi:"10.5772/66323",title:"Partially Coherent Vortex Beam: From Theory to Experiment",slug:"partially-coherent-vortex-beam-from-theory-to-experiment",totalDownloads:2046,totalCrossrefCites:4,totalDimensionsCites:6,abstract:"Partially coherent vortex beam exhibits some unique and interesting properties, for example, correlation singularities (i.e., ring dislocations) exist in its correlation function, and one can determine the magnitude of the topological charge of the vortex phase from the number of the ring dislocations. Modulating the coherence of a vortex beam provides a convenient way for shaping its focused beam spot, which is useful for material processing and optical trapping. Furthermore, a partially coherent vortex beam has an advantage over a partially coherent beam without vortex phase for reducing turbulence‐induced scintillation, which will be useful in free‐space optical communications. We introduce recent theoretical and experimental developments on partially coherent vortex beams.",book:{id:"5370",slug:"vortex-dynamics-and-optical-vortices",title:"Vortex Dynamics and Optical Vortices",fullTitle:"Vortex Dynamics and Optical Vortices"},signatures:"Xianlong Liu, Lin Liu, Yahong Chen and Yangjian Cai",authors:[{id:"186341",title:"Prof.",name:"Yangjian",middleName:null,surname:"Cai",slug:"yangjian-cai",fullName:"Yangjian Cai"},{id:"194234",title:"Dr.",name:"Xianlong",middleName:null,surname:"Liu",slug:"xianlong-liu",fullName:"Xianlong Liu"},{id:"194235",title:"Dr.",name:"Lin",middleName:null,surname:"Liu",slug:"lin-liu",fullName:"Lin Liu"},{id:"194236",title:"Dr.",name:"Yahong",middleName:null,surname:"Chen",slug:"yahong-chen",fullName:"Yahong Chen"}]}],mostDownloadedChaptersLast30Days:[{id:"53106",title:"Dynamical Particle Motions in Vortex Flows",slug:"dynamical-particle-motions-in-vortex-flows",totalDownloads:2264,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"Circular vortex flows generate interesting self-organizing phenomena of particle motions, that is, particle clustering and classification phenomena. These phenomena result from interaction between vortex dynamics and relaxation of particle velocity due to drag. This chapter introduces particle clustering in stirred vessels and particle classification in Taylor vortex flow based on our previous research works. The first part of this chapter demonstrates and explains a third category of solid-liquid separation physics whereby particles spontaneously localize or cluster into small regions of fluids by taking the clustering phenomena in stirred vessels as an example. The second part of this chapter discusses particle classification phenomena due to shear-induced migration. Finally, this chapter discusses about process intensification utilizing these self-organizing phenomena of particle motions in vortex flows.",book:{id:"5370",slug:"vortex-dynamics-and-optical-vortices",title:"Vortex Dynamics and Optical Vortices",fullTitle:"Vortex Dynamics and Optical Vortices"},signatures:"Steven Wang and Naoto Ohmura",authors:[{id:"186403",title:"Prof.",name:"Naoto",middleName:null,surname:"Ohmura",slug:"naoto-ohmura",fullName:"Naoto Ohmura"},{id:"187311",title:"Dr.",name:"Steven",middleName:null,surname:"Wang",slug:"steven-wang",fullName:"Steven Wang"}]},{id:"53651",title:"Vortex Spinning System and Vortex Yarn Structure",slug:"vortex-spinning-system-and-vortex-yarn-structure",totalDownloads:5009,totalCrossrefCites:1,totalDimensionsCites:5,abstract:"Studying the yarn formation with the swirling air concept arouse of interest of the researchers for a long time because it appears to be easy to understand as a spinning principle. These kinds of systems are known as the vortex yarn spinning systems. The air-jet spinning methods have been developed since it is possible to eliminate the movable elements as the spindle and the traveler in ring spinning or the centrifuge in rotor spinning. The success of Murata vortex spinning (MVS) system which is the newest system after all studies of air-jet systems has been much acceptable especially for the spinning ability of 100% cotton in high speeds (500 m/min) and the yarn structure resembling ring yarn structure rather than rotor yarns. This study summarizes the historical background of vortex spinning, the spinning principle and the structure of the yarn spun on this system, as well as the factors influencing the yarn quality and finally the developments in vortex spinning technology.",book:{id:"6028",slug:"vortex-structures-in-fluid-dynamic-problems",title:"Vortex Structures in Fluid Dynamic Problems",fullTitle:"Vortex Structures in Fluid Dynamic Problems"},signatures:"Gizem Karakan Günaydin