Sources of chitin [25].
\\n\\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\\n"}]',published:!0,mainMedia:{caption:"Highly Cited",originalUrl:"/media/original/117"}},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
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They are defined as computer systems that are capable of solving problems in the same way as a human expert would do when they face the same problem. With the current stream of digital transportation and an enormous amount of interest in intelligent systems, they will be a potential area of research for providing better intelligence to systems. They will also motivate the researchers to generate systems with more and more expertise. In this book, a general introduction to expert systems will be provided after a brief introduction to Artificial Intelligence. Detailed information about Expert Systems will be defined concerning their basic features and architectures as well as main characteristics and basic differences from traditional computer systems. Various applications of expert systems will also be provided. Potential readers will find both theoretical progress as well as practical applications. They will find a great amount of information to ease their research and implementation of intelligent systems.
",isbn:"978-1-83969-422-6",printIsbn:"978-1-83969-421-9",pdfIsbn:"978-1-83969-423-3",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,isNomenclature:!1,hash:"514907388f7a2b291f71f9b93b58b795",bookSignature:"Prof. Ercan Oztemel",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11912.jpg",keywords:"Artificial Intelligence, Intelligent Systems, Smart Systems, Computational Intelligence, Knowledge Base, Knowledge Representation, Knowledge Management, Inference Engine, Manufacturing Applications, Finance Applications, Smart Factories, Health Applications",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 22nd 2022",dateEndSecondStepPublish:"June 29th 2022",dateEndThirdStepPublish:"August 28th 2022",dateEndFourthStepPublish:"November 16th 2022",dateEndFifthStepPublish:"January 15th 2023",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"2 months",secondStepPassed:!0,areRegistrationsClosed:!1,currentStepOfPublishingProcess:3,editedByType:null,kuFlag:!1,biosketch:"Prof. Dr. Oztemel graduated from the Istanbul Technical University and received his Ph.D. degree from the Department of Electrical, Electronics and Systems Engineering of the University of Wales, UK. He worked as a Chief Researcher at the Information Technologies Institute of Turkish Science and Technology Council (TUBITAK). He also served as the vice president of the Turkish Measurement and Placement Center of Turkey and as a member of the Executive Board in the TUBITAK Public Research Group.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"306974",title:"Prof.",name:"Ercan",middleName:null,surname:"Oztemel",slug:"ercan-oztemel",fullName:"Ercan Oztemel",profilePictureURL:"https://mts.intechopen.com/storage/users/306974/images/system/306974.png",biography:"Prof. Dr. Ercan Oztemel was born in 1962 in Elazig of Turkey. He graduated from the Department of Industrial Engineering, Sakarya Engineering Faculty of Istanbul Technical University in 1984. He completed his postgraduate studies at Boğaziçi University between 1985-1987, and his doctorate study at the Department of Electrical, Electronics and Systems Engineering of University of Wales between 1988-1992. Between 1993 and 2006, he worked as a lecturer at Sakarya University. In addition to his academic life, he worked as a Chief Researcher at Information Technologies Institute of Turkish Science and Technology Council (TUBITAK), between 1993 and 2011. In this institute, he conducted research on Artificial Intelligence applications, especially in the military domain. He carried out projects that were the first of their kind, such as placing simulation systems on military training aircraft (flying simulator), Artificial combat Pilot, nurse robots, war fare exercises in the virtual world. Between 1997 and 2010, he carried out research in the Western European Union Armament Group, as well as a Member of the Executive Board in the 11th and 15th Groups, and a member of the System Analysis and Simulation (SAS) Panel within NATO between 2001-2006. On the other hand, he supported the creation and execution of many sub-projects as a Member of the Executive Board in the IPROMS (Intelligent Production and Mechanization Systems) Center of Excellence project opened within the scope of the European Union 6th Framework Program. He served as the vice president of Turkish Measurement and Placement Center of Turkey between 2011 and 2015, and as the member of the Executive Board in the TUBITAK Public Research Group between 2012 and 2017. He conducts research in areas such as artificial intelligence, intelligent manufacturing systems, management information systems, simulation and modeling, strategic planning, quality management. He has many articles, papers and books on these subjects. He is still working at the Industrial Engineering Department of Faculty of Engineering at Marmara University.",institutionString:"Marmara University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Marmara University",institutionURL:null,country:{name:"Turkey"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"9",title:"Computer and Information Science",slug:"computer-and-information-science"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"441704",firstName:"Ana",lastName:"Javor",middleName:null,title:"Ms.",imageUrl:"https://mts.intechopen.com/storage/users/441704/images/20009_n.jpg",email:"ana.j@intechopen.com",biography:"As an Author Service Manager, my responsibilities include monitoring and facilitating all publishing activities for authors and editors. From chapter submission and review to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors, and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. Whether that be identifying an exceptional author and proposing an editorship collaboration, or contacting researchers who would like the opportunity to work with IntechOpen, I establish and help manage author and editor acquisition and contact."}},relatedBooks:[{type:"book",id:"1591",title:"Infrared Spectroscopy",subtitle:"Materials Science, Engineering and Technology",isOpenForSubmission:!1,hash:"99b4b7b71a8caeb693ed762b40b017f4",slug:"infrared-spectroscopy-materials-science-engineering-and-technology",bookSignature:"Theophile Theophanides",coverURL:"https://cdn.intechopen.com/books/images_new/1591.jpg",editedByType:"Edited by",editors:[{id:"37194",title:"Dr.",name:"Theophile",surname:"Theophanides",slug:"theophile-theophanides",fullName:"Theophile Theophanides"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3161",title:"Frontiers in Guided Wave Optics and Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"deb44e9c99f82bbce1083abea743146c",slug:"frontiers-in-guided-wave-optics-and-optoelectronics",bookSignature:"Bishnu Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"371",title:"Abiotic Stress in Plants",subtitle:"Mechanisms and Adaptations",isOpenForSubmission:!1,hash:"588466f487e307619849d72389178a74",slug:"abiotic-stress-in-plants-mechanisms-and-adaptations",bookSignature:"Arun Shanker and B. Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3092",title:"Anopheles mosquitoes",subtitle:"New insights into malaria vectors",isOpenForSubmission:!1,hash:"c9e622485316d5e296288bf24d2b0d64",slug:"anopheles-mosquitoes-new-insights-into-malaria-vectors",bookSignature:"Sylvie Manguin",coverURL:"https://cdn.intechopen.com/books/images_new/3092.jpg",editedByType:"Edited by",editors:[{id:"50017",title:"Prof.",name:"Sylvie",surname:"Manguin",slug:"sylvie-manguin",fullName:"Sylvie Manguin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"72",title:"Ionic Liquids",subtitle:"Theory, Properties, New Approaches",isOpenForSubmission:!1,hash:"d94ffa3cfa10505e3b1d676d46fcd3f5",slug:"ionic-liquids-theory-properties-new-approaches",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/72.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"2270",title:"Fourier Transform",subtitle:"Materials Analysis",isOpenForSubmission:!1,hash:"5e094b066da527193e878e160b4772af",slug:"fourier-transform-materials-analysis",bookSignature:"Salih Mohammed Salih",coverURL:"https://cdn.intechopen.com/books/images_new/2270.jpg",editedByType:"Edited by",editors:[{id:"111691",title:"Dr.Ing.",name:"Salih",surname:"Salih",slug:"salih-salih",fullName:"Salih Salih"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"117",title:"Artificial Neural Networks",subtitle:"Methodological Advances and Biomedical Applications",isOpenForSubmission:!1,hash:null,slug:"artificial-neural-networks-methodological-advances-and-biomedical-applications",bookSignature:"Kenji Suzuki",coverURL:"https://cdn.intechopen.com/books/images_new/117.jpg",editedByType:"Edited by",editors:[{id:"3095",title:"Prof.",name:"Kenji",surname:"Suzuki",slug:"kenji-suzuki",fullName:"Kenji Suzuki"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3828",title:"Application of Nanotechnology in Drug Delivery",subtitle:null,isOpenForSubmission:!1,hash:"51a27e7adbfafcfedb6e9683f209cba4",slug:"application-of-nanotechnology-in-drug-delivery",bookSignature:"Ali Demir Sezer",coverURL:"https://cdn.intechopen.com/books/images_new/3828.jpg",editedByType:"Edited by",editors:[{id:"62389",title:"PhD.",name:"Ali Demir",surname:"Sezer",slug:"ali-demir-sezer",fullName:"Ali Demir Sezer"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"872",title:"Organic Pollutants Ten Years After the Stockholm Convention",subtitle:"Environmental and Analytical Update",isOpenForSubmission:!1,hash:"f01dc7077e1d23f3d8f5454985cafa0a",slug:"organic-pollutants-ten-years-after-the-stockholm-convention-environmental-and-analytical-update",bookSignature:"Tomasz Puzyn and Aleksandra Mostrag-Szlichtyng",coverURL:"https://cdn.intechopen.com/books/images_new/872.jpg",editedByType:"Edited by",editors:[{id:"84887",title:"Dr.",name:"Tomasz",surname:"Puzyn",slug:"tomasz-puzyn",fullName:"Tomasz Puzyn"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3569",title:"Biodegradation",subtitle:"Life of Science",isOpenForSubmission:!1,hash:"bb737eb528a53e5106c7e218d5f12ec6",slug:"biodegradation-life-of-science",bookSignature:"Rolando Chamy and Francisca Rosenkranz",coverURL:"https://cdn.intechopen.com/books/images_new/3569.jpg",editedByType:"Edited by",editors:[{id:"165784",title:"Dr.",name:"Rolando",surname:"Chamy",slug:"rolando-chamy",fullName:"Rolando Chamy"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"69656",title:"Quantitative Analysis by IR: Determination of Chitin/Chitosan DD",doi:"10.5772/intechopen.89708",slug:"quantitative-analysis-by-ir-determination-of-chitin-chitosan-dd",body:'Very commonly used in quantitative analysis, infrared spectrometry FTIR has been exploited in many fields. It has been used in mineralogy in addition to chemical analyzes to determine the structure of a rock and to know the bonds between the atoms, in pharmaceutical for the quantitative measurement of the constituents and the thickness of the coating of the tablets, in dairy industries to determine the moisture of milk powders and butters, in the textile industry for fiber sizing and maturity of cottons, in the chemical industry, in agribusiness, and in several other industries. When a specific absorption of a chemical function of a complex molecule is sufficiently isolated in its spectrum, it is always possible to carry out quantitative measurements. There are several major fields of application for infrared spectrophotometry. First, we can quote functional analysis is probably the main application of infrared spectrometry, at least in industry. Then, the structural analysis, infrared spectrometry allows to obtain even more fine information, concerning the “construction of the molecular edifice.” In organic compounds, it allows for example to differentiate the isomers of position (ortho-, meta-, and para-) aromatic hydrocarbons, as well as the cis- and transisomers of olefins. For mineral compounds, the infrared spectrum depends on the symmetry of molecules; it often allows finding the system in which a chemical compound is crystallized. It is also possible, but only in the case of small molecules, to calculate geometric parameters such as moments of inertia. The analysis is done by comparing with reference spectra of which there are several files. Also, FTIR spectroscopy is the method most used for calculating the degree of DD of chitosan. This polymer was discovered in 1859 by C. Rouget by treating chitin with concentrated KOH at elevated temperature. But it was not until 1894 that Hoppe-Seyler gave the “modified chitin” the name chitosan [1]. Chitosan has some advantageous properties, such as biocompatibility, biodegradable polymer of high molecular weight, nontoxic, and antimicrobial activity, that encourage its applications in many fields including agriculture [2, 3], paper industry, food and textile industries, pharmaceutics [4, 5], biochemistry, biotechnology, cosmetics, biomedical applications [6, 7, 8], environment, and water treatment [9, 10, 11, 12, 13]. The properties of chitin and chitosan depend considerably on the degree of deacetylation (DD), a parameter defined as the mole fraction of deacetylated units in the polymer chain [14, 15]. Therefore, the determination of DD has been one of the interesting parameters to study chitosan preparations. The process of deacetylation involves the removal of acetyl groups from the molecular chain of chitin, leaving behind a complete amino group (-NH2), and chitosan properties are very linked on this high degree of chemical reactive amino groups. Since the degree of deacetylation (DD) depends mainly on the method of purification and reaction conditions, it is therefore essential to characterize chitosan by determining its DD prior to its use. The main parameters involved in the process are temperature, time of reactions, and the concentration of reagents. A simple and nonexpensive chemical treatment of mineral/protein removal from chitin is usually used with HCl/NaOH reagents, respectively, and chitosan is chemically or enzymatically produced. They vary only on the acetyl group container, which is designated by the degree of acetylating (DA) designating the percentage of acetylated units relative to the number of total units. The term chitosan applies to any copolymer whose DD is greater than 50%. Each chitosan is therefore characterized by the fraction of residual N-acetamide groups (DA) or by the relative amount of amino groups of the chitosan molecule (DD = 1-DA) [16]. It is important to distinguish between the degree of acetylation (DA) and the degree of deacetylation (DD). One being the opposite of the other, that is to say that chitosan having an 85% DD, it has 15% of acetyl groups and 85% of amine groups on its chains. The degree of deacetylation (DD) of chitosan is a dominant structural parameter that significantly influences the physicochemical properties of chitosan such as solubility, overall charge, reactivity, and mechanical properties such as elongation, breaking, and tensile strength. This parameter also influences biological properties [17] such as biocompatibility and biodegradability. For determination of the degree of deacetylation (DD), several analytical methods have been employed. Infrared spectroscopy [18, 19] and UV spectrophotometry [20] as analytical tools offer advantage over other traditional techniques which are expensive and destructive to the sample. FTIR spectroscopy is a quick technique for a quantitative evaluation of the DD through the determination of absorption ratios. FTIR analysis is attractive due to its nondestructive character, fastness, sensitivity, and suitability for both soluble and nonsoluble samples. Among the solution methods, first-derivative UV spectrophotometry draws attention owing to its simplicity and effectiveness in providing accurate results for highly deacetylated chitin. It was conceived by Muzzarelli and Rocchetti [20] and relies on simple reagents and instrumentation. In addition, the results obtained from this method are reasonably independent of protein contamination. Alonso et al. [21] established the possibility to determine the acetylation degree with the use of empirical correlations based on the weight losses associated with the main decomposition peaks. A similar approach has been adopted to investigate if there was any relationship between the weight loss of the sample and its DD. According to Yu et al. [22], the conductometric assay is an adequate and accurate method for determining the degree of deacetylation of chitosan, except for some samples that have a high degree of crystallization. The conductometric method can be carried out in basic and acid medium. Other methods have also been used such as SEM and NMR for magnetic properties of certain atomic nuclei and the determination of DD.
The objective of this chapter is to present a bibliographic synthesis on the use of spectroscopy FTIR in order to study and optimize the reaction of deacetylation by calculating the chitosan DD. At the end of the chapter, a simple comparison between IR and other methods of DD determination is presented to find the most reliable formula of DD calculation.
Chitin is the structural polymer of exoskeletons of all arthropods (crustaceans and insects) and endoskeletons of cephalopods (cuttlefish, squid, etc.). The cuticles of various crustaceans, mainly crabs and shrimp, are the main sources of raw material for the production of chitin (Table 1). Chitin is found as part of a complex network of proteins on which calcium carbonate is deposited to form the rigid shell in crustaceans or more specifically in shellfish. The interaction between chitin and proteins is very intimate and there is also a small fraction of proteins involved in a polysaccharide-protein complex [24]. Thus, the preparation of chitin from shellfish requires the elimination of the two main constituents, namely proteins by deproteinization and calcium carbonate by demineralization, as well as small amounts of pigments and lipids generally removed during the two steps. An additional fading step is applied to remove residual pigments. Many methods have been proposed and used over the years to prepare pure chitin; however, no standard method has been adopted. Deproteinization and demineralization can be carried out using chemical or enzymatic treatments. In the case of shrimp, the shell wall is thinner, which facilitates the isolation of chitin compared to other types of shells. The selected shells are then cleaned, dried, and ground into small shell pieces. Shrimp carapaces have the following average mass composition:
75% water
12% protein
9% mineral salts
4% chitin
traces of lipids and organic pigments
We then develop the two essential steps for the preparation of chitin from the carapaces, namely deproteinization and demineralization.
The deproteinization of chitin consists in eliminating proteins; it is difficult because there is a breakdown of the chemical bonds between chitin and proteins. This is done using basic solutions in a heterogeneous way. Complete protein isolation is particularly important for biomedical applications. A wide range of chemicals have been tested as deproteinization reagents, including NaOH, Na2CO3, NaHCO3, KOH, K2CO3, Ca(OH)2, Na2SO3, NaHSO3, CaHSO3, Na3PO4, and Na2S. The reaction conditions vary considerably in each study. NaOH is the preferred reagent and is applied at a concentration ranging from 0.125 to 12 M, at different temperatures (up to 20°C) and a duration of treatment (from a few minutes to a few days). In addition to deproteinization, the use of NaOH results in partial deacetylation of chitin and hydrolysis of the biopolymer, which decreases its molecular weight.
Demineralization is a necessary step to produce chitosan. It consists of dissolving minerals, mainly calcium carbonate bound to chitin. Demineralization is generally carried out by acid treatment using HCl, HNO3, H2SO4, CH3COOH, and HCOOH [26, 27]. Of these acids, the preferred reagent is dilute hydrochloric acid. Demineralization is an acid–base reaction between carbonate ions and acids in water with the release of carbon dioxide, as indicated in the following equation:
All the other minerals present in the crustacean cuticle react in the same way and give soluble salts in the presence of acid. Then, the salts can be easily separated by filtering the solid phase of chitin, followed by washing with distilled water.
Chemically, a kilogram of fresh shells provides about 40 g of dry chitin. After the chemical treatment, the grinding and sieving processes to obtain a homogeneous chitin cause losses of about 40%. The final yield is 2.5%, 25 g of chitin per kilogram of shell. Table 2 summarizes the operating conditions of chitin extraction according to different sources.
Lower plants | Annelid | Mushrooms | Molluscs |
---|---|---|---|
Algae Lichen yeasts | Ascomycetes (Class) Penicillium Blastocladiales (Family) Chytridiaceae (Family) | Earthworm Leech | Cuttlefish Octopus |
Lobsters Crabs Shrimps Scampi Krill | Octopus Scorpions | Spiders Ants Cockroaches Coleoptera (Order) |
Sources of chitin [25].
Deproteinization | Demineralization | |||||||
---|---|---|---|---|---|---|---|---|
Source | CNaOH* | T°C | Number of baths | Duration(h) | CHCL | T°C | DURAT-ION (h) | |
Shrimp | 0.125 M 0.75 M | 100 100 | 1 1 | 0.5 0.5 | 1.25 M | Room | 1 | [28] |
Shrimp | 1.25 M | 100 | 1 | 0.5 | 1.57 M | 20–22 | 1–3 | [29] |
Shrimp | 1% | 65 | 1 | 1 | 0.5 M | Room | — | [30] |
Shrimp | 3% | 100 | 1 | 1 | 1 M | Room | 0.5 | [31] |
Shrimp | 4% | 100 | 1 | 1 | 5% | Room | — | [32] |
Shrimp | 7.5–12.5 M | 1 | 30–180 mn | 0.3–3.5 M | Room | 24 | [23] | |
Shrimp | 1 M | Room | 1 | 24 h | 1 M | Room | 24 | [3] |
Crab | 0.5 M | 65 | 1 | 2 | 1.57 M | Room | 5 | [33] |
Crab | 1 M | 80 | 1 | 3 | 1 M | Room | 12 | [34] |
Crab | 1 M | 100 | 1 | 36 | 2 M | Room | 48 | [28] |
Crab | 1 M | 100 | 3 | 72 | 1 M | Room | — | [35] |
Crab | 1.25 M | 85–90 | 3 | 24 | 1.37 M | Room | 24 | [36] |
Crab | 1 M | 50 | 1 | 6 | 1 M | 20 | 3 | [37] |
Crab/lobster | 2.5 M | Room | 3 | 72 | 11 M | −20 | 4 | [38] |
Lobster | 1 M | 100 | 5 | 12 | 2 M | Room | 5 | [39] |
Lobster | 5% | 80–85 | 2 | 0.5 | 5% | 70 | 4 | [40] |
Lobster | 10% | 100 | 1 | 2.5 | 10% HCl 90% formic | Room | 18 | [41] |
Krill | 0.875 | 90–95 | 1 | 2 | 0.6 M | Room | 2 | [42] |
Krill | 3.5% | 25 | 1 | 2 | 3.5% | 20 | 1.5 | [43] |
Crawfish | Room | [44] |
Chitin extraction conditions.
Chitosan represents a family of polymers obtained at varying degrees after deacetylation of chitin. In fact, the degree of acetylation (DA), which reflects the balance between the two types of residues (Figure 1), differentiates chitin from chitosan. When the DA (expressed as molar percentage) is less than 50 mol%, the product is called chitosan, and it is characterized by its solubility in acidic solutions [45]. During deacetylation, the amides are protonated and the acetyl groups are removed, but a depolymerization reaction, indicated by the changes in the molecular weight of the chitosan, is also produced.
Equation of chitin conversion to chitosan by deacetylation.
Chitin can be converted to chitosan by enzymatic preparations [46, 47, 48, 49] or by a chemical process [50, 51]. Chemical methods are widely used for commercial purposes for the preparation of chitosan because of their low cost and their ability to mass produce [51].
To deacetylate chitin chemically, acids or bases are used. However, glycosidic bonds are very sensitive to acid treatment [51, 52]; therefore, alkaline deacetylation is often used. The deacetylation reaction is heterogeneous [53] or homogeneous [54]. Generally, in the heterogeneous process, chitin is treated with hot concentrated NaOH solution for a few hours and chitosan is produced as an 85–99% deacetylated insoluble residue. According to the homogeneous method, the alkaline chitin is prepared after dispersion of the chitin in concentrated NaOH (30 g NaOH/45 g H2O/3 g Chitin) at 25°C for 3 h or more and then dissolved in crushed ice around 0°C. This method gives a soluble chitosan with an average degree of acetylation of 48–55% [50]. This process produces a deacetylation with acetyl groups uniformly distributed in the chains, for example chitosan with DA = 10% after 580 h at 25°C [54].
The details of the process parameters employed by various researchers that include the number of demineralization, deproteinization, and deacetylation step have been reviewed and summarized in Table 3.
Source | Number of deproteinization baths | Number of demineralization baths | DA | |
---|---|---|---|---|
Cirripedia | Anatife | 4 | 2 | 51 |
Reptantia | Red crab | 3 | 5 | 48 |
Brachyura | Marbled crab | 3 | 3 | 50 |
Reptantia | Spider crab | 3 | 3 | 47 |
Macrura | Lobster | 3 | 3 | — |
Natantia | Crayfish | 7 | 3 | 51 |
Slipper lobster | 3 | 2 | — | |
Freshwater cayfish | 3 | 2 | — | |
Pink shrimp | 3 | 3 | 51 | |
Gray shrimp | 2 | 2 | 51 | |
Stomatopoda | Squilla | 3 | 3 | 51 |
Cephalopoda | Squid | 2 | 2 | 51 |
Comparison of chitosan production from different sources according to Tolaimate et al. [55].
The main disadvantages of chemical deacetylation are energy consumption, waste concentrated alkaline solutions and thus increased environmental pollution. In order to avoid these disadvantages, an alternative enzymatic method exploiting chitin deacetylases has been explored. The use of chitin deacetylase offers the possibility of a nondegradable controlled process, leading to the production of well-defined chitosan [56]. This method is especially used to prepare chitosan oligomers.
Chitin deacetylase catalyzes the hydrolysis of N-acetamido linkages in chitin to produce chitosan. The presence of this enzymatic activity has been reported in several fungi [57, 58] and insect species [59]. The most studied enzymes are those extracted from the mushrooms Mucor rouxii [46, 56, 57], Absidia coerulea [60, 61], and Aspergillus nidulans [62, 63], and two strains of Colletotrichum lindemuthianum [64, 65]. All enzymes are glycoproteins and are secreted either in the periplasmic region or in the culture medium. In addition, all the enzymes exhibit remarkable thermal stability at their optimum temperature (50°C) and a very high specificity for the bound N-acetyl-D-glucosamine polymers.
The determination of average DD for chitosan may be performed by different techniques: infrared spectroscopy, elementary analysis, potentiometric titration, and 1H liquid state and solid state 13C-NMR. But FTIR technique has specifically proved to be useful for the analysis of chitin due to its limited solubility in most of the solvents. Nevertheless, FTIR needs a calibration versus an absolute technique like nuclear magnetic resonance (NMR). Identifying the right combination of bands and baselines required a lot of effort, which led the authors to preface a large number of methods in the literature. In fact, several methods have been tried to determine the degree of deacetylation (DD) by FTIR [18, 66, 67, 68, 69]. Below is a description of the major three types used to calculate DD by FTIR.
El ouahli [70] calculated from the absorption bands at 1320 and 1420 cm−1. The first band is characteristic of the acetylated amine or amide function, while the second band is chosen as the reference band. The following equation is used to determine DD of chitosan:
This IR characterization formula for chitosan is based on the relationship between the absorbance (A) value of the primary amide at 1655 cm−1 and that of the hydroxyl at 3450 cm−1. The degree of deacetylation (DD) was calculated by Eq. (3), [66, 69]:
In our study, a ratio had been already proposed [68, 71, 72]. However, choosing an appropriate calculation procedure was not an easy task since the choice of the baseline on FTIR spectra, reference, and the probe bands was difficult. In our work, the average DD was determined by the following formula:
where A1655 is the absorbance at 1655 cm−1 of the amide I band as a measure of the N-acetyl group content and A3430 is the absorbance at 3430 cm−1 due to hydroxyl group as an internal standard. The value 1.33 represents the ratio of this absorbance for a fully acetylated compound. An appropriate baseline in each spectrum was determined by using origin software.
The baseline problem for reference peaks has been studied and summarized in Table 4 and Figure 2. Table 4 shows that there are other formulas for calculating chitosan DD by FTIR and that these formulas have been approved by other techniques such as NMR.
DA calibration curve | Method for DA standard | Ref. |
---|---|---|
1. DA = (A1655/A3450) × 155 | Titration | [66] |
2. (A1320/A1420) = 0.3822 + 0.03133 × DA | 1H NMR, 13C NMR | [67] |
3. (A1320/A3450) = 0.03146 + 0.00226 × DA | 1H NMR, 13C NMR | [67] |
4. (A1560/A2875) = 0.2 + 0.0125 × DA | Elemental analysis | [71] |
Calibration curves from absorption ratios versus standard DA values [73].
FTIR spectrum of chitin and the baseline [
A synthesis of the study on the effect of the operating conditions to know temperature concentration of the base and the time on the reaction of deacetylation will be presented using IR.
In this deacetylation reaction, it is an interrelation between the following variables: the concentration of the basic solution, the temperature, and the reaction time. The deacetylation reaction in basic medium is summarized in Eq. (5):
For CNaOH = 12 N, the DD values calculated from the FTIR shown in Table 5 do not exceed 55% and stabilize after a critical time t < 60 min. At a low concentration of NaOH, the equilibrium time became higher, which shows that the chitosan DD is low, which means that the deacetylation reaction is highly dependent on the concentration of NaOH, due to the inaccessibility of acetamide groups in the polymer chain. This type of behavior, observed by other authors, is explained firstly by the fact that the N-deacetylation occurs preferably at the level of the amorphous region of chitin and then passes from the edge to the interior of the crystalline region [26, 27]. The second reason concerns the equilibrium of the reaction and the degradation of chitosan. Other authors [10, 22, 28] have assumed that it can be controlled by both reaction and diffusion. The low deacetylation of chitin has also been attributed to the rearrangement of acetyl groups in the monomer unit with respect to the OH hydroxyl group [9]. Analysis of the results of the measurement of the DD (Table 5) shows that this increased by approximately 8% (66–74% DD), at a high concentration of NaOH (10 M) and with a thermal increase of 20°C (100–120°C). This variation of DD seems less important, only +2% (26–28% DD) at low concentration of NaOH (7.5 M). This increase in DD is particularly significant (13%) with a base concentration increase of 2.5 M (10 M to 12.5 M). Thus, the variation in NaOH concentration more significantly influences the reaction rate of DD than temperature.
Temperature of DD | Concentration of the base (M) | Time (mn) | DD |
---|---|---|---|
25°C | 8 | 180 | 38 |
10 | 120 | 45 | |
12 | 60 | 55 | |
80°C | 4 | 38 | 35 |
8 | 38 | 52 | |
10 | 38 | 55 | |
12 | 38 | 63 | |
120°C | 8 | 50 min | 40 |
12 | 50 min | 50 | |
8 | 300max | 65 | |
12 | 300max | 70 |
Evolution of DD as a function of the concentration of the base at different temperatures [3].
Table 6 shows the effect of temperature on deacetylation; the more the temperature increases, the more the deacetylation increases, but the total conversion of chitin to chitosan is only carried out at the temperature of 80°C and for high concentrations of the base [23]. Analysis of the results of the measurement of DD shows that it has increased approximately 8% (66–74% DD), at high concentration of NaOH (10 M) and a thermal increase of 20°C (100–120°C). This variation of DD seems less important, only +2% (26–28% DD) at low concentration of NaOH (7.5 M). This discrepancy can be considered as an error of analysis. However, this increase in DD is particularly significant (13%) with a base concentration increase of 2.5 M (10–12.5 M). The temperature in this step is a factor that weakens the binding of the acetyl groups and accelerates the deacetylation reaction. Ahlafi and al [3] also found that the DDs increase as the NaOH concentration and temperature increase as the time of reaction increases. These reached a maximum of 63% and 71% for CNaOH = 12 N at T = 80 and 120°C, respectively. On the other hand, it can be observed that the critical time decreases when the temperature and the concentration of NaOH increase. It can be seen in the case of CNaOH = 12 N and T = 120°C. The increase of DD values with these parameters can be attributed to the change of the structure during deacetylation of chitin at height temperature, as confirmed by FTIR studies. These results confirm the hypothesis that the interaction of concentration and thermal energy are the main criteria to be taken into account for the deacetylation reaction.
The analysis of the results (Table 7) shows that the best deacetylation started after 60 min, for the three concentrations of NaOH studied. At this time, the activation energy for deacetylation can be reached and the chemical bond break occurs. However, this breakdown of the acetyl groups is significant only at the level of the high alkaline concentration (> 10 M). Diffusion of the alkaline solution on the shell substrate increases with time. These results confirm the hypothesis that there is an interaction between the concentration of NaOH and the reaction time on DD.
At the lowest NaOH concentration (7.5 M), the percentage of deacetylation increases from about 60°C but remains low even at 120°C (Table 7). The extracted product remains predominantly in the form of chitin. The deacetylation is terminated after a period ranging from 90 to 120min depending on the concentration of NaOH. Moreover, for a lower concentration of NaOH (8.75 M), this reaction is incomplete even after 3 h for different authors [74]. Therefore, in the case of a low concentration of NaOH (less than 10 M), the deacetylation does not occur completely. Thus, to obtain a good-quality chitosan, it is necessary to resume the treatment several times using NaOH solution [75, 76]. This reprocessing scheme is technically not easy and economically unviable on a large scale. So, for better deacetylation, 1 h is sufficient for concentrations greater than 10 M.
The rate of deacetylation therefore depends not only on the concentration of NaOH used but also on the temperature for a breakdown of the acetyl bonds. However, a high temperature leads to a degradation of chitosan, which causes the viscosity η to drop and the molecular weight M (η = kM a) to drop, which affects the solubility of chitosan. The variation of the concentration of NaOH does not affect its molecular weight [76].
The chitin deacetylation process followed the pseudo–first-order kinetics for all the temperatures studied (25, 80, and 120°C) and at the same alkaline concentration (12 N) [3]. The Table 8 showed that the values decreased as a function of temperature. This indicates that the speed of the deacetylation reaction is faster at the beginning of the reaction t < 60 min, but it was very slow at the end of reaction.
T(°C) | 25 | 80 | 120 |
---|---|---|---|
k2 (min−1) 2nd step | 1.70 × 10−5 | 2.23 × 10−4 | 22 × 10−4 |
Apparent rate constant [3].
The apparent activation energy was estimated at about 48.76 kJ/mol from the straight line of the Arrhenius plot (in k vs. (1/T)) [3]. This value is in the same order of magnitude as that found by other authors for heterogeneous N-deacetylation performed between 80 and 120°C [10, 12, 22, 26]. The concentration of NaOH significantly influences the variation of the reaction temperature. Rinaud and al. [14] mention that at a NaOH concentration of 10–15 M, the energetic activation (Ea) of the deacetylation is, respectively, about 22–50 kJ/mol, which makes it possible to increase the degree of deacetylation. The results indicated that the reaction at higher concentration and temperature proceeded easier than that at their lower values.
The reagent diffusion mechanism represents the second step in deacetylation of chitin. Recently, Sarhan et al. [28] have proposed a mechanism in which heterogeneous N-deacetylation is controlled by both reaction and diffusion: the first step involves the reaction of the onium salt, designated (Q+ X−), with NaOH to give the corresponding onium hydroxide (Q+ OH−) capable of diffusing from the aqueous phase to the organic phase to start the deacetylation process by attacking the C = O of the acetyl group and then at the end of the reaction of hydrolysis, the resulting onium acetate (CH3COO−Q+) will diffuse into the aqueous phase to be regenerated to a new onium hydroxide by the reaction with NaOH. From our results, the DD/CNaOH ratios remain constant at each temperature at longer deacetylation times, which means that the deacetylation reaction is complete.
The results obtained under various conditions were analyzed statistically using multilinear regression analysis (uncertainty value =0.05) [23]. The NaOH concentration, temperature, and reaction time were chosen as independent parameters for the three-variable and three-level (maximum, mean, and minimum) factorial design. The best equation obtained for the chitosan extraction process in this study is Eq. (6). Shrimp at a higher temperature is not reliable. In addition, the production of chitosan at high temperature causes degradation of the container and therefore involves manipulations more difficult to adapt for industry. To ensure the quality of the chitosan product, the digestion temperature must be kept constant at 110°C.