and Ali Serkan Soydan",authors:[{id:"186277",title:"Dr.",name:"Gizem",middleName:null,surname:"Karakan Günaydin",slug:"gizem-karakan-gunaydin",fullName:"Gizem Karakan Günaydin"},{id:"186607",title:"Dr.",name:"Ali",middleName:null,surname:"Serkan Soydan",slug:"ali-serkan-soydan",fullName:"Ali Serkan Soydan"}]},{id:"57228",title:"Thresholding Algorithm Optimization for Change Detection to Satellite Imagery",slug:"thresholding-algorithm-optimization-for-change-detection-to-satellite-imagery",totalDownloads:1631,totalCrossrefCites:6,totalDimensionsCites:11,abstract:"To detect changes in satellite imagery, a supervised change detection technique was applied to Landsat images from an area in the south of México. At first, the linear regression (LR) method using the first principal component (1-PC) data, the Chi-square transformation (CST) method using first three principal component (PC-3), and tasseled cap (TC) images were applied to obtain the continuous images of change. Then, the threshold was defined by statistical parameters, and histogram secant techniques to categorize as change or unchanged the pixels. A threshold optimization iterative algorithm is proposed, based on the ground truth data and assessing the accuracy of a range of threshold values through the corresponding Kappa coefficient of concordance. Finally, to evaluate the change detection accuracy of conventional methods and the threshold optimization algorithm, 90 polygons (15,543 pixels) were sampled, categorized as real change/unchanged zones, and defined as ground truth, from the interpretation of color aerial photo slides aided by the land cover maps to obtain the omission/commission errors and the Kappa coefficient of agreement. The results show that the threshold optimization is a suitable approach that can be applied for change detection analysis.",book:{id:"6126",slug:"colorimetry-and-image-processing",title:"Colorimetry and Image Processing",fullTitle:"Colorimetry and Image Processing"},signatures:"René Vázquez-Jiménez, Rocío N. Ramos-Bernal, Raúl Romero-\nCalcerrada, Patricia Arrogante-Funes, Sulpicio Sanchez Tizapa and\nCarlos J. Novillo",authors:[{id:"213505",title:"Dr.",name:"René",middleName:null,surname:"Vázquez-Jiménez",slug:"rene-vazquez-jimenez",fullName:"René Vázquez-Jiménez"},{id:"213527",title:"Dr.",name:"Raúl",middleName:null,surname:"Romero-Calcerrada",slug:"raul-romero-calcerrada",fullName:"Raúl Romero-Calcerrada"},{id:"213529",title:"Dr.",name:"Rocío N.",middleName:null,surname:"Ramos-Bernal",slug:"rocio-n.-ramos-bernal",fullName:"Rocío N. Ramos-Bernal"},{id:"213530",title:"MSc.",name:"Patricia",middleName:null,surname:"Arrogante-Funes",slug:"patricia-arrogante-funes",fullName:"Patricia Arrogante-Funes"},{id:"213531",title:"Dr.",name:"Carlos J.",middleName:null,surname:"Novillo",slug:"carlos-j.-novillo",fullName:"Carlos J. Novillo"},{id:"221412",title:"Dr.",name:"Sulpicio",middleName:null,surname:"Sánchez-Tizapa",slug:"sulpicio-sanchez-tizapa",fullName:"Sulpicio Sánchez-Tizapa"}]},{id:"57575",title:"Colorimetry and Dichromatic Vision",slug:"colorimetry-and-dichromatic-vision",totalDownloads:1739,totalCrossrefCites:2,totalDimensionsCites:3,abstract:"Normal trichromats have three types of cone photoreceptors: L, M, and S cones (most sensitive to long, medium, or short wavelengths, respectively). Therefore, standard colorimetry is based on three variables (X, Y, Z). Dichromats only have two types of functional cones due to genetic factors. The main consequences are that dichromats (1) confuse colors that can only be discriminated by the response of the type of cone they lack and (2) make errors when naming colors. Chromaticity diagrams can be used to specify dichromats’ color confusions. Confusion points represent imaginary stimuli that only activate L, M, or S cones. Confusion lines radiate from confusion points and represent pseudoisochromatic stimuli (i.e., colors confused by the corresponding type of dichromat if presented at an appropriate intensity). Dichromat’s color appearance models have been developed to simulate the colors supposedly seen by dichromats, and there exist color simulation tools that implement some of those models.",book:{id:"6126",slug:"colorimetry-and-image-processing",title:"Colorimetry and Image Processing",fullTitle:"Colorimetry and Image Processing"},signatures:"Humberto Moreira, Leticia Álvaro, Anna Melnikova and Julio Lillo",authors:[{id:"208770",title:"Dr.",name:"Humberto",middleName:null,surname:"Moreira Villegas",slug:"humberto-moreira-villegas",fullName:"Humberto Moreira Villegas"},{id:"208826",title:"Dr.",name:"Leticia",middleName:null,surname:"Álvaro",slug:"leticia-alvaro",fullName:"Leticia