The values of this equation indicate that the effect of three factors studied influences DD in the following order: reaction time (24.86) > NaOH concentration (5.6) > reaction temperature (3.78). Further, a reaction time of 152 min (≈2.5 h) is predicted from Eq. (5) to reach 90% DD using a NaOH concentration of 12.5 M and a temperature set at 110°C. This time predicted by the factorial plane seems consistent with the actual deacetylation reaction time (120 min) with an error of 27%.
The production of chitosan from dried shrimp exoskeletons can be done in 1 day instead of the 3 days required by the conventional method. The results obtained show that the extracted chitosan has a DD greater than 90% under optimal conditions by the hydrothermal-chemical technique in two stages at 110°C, that is, 11.25 M NaOH for 3 h or 12.5 M NaOH during 2 h. For the extraction of chitosan at an SD of 85% in the context of water treatment, the transformation procedure must be carried out under the following optimal conditions:
Demineralization at 50°C for 2.5 h in 2 M HCl
Deproteinization and deacetylation at 110°C with 11.25 M NaOH for 2 h
A new method of producing very high DD content chitosan under low concentration alkaline conditions has been introduced by Xiaofei et al. [79]. The synthesis was produced at high temperatures and pressures. The results in Table 9 were deduced from IR spectra. Compared to traditional methods, low concentration alkaline and short reaction time are excellent benefits. In addition, compared to the enzymatic and organic solvent treatment method, the pressure method was inexpensive and convenient without further purification. Excellent repeatability and simplified operation increased its availability in production and large application chitosan scale with large quantity production. In order to produce chitosan with a very high content of DD by chitin in a more efficient and more environmentally friendly way, Xiaofei et al. [79] have changed the pressure and have used the multistep method for the deacetylation of chitin in alkaline at low concentration. They adopted the alkaline recycling model using alkaline waste in the next deacetylated step. In this model, they added an alkali according to the different demands of each phase and eliminated acetyl in a timely manner, in case the high concentration of the acetyl group would inhibit the deacetylation. In addition, the use of the base in several steps will be effective not only to control the degree of deacetylation but also to control the molecular weight of the resulting product.
C/% | CT:NaOH | RT/min | T/C | Productivity/% | DD/% |
---|---|---|---|---|---|
5 | 1:20 | 120 | 120 | 88.95 | A |
5 | 1:20 | 240 | 120 | 90.48 | A |
10 | 1:20 | 120 | 120 | 88.41 | A |
10 | 1:20 | 240 | 120 | 90.88 | A |
15 | 1:20 | 120 | 120 | 86.76 | A |
15 | 1:20 | 240 | 120 | 88.73 | A |
20 | 1:20 | 120 | 120 | 87.66 | A |
20 | 1:20 | 240 | 120 | 86.94 | A |
25 | 1:20 | 120 | 120 | 85.69 | A |
25 | 1:20 | 240 | 120 | 85.88 | A |
30 | 1:20 | 120 | 120 | 85.19 | A |
30 | 1:20 | 240 | 120 | 86.53 | A |
30 | 1:20 | 360 | 120 | 85.44 | A |
35 | 1:20 | 120 | 120 | 84.17 | 85.05 |
40 | 1:20 | 120 | 120 | 82.00 | 90.13 |
40 | 1:20 | 120 | 120 | 81.27 | 94.26 |
40 | 1:20 | 120 | 120 | 81.93 | 89.19 |
The effect of different reaction conditions on DD value of chitosan [79].
A: Undissolved in HCl.
Working under high pressure and with low concentrations of the base, they were able to extract chitosan with DD of 100%. In fact, only 15% of alkali solution and a ratio of 1:10 chitosan powder to NaOH solution and to a pressure of less than 0.11–0.12 MPa for 120 min lead to 100% DD. When the alkali concentration varies from 5–15%, the very high value DD chitosan (up to 95%) is produced. The method under pressure to prepare 100% deacetylated chitosan with less environmental pollution is very interesting.
To extract a large quantity of chitosan, industrialists need high temperatures and chemicals in large quantities. In addition, the conventional process requires a lot of time and consumes a lot of energy, which would harm the environment. Recently, microwave irradiation has been used as an unconventional energy source in chemical reactions. The objective of this study is to synthesis chitosan under microwave irradiation in order to reduce the impact of environmental pollution due to excessive use of chemical treatments [80, 81, 82]. The study will examine the effect of chemical addition, reaction time, operating temperature on manufacturing, and chitosan DD under microwave irradiation. These results will be compared to those from conventional heating methods to compare results. As part of this research, they developed the design and manufacture of a proton prototype for the production of chitosan from shrimp shell waste. Research has concluded that microwaves will accelerate reaction time.
The results showed that the demineralization condition of shrimp waste was achieved at the concentration of HCl 3,5 N solution with the weight ratio of shrimp shell waste and HCl solution of 1: 5 (w/v), at a temperature of 50°C during 1 h heating. In those conditions, the ash content was 8.06%. Ash content decreases to 5.4% if the demineralization reaction is carried out under microwave irradiation with 130 watts for 10 min. The optimum condition of the deproteinization process was achieved by heating at a temperature of 70°C for 2 h and at 4% NaOH concentration for shrimp waste ratio: a NaOH solution of 1:5 (w/v). In this condition, they obtained nitrogen levels of 1.882% (11.763% protein content). If the deproteinization reaction was performed under microwave irradiation with 130 W of power for 15 min, the nitrogen content obtained was 1.833% (11.461% protein content) (Table 10
Chitin treatment | NaOH conc. (%) | DD% | Mw (k Daltons) | Solubility (%) |
---|---|---|---|---|
20 mesh | 30 | 67.58F ± 0.92 | 2415.09 | 66.31H ± 0.35 |
40 | 75.77E ± 3.54 | 1476.21 | 74.94G ± 0.79 | |
50 | 78.83D ± 1.05 | 1267.11 | 96.77BC ± 0.17 | |
40 mesh | 30 | 76.89DE ± 0.89 | 866.03 | 99.05A ± 0.05 |
40 | 78.64D ± 0.86 | 1107.50 | 92.79D ± 0.01 | |
50 | 83.05C ± 0.29 | 2160.88 | 95.60C ± 0.87 | |
60 mesh | 30 | 88.39B ± 0.49 | 949.95 | 83.28F ± 0.87 |
40 | 89.17B ± 0.28 | 1274.85 | 85.57E ± 1.37 | |
50 | 95.19A ± 0.74 | 4467.05 | 97.73AB ± 0.95 | |
Commercial chitosan | ||||
85.00C ± 0.66 | 300 | 99.00A ± 0.72 |
Degree of deacetylation (DD), molecular weight (mw), and solubility of chitosan samples extracted from shrimp wastes using microwave technique [81].
Data are the mean.
Mean values in the same column bearing the same superscript do not differ significantly.
To differentiate chitin from chitosan, it is necessary to define the degree of acetylation (DA), that is to say the ratio of the number of units comprising an acetyl group on the number of units in the molecule. We can also speak of degree of deacetylation (DD) such that: DD = 100 - DA in%.
The calculation of DD was made according to several methods described in the literature: acid and basic conductometric method, pH-metric method, UV method, and IR spectroscopy method. In a recent study [70], an attempt was made to compare IR and other analytical methods to compute DD. The analysis was performed by acidic conductometric assay. Basic conductometric dosing and pH-metric dosing techniques will be compared to IR.
According to Yu et al. [22], the conductometric assay is an adequate and accurate method to determine the degree of deacetylation of chitosan. It was carried out in basic and acid medium.
A solution of chitosan was prepared by dissolving a mass of 150 mg of chitosan in 10 ml of hydrochloric acid (0.1 N) and then the volume was adjusted to 200 ml by addition of distilled water. The prepared solution is titrated with stirring with sodium hydroxide solution (0.1 N). Figure 3A shows the change in the volume of sodium hydroxide as a function of the conductivity of the chitosan solution. The curve has two points of inflection. The difference in the volume of NaOH between these two points corresponds to the amount of HCl required to dissolve the chitosan, which is to say to transform the -NH2 groups into -NH3+.
(A) Variation of the conductivity of the chitosan solution as a function of the volume of the base (B) variation of the conductivity of the chitosan solution as a function of the volume of the acid solution.
The degree of deacetylation (DD) of chitosan is then determined from the following relationship [70]:
where N is the normality of the NaOH solution (mol/l); V2 and V1 are the equivalent volumes of NaOH representing two inflection points, respectively; M is the mass of chitosan; 203 (g/mol) is the molar mass of the acetyl monomer; and 42 (g/mol) is the difference between the molecular weight of the acetyl monomer and the molecular weight of the deacetylated monomer.
The degree of deacetylation according to the conductometric method is:
The determination of the DD by acid conductometric assay is carried out as follows: a mass of 150 mg of chitosan is dispersed in 200 ml of distilled water; while stirring, the mixture is titrated with 0.1 N HCl solution. Figure 3B shows the evolution of the conductivity of the chitosan solution as a function of the volume of HCl poured. The point of inflection corresponds to the amount of HCl consumed by the amine groups of chitosan. The DD will be calculated from the following equation:
where N is the normality of the HCI solution (mol/l), V is the volume corresponding to the inflection point as shown in Figure 3B, m is the mass of chitosan (g), and 42 (g/mol) is the difference between the molecular weight of the acetylated monomer and the molecular weight of the deacetylated monomer.
DDA calculation gives:
The determination of the DD by pH-metric assay was carried out according to the method described in the literature [77, 78].
A solution of chitosan was prepared by dissolving a mass of 125 mg of chitosan in a solution of excess HCl (0.1 N) and then neutralizing this solution with sodium hydroxide solution (0.05 N). Figure 4A shows the titration curve of chitosan, and Figure 4B shows the corresponding secondary derivative. From this last curve, the amount of hydrochloric acid necessary to protonate the amine groups is determined. The degree of deacetylation calculated from this method is 77.10%.
(A) Variation of the pH according to the volume of soda poured for the solution of the chitosan and the solution of the hydrochloric acid, (B) secondary derivative curve corresponding to the assay.
The results of the DDA obtained by the different assay methods are shown in Table 11.
Dosing method | DDA (%) |
---|---|
Basic conductivity meter | 76.35 |
Conductometric acid | 77.30 |
pH-metric | 77.10 |
Infrared spectroscopy | 78.50 |
Calculated average | 77.32 |
DD values obtained with different assay methods [70].
The average value of DD calculated for the chitosan prepared during this work is 77.32%. So, IR spectroscopy remains the simplest and most economical technique for calculating DD.
Another study presented by Xiaofei and al [79] gave a comparison between IR spectroscopy and other techniques and showed the importance of FTIR for calculating DD (Table 12). They have been measured for 3 or 2 times.
Method | 1 (%) | 2 (%) | 3 (%) | 4 (%) | 5 (%) |
---|---|---|---|---|---|
Part-I | |||||
DDTitration1 | 90.82 | 90.57 | 94.93 | 93.04 | 92.48 |
DDTitration2 | 92.85 | 94.62 | 93.97 | 95.40 | 94.99 |
DDTitration3 | 93.10 | 94.45 | 94.86 | 94.35 | 94.66 |
DD-UV1 | 95.97 | 95.96 | 99.42 | 98.18 | 99.34 |
DD-UV2 | 94.44 | 94.87 | 97.72 | 97.07 | 97.00 |
DD-UV3 | 95.02 | 95.36 | 98.07 | 97.42 | 97.99 |
Part-II | |||||
DD-UV1 | 82.00 | 95.96 | 97.68 | 100.00 | 100.00 |
DD-UV2 | 82.27 | 95.86 | 97.73 | 100.00 | 100.00 |
DD-IR1658/3450 | 80.43 | 94.50 | 94.60 | 95.37 | 96.33 |
DD-IR1320/1420 | 87.64 | 100.00 | 100.00 | 100.00 | 100.00 |
Comparison of DD value measured by different methods [79].
The calculation of DD and the number of amine present in chitosan by FTIR allows first to follow the transformation reaction of chitin into chitosan and others by finding the optimal conditions for the synthesis of chitosan by studying the effect of different parameters, namely the concentration of the base, the temperature, and the duration of the reaction. The valorization of shrimp exoskeletons by extraction of chitosan according to the hydrothermal-chemical technique proposed in two stages makes it possible to reduce the production time by at least four times compared to the conventional technique in three stages (3–4 days). In addition, the consumption of digestion and energy chemicals is also significantly reduced. The chitosan obtained by the two-step technique is of good quality. Indeed, the degree of deacetylation is greater than 90% under the optimal conditions for the simultaneous deproteinization and deacetylation.
The compression method for preparing 100% deacetylated chitosan with less environmental pollution was studied by FTIR. The 100% fully deacetylated chitosan was produced in low-concentration alkali and high-pressure conditions, which only requires 15% alkali solution and 1:10 chitosan powder to NaOH solution ratio under 0.11–0.12 MPa for 120 min. When the alkali concentration varied from 5–15%, the chitosan with ultra-high DD value (up to 95%) is produced.
In parallel, the FTIR calculation was also used to show that the microwave could be used in the extraction step of chitosan from chitin. From these results, it could be concluded that shrimp waste is an excellent source for chitin, and the yields of chitosan increased with decreasing the chitin particle size and increasing the concentration of NaOH solution used in deacetylation step. The highest degree of deacetylation was obtained from chitin samples at particle size of 60 mesh deacetylated by 50% NaOH solution, and it was 95.19% compared with 85% for commercial chitosan. Based on this synthesis, it is concluded that FTIR is an effective and reliable technique for the determination of DD and the study of the deacetylation reaction of chitin. All the formulas quoted are valid for calculating DD of chitosan, but the most reliable formula and the formula most approved by other techniques is formula 3 quoted in our works.
Quantum computing is a multidisciplinary research area with extraordinary expectations in Computer Science [1, 2]. It proposes a radical change with respect to the classical computing model, moving to a quantum one. To do this, change the basic unit of classical information, the bit, for the quantum bit or qubit:
The superposition principle of Quantum Physics makes the so-called quantum parallelism possible. Working with
Another important feature of quantum computing is that it is a continuous computing model. Change a bit, which can only take two discrete values, for a qubit, which is a point on the
The results obtained seemed to have theoretically solved the problem of quantum error control. The quantum threshold theorem or quantum fault-tolerance theorem was proved. This states that a quantum computer with a physical error rate below a certain threshold can, through application of quantum error correction schemes, suppress the logical error rate to arbitrarily low levels. Shor first proved a weak version [9] and the theorem was independently proven by the groups of Aharanov and Ben-Or [15], Knill, Laflamme and Zurek [13] and Kitaev [14].
All authors use the discrete errors introduced to define error-correcting quantum codes as a key element to prove the quantum threshold theorem. And they do it for two reasons: the constructed quantum codes allow correcting precisely those discrete errors and, even more important, any
However, recent studies [16, 17] indicate that fault-tolerant quantum computing does not cover all the loopholes through which quantum errors escape, accumulating during quantum computations. Lacalle, Pozo-Coronado, Fonseca de Oliveira and Martín-Cuevas model quantum errors as random variables, integrating the essentially continuous character of quantum errors. The first two authors obtain the formula for the variance of the sum of two independent quantum errors
They prove it only for isotropic errors and conjecture that it is true in the general case. The
The authors establish in [16, 17] that a quantum code fixes a quantum error if, assuming that the code’s correcting circuit does not introduce new errors, the code reduces the variance of the quantum error. Despite these weak requirements, the authors find two types of quantum error that are not fixed by any quantum code. Let
and the variance of the corrected state
The authors say in [16] that a quantum error
If
The first of the above properties indicates that if an error is detected in the code correcting circuit, all information has already been lost in computing. This result, despite being very negative from the point of view of quantum error control, is not surprising for isotropic errors.
The other type of quantum error studied by the authors in [17] is more important: qubit independent errors. They are much more difficult to analyze because they do not have as much symmetry as isotropic errors but they are errors that occur in real quantum computers. To facilitate the analysis, the authors focus on the
If
Note that the second property is the same for both types of quantum error. And, as regards the first, there is not much difference between a uniform distribution on a sphere and a centrally symmetric distribution, if they both approximate a point
Some reviewers have questioned the result of [17] for not considering that quantum states can be multiplied by a phase without physically changing their state. However, the authors of this work introduce the quantum variance that considers this fact,
and relate it to the most common error measure in quantum computing, fidelity
These inequalities show that quantum variance and fidelity are essentially equivalent, since when quantum variance tends to
and, taking into account that
and the Eq. (5) we obtain:
We observe that the difference between the quantum variance and the variance are the weight functions of
Weight functions for quantum variance (red) and variance (blue).
Even for large errors, for example a uniform distribution function
In [19], the study of isotropic errors is extended by analyzing the capacity of quantum codes to improve fidelity, and similar results to those presented in [16] are obtained: quantum codes do not improve the fidelity of uncoded quantum states for this type of error.
The results presented in [16, 17, 19] remind us that the quantum computing model is continuous and that the treatment of continuous quantum errors has many subtleties and it is an extraordinarily difficult challenge. Right now we are at a crossroads: extend fault-tolerant quantum computing to error models that include continuous errors or search for a discrete model of quantum computing that allows easier error control. The first road presents formidable difficulties: the fault-tolerant quantum architecture is based exclusively on discrete quantum errors and there is no analogical (continuous) system in the world comparable in complexity to a computer. The second one includes two processes: defining a discrete quantum computing model and finding a quantum system that allows the model to be implemented. It is difficult to know which of the two approaches will lead us to real quantum computing and, for this reason, both should be explored. In this work we study the second one.
A discrete quantum computing model has already been published [20] and, as far as we know, it is the first. In this work Gatti and Lacalle present a discrete quantum computing model based on the following basic requirements:
It describes real states in Quantum Physics.
It preserves the main characteristics of quantum states: superposition, parallelism and entanglement.
It allows to approximate general quantum states.
It contains simple quantum states.
Of all the possible sets of discrete quantum states, there is one that, fulfilling the first three properties, is the most outstanding in terms of simplicity of the states. It is the set of Gaussian coordinate states, which includes all the quantum states whose coordinates in the computation base, except for a normalization factor
To define the model they also need to introduce a set of quantum gates that verify the following properties: it contains quantum gates that transform discrete states into discrete states, and it generates all discrete quantum states. And they includes two elementary quantum gates that verify the above properties,
This quantum gate allows the construction of all Gaussian coordinate states (discrete states) and it is because of this that they call it
This model of discrete quantum computing is related to Number Theory since discrete quantum states
must verify the following diophantine equation:
where
However, we must go one step further with the model of discrete quantum computing, so do not have the same error handling problem again. We need the discrete quantum states to have a basin of attraction associated with them so that any state that falls inside is automatically self-correcting, transforming into the discrete state. This process is used in the manufacture of hardware for classic computers with enormously satisfactory results.
However, Quantum Physics does not allow the application of this process. First of all, self-correction is not a one-to-one transformation and therefore cannot be unitary. And secondly, it cannot be the result of a quantum measurement either because the probability that the result was not the associated discrete state would be greater than zero. Consequently, we need Quantum Physics to go one step further to have the control that discrete quantum computing requires. Is this possible? We believe that this question should have an affirmative answer if the following one does: Is quantum computing possible?
In the following sections we develop further the ideas presented in this introduction.
Today’s quantum error control has two essential components: quantum error correction codes [3, 4, 5, 6, 7, 8] and fault-tolerant quantum computing [9, 10, 11, 12, 13, 14, 15]. There are textbooks on this subject, such as Gaitan’s [22].
Calderbank and Shor [3] and Steane [4] discovered an important class of quantum error correcting codes. The Calderbank-Shor-Steane (CSS) codes are constructed from two classical binary codes. Another approach to the subject originated the quantum stabilizer codes [5, 6, 7, 8]. However, to better understand the role of quantum codes in correcting errors, a general description of them is more useful, without going into the detail of their internal structure.
An quantum error correcting code of dimension
The
That is,
Suppose that a coded state
then the quantum code allows us to retrieve the initial state
An error that does not satisfy Formula (18), that is, it does not belong to
Finally, we want to highlight that discrete errors can be chosen so that, for example, all errors affecting a single qubit are fixed. The best code with this feature that encodes one qubit is the
Fault-tolerant quantum computing was proposed with the aim of proving the quantum threshold theorem or quantum fault-tolerance theorem: a quantum computer with a physical error rate below a certain threshold can, through application of quantum error correction schemes, suppress the logical error rate to arbitrarily low levels. Shor first proved a weak version [9] and the theorem was independently proven by the groups of Aharanov and Ben-Or [15], Knill, Laflamme and Zurek [13] and Kitaev [14].
The essential elements of fault-tolerant quantum computing [9, 13, 15] are as follows: the encoding of each of the qubits with quantum error-correcting codes, the use of fault-tolerant quantum gates, the application of quantum gates on coded qubits (encoded operations) and the concatenation of quantum error-correcting codes.
Another essential element for the proof of the quantum threshold theorem is the quantum error model used. Shor [9] assumes that there is no decoherence error and considers that in a quantum gate an error occurs with probability
Knill, Laflamme and Zurek [13] and Aharanov and Ben-Or [15] consider both decoherence errors and errors in quantum gates and also assume the independence of errors on different qubits. The first [13] analyze quasi-independent and monotonic errors with error strength
In all cases, the parameter
The discretized quantum error model together with the concatenation of error-correcting quantum codes are the key elements in the proof of the quantum threshold theorem. The effect of the conjugation of both is as follows (see for example Figure 6 in [13]):
where we have used the
But this approach cannot be used in all cases, for example for the decoherence error, since in this case the reality is different: the probability of errors occurring in all qubits is
Another key to fault-tolerant quantum computing is to avoid quantum gates that act on two qubits belonging to the same quantum code instance (implementation of fault-tolerant quantum gates for the used quantum code). In this way, the imprecision of the quantum gates only introduces error in at most one qubit of each instance of the quantum code. However, the error in
The use of an instance of an error correcting quantum code of dimension
Finally, it should be noted that the use of quantum codes produces an additional increase in decoherence by increasing the execution time of the algorithms.
Despite the difficulties raised above for the effective control of quantum errors, the discrete quantum error model or stochastic quantum error model allows the proof of the quantum threshold theorem. But unfortunately this model of quantum computing errors does not allow a realistic analysis of continuous quantum computing errors. These break the golden rule of error correction: all small errors must be corrected. The road of fault-tolerant quantum computing goes through including continuous errors in the quantum threshold theorem. This is a huge challenge and for this reason it is interesting to investigate other possible roads.
We are interested in discrete quantum computing because it could lead us to a quantum computing where error control was an easier challenge. In the literature there are some works on discrete quantum computing. They generally intend to simplify or better understand the quantum model: introducing modal concepts and finite fields for the representation of quantum amplitudes [25, 26, 27, 28, 29], using discretization for the design of algorithms [30], relating the structures of computation and the foundations of physics [31, 32, 33, 34, 35, 36, 37, 38] and studying universal sets of discrete quantum gates [39, 40, 41, 42, 43].
As we have already commented in the Introduction, a discrete quantum computing model has already been published [20]. It is a model in which discretization is applied both to quantum states and to quantum gates and that aims to become independent from the standard quantum model (continuous model) and even, if possible, from continuous hardware (Quantum Physics). The presented discrete quantum computing model is based on the following basic requirements:
It describes real states in Quantum Physics.
It preserves the main characteristics of quantum states: superposition, parallelism and entanglement.
It allows to approximate general quantum states.
It contains simple quantum states.
Of all the possible sets of discrete quantum states, there is one that, fulfilling the first three properties, is the most outstanding in terms of simplicity of the states. It is the set of Gaussian coordinate states, which includes all the quantum states whose coordinates in the computation base, except for a normalization factor
To define the model the authors introduce a set of elementary quantum gates that verify the following properties: it contains quantum gates that transform discrete states into discrete states, and it generates all discrete quantum states. This set includes two quantum gates that verify the above properties,
This model of discrete quantum computing is related to Number Theory since discrete quantum states
must verify the following diophantine equation:
where
As we will see in the next subsection, the level of a discrete state is defined as the lowest natural number
where
The superposition principle is also satisfied for non-orthogonal discrete states. For example for the following two discrete states of level
Discrete state
The quantum gates
They also allow obtaining other quantum gates that are commonly used:
The set of discrete quantum states
The conforming quantum gates
The set of Gaussian coordinate states
Discrete states are classified by levels. We say that a discrete state
Given
Given a number
In discrete quantum computing, the parity and the parity pattern of the coordinates are important. Given a coordinate
From formula (26) it is easy to deduce that the number of coordinates with parity
The proof that the set of discrete states
Therefore, for the state to be reducible, all the coordinates of the state resulting from the application of
The proof starts from a discrete state of level
If all the coordinates are already placed, the state is reducible. Otherwise the first two coordinates will have parity patterns
where
The quantum gate
Rotation of the parity patterns by the quantum gate
The introduced discrete quantum computing model satisfies some properties that the authors did not expect to hold. They define discrete quantum gates as the quantum gates that leave the set of discrete states invariant. This means that a quantum gate is discrete if applying it to any discrete state produces another discrete state as a result.
Discrete quantum gates are characterized by a simple property: a quantum gate is discrete if and only if the columns of its matrix, with respect to the computational base, are discrete states with levels of the same parity. This characterization is also fulfilled by substituting the columns of the matrix for the rows, since the matrix is unitary.
The number of discrete gates of one-qubit is finite because the number of discrete states of one-qubit is also finite:
Like discrete states, discrete gates are classified by levels. The level of a discrete gate is defined as the highest of the levels of its columns, considered as discrete states. Obviously if we defined the level of a discrete gate using the rows instead of the columns, the result would be the same.
To proof that a discrete gate can be obtained as a product of gates
Gatti and Lacalle prove it for discrete two-qubit quantum gates and conjecture that the result is true for any number of qubits. To do this, they generalize the properties of the parity patterns already introduced to the discrete gates (see Figure 3). They introduce the following concepts:
Simple match: Given two columns of a discrete gate, we will say that there is a simple match, when there exist elements in both columns, corresponding to the same row, with the real parts or the imaginary parts both odd.
Cross match: Given two columns of a discrete gate, we will say that there is a cross match, when there exist elements in both columns, corresponding to the same row, with the real part of one and the imaginary part of the other both odd.
Odd coordinate component matches.
From this definition and taking into account that the columns of a discrete gate are orthogonal discrete states, we can observe:
The number of odd elements in any column of a discrete gate is even.
Given two columns of a discrete gate, the number of simple matches and the number of cross matches are even.
We remark that every result about the columns of a quantum gate is also valid for the rows, since the matrix is unitary.
As it happened with the quantum states, we need to appeal to the gates
The proof that discrete two-qubit quantum gates can be generated from gates
Conjecture 1 can be generalized as follows.
Observe that the conjecture also makes sense for
Before continuing, let us relax the discrete state level definition given in the previous section to any value of
Let us see that, somehow, building a set of orthogonal discrete states is equivalent to completing the set to an orthonormal base. For this reason we will focus in the following problem:
Considering that every discrete
The fact that establishes the connection between discrete quantum computing and Lagrange’s four-square theorem is that the discrete states have to satisfy Eq. (26). Lagrange’s four-square theorem [44] says that every natural number is a sum of four squared integer numbers and, consequently, guarantees that there exist discrete states for any level
Problem 1 is an orthogonal version of Lagrange’s four-square theorem, i.e. the discrete state
Note that given a value of
Problem 1 turns out to be a difficult question in Number Theory and has deep implications. For this reason we begin with the following simplification that most resembles Lagrange’s four-square problem:
Given a natural number
Given a
In this context, the problem we are dealing with (Problem 2) is stated as follows: given a prime number
To prove the result, the authors consider four cases. Three of them are solved with basic linear algebra techniques. However the fourth case is much more difficult, and requires the use of lattices and some Number Theory results.
Case 1: one vector
If the
Case 2: two vectors
If the
Case 3: three vectors
If the
So far, attempts to extend the proof of Problem 2 to arbitrary values of the natural number
If we generalize Problem 2 by applying it to other dimensions, we see that counterexamples can be found for every dimension
In all the problems raised and the conjectures established, the parities of the coordinates are important and, where appropriate, their parity patterns. It is also interesting to note that if we only want orthogonal systems, without specifying the norm or level of the vector with which we want to extend the system, all problems and conjectures are solved affirmatively.
Finally, we want to comment that the authors of the work in which discrete quantum computing is related to Lagrange’s four-square theorem [21], conjecture that Problem 1 has an affirmative answer.
Discrete quantum computing could in principle make error control easier. But in order to take advantage of the fact that quantum states are discrete, Quantum Physics must allow the construction of self-correcting systems. A system with these characteristics associates a basin of attraction with each discrete state so that whenever the
We believe that Quantum Physics can take one step further in the description of physical systems. Quantum Physics still fails to explain fundamental physical concepts, to the point that physicists as relevant as Feynman said “I think I can safely say that nobody understands quantum mechanics” and Quantum Mechanics has a reputation for being especially mysterious.
An example of a surprising result is the the no-cloning theorem [45, 46, 47], which states that it is impossible to create an independent and identical copy of an arbitrary unknown quantum state. This result of Quantum Physics contrasts with the self-reproducing systems of nature and is also derived from the Schrödinger equation, that predicts a unitary evolution of physical systems.
Quantum Physics has so far failed to explain the concepts for which it has acquired the fame of mysterious. We must assume that these mysteries are intrinsic to the nature of physical systems or that there is a road for Quantum Physics to explain them and open new paths for its development. Next we are going to analyze some of the less understandable concepts of Quantum Physics.
The first concept that is difficult to understand is the wave-particle duality. These concepts are inherently incompatible and nevertheless both are necessary to explain many results of Quantum Physics. If we assume that physical systems have a coherent physical description, we must conclude that elementary particles are neither waves nor particles. Therefore they must be something else.
On the other hand, the postulates of Quantum Physics introduce two processes to describe the evolution of physical systems: the Schrödinger equation and quantum measurements. The first predicts a unitary evolution of physical systems while the second seems to violate the prediction of the first. Many researchers assume that the result of the measurement of a quantum system is a random process whose probabilities depend on the measured system and not on the device that performs the measurement, and that the result is random, that is, there are no hidden variables that determine the result deterministically. In this interpretation the measurement process violates the Schrödinger equation. Other interpretations regard quantum states as statistical information about quantum systems, thus asserting that abrupt and discontinuous changes of quantum states are not problematic, simply reflecting updates of the available information. These reinforce the mysterious character of Quantum Physics and change its objective of describing physical systems for that of only obtaining information.
Finally, we want to comment on the interpretations made of the wave function obtained by solving the Schrodinger equation. It is common to hear that the wave function, for example of an electron, does not indicate that the particle is at all points where the wave function is not zero and that it is not an indicator of our ignorance of the position of the particle. On the one hand we give all the credit to the Schrödinger equation and on the other we take it away from the wave function.
As we see the controversy continues to haunt Quantum Physics. From our point of view, Quantum Physics has found a prediction system for the results of the measurements of physical systems, but it does not describe them. This prevents Quantum Physics from advancing in the deductive knowledge of physical systems, leaving only the advance based on experimentation. Does Quantum Physics really describe everything we can know about physical systems? We do not believe it.
What can be done to get out of this loop? We believe that we should focus on the initial problem: the wave-particle duality. As we have indicated before, this dilemma indicates that elementary particles are neither waves nor particles. Therefore the first objective is to determine its nature. To do this, we must look for questions that can be answered through the design of experiments and that shed light on the nature of elementary particles. In our opinion the first important question is the following: In how many points of space can an elementary particle be simultaneously?
Physics, in addition to the problems of Quantum Physics already mentioned, also has serious problems to combine two of its most notable theories: General Relativity and Quantum Physics. Undoubtedly, any theory that goes in the direction of discretizing space must also consider the discretization of time. In our study we only intend to contribute ideas so that Quantum Physics can overcome the controversies that it is not able to explain. We do not start from the hypothesis that Quantum Physics must be a discretized theory, but we believe that it must be a theory that allows self-correction and that this property must allow the implementation of a discrete quantum computation.
In Quantum Physics, different types of discretization have been proposed, in addition to the one presented in this article. Thus, in [48] a discretization of the quantum state space is proposed in order to explain Born’s rule for probabilities. The proposal, despite being very similar to the one we have presented in this article, has very different objectives. In [48] it is used to try to explain two of the most important interpretations of Quantum Physics: Many Worlds and Copenhagen interpretation. In our case the objective is to define a discrete quantum computing model allowing effective control of quantum errors. And this objective leads us to pose an important question, aimed at explaining the wave-particle duality: In how many points of space can an elementary particle be simultaneously?
Elementary particles cannot be in only one position in space because they cannot explain their behavior as waves. Then, in how many positions can they be simultaneously? The answer can be a finite number greater than one, a countable infinite number, or even an uncountable infinite number. Due to the principle of simplicity, we are inclined to take as a working hypothesis that the answer is a finite number greater than one.
And what does it mean for a particle to be simultaneously at various points in space? In our hypothesis the particle orbit between all its possible positions but being in only one at each time. Therefore simultaneity must be taken in a non-strict sense. That a particle orbits in different points means that it disappears from one point and appears in another and so on. The particle does not travel from one point to another through ordinary space and, in this sense, it may violate the special relativistic principle of speed limitation. Colloquially speaking the particle travels through a “wormhole”, without deforming space through large concentrations of mass.
And, why do we choose this elementary particle model as a hypothesis? Because as we have said, the particle must be able to be in more than one point simultaneously and there are already experimental results of quantum nonlocality [49, 50, 51, 52, 53]. As far as we know, quantum nonlocality does not allow for faster-than-light communication and it is generally assumed that is compatible with special relativity and its universal speed limit of objects. We believe that quantum nonlocality in some sense violates the aforementioned principle of special relativity. We do not believe that the physical characteristics of the systems should be subordinated to the ability to transmit information.