Álvaro"},{id:"208827",title:"BSc.",name:"Anna",middleName:null,surname:"Melnikova",slug:"anna-melnikova",fullName:"Anna Melnikova"},{id:"208828",title:"Prof.",name:"Julio",middleName:null,surname:"Lillo",slug:"julio-lillo",fullName:"Julio Lillo"}]},{id:"31571",title:"Fluid Dynamics of Gas - Solid Fluidized Beds",slug:"fluid-dynamics-of-gas-solid-fluidized-beds",totalDownloads:10130,totalCrossrefCites:1,totalDimensionsCites:3,abstract:null,book:{id:"1013",slug:"advanced-fluid-dynamics",title:"Advanced Fluid Dynamics",fullTitle:"Advanced Fluid Dynamics"},signatures:"Germán González Silva, Natalia Prieto Jiménez and Oscar Fabio Salazar",authors:[{id:"64562",title:"Dr.",name:"German",middleName:null,surname:"Gonzalez Silva",slug:"german-gonzalez-silva",fullName:"German Gonzalez Silva"},{id:"64572",title:"MSc.",name:"Natalia",middleName:null,surname:"Prieto Jimenez",slug:"natalia-prieto-jimenez",fullName:"Natalia Prieto Jimenez"},{id:"80971",title:"MSc.",name:"Oscar Fabio",middleName:null,surname:"Salazar",slug:"oscar-fabio-salazar",fullName:"Oscar Fabio Salazar"}]}],onlineFirstChaptersFilter:{topicId:"1217",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},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:89,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:103,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:31,numberOfPublishedChapters:314,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:11,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:112,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:105,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:16,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:4,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:14,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{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"}}}},{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"}}}}]},series:{item:{id:"25",title:"Environmental Sciences",doi:"10.5772/intechopen.100362",issn:"2754-6713",scope:"
\r\n\tScientists have long researched to understand the environment and man’s place in it. The search for this knowledge grows in importance as rapid increases in population and economic development intensify humans’ stresses on ecosystems. Fortunately, rapid increases in multiple scientific areas are advancing our understanding of environmental sciences. Breakthroughs in computing, molecular biology, ecology, and sustainability science are enhancing our ability to utilize environmental sciences to address real-world problems.
\r\n\tThe four topics of this book series - Pollution; Environmental Resilience and Management; Ecosystems and Biodiversity; and Water Science - will address important areas of advancement in the environmental sciences. They will represent an excellent initial grouping of published works on these critical topics.
\r\n This topic aims to provide a comprehensive overview of the latest trends in Oral Health based on recent scientific evidence. Subjects will include an overview of oral diseases and infections, systemic diseases affecting the oral cavity, prevention, diagnosis, treatment, epidemiology, as well as current clinical recommendations for the management of oral, dental, and periodontal diseases.
",coverUrl:"https://cdn.intechopen.com/series_topics/covers/1.jpg",hasOnlineFirst:!0,hasPublishedBooks:!0,annualVolume:11397,editor:{id:"173955",title:"Prof.",name:"Sandra",middleName:null,surname:"Marinho",slug:"sandra-marinho",fullName:"Sandra Marinho",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRGYMQA4/Profile_Picture_2022-06-01T13:22:41.png",biography:"Dr. Sandra A. Marinho is an Associate Professor and Brazilian researcher at the State University of Paraíba (Universidade Estadual da Paraíba- UEPB), Campus VIII, located in Araruna, state of Paraíba since 2011. She holds a degree in Dentistry from the Federal University of Alfenas (UNIFAL), while her specialization and professional improvement in Stomatology took place at Hospital Heliopolis (São Paulo, SP). Her qualifications are: a specialist in Dental Imaging and Radiology, Master in Dentistry (Periodontics) from the University of São Paulo (FORP-USP, Ribeirão Preto, SP), and Doctor (Ph.D.) in Dentistry (Stomatology Clinic) from Hospital São Lucas of the Pontifical Catholic University of Rio Grande do Sul (HSL-PUCRS, Porto Alegre, RS). She held a postdoctoral internship at the Federal University from Jequitinhonha and Mucuri Valleys (UFVJM, Diamantina, MG). She is currently a member of the Brazilian Society for Dental Research (SBPqO) and the Brazilian Society of Stomatology and Pathology (SOBEP). Dr. Marinho's