From our point of view, the multi-position structure of the particles generates nonlocality in the usual space and breaks its Euclidean behavior. In this way physical systems can interact non-locally in space through their multi-position structure.
Another question that arises naturally from our working hypothesis is how scattered can the points that define an elementary particle be in space? Non-point particles can naturally explain their intrinsic angular momentum and this, in turn, give us information about the structure of the particles. For example, a particle that could be in three points in space would have an angular momentum proportional to the area of the triangle determined by its positions. This would indicate that the dispersion of the particles would occur on typical scales of Quantum Physics.
The multi-position particle hypothesis would again bring up some problems that originated Quantum Theories, such as, for example, the stability of atoms. This problem would be solved by the spatial scattering of the electrons around the nucleus. In this case the far electromagnetic field generated by the electrons would decrease faster than the inverse of the square of the distance and this would prevent the electrons from losing their energy in the form of electromagnetic radiation.
Our hypothesis would force us to readapt Quantum Theory. Therefore, we should plan experiments that allow us to contrast it. Is this possible?
We would like to propose a couple of experiments that could theoretically provide information on our hypothesis about the structure of elementary particles. The first is a variation of the flagship experiment in which the wave-particle duality of elementary particles is tested: the double-slit experiment. The second uses a known quantum effect: the quantum tunneling.
The objective of this experiment is to determine if the particles, according to our hypothesis, can be simultaneously in exactly
We start the experiment by choosing
It would be necessary to estimate if the measurements can be precise enough to distinguish the two patterns and, in the first, if the probability of the
Quantum tunneling experiment.
The objective of this experiment is to determine if the state of the particles influences the probability of quantum tunneling. If this influence is confirmed, it would mean that the orientation of the intrinsic angular momentum of the particles determines in some way the internal structure of the particle against the potential barrier. This could be explained quite understandably with the hypothesis that the particles are in exactly
We believe that it is not difficult to design more experiments that can shed light on our hypothesis of elementary particles. At this moment we are studying the dynamics of these multi-position particles.
In this article we introduce the discrete quantum computing as an alternative road to real quantum computing. The discrete quantum computing model is of great interest in itself both because, while maintaining all the important properties of quantum computing, it is an especially simplicity model and because error control is theoretically easier in this model. The introduced discrete quantum computing model satisfies some surprising properties that the authors believed would not hold and has deep connections to Number Theory.
The reason we set out on this alternative road to quantum computing is because error control in quantum computing is an extremely difficult challenge. The fact that the quantum computing model is continuous means that the golden rule of error control cannot be used: small errors are exactly corrected. A quantum computer is a very complex system from the point of view of error control. It allows reaching any quantum state (solution to the instance of a problem) by any path (algorithm). Doing this while keeping the error (entropy?) controlled is certainly an impressive challenge. As a consequence of the difficulty of controlling errors in continuous systems, there is no analog (continuous) device remotely comparable in operational complexity to a computer.
However, Quantum Physics does not allow the implementation of a discrete quantum computing model that allows self-correction of errors. To overcome this difficulty we ask Quantum Physics to go one step further in describing physical systems, beyond the prediction of measurement results. For this we propose a hypothesis about the nature of elementary particles that tries to overcome the never-understandable principle of wave-particle duality.
Summarizing, we propose an alternative road to quantum computing that passes through the discretization of this computing model and overcoming the interpretation gaps of Quantum Physics relative to the physical systems.
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His studies in robotics lead him not only to a PhD degree but also inspired him to co-found and build the International Journal of Advanced Robotic Systems - world's first Open Access journal in the field of robotics.",institutionString:null,institution:{name:"TU Wien",country:{name:"Austria"}}},{id:"441",title:"Ph.D.",name:"Jaekyu",middleName:null,surname:"Park",slug:"jaekyu-park",fullName:"Jaekyu Park",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/441/images/1881_n.jpg",biography:null,institutionString:null,institution:{name:"LG Corporation (South Korea)",country:{name:"Korea, South"}}},{id:"465",title:"Dr.",name:"Christian",middleName:null,surname:"Martens",slug:"christian-martens",fullName:"Christian Martens",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Rheinmetall (Germany)",country:{name:"Germany"}}},{id:"479",title:"Dr.",name:"Valentina",middleName:null,surname:"Colla",slug:"valentina-colla",fullName:"Valentina Colla",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/479/images/358_n.jpg",biography:null,institutionString:null,institution:{name:"Sant'Anna School of Advanced Studies",country:{name:"Italy"}}},{id:"494",title:"PhD",name:"Loris",middleName:null,surname:"Nanni",slug:"loris-nanni",fullName:"Loris Nanni",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/494/images/system/494.jpg",biography:"Loris Nanni received his Master Degree cum laude on June-2002 from the University of Bologna, and the April 26th 2006 he received his Ph.D. in Computer Engineering at DEIS, University of Bologna. On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. His research interests include pattern recognition, bioinformatics, and biometric systems (fingerprint classification and recognition, signature verification, face recognition).",institutionString:null,institution:null},{id:"496",title:"Dr.",name:"Carlos",middleName:null,surname:"Leon",slug:"carlos-leon",fullName:"Carlos Leon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Seville",country:{name:"Spain"}}},{id:"512",title:"Dr.",name:"Dayang",middleName:null,surname:"Jawawi",slug:"dayang-jawawi",fullName:"Dayang Jawawi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Technology Malaysia",country:{name:"Malaysia"}}},{id:"528",title:"Dr.",name:"Kresimir",middleName:null,surname:"Delac",slug:"kresimir-delac",fullName:"Kresimir Delac",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/528/images/system/528.jpg",biography:"K. Delac received his B.Sc.E.E. degree in 2003 and is currentlypursuing a Ph.D. degree at the University of Zagreb, Faculty of Electrical Engineering andComputing. His current research interests are digital image analysis, pattern recognition andbiometrics.",institutionString:null,institution:{name:"University of Zagreb",country:{name:"Croatia"}}},{id:"557",title:"Dr.",name:"Andon",middleName:"Venelinov",surname:"Topalov",slug:"andon-topalov",fullName:"Andon Topalov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/557/images/1927_n.jpg",biography:"Dr. Andon V. Topalov received the MSc degree in Control Engineering from the Faculty of Information Systems, Technologies, and Automation at Moscow State University of Civil Engineering (MGGU) in 1979. He then received his PhD degree in Control Engineering from the Department of Automation and Remote Control at Moscow State Mining University (MGSU), Moscow, in 1984. From 1985 to 1986, he was a Research Fellow in the Research Institute for Electronic Equipment, ZZU AD, Plovdiv, Bulgaria. In 1986, he joined the Department of Control Systems, Technical University of Sofia at the Plovdiv campus, where he is presently a Full Professor. He has held long-term visiting Professor/Scholar positions at various institutions in South Korea, Turkey, Mexico, Greece, Belgium, UK, and Germany. And he has coauthored one book and authored or coauthored more than 80 research papers in conference proceedings and journals. His current research interests are in the fields of intelligent control and robotics.",institutionString:null,institution:{name:"Technical University of Sofia",country:{name:"Bulgaria"}}},{id:"585",title:"Prof.",name:"Munir",middleName:null,surname:"Merdan",slug:"munir-merdan",fullName:"Munir Merdan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/585/images/system/585.jpg",biography:"Munir Merdan received the M.Sc. degree in mechanical engineering from the Technical University of Sarajevo, Bosnia and Herzegovina, in 2001, and the Ph.D. degree in electrical engineering from the Vienna University of Technology, Vienna, Austria, in 2009.Since 2005, he has been at the Automation and Control Institute, Vienna University of Technology, where he is currently a Senior Researcher. His research interests include the application of agent technology for achieving agile control in the manufacturing environment.",institutionString:null,institution:null},{id:"605",title:"Prof",name:"Dil",middleName:null,surname:"Hussain",slug:"dil-hussain",fullName:"Dil Hussain",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/605/images/system/605.jpg",biography:"Dr. Dil Muhammad Akbar Hussain is a professor of Electronics Engineering & Computer Science at the Department of Energy Technology, Aalborg University Denmark. Professor Akbar has a Master degree in Digital Electronics from Govt. College University, Lahore Pakistan and a P-hD degree in Control Engineering from the School of Engineering and Applied Sciences, University of Sussex United Kingdom. Aalborg University has Two Satellite Campuses, one in Copenhagen (Aalborg University Copenhagen) and the other in Esbjerg (Aalborg University Esbjerg).\n· He is a member of prestigious IEEE (Institute of Electrical and Electronics Engineers), and IAENG (International Association of Engineers) organizations. \n· He is the chief Editor of the Journal of Software Engineering.\n· He is the member of the Editorial Board of International Journal of Computer Science and Software Technology (IJCSST) and International Journal of Computer Engineering and Information Technology. \n· He is also the Editor of Communication in Computer and Information Science CCIS-20 by Springer.\n· Reviewer For Many Conferences\nHe is the lead person in making collaboration agreements between Aalborg University and many universities of Pakistan, for which the MOU’s (Memorandum of Understanding) have been signed.\nProfessor Akbar is working in Academia since 1990, he started his career as a Lab demonstrator/TA at the University of Sussex. After finishing his P. hD degree in 1992, he served in the Industry as a Scientific Officer and continued his academic career as a visiting scholar for a number of educational institutions. In 1996 he joined National University of Science & Technology Pakistan (NUST) as an Associate Professor; NUST is one of the top few universities in Pakistan. In 1999 he joined an International Company Lineo Inc, Canada as Manager Compiler Group, where he headed the group for developing Compiler Tool Chain and Porting of Operating Systems for the BLACKfin processor. The processor development was a joint venture by Intel and Analog Devices. In 2002 Lineo Inc., was taken over by another company, so he joined Aalborg University Denmark as an Assistant Professor.\nProfessor Akbar has truly a multi-disciplined career and he continued his legacy and making progress in many areas of his interests both in teaching and research. 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Fahed-Sreih"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10778",title:"Model-Based Control Engineering",subtitle:"Recent Design and Implementations for Varied Applications",isOpenForSubmission:!1,hash:"e39a567d9b6d2a45d0a1d927362c9005",slug:"model-based-control-engineering-recent-design-and-implementations-for-varied-applications",bookSignature:"Umar Zakir Abdul Hamid and Ahmad `Athif Mohd Faudzi",coverURL:"https://cdn.intechopen.com/books/images_new/10778.jpg",editedByType:"Edited by",publishedDate:"August 17th 2022",editors:[{id:"268173",title:"Dr.",name:"Umar Zakir Abdul",middleName:null,surname:"Hamid",slug:"umar-zakir-abdul-hamid",fullName:"Umar Zakir Abdul Hamid"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10780",title:"Current Trends in 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2022",editors:[{id:"226275",title:"Ph.D.",name:"Metin",middleName:null,surname:"Budak",slug:"metin-budak",fullName:"Metin Budak"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11308",title:"Selected Topics on Infant Feeding",subtitle:null,isOpenForSubmission:!1,hash:"213c3e403327a2919eca1dc5e82a0ec3",slug:"selected-topics-on-infant-feeding",bookSignature:"Isam Jaber AL-Zwaini and Haider Hadi AL-Musawi",coverURL:"https://cdn.intechopen.com/books/images_new/11308.jpg",editedByType:"Edited by",publishedDate:"August 17th 2022",editors:[{id:"30993",title:"Prof.",name:"Isam Jaber",middleName:null,surname:"Al-Zwaini",slug:"isam-jaber-al-zwaini",fullName:"Isam Jaber Al-Zwaini"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10808",title:"Current Concepts in Dental 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Raja",coverURL:"https://cdn.intechopen.com/books/images_new/11331.jpg",editedByType:"Edited by",publishedDate:"August 17th 2022",editors:[{id:"176044",title:"Dr.",name:"Ramasamy",middleName:null,surname:"Vijayakumar",slug:"ramasamy-vijayakumar",fullName:"Ramasamy Vijayakumar"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10820",title:"Data Clustering",subtitle:null,isOpenForSubmission:!1,hash:"086d299ffd05aacd2311c3ca4ebf0d3a",slug:"data-clustering",bookSignature:"Niansheng Tang",coverURL:"https://cdn.intechopen.com/books/images_new/10820.jpg",editedByType:"Edited by",publishedDate:"August 17th 2022",editors:[{id:"221831",title:"Prof.",name:"Niansheng",middleName:null,surname:"Tang",slug:"niansheng-tang",fullName:"Niansheng Tang"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10827",title:"Oral Health Care",subtitle:"An Important Issue of the Modern Society",isOpenForSubmission:!1,hash:"9a0ceb9ced4598aea3f3723f6dc4ea04",slug:"oral-health-care-an-important-issue-of-the-modern-society",bookSignature:"Lavinia Cosmina Ardelean and Laura Cristina Rusu",coverURL:"https://cdn.intechopen.com/books/images_new/10827.jpg",editedByType:"Edited by",publishedDate:"August 17th 2022",editors:[{id:"180569",title:"Dr.",name:"Lavinia",middleName:null,surname:"Ardelean",slug:"lavinia-ardelean",fullName:"Lavinia Ardelean"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"11139",title:"Geochemistry and Mineral Resources",subtitle:null,isOpenForSubmission:!1,hash:"928cebbdce21d9b3f081267b24f12dfb",slug:"geochemistry-and-mineral-resources",bookSignature:"Hosam M. Saleh and Amal I. Hassan",coverURL:"https://cdn.intechopen.com/books/images_new/11139.jpg",editedByType:"Edited by",publishedDate:"August 17th 2022",editors:[{id:"144691",title:"Prof.",name:"Hosam M.",middleName:null,surname:"Saleh",slug:"hosam-m.-saleh",fullName:"Hosam M. Saleh"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},subject:{topic:{id:"35",title:"Entomology",slug:"entomology",parent:{id:"5",title:"Agricultural and Biological Sciences",slug:"agricultural-and-biological-sciences"},numberOfBooks:6,numberOfSeries:0,numberOfAuthorsAndEditors:166,numberOfWosCitations:75,numberOfCrossrefCitations:72,numberOfDimensionsCitations:140,videoUrl:null,fallbackUrl:null,description:null},booksByTopicFilter:{topicId:"35",sort:"-publishedDate",limit:12,offset:0},booksByTopicCollection:[{type:"book",id:"10739",title:"Global Decline of Insects",subtitle:null,isOpenForSubmission:!1,hash:"543783652b9092962a8fa4bed38eeb17",slug:"global-decline-of-insects",bookSignature:"Hamadttu Abdel Farag El-Shafie",coverURL:"https://cdn.intechopen.com/books/images_new/10739.jpg",editedByType:"Edited by",editors:[{id:"192142",title:"Dr.",name:"Hamadttu",middleName:null,surname:"Abdel Farag El-Shafie",slug:"hamadttu-abdel-farag-el-shafie",fullName:"Hamadttu Abdel Farag El-Shafie"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10423",title:"The Wonders of Diptera",subtitle:"Characteristics, Diversity, and Significance for the World's Ecosystems",isOpenForSubmission:!1,hash:"2746b4288e78c8688d1be1bd9d99a127",slug:"the-wonders-of-diptera-characteristics-diversity-and-significance-for-the-world-s-ecosystems",bookSignature:"Farzana Khan Perveen",coverURL:"https://cdn.intechopen.com/books/images_new/10423.jpg",editedByType:"Edited by",editors:[{id:"75563",title:"Dr.",name:"Farzana Khan",middleName:null,surname:"Perveen",slug:"farzana-khan-perveen",fullName:"Farzana Khan Perveen"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"8929",title:"Modern Beekeeping",subtitle:"Bases for Sustainable Production",isOpenForSubmission:!1,hash:"cbf5aca68ed2c6690ad99f68aaaddcaf",slug:"modern-beekeeping-bases-for-sustainable-production",bookSignature:"Ramón Eduardo Rebolledo Ranz",coverURL:"https://cdn.intechopen.com/books/images_new/8929.jpg",editedByType:"Edited by",editors:[{id:"193813",title:"Dr.",name:"Ramón Eduardo",middleName:null,surname:"Rebolledo Ranz",slug:"ramon-eduardo-rebolledo-ranz",fullName:"Ramón Eduardo Rebolledo Ranz"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7561",title:"Beekeeping",subtitle:"New Challenges",isOpenForSubmission:!1,hash:"1c47c831256fe10ff19fb10f490930fc",slug:"beekeeping-new-challenges",bookSignature:"Ramón Eduardo Rebolledo Ranz",coverURL:"https://cdn.intechopen.com/books/images_new/7561.jpg",editedByType:"Edited by",editors:[{id:"193813",title:"Dr.",name:"Ramón Eduardo",middleName:null,surname:"Rebolledo Ranz",slug:"ramon-eduardo-rebolledo-ranz",fullName:"Ramón Eduardo Rebolledo Ranz"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"6619",title:"Insect Science",subtitle:"Diversity, Conservation and Nutrition",isOpenForSubmission:!1,hash:"08241b041b2072a88452041f8fdebe7e",slug:"insect-science-diversity-conservation-and-nutrition",bookSignature:"Mohammad Manjur Shah and Umar Sharif",coverURL:"https://cdn.intechopen.com/books/images_new/6619.jpg",editedByType:"Edited by",editors:[{id:"94128",title:"Dr.",name:"Mohammad Manjur",middleName:null,surname:"Shah",slug:"mohammad-manjur-shah",fullName:"Mohammad Manjur Shah"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"5163",title:"Beekeeping and Bee Conservation",subtitle:"Advances in Research",isOpenForSubmission:!1,hash:"fc469ff4d2cf6651cfdbf3c5cf90a469",slug:"beekeeping-and-bee-conservation-advances-in-research",bookSignature:"Emerson Dechechi Chambo",coverURL:"https://cdn.intechopen.com/books/images_new/5163.jpg",editedByType:"Edited by",editors:[{id:"94059",title:"Dr.",name:"Emerson",middleName:"Dechechi",surname:"Dechechi Chambó",slug:"emerson-dechechi-chambo",fullName:"Emerson Dechechi Chambó"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],booksByTopicTotal:6,seriesByTopicCollection:[],seriesByTopicTotal:0,mostCitedChapters:[{id:"50073",doi:"10.5772/62487",title:"Impacts of Pesticides on Honey Bees",slug:"impacts-of-pesticides-on-honey-bees",totalDownloads:3427,totalCrossrefCites:20,totalDimensionsCites:41,abstract:"This chapter focuses on the detrimental effects that pesticides have on managed honey bee colonies and their productivity. We examine first the routes of exposure of bees to agrochemicals used for crop protection and their application to crops, fate and contamination of water and plants around the fields. Most of the time, the exposure of bees to pesticides is through ingestion of residues found in the pollen and nectar of plants and in water. Honey bees are also exposed to pesticides used for the treatment of Varroa and other parasites. The basic concepts about the toxicity of the different kinds of pesticides are explained next. Various degrees of toxicity are found among agrochemicals, and emphasis is given to the classic tenet of toxicology, “the dose makes the poison,” and its modern version “the dose and the time of exposure makes the poison.” These two factors, dose and time, help us understand the severity of the impacts that pesticides may have on bees and their risk, which are analysed in the third section. Sublethal effects are also considered. The final section is devoted to some practical advice for avoiding adverse impacts of pesticides in beekeeping.",book:{id:"5163",slug:"beekeeping-and-bee-conservation-advances-in-research",title:"Beekeeping and Bee Conservation",fullTitle:"Beekeeping and Bee Conservation - Advances in Research"},signatures:"Francisco Sanchez-Bayo and Koichi Goka",authors:[{id:"74970",title:"Dr.",name:"Francisco",middleName:null,surname:"Sánchez-Bayo",slug:"francisco-sanchez-bayo",fullName:"Francisco Sánchez-Bayo"},{id:"192045",title:"Dr.",name:"Koichi",middleName:null,surname:"Goka",slug:"koichi-goka",fullName:"Koichi Goka"}]},{id:"59212",doi:"10.5772/intechopen.73864",title:"Insect Conservation for the Twenty-First Century",slug:"insect-conservation-for-the-twenty-first-century",totalDownloads:1968,totalCrossrefCites:7,totalDimensionsCites:15,abstract:"Insects have been immensely successful as an animal group. They dominate compositional diversity of all but the saltiest and coldest parts of the planet. Yet today insects are declining at a precipitous rate. This is of great concern in terms of impoverishment of Earth, and is also dire for us. Insects contribute to the maintenance of terrestrial and freshwater systems, their service delivery and their resilience. The meteoric impact of humans is challenging this dominance, yet so few people realize that the very fabric of life on which they depend is being unraveled at an alarming rate. Action is required, as are new perspectives, if we are to maintain insect diversity and services through the twenty-first century. Here, we review how we should view and act to have more effective insect diversity conservation based on six themes: (1) philosophy (establishing the ethical foundation), (2) research (the finding out), (3) policy (the framework for action), (4) psychology (understanding how to engage humans in insect conservation action), (5) practice (implementation of action), and (6) validation (establishing how well we are doing at conserving insects). We then overview some emergent challenges and solutions at both the species and landscape operational levels in agricultural, forestry, and urban environments.",book:{id:"6619",slug:"insect-science-diversity-conservation-and-nutrition",title:"Insect Science",fullTitle:"Insect Science-Diversity, Conservation and Nutrition"},signatures:"Michael J. Samways",authors:[{id:"233323",title:"Distinguished Prof.",name:"Michael",middleName:null,surname:"Samways",slug:"michael-samways",fullName:"Michael Samways"}]},{id:"79121",doi:"10.5772/intechopen.100416",title:"Botanical Insecticides Are a Non-Toxic Alternative to Conventional Pesticides in the Control of Insects and Pests",slug:"botanical-insecticides-are-a-non-toxic-alternative-to-conventional-pesticides-in-the-control-of-inse",totalDownloads:270,totalCrossrefCites:6,totalDimensionsCites:11,abstract:"Insect control for crops is one of the most critical global concerns. Pest management is an economic and ecological problem worldwide due to the human and environmental risks raised by most synthetic pesticide products. Botanical insecticides have resurfaced in popularity due to their low cost and low environmental impact, rather than their negative effects on human health. Botanical insecticides destroy only the insects they are meant to kill, leaving no residue on food or in the environment. Botanicals have long been used to combat pests. The compounds have many environmental advantages. However, as opposed to other bio-control pests and pathogens, their use was minimal during the twentieth century. In developing countries, botanical insecticides are well adapted for use in organic food production. Nonetheless, they may play a far bigger role in developed countries’ food production and post-harvest food protection. Consequently, the current chapter briefly addresses botanicals with active ingredients with insecticidal, antifeedant, or repellent properties.",book:{id:"10739",slug:"global-decline-of-insects",title:"Global Decline of Insects",fullTitle:"Global Decline of Insects"},signatures:"Nazeer Ahmed, Mukhtar Alam, Muhammad Saeed, Hidayat Ullah, Toheed Iqbal, Khalid Awadh Al-Mutairi, Kiran Shahjeer, Rafi Ullah, Saeed Ahmed, Nibal Abd Aleem Hassan Ahmed, Hanem Fathy Khater and Muhammad Salman",authors:[{id:"97300",title:"Prof.",name:"Khalid Awadh",middleName:"Al-Mutairi",surname:"Al-Mutairi",slug:"khalid-awadh-al-mutairi",fullName:"Khalid Awadh Al-Mutairi"},{id:"191884",title:"Dr.",name:"Toheed",middleName:null,surname:"Iqbal",slug:"toheed-iqbal",fullName:"Toheed Iqbal"},{id:"263876",title:"Dr.",name:"Hidayat",middleName:null,surname:"Ullah",slug:"hidayat-ullah",fullName:"Hidayat Ullah"},{id:"263877",title:"Dr.",name:"Mukhtar",middleName:null,surname:"Alam",slug:"mukhtar-alam",fullName:"Mukhtar Alam"},{id:"355528",title:"Dr.",name:"Nazeer",middleName:null,surname:"Ahmed",slug:"nazeer-ahmed",fullName:"Nazeer Ahmed"},{id:"420069",title:"Mrs.",name:"Kiran",middleName:null,surname:"Shahjeer",slug:"kiran-shahjeer",fullName:"Kiran Shahjeer"},{id:"420070",title:"Mr.",name:"Saeed",middleName:null,surname:"Ahmed",slug:"saeed-ahmed",fullName:"Saeed Ahmed"},{id:"420221",title:"Dr.",name:"Muhammad",middleName:null,surname:"Saeed",slug:"muhammad-saeed",fullName:"Muhammad Saeed"},{id:"420222",title:"Dr.",name:"Rafi",middleName:null,surname:"Ullah",slug:"rafi-ullah",fullName:"Rafi Ullah"},{id:"436507",title:"Dr.",name:"Nibal Abd Aleem",middleName:null,surname:"Hassan Ahmed",slug:"nibal-abd-aleem-hassan-ahmed",fullName:"Nibal Abd Aleem Hassan Ahmed"},{id:"436596",title:"Prof.",name:"Hanem Fathy",middleName:null,surname:"Khater",slug:"hanem-fathy-khater",fullName:"Hanem Fathy Khater"},{id:"485113",title:"Dr.",name:"Muhammad",middleName:null,surname:"Salman",slug:"muhammad-salman",fullName:"Muhammad Salman"}]},{id:"50307",doi:"10.5772/62654",title:"From Extraction to Meliponiculture: A Case Study of the Management of Stingless Bees in the West-Central Region of Mexico",slug:"from-extraction-to-meliponiculture-a-case-study-of-the-management-of-stingless-bees-in-the-west-cent",totalDownloads:2745,totalCrossrefCites:5,totalDimensionsCites:9,abstract:"Currently, stingless bees' populations are declining due to environmental degradation. In this context, the authors have developed a research project in the central-western region of Mexico with the goal to generate strategies for conservation and sustainable management of stingless bees. The chapter aims to present the process of this investigation and its main results in terms of a) local knowledge and management strategies of stingless bees, and b) the social process of technological appropriation of meliponiculture by beekeepers. We recognized specific knowledge on the biology and ecology of stingless bees that result in a system for identifying species and management strategies of wild populations of these bees based on the extraction of nests. The implementation of an innovative productive activity based on the principles of meliponiculture and current techniques has been well received by producers, which has led to the formation of the Meliponicultores Michoacanos del Balsas Association, which grows five species of stingless bees. The research suggests that conservation associated with the use of bees (integral meliponiculture) can be enhanced in the region. Faced with the loss of biodiversity and environmental crisis, it is essential to maintain and enhance local knowledge of stingless bees and management practices. This represents an alternative to develop management schemes that allow the raising and breeding of these bees, while its products are obtained.",book:{id:"5163",slug:"beekeeping-and-bee-conservation-advances-in-research",title:"Beekeeping and Bee Conservation",fullTitle:"Beekeeping and Bee Conservation - Advances in Research"},signatures:"Alejandro Reyes-González, Andrés Camou-Guerrero and Salvador\nGómez-Arreola",authors:[{id:"179951",title:"Dr.",name:"Andres",middleName:null,surname:"Camou-Guerrero",slug:"andres-camou-guerrero",fullName:"Andres Camou-Guerrero"},{id:"185413",title:"MSc.",name:"Alejandro",middleName:null,surname:"Reyes-González",slug:"alejandro-reyes-gonzalez",fullName:"Alejandro Reyes-González"},{id:"192049",title:"Dr.",name:"Salvador",middleName:null,surname:"Gómez-Arreola",slug:"salvador-gomez-arreola",fullName:"Salvador Gómez-Arreola"}]},{id:"50683",doi:"10.5772/63145",title:"Advances in Pharmacological Activities and Chemical Composition of Propolis Produced in Americas",slug:"advances-in-pharmacological-activities-and-chemical-composition-of-propolis-produced-in-americas",totalDownloads:2583,totalCrossrefCites:2,totalDimensionsCites:8,abstract:"Propolis is a resinous material produced by bees from the selective collection of plant exudates that are subsequently mixed with beeswax and salivary bee secretions. Propolis has been used in folk medicine, and certainly, several studies have validated its biological properties. The chemical composition and pharmacological activities of propolis collected through North (including Central America and Caribbean) and South America have been studied in the last years, and several papers have reported differences and similarities among the analysed geographical samples. Propolis has been classified according to its aspect and plant source; however, the ecological diversity present along the Americas provides a plethora of botanical resins. Herein, we summarize and discuss most of the studies performed at present on this profitable product for apiculture, attempting to compare the bioactivity, phytochemical diversity and botanical sources of honeybee propolis produced in Americas.",book:{id:"5163",slug:"beekeeping-and-bee-conservation-advances-in-research",title:"Beekeeping and Bee Conservation",fullTitle:"Beekeeping and Bee Conservation - Advances in Research"},signatures:"Efrain Alday, Moisés Navarro-Navarro, Adriana Garibay-Escobar,\nRamón Robles-Zepeda, Javier Hernandez and Carlos Velazquez",authors:[{id:"96966",title:"MSc.",name:"Moises",middleName:null,surname:"Navarro-Navarro",slug:"moises-navarro-navarro",fullName:"Moises Navarro-Navarro"},{id:"180409",title:"Dr.",name:"Carlos",middleName:null,surname:"Velazquez",slug:"carlos-velazquez",fullName:"Carlos Velazquez"},{id:"186351",title:"Dr.",name:"Ramón",middleName:null,surname:"Robles-Zepeda",slug:"ramon-robles-zepeda",fullName:"Ramón Robles-Zepeda"},{id:"186352",title:"MSc.",name:"Efrain",middleName:null,surname:"Alday",slug:"efrain-alday",fullName:"Efrain Alday"},{id:"186353",title:"Dr.",name:"Javier",middleName:null,surname:"Hernandez",slug:"javier-hernandez",fullName:"Javier Hernandez"},{id:"189161",title:"Dr.",name:"Adriana",middleName:null,surname:"Garibay-Escobar",slug:"adriana-garibay-escobar",fullName:"Adriana Garibay-Escobar"}]}],mostDownloadedChaptersLast30Days:[{id:"50170",title:"A Comprehensive Characterization of the Honeybees in Siberia (Russia)",slug:"a-comprehensive-characterization-of-the-honeybees-in-siberia-russia-",totalDownloads:2305,totalCrossrefCites:4,totalDimensionsCites:8,abstract:"A comprehensive study of some populations of honeybee (332 colonies) in Siberia (Tomsk region, Krasnoyarsk Krai (Yenisei population), Altai) using morphometric and molecular genetic methods was conducted. Infestation of bees (132 colonies) by Nosema has also been studied. Three variants of the COI-COII mtDNA locus were registered: PQQ, PQQQ (typical for Apis m. mellifera), and Q (specific for southern races). It was established that 64% of bee colonies from the Tomsk region and all colonies studied from the Krasnoyarsk and the Altai territories originate from Apis m. mellifera on the maternal line. According to the morphometric study, the majority of bee colonies of the Tomsk region are hybrids; in some colonies the mismatch of morphometric and mtDNA data was observed. Moreover, the majority of bee colonies infected by Nosema were hybrids. Yenisei population may be considered as a unique Apis m. mellifera population. Microsatellite analysis (loci А008, Ap049, AC117, AC216, Ap243, H110, A024, A113) showed the specific distribution of genotypes and alleles for some loci in the bees, which differ by geographical location. Loci A024 and Ap049 are of considerable interest for further study as candidate markers for differentiation of subspecies; locus A008 can be considered informative for determining of different ecotypes of Apis m. mellifera.",book:{id:"5163",slug:"beekeeping-and-bee-conservation-advances-in-research",title:"Beekeeping and Bee Conservation",fullTitle:"Beekeeping and Bee Conservation - Advances in Research"},signatures:"Nadezhda V. Ostroverkhova, Olga L. Konusova, Aksana N. Kucher\nand Igor V. Sharakhov",authors:[{id:"180112",title:"Ph.D.",name:"Nadezhda",middleName:null,surname:"Ostroverkhova",slug:"nadezhda-ostroverkhova",fullName:"Nadezhda Ostroverkhova"},{id:"180249",title:"Ms.",name:"Olga",middleName:null,surname:"Konusova",slug:"olga-konusova",fullName:"Olga Konusova"},{id:"180342",title:"Prof.",name:"Aksana",middleName:null,surname:"Kucher",slug:"aksana-kucher",fullName:"Aksana Kucher"},{id:"180343",title:"Prof.",name:"Igor",middleName:null,surname:"Sharakhov",slug:"igor-sharakhov",fullName:"Igor Sharakhov"}]},{id:"70501",title:"Southeast Asian Meliponiculture for Sustainable Livelihood",slug:"southeast-asian-meliponiculture-for-sustainable-livelihood",totalDownloads:1267,totalCrossrefCites:2,totalDimensionsCites:5,abstract:"Stingless bees (Apidae: Meliponini) are one of the most important pollinators of native plants and economic crops in tropical and subtropical parts of the world. They not only establish large perennial colonies with complex social organization but also have a diverse nesting biology. The economic utilization of a total of 60 stingless bee species in Asia has been reported. The current status of meliponiculture in Southeast Asia is mainly focused on pollination utilization and honey and propolis production. This chapter shows that small-scale beekeeping of stingless bees, which is suitable for the flowering pattern in the tropics, is one of the best potential alternative opportunities. The cost-effectiveness analysis based on production yield, investment cost, and profit-return rate is reviewed. Finally, a sustainable utilization of stingless bees is considered to be an enhancer of pollination services both in an agricultural crop and natural ecosystem.",book:{id:"8929",slug:"modern-beekeeping-bases-for-sustainable-production",title:"Modern Beekeeping",fullTitle:"Modern Beekeeping - Bases for Sustainable Production"},signatures:"Atsalek Rattanawannee and Orawan Duangphakdee",authors:[{id:"283087",title:"Ph.D.",name:"Atsalek",middleName:null,surname:"Rattanawannee",slug:"atsalek-rattanawannee",fullName:"Atsalek Rattanawannee"},{id:"306411",title:"Dr.",name:"Orawan",middleName:null,surname:"Duangphakdee",slug:"orawan-duangphakdee",fullName:"Orawan Duangphakdee"}]},{id:"50073",title:"Impacts of Pesticides on Honey Bees",slug:"impacts-of-pesticides-on-honey-bees",totalDownloads:3433,totalCrossrefCites:20,totalDimensionsCites:42,abstract:"This chapter focuses on the detrimental effects that pesticides have on managed honey bee colonies and their productivity. We examine first the routes of exposure of bees to agrochemicals used for crop protection and their application to crops, fate and contamination of water and plants around the fields. Most of the time, the exposure of bees to pesticides is through ingestion of residues found in the pollen and nectar of plants and in water. Honey bees are also exposed to pesticides used for the treatment of Varroa and other parasites. The basic concepts about the toxicity of the different kinds of pesticides are explained next. Various degrees of toxicity are found among agrochemicals, and emphasis is given to the classic tenet of toxicology, “the dose makes the poison,” and its modern version “the dose and the time of exposure makes the poison.” These two factors, dose and time, help us understand the severity of the impacts that pesticides may have on bees and their risk, which are analysed in the third section. Sublethal effects are also considered. The final section is devoted to some practical advice for avoiding adverse impacts of pesticides in beekeeping.",book:{id:"5163",slug:"beekeeping-and-bee-conservation-advances-in-research",title:"Beekeeping and Bee Conservation",fullTitle:"Beekeeping and Bee Conservation - Advances in Research"},signatures:"Francisco Sanchez-Bayo and Koichi Goka",authors:[{id:"74970",title:"Dr.",name:"Francisco",middleName:null,surname:"Sánchez-Bayo",slug:"francisco-sanchez-bayo",fullName:"Francisco