experience in Dentistry mainly covers the following subjects: oral diagnosis, oral radiology; oral medicine; lesions and oral infections; oral pathology, laser therapy and epidemiological studies.",institutionString:null,institution:{name:"State University of Paraíba",institutionURL:null,country:{name:"Brazil"}}},editorTwo:null,editorThree:null,series:{id:"3",title:"Dentistry",doi:"10.5772/intechopen.71199",issn:"2631-6218"},editorialBoard:null},onlineFirstChapters:{paginationCount:17,paginationItems:[{id:"82184",title:"Biological Sensing Using Infrared SPR Devices Based on ZnO",doi:"10.5772/intechopen.104562",signatures:"Hiroaki Matsui",slug:"biological-sensing-using-infrared-spr-devices-based-on-zno",totalDownloads:2,totalCrossrefCites:0,totalDimensionsCites:0,authors:[{name:"Hiroaki",surname:"Matsui"}],book:{title:"Biosignal Processing",coverURL:"https://cdn.intechopen.com/books/images_new/11153.jpg",subseries:{id:"7",title:"Bioinformatics and Medical Informatics"}}},{id:"82122",title:"Recent Advances in Biosensing in Tissue Engineering and Regenerative Medicine",doi:"10.5772/intechopen.104922",signatures:"Alma T. 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Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. Thus all studies on metabolism will be considered for publication.",annualVolume:11413,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",institutionString:null,institution:{name:"Artois University",institutionURL:null,country:{name:"France"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"243049",title:"Dr.",name:"Anca",middleName:null,surname:"Pantea Stoian",fullName:"Anca Pantea Stoian",profilePictureURL:"https://mts.intechopen.com/storage/users/243049/images/system/243049.jpg",institutionString:null,institution:{name:"Carol Davila University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"203824",title:"Dr.",name:"Attilio",middleName:null,surname:"Rigotti",fullName:"Attilio Rigotti",profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institutionString:null,institution:{name:"Pontifical Catholic University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"300470",title:"Dr.",name:"Yanfei (Jacob)",middleName:null,surname:"Qi",fullName:"Yanfei (Jacob) Qi",profilePictureURL:"https://mts.intechopen.com/storage/users/300470/images/system/300470.jpg",institutionString:null,institution:{name:"Centenary Institute of Cancer Medicine and Cell Biology",institutionURL:null,country:{name:"Australia"}}}]},{id:"18",title:"Proteomics",keywords:"Mono- and Two-Dimensional Gel Electrophoresis (1-and 2-DE), Liquid Chromatography (LC), Mass Spectrometry/Tandem Mass Spectrometry (MS; MS/MS), Proteins",scope:"With the recognition that the human genome cannot provide answers to the etiology of a disorder, changes in the proteins expressed by a genome became a focus in research. Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. The Proteomics topic aims to attract contributions on all aspects of MS-based proteomics that, by pushing the boundaries of MS capabilities, may address biological problems that have not been resolved yet.",annualVolume:11414,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorTwo:{id:"201414",title:"Dr.",name:"Simona",middleName:null,surname:"Viglio",fullName:"Simona Viglio",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKDHQA4/Profile_Picture_1630402531487",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorThree:null,editorialBoard:[{id:"72288",title:"Dr.",name:"Arli Aditya",middleName:null,surname:"Parikesit",fullName:"Arli Aditya Parikesit",profilePictureURL:"https://mts.intechopen.com/storage/users/72288/images/system/72288.jpg",institutionString:null,institution:{name:"Indonesia International Institute for Life Sciences",institutionURL:null,country:{name:"Indonesia"}}},{id:"40928",title:"Dr.",name:"Cesar",middleName:null,surname:"Lopez-Camarillo",fullName:"Cesar Lopez-Camarillo",profilePictureURL:"https://mts.intechopen.com/storage/users/40928/images/3884_n.png",institutionString:null,institution:{name:"Universidad Autónoma de la Ciudad de México",institutionURL:null,country:{name:"Mexico"}}},{id:"81926",title:"Dr.",name:"Shymaa",middleName:null,surname:"Enany",fullName:"Shymaa Enany",profilePictureURL:"https://mts.intechopen.com/storage/users/81926/images/system/81926.png",institutionString:"Suez Canal University",institution:{name:"Suez Canal University",institutionURL:null,country:{name:"Egypt"}}}]}]}},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"chapter.detail",path:"/chapters/49677",hash:"",query:{},params:{id:"49677"},fullPath:"/chapters/49677",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)}()