Sánchez-Bayo"},{id:"192045",title:"Dr.",name:"Koichi",middleName:null,surname:"Goka",slug:"koichi-goka",fullName:"Koichi Goka"}]},{id:"74836",title:"Chironomidae: Biology, Ecology and Systematics",slug:"chironomidae-biology-ecology-and-systematics",totalDownloads:479,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"The family of Chironomidae is a group of Diptera insects belonging to the suborder of Nematocera, commonly called “non-biting midges” in the adult stage and “bloodworms” in the larval stage. The Chironomidae are often the most abundant group of macroinvertebrates, in number of species and individuals, encountered in all aquatic environments of freshwater, brackish, terrestrial and even the sea. Likewise, Chironomidae occur in all the continents. The Chironomidae family is divided into 11 sub-families that have diffrent ecological statues. Despite the wealth of data on Chironomidae in the Holarctic region, other parts of the world are poorly studied and few guides to identifying Chironomidae have been produced. This chapter includes a theoretical synthesis on the Chironomidae, it deals with the Biology (life cycle and description of different stages), description of all subfamilies and the ecology of this important family of Diptera.",book:{id:"10423",slug:"the-wonders-of-diptera-characteristics-diversity-and-significance-for-the-world-s-ecosystems",title:"The Wonders of Diptera",fullTitle:"The Wonders of Diptera - Characteristics, Diversity, and Significance for the World's Ecosystems"},signatures:"Zerguine Karima",authors:[{id:"334825",title:"Dr.",name:"Karima",middleName:null,surname:"Zerguine",slug:"karima-zerguine",fullName:"Karima Zerguine"}]},{id:"75438",title:"Characteristics of Dipteran Insects",slug:"characteristics-of-dipteran-insects",totalDownloads:517,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Diptera means two wings (Di: two, pteron: wing). They have complete metamorphosis and they are holometabolous insects which means there are 4 stages (egg, larvae, pupae and adult). The name of larval stage is “maggot”. Some of the dipteran insects cause damage in agricultural production. Some are harmful for humans. Dipteran insects have two wings. Hind wings are reduced and they are called “halteres”. Function of halteres is balancing when the insects fly. Except mosquitoes, dipteran insects have sponging-sucking mouthparts. Important examples for dipteran insects are Olive fruit fly and Medfly which cause damages in agricultural production. OFF is the most destructive pest in olive growing areas and Mediterranean fruit fly cause damages in fruit production.",book:{id:"10423",slug:"the-wonders-of-diptera-characteristics-diversity-and-significance-for-the-world-s-ecosystems",title:"The Wonders of Diptera",fullTitle:"The Wonders of Diptera - Characteristics, Diversity, and Significance for the World's Ecosystems"},signatures:"Murat Helvacı",authors:[{id:"301984",title:"Ph.D.",name:"Murat",middleName:null,surname:"Helvaci",slug:"murat-helvaci",fullName:"Murat Helvaci"}]}],onlineFirstChaptersFilter:{topicId:"35",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:11,numberOfPublishedChapters:91,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:108,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:33,numberOfPublishedChapters:333,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:14,numberOfPublishedChapters:145,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:11,numberOfPublishedChapters:144,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:126,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:113,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:23,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:13,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:"2753-6580",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:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. This Series is intended for researchers and students alike interested in this fascinating field and its many applications.",coverUrl:"https://cdn.intechopen.com/series/covers/14.jpg",latestPublicationDate:"August 17th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:11,editor:{id:"218714",title:"Prof.",name:"Andries",middleName:null,surname:"Engelbrecht",slug:"andries-engelbrecht",fullName:"Andries Engelbrecht",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRNR8QAO/Profile_Picture_1622640468300",biography:"Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.",institutionString:null,institution:{name:"Stellenbosch University",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:6,paginationItems:[{id:"22",title:"Applied Intelligence",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",isOpenForSubmission:!0,editor:{id:"27170",title:"Prof.",name:"Carlos",middleName:"M.",surname:"Travieso-Gonzalez",slug:"carlos-travieso-gonzalez",fullName:"Carlos Travieso-Gonzalez",profilePictureURL:"https://mts.intechopen.com/storage/users/27170/images/system/27170.jpeg",biography:"Carlos M. Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. He is a Senior Member of the IEEE Computer, the IEEE Computational Intelligence, and the IEEE Systems, Man, and Cybernetics Societies, and the Association of Computing Machinery (ACM). Finally, his main research interests include data science, computational intelligence, and their applications.",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"26",title:"Machine Learning and Data Mining",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",isOpenForSubmission:!0,editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. His research interests include intelligent and embedded systems.",institutionString:"Universidad Autonoma de Queretaro",institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null},{id:"27",title:"Multi-Agent Systems",coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",isOpenForSubmission:!0,editor:{id:"148497",title:"Dr.",name:"Mehmet",middleName:"Emin",surname:"Aydin",slug:"mehmet-aydin",fullName:"Mehmet Aydin",profilePictureURL:"https://mts.intechopen.com/storage/users/148497/images/system/148497.jpg",biography:"Dr. Mehmet Emin Aydin is a Senior Lecturer with the Department of Computer Science and Creative Technology, the University of the West of England, Bristol, UK. His research interests include swarm intelligence, parallel and distributed metaheuristics, machine learning, intelligent agents and multi-agent systems, resource planning, scheduling and optimization, combinatorial optimization. Dr. Aydin is currently a Fellow of Higher Education Academy, UK, a member of EPSRC College, a senior member of IEEE and a senior member of ACM. In addition to being a member of advisory committees of many international conferences, he is an Editorial Board Member of various peer-reviewed international journals. He has served as guest editor for a number of special issues of peer-reviewed international journals.",institutionString:null,institution:{name:"University of the West of England",institutionURL:null,country:{name:"United Kingdom"}}},editorTwo:null,editorThree:null}]},overviewPageOFChapters:{paginationCount:6,paginationItems:[{id:"82526",title:"Deep Multiagent Reinforcement Learning Methods Addressing the Scalability Challenge",doi:"10.5772/intechopen.105627",signatures:"Theocharis Kravaris and George A. Vouros",slug:"deep-multiagent-reinforcement-learning-methods-addressing-the-scalability-challenge",totalDownloads:19,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Multi-Agent Technologies and Machine Learning",coverURL:"https://cdn.intechopen.com/books/images_new/11445.jpg",subseries:{id:"27",title:"Multi-Agent Systems"}}},{id:"82196",title:"Multi-Features Assisted Age Invariant Face Recognition and Retrieval Using CNN with Scale Invariant Heat Kernel Signature",doi:"10.5772/intechopen.104944",signatures:"Kamarajugadda Kishore Kumar and Movva Pavani",slug:"multi-features-assisted-age-invariant-face-recognition-and-retrieval-using-cnn-with-scale-invariant-",totalDownloads:14,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Pattern Recognition - New Insights",coverURL:"https://cdn.intechopen.com/books/images_new/11442.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"82063",title:"Evaluating Similarities and Differences between Machine Learning and Traditional Statistical Modeling in Healthcare Analytics",doi:"10.5772/intechopen.105116",signatures:"Michele Bennett, Ewa J. 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He also obtained an MSc in Molecular and Genetic Medicine, and a Ph.D. in Clinical Immunology and Human Genetics from the University of Sheffield, UK. He also completed a short-term fellowship in Pediatric Clinical Immunology and Bone Marrow Transplantation at Newcastle General Hospital, England. Dr. Rezaei is a Full Professor of Immunology and Vice Dean of International Affairs and Research, at the School of Medicine, Tehran University of Medical Sciences, and the co-founder and head of the Research Center for Immunodeficiencies. He is also the founding president of the Universal Scientific Education and Research Network (USERN). Dr. Rezaei has directed more than 100 research projects and has designed and participated in several international collaborative projects. He is an editor, editorial assistant, or editorial board member of more than forty international journals. He has edited more than 50 international books, presented more than 500 lectures/posters in congresses/meetings, and published more than 1,100 scientific papers in international journals.",institutionString:"Tehran University of Medical Sciences",institution:{name:"Tehran University of Medical Sciences",country:{name:"Iran"}}},{id:"180733",title:"Dr.",name:"Jean",middleName:null,surname:"Engohang-Ndong",slug:"jean-engohang-ndong",fullName:"Jean Engohang-Ndong",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/180733/images/system/180733.png",biography:"Dr. Jean Engohang-Ndong was born and raised in Gabon. After obtaining his Associate Degree of Science at the University of Science and Technology of Masuku, Gabon, he continued his education in France where he obtained his BS, MS, and Ph.D. in Medical Microbiology. He worked as a post-doctoral fellow at the Public Health Research Institute (PHRI), Newark, NJ for four years before accepting a three-year faculty position at Brigham Young University-Hawaii. Dr. Engohang-Ndong is a tenured faculty member with the academic rank of Full Professor at Kent State University, Ohio, where he teaches a wide range of biological science courses and pursues his research in medical and environmental microbiology. Recently, he expanded his research interest to epidemiology and biostatistics of chronic diseases in Gabon.",institutionString:"Kent State University",institution:{name:"Kent State University",country:{name:"United States of America"}}},{id:"188773",title:"Prof.",name:"Emmanuel",middleName:null,surname:"Drouet",slug:"emmanuel-drouet",fullName:"Emmanuel Drouet",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/188773/images/system/188773.png",biography:"Emmanuel Drouet, PharmD, is a Professor of Virology at the Faculty of Pharmacy, the University Grenoble-Alpes, France. As a head scientist at the Institute of Structural Biology in Grenoble, Dr. Drouet’s research investigates persisting viruses in humans (RNA and DNA viruses) and the balance with our host immune system. He focuses on these viruses’ effects on humans (both their impact on pathology and their symbiotic relationships in humans). He has an excellent track record in the herpesvirus field, and his group is engaged in clinical research in the field of Epstein-Barr virus diseases. He is the editor of the online Encyclopedia of Environment and he coordinates the Universal Health Coverage education program for the BioHealth Computing Schools of the European Institute of Science.",institutionString:null,institution:{name:"Grenoble Alpes University",country:{name:"France"}}},{id:"131400",title:"Prof.",name:"Alfonso J.",middleName:null,surname:"Rodriguez-Morales",slug:"alfonso-j.-rodriguez-morales",fullName:"Alfonso J. Rodriguez-Morales",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/131400/images/system/131400.png",biography:"Dr. Rodriguez-Morales is an expert in tropical and emerging diseases, particularly zoonotic and vector-borne diseases (especially arboviral diseases). He is the president of the Travel Medicine Committee of the Pan-American Infectious Diseases Association (API), as well as the president of the Colombian Association of Infectious Diseases (ACIN). He is a member of the Committee on Tropical Medicine, Zoonoses, and Travel Medicine of ACIN. He is a vice-president of the Latin American Society for Travel Medicine (SLAMVI) and a Member of the Council of the International Society for Infectious Diseases (ISID). Since 2014, he has been recognized as a Senior Researcher, at the Ministry of Science of Colombia. He is a professor at the Faculty of Medicine of the Fundacion Universitaria Autonoma de las Americas, in Pereira, Risaralda, Colombia. He is an External Professor, Master in Research on Tropical Medicine and International Health, Universitat de Barcelona, Spain. He is also a professor at the Master in Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima, Peru. In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. He is currently the Editor in Chief of the journal Travel Medicine and Infectious Diseases. His Scopus H index is 47 (Google Scholar H index, 68).",institutionString:"Institución Universitaria Visión de las Américas, Colombia",institution:null},{id:"332819",title:"Dr.",name:"Chukwudi Michael",middleName:"Michael",surname:"Egbuche",slug:"chukwudi-michael-egbuche",fullName:"Chukwudi Michael Egbuche",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/332819/images/14624_n.jpg",biography:"I an Dr. Chukwudi Michael Egbuche. I am a Senior Lecturer in the Department of Parasitology and Entomology, Nnamdi Azikiwe University, Awka.",institutionString:null,institution:{name:"Nnamdi Azikiwe University",country:{name:"Nigeria"}}},{id:"284232",title:"Mr.",name:"Nikunj",middleName:"U",surname:"Tandel",slug:"nikunj-tandel",fullName:"Nikunj Tandel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/284232/images/8275_n.jpg",biography:'Mr. Nikunj Tandel has completed his Master\'s degree in Biotechnology from VIT University, India in the year of 2012. He is having 8 years of research experience especially in the field of malaria epidemiology, immunology, and nanoparticle-based drug delivery system against the infectious diseases, autoimmune disorders and cancer. He has worked for the NIH funded-International Center of Excellence in Malaria Research project "Center for the study of complex malaria in India (CSCMi)" in collaboration with New York University. The preliminary objectives of the study are to understand and develop the evidence-based tools and interventions for the control and prevention of malaria in different sites of the INDIA. Alongside, with the help of next-generation genomics study, the team has studied the antimalarial drug resistance in India. Further, he has extended his research in the development of Humanized mice for the study of liver-stage malaria and identification of molecular marker(s) for the Artemisinin resistance. At present, his research focuses on understanding the role of B cells in the activation of CD8+ T cells in malaria. Received the CSIR-SRF (Senior Research Fellow) award-2018, FIMSA (Federation of Immunological Societies of Asia-Oceania) Travel Bursary award to attend the IUIS-IIS-FIMSA Immunology course-2019',institutionString:"Nirma University",institution:{name:"Nirma University",country:{name:"India"}}},{id:"334383",title:"Ph.D.",name:"Simone",middleName:"Ulrich",surname:"Ulrich Picoli",slug:"simone-ulrich-picoli",fullName:"Simone Ulrich Picoli",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/334383/images/15919_n.jpg",biography:"Graduated in Pharmacy from Universidade Luterana do Brasil (1999), Master in Agricultural and Environmental Microbiology from Federal University of Rio Grande do Sul (2002), Specialization in Clinical Microbiology from Universidade de São Paulo, USP (2007) and PhD in Sciences in Gastroenterology and Hepatology (2012). She is currently an Adjunct Professor at Feevale University in Medicine and Biomedicine courses and a permanent professor of the Academic Master\\'s Degree in Virology. She has experience in the field of Microbiology, with an emphasis on Bacteriology, working mainly on the following topics: bacteriophages, bacterial resistance, clinical microbiology and food microbiology.",institutionString:null,institution:{name:"Universidade Feevale",country:{name:"Brazil"}}},{id:"229220",title:"Dr.",name:"Amjad",middleName:"Islam",surname:"Aqib",slug:"amjad-aqib",fullName:"Amjad Aqib",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229220/images/system/229220.png",biography:"Dr. Amjad Islam Aqib obtained a DVM and MSc (Hons) from University of Agriculture Faisalabad (UAF), Pakistan, and a PhD from the University of Veterinary and Animal Sciences Lahore, Pakistan. Dr. Aqib joined the Department of Clinical Medicine and Surgery at UAF for one year as an assistant professor where he developed a research laboratory designated for pathogenic bacteria. Since 2018, he has been Assistant Professor/Officer in-charge, Department of Medicine, Manager Research Operations and Development-ORIC, and President One Health Club at Cholistan University of Veterinary and Animal Sciences, Bahawalpur, Pakistan. He has nearly 100 publications to his credit. His research interests include epidemiological patterns and molecular analysis of antimicrobial resistance and modulation and vaccine development against animal pathogens of public health concern.",institutionString:"Cholistan University of Veterinary and Animal Sciences",institution:{name:"University of Agriculture Faisalabad",country:{name:"Pakistan"}}},{id:"333753",title:"Dr.",name:"Rais",middleName:null,surname:"Ahmed",slug:"rais-ahmed",fullName:"Rais Ahmed",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/333753/images/20168_n.jpg",biography:null,institutionString:null,institution:{name:"University of Agriculture Faisalabad",country:{name:"Pakistan"}}},{id:"62900",title:"Prof.",name:"Fethi",middleName:null,surname:"Derbel",slug:"fethi-derbel",fullName:"Fethi Derbel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/62900/images/system/62900.jpeg",biography:"Professor Fethi Derbel was born in 1960 in Tunisia. He received his medical degree from the Sousse Faculty of Medicine at Sousse, University of Sousse, Tunisia. He completed his surgical residency in General Surgery at the University Hospital Farhat Hached of Sousse and was a member of the Unit of Liver Transplantation in the University of Rennes, France. He then worked in the Department of Surgery at the Sahloul University Hospital in Sousse. Professor Derbel is presently working at the Clinique les Oliviers, Sousse, Tunisia. His hospital activities are mostly concerned with laparoscopic, colorectal, pancreatic, hepatobiliary, and gastric surgery. He is also very interested in hernia surgery and performs ventral hernia repairs and inguinal hernia repairs. He has been a member of the GREPA and Tunisian Hernia Society (THS). During his residency, he managed patients suffering from diabetic foot, and he was very interested in this pathology. For this reason, he decided to coordinate a book project dealing with the diabetic foot. Professor Derbel has published many articles in journals and collaborates intensively with IntechOpen Access Publisher as an editor.",institutionString:"Clinique les Oliviers",institution:null},{id:"300144",title:"Dr.",name:"Meriem",middleName:null,surname:"Braiki",slug:"meriem-braiki",fullName:"Meriem Braiki",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/300144/images/system/300144.jpg",biography:"Dr. Meriem Braiki is a specialist in pediatric surgeon from Tunisia. She was born in 1985. She received her medical degree from the University of Medicine at Sousse, Tunisia. She achieved her surgical residency training periods in Pediatric Surgery departments at University Hospitals in Monastir, Tunis and France.\r\nShe is currently working at the Pediatric surgery department, Sidi Bouzid Hospital, Tunisia. Her hospital activities are mostly concerned with laparoscopic, parietal, urological and digestive surgery. She has published several articles in diffrent journals.",institutionString:"Sidi Bouzid Regional Hospital",institution:null},{id:"229481",title:"Dr.",name:"Erika M.",middleName:"Martins",surname:"de Carvalho",slug:"erika-m.-de-carvalho",fullName:"Erika M. de Carvalho",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229481/images/6397_n.jpg",biography:null,institutionString:null,institution:{name:"Oswaldo Cruz Foundation",country:{name:"Brazil"}}},{id:"186537",title:"Prof.",name:"Tonay",middleName:null,surname:"Inceboz",slug:"tonay-inceboz",fullName:"Tonay Inceboz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/186537/images/system/186537.jfif",biography:"I was graduated from Ege University of Medical Faculty (Turkey) in 1988 and completed his Med. PhD degree in Medical Parasitology at the same university. I became an Associate Professor in 2008 and Professor in 2014. I am currently working as a Professor at the Department of Medical Parasitology at Dokuz Eylul University, Izmir, Turkey.\n\nI have given many lectures, presentations in different academic meetings. I have more than 60 articles in peer-reviewed journals, 18 book chapters, 1 book editorship.\n\nMy research interests are Echinococcus granulosus, Echinococcus multilocularis (diagnosis, life cycle, in vitro and in vivo cultivation), and Trichomonas vaginalis (diagnosis, PCR, and in vitro cultivation).",institutionString:"Dokuz Eylül University",institution:{name:"Dokuz Eylül University",country:{name:"Turkey"}}},{id:"71812",title:"Prof.",name:"Hanem Fathy",middleName:"Fathy",surname:"Khater",slug:"hanem-fathy-khater",fullName:"Hanem Fathy Khater",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/71812/images/1167_n.jpg",biography:"Prof. Khater is a Professor of Parasitology at Benha University, Egypt. She studied for her doctoral degree, at the Department of Entomology, College of Agriculture, Food and Natural Resources, University of Missouri, Columbia, USA. She has completed her Ph.D. degrees in Parasitology in Egypt, from where she got the award for “the best scientific Ph.D. dissertation”. She worked at the School of Biological Sciences, Bristol, England, the UK in controlling insects of medical and veterinary importance as a grant from Newton Mosharafa, the British Council. Her research is focused on searching of pesticides against mosquitoes, house flies, lice, green bottle fly, camel nasal botfly, soft and hard ticks, mites, and the diamondback moth as well as control of several parasites using safe and natural materials to avoid drug resistances and environmental contamination.",institutionString:null,institution:{name:"Banha University",country:{name:"Egypt"}}},{id:"99780",title:"Prof.",name:"Omolade",middleName:"Olayinka",surname:"Okwa",slug:"omolade-okwa",fullName:"Omolade Okwa",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/99780/images/system/99780.jpg",biography:"Omolade Olayinka Okwa is presently a Professor of Parasitology at Lagos State University, Nigeria. She has a PhD in Parasitology (1997), an MSc in Cellular Parasitology (1992), and a BSc (Hons) Zoology (1990) all from the University of Ibadan, Nigeria. She teaches parasitology at the undergraduate and postgraduate levels. She was a recipient of a Commonwealth fellowship supported by British Council tenable at the Centre for Entomology and Parasitology (CAEP), Keele University, United Kingdom between 2004 and 2005. She was awarded an Honorary Visiting Research Fellow at the same university from 2005 to 2007. \nShe has been an external examiner to the Department of Veterinary Microbiology and Parasitology, University of Ibadan, MSc programme between 2010 and 2012. She is a member of the Nigerian Society of Experimental Biology (NISEB), Parasitology and Public Health Society of Nigeria (PPSN), Science Association of Nigeria (SAN), Zoological Society of Nigeria (ZSN), and is Vice Chairperson of the Organisation of Women in Science (OWSG), LASU chapter. She served as Head of Department of Zoology and Environmental Biology, Lagos State University from 2007 to 2010 and 2014 to 2016. She is a reviewer for several local and international journals such as Unilag Journal of Science, Libyan Journal of Medicine, Journal of Medicine and Medical Sciences, and Annual Research and Review in Science. \nShe has authored 45 scientific research publications in local and international journals, 8 scientific reviews, 4 books, and 3 book chapters, which includes the books “Malaria Parasites” and “Malaria” which are IntechOpen access publications.",institutionString:"Lagos State University",institution:{name:"Lagos State University",country:{name:"Nigeria"}}},{id:"273100",title:"Dr.",name:"Vijay",middleName:null,surname:"Gayam",slug:"vijay-gayam",fullName:"Vijay Gayam",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/273100/images/system/273100.jpeg",biography:"Dr. Vijay Bhaskar Reddy Gayam is currently practicing as an internist at Interfaith Medical Center in Brooklyn, New York, USA. He is also a Clinical Assistant Professor at the SUNY Downstate University Hospital and Adjunct Professor of Medicine at the American University of Antigua. He is a holder of an M.B.B.S. degree bestowed to him by Osmania Medical College and received his M.D. at Interfaith Medical Center. His career goals thus far have heavily focused on direct patient care, medical education, and clinical research. He currently serves in two leadership capacities; Assistant Program Director of Medicine at Interfaith Medical Center and as a Councilor for the American\r\nFederation for Medical Research. As a true academician and researcher, he has more than 50 papers indexed in international peer-reviewed journals. He has also presented numerous papers in multiple national and international scientific conferences. His areas of research interest include general internal medicine, gastroenterology and hepatology. He serves as an editor, editorial board member and reviewer for multiple international journals. His research on Hepatitis C has been very successful and has led to multiple research awards, including the 'Equity in Prevention and Treatment Award” from the New York Department of Health Viral Hepatitis Symposium (2018) and the 'Presidential Poster Award” awarded to him by the American College of Gastroenterology (2018). He was also awarded 'Outstanding Clinician in General Medicine” by Venus International Foundation for his extensive research expertise and services, perform over and above the standard expected in the advancement of healthcare, patient safety and quality of care.",institutionString:"Interfaith Medical Center",institution:{name:"Interfaith Medical Center",country:{name:"United States of America"}}},{id:"93517",title:"Dr.",name:"Clement",middleName:"Adebajo",surname:"Meseko",slug:"clement-meseko",fullName:"Clement Meseko",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/93517/images/system/93517.jpg",biography:"Dr. Clement Meseko obtained DVM and PhD degree in Veterinary Medicine and Virology respectively. He has worked for over 20 years in both private and public sectors including the academia, contributing to knowledge and control of infectious disease. Through the application of epidemiological skill, classical and molecular virological skills, he investigates viruses of economic and public health importance for the mitigation of the negative impact on people, animal and the environment in the context of Onehealth. \r\nDr. Meseko’s field experience on animal and zoonotic diseases and pathogen dynamics at the human-animal interface over the years shaped his carrier in research and scientific inquiries. He has been part of the investigation of Highly Pathogenic Avian Influenza incursions in sub Saharan Africa and monitors swine Influenza (Pandemic influenza Virus) agro-ecology and potential for interspecies transmission. He has authored and reviewed a number of journal articles and book chapters.",institutionString:"National Veterinary Research Institute",institution:{name:"National Veterinary Research Institute",country:{name:"Nigeria"}}},{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",biography:"Professor Dr. Shailendra K. Saxena is a vice dean and professor at King George's Medical University, Lucknow, India. His research interests involve understanding the molecular mechanisms of host defense during human viral infections and developing new predictive, preventive, and therapeutic strategies for them using Japanese encephalitis virus (JEV), HIV, and emerging viruses as a model via stem cell and cell culture technologies. His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with a high number of citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, BBSRC India Partnering Award, and Dr. JC Bose National Award of Department of Biotechnology, Min. of Science and Technology, Govt. of India. Dr. Saxena is a fellow of various international societies/academies including the Royal College of Pathologists, United Kingdom; Royal Society of Medicine, London; Royal Society of Biology, United Kingdom; Royal Society of Chemistry, London; and Academy of Translational Medicine Professionals, Austria. He was named a Global Leader in Science by The Scientist. He is also an international opinion leader/expert in vaccination for Japanese encephalitis by IPIC (UK).",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",country:{name:"India"}}},{id:"94928",title:"Dr.",name:"Takuo",middleName:null,surname:"Mizukami",slug:"takuo-mizukami",fullName:"Takuo Mizukami",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/94928/images/6402_n.jpg",biography:null,institutionString:null,institution:{name:"National Institute of Infectious Diseases",country:{name:"Japan"}}},{id:"233433",title:"Dr.",name:"Yulia",middleName:null,surname:"Desheva",slug:"yulia-desheva",fullName:"Yulia Desheva",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/233433/images/system/233433.png",biography:"Dr. Yulia Desheva is a leading researcher at the Institute of Experimental Medicine, St. Petersburg, Russia. She is a professor in the Stomatology Faculty, St. Petersburg State University. She has expertise in the development and evaluation of a wide range of live mucosal vaccines against influenza and bacterial complications. Her research interests include immunity against influenza and COVID-19 and the development of immunization schemes for high-risk individuals.",institutionString:'Federal State Budgetary Scientific Institution "Institute of Experimental Medicine"',institution:null},{id:"238958",title:"Mr.",name:"Atamjit",middleName:null,surname:"Singh",slug:"atamjit-singh",fullName:"Atamjit Singh",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/238958/images/6575_n.jpg",biography:null,institutionString:null,institution:null},{id:"252058",title:"M.Sc.",name:"Juan",middleName:null,surname:"Sulca",slug:"juan-sulca",fullName:"Juan Sulca",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/252058/images/12834_n.jpg",biography:null,institutionString:null,institution:null},{id:"191392",title:"Dr.",name:"Marimuthu",middleName:null,surname:"Govindarajan",slug:"marimuthu-govindarajan",fullName:"Marimuthu Govindarajan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/191392/images/5828_n.jpg",biography:"Dr. M. Govindarajan completed his BSc degree in Zoology at Government Arts College (Autonomous), Kumbakonam, and MSc, MPhil, and PhD degrees at Annamalai University, Annamalai Nagar, Tamil Nadu, India. He is serving as an assistant professor at the Department of Zoology, Annamalai University. His research interests include isolation, identification, and characterization of biologically active molecules from plants and microbes. He has identified more than 20 pure compounds with high mosquitocidal activity and also conducted high-quality research on photochemistry and nanosynthesis. He has published more than 150 studies in journals with impact factor and 2 books in Lambert Academic Publishing, Germany. He serves as an editorial board member in various national and international scientific journals.",institutionString:null,institution:null},{id:"274660",title:"Dr.",name:"Damodar",middleName:null,surname:"Paudel",slug:"damodar-paudel",fullName:"Damodar Paudel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/274660/images/8176_n.jpg",biography:"I am DrDamodar Paudel,currently working as consultant Physician in Nepal police Hospital.",institutionString:null,institution:null},{id:"241562",title:"Dr.",name:"Melvin",middleName:null,surname:"Sanicas",slug:"melvin-sanicas",fullName:"Melvin Sanicas",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241562/images/6699_n.jpg",biography:null,institutionString:null,institution:null},{id:"117248",title:"Dr.",name:"Andrew",middleName:null,surname:"Macnab",slug:"andrew-macnab",fullName:"Andrew Macnab",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of British Columbia",country:{name:"Canada"}}},{id:"322007",title:"Dr.",name:"Maria Elizbeth",middleName:null,surname:"Alvarez-Sánchez",slug:"maria-elizbeth-alvarez-sanchez",fullName:"Maria Elizbeth Alvarez-Sánchez",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Universidad Autónoma de la Ciudad de México",country:{name:"Mexico"}}},{id:"337443",title:"Dr.",name:"Juan",middleName:null,surname:"A. Gonzalez-Sanchez",slug:"juan-a.-gonzalez-sanchez",fullName:"Juan A. Gonzalez-Sanchez",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Puerto Rico System",country:{name:"United States of America"}}},{id:"337446",title:"Dr.",name:"Maria",middleName:null,surname:"Zavala-Colon",slug:"maria-zavala-colon",fullName:"Maria Zavala-Colon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Puerto Rico, Medical Sciences Campus",country:{name:"United States of America"}}}]}},subseries:{item:{id:"8",type:"subseries",title:"Bioinspired Technology and Biomechanics",keywords:"Bioinspired Systems, Biomechanics, Assistive Technology, Rehabilitation",scope:'Bioinspired technologies take advantage of understanding the actual biological system to provide solutions to problems in several areas. Recently, bioinspired systems have been successfully employing biomechanics to develop and improve assistive technology and rehabilitation devices. The research topic "Bioinspired Technology and Biomechanics" welcomes studies reporting recent advances in bioinspired technologies that contribute to individuals\' health, inclusion, and rehabilitation. Possible contributions can address (but are not limited to) the following research topics: Bioinspired design and control of exoskeletons, orthoses, and prostheses; Experimental evaluation of the effect of assistive devices (e.g., influence on gait, balance, and neuromuscular system); Bioinspired technologies for rehabilitation, including clinical studies reporting evaluations; Application of neuromuscular and biomechanical models to the development of bioinspired technology.',coverUrl:"https://cdn.intechopen.com/series_topics/covers/8.jpg",hasOnlineFirst:!0,hasPublishedBooks:!0,annualVolume:11404,editor:{id:"144937",title:"Prof.",name:"Adriano",middleName:"De Oliveira",surname:"Andrade",slug:"adriano-andrade",fullName:"Adriano Andrade",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRC8QQAW/Profile_Picture_1625219101815",biography:"Dr. Adriano de Oliveira Andrade graduated in Electrical Engineering at the Federal University of Goiás (Brazil) in 1997. He received his MSc and PhD in Biomedical Engineering respectively from the Federal University of Uberlândia (UFU, Brazil) in 2000 and from the University of Reading (UK) in 2005. He completed a one-year Post-Doctoral Fellowship awarded by the DFAIT (Foreign Affairs and International Trade Canada) at the Institute of Biomedical Engineering of the University of New Brunswick (Canada) in 2010. Currently, he is Professor in the Faculty of Electrical Engineering (UFU). He has authored and co-authored more than 200 peer-reviewed publications in Biomedical Engineering. He has been a researcher of The National Council for Scientific and Technological Development (CNPq-Brazil) since 2009. He has served as an ad-hoc consultant for CNPq, CAPES (Coordination for the Improvement of Higher Education Personnel), FINEP (Brazilian Innovation Agency), and other funding bodies on several occasions. He was the Secretary of the Brazilian Society of Biomedical Engineering (SBEB) from 2015 to 2016, President of SBEB (2017-2018) and Vice-President of SBEB (2019-2020). He was the head of the undergraduate program in Biomedical Engineering of the Federal University of Uberlândia (2015 - June/2019) and the head of the Centre for Innovation and Technology Assessment in Health (NIATS/UFU) since 2010. He is the head of the Postgraduate Program in Biomedical Engineering (UFU, July/2019 - to date). He was the secretary of the Parkinson's Disease Association of Uberlândia (2018-2019). Dr. Andrade's primary area of research is focused towards getting information from the neuromuscular system to understand its strategies of organization, adaptation and controlling in the context of motor neuron diseases. 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