Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\n
We wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\n
Throughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\n
We wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
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Likewise, humans invariably engage in host-microbial interactions that could induce short-term or long-term effects. Some of these long-term crossover interactions have allowed successful colonization of microbes within or on the human body, collectively known as the human microbiome or human microbiota. The human microbiome is identified as playing a key role in various physiological processes like digestion, immunity, defense, growth, and development. Any dysbiosis in the human microbiome structure could induce the onset of various metabolic or physiological disorders. Cumulatively, the human microbiome is considered as a virtual human organ that is essential for host survival. Additionally, short-term biological interactions of the host and microbes have exposed microbes to the human cellular system. This exposure could have allowed the microbes to invade human cells for their growth and reproduction-induced onset of various infectious diseases. This book incorporates a number of studies highlighting the role of microbes in human health and diseases.",isbn:"978-1-83880-234-9",printIsbn:"978-1-83880-233-2",pdfIsbn:"978-1-83880-718-4",doi:"10.5772/intechopen.76595",price:100,priceEur:109,priceUsd:129,slug:"role-of-microbes-in-human-health-and-diseases",numberOfPages:82,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"ad71073664357a1e5e73eb81f08be582",bookSignature:"Nar Singh Chauhan",publishedDate:"June 5th 2019",coverURL:"https://cdn.intechopen.com/books/images_new/7534.jpg",numberOfDownloads:4846,numberOfWosCitations:5,numberOfCrossrefCitations:8,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:11,numberOfDimensionsCitationsByBook:0,hasAltmetrics:0,numberOfTotalCitations:24,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 9th 2018",dateEndSecondStepPublish:"June 1st 2018",dateEndThirdStepPublish:"July 31st 2018",dateEndFourthStepPublish:"October 19th 2018",dateEndFifthStepPublish:"December 18th 2018",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"216883",title:"Prof.",name:"Nar Singh",middleName:null,surname:"Chauhan",slug:"nar-singh-chauhan",fullName:"Nar Singh Chauhan",profilePictureURL:"https://mts.intechopen.com/storage/users/216883/images/system/216883.jpeg",biography:"Dr. Nar Singh Chauhan is currently a teaching faculty in the Department of Biochemistry, Maharishi Dayanand University, Rohtak, India. His doctor of philosophy degree, with thesis research on \\'Arsenic detoxification mechanisms in unculturable bacteria using function metagenomics\\' at the CSIR-Institute of Genomics and Integrative Biology, was granted by Savitribai Phule Pune University, Pune, India. His current research focus is on the metagenomic characterization of diverse microbiome for their native community structure, physiological functions, survival strategies under abiotic stress, colonization factors, and host-microbial interactions. In this direction, he has established an association of the human microbiome with the onset of celiac disease and chronic obstructive pulmonary disease. Dr. Chauhan is the author of a number of peer-reviewed research publications in reputed international journals (Genome Biology & Evolution, Scientific Reports, Frontiers in Microbiology, etc.) and has also been awarded many research patents.",institutionString:"Maharishi Dayanand University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"1",institution:{name:"Maharshi Dayanand University",institutionURL:null,country:{name:"India"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"895",title:"Medical Microbiology",slug:"medical-microbiology"}],chapters:[{id:"66113",title:"Introductory Chapter: Human and Microbes in Health and Diseases",doi:"10.5772/intechopen.85217",slug:"introductory-chapter-human-and-microbes-in-health-and-diseases",totalDownloads:950,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Nar Singh Chauhan",downloadPdfUrl:"/chapter/pdf-download/66113",previewPdfUrl:"/chapter/pdf-preview/66113",authors:[{id:"216883",title:"Prof.",name:"Nar Singh",surname:"Chauhan",slug:"nar-singh-chauhan",fullName:"Nar Singh Chauhan"}],corrections:null},{id:"64638",title:"The Therapeutic Potential of the “Yin-Yang” Garden in Our Gut",doi:"10.5772/intechopen.80881",slug:"the-therapeutic-potential-of-the-yin-yang-garden-in-our-gut",totalDownloads:973,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"The gut microbiota is made up of trillion microorganisms comprising bacteria, archaea, and eukaryota living in an intimate relationship with the host. This is a highly diverse microbial community and is essentially an open ecosystem despite being deeply embedded in the human body. The gut microbiome is continually exposed to allochthonous bacteria that primarily originates from food intake. Comprising more than 1000 bacterial species, the gut microbiota endows so many different functions—so many that can be considered as an endocrine organ of its own. In this book chapter, we summarize the importance of gut microbiota in the development and maintenance of a healthy human body. We first describe how the gut microbiota is formed during the birth of a human baby and how a healthy microflora is established overtime. We also discuss how important it is to maintain the microbiota in its homeostatic condition. A discussion is also given on how alterations in the microbiota are characteristic of many diseased conditions. Recent investigations report that reestablishing a healthy microbiota in a diseased individual using fecal microbial transplant can be used as a therapeutic approach in curing many diseases. We conclude this chapter with a detailed discussion on fecal microbial transplants.",signatures:"Shabarinath Srikumar and Séamus Fanning",downloadPdfUrl:"/chapter/pdf-download/64638",previewPdfUrl:"/chapter/pdf-preview/64638",authors:[null],corrections:null},{id:"63743",title:"The Role of Leather Microbes in Human Health",doi:"10.5772/intechopen.81125",slug:"the-role-of-leather-microbes-in-human-health",totalDownloads:1350,totalCrossrefCites:4,totalDimensionsCites:5,hasAltmetrics:0,abstract:"Leather tanned from raw hides and skins have been used to cover and protect the human body since early man. The skin of an animal carries thousands of microbes. Some are beneficial and protect the animal while others are pathogenic and cause diseases. Some microbes have no defined roles in animals. These microbes end up in the human body through contact with the animal skin. In recent years, the human body has been studied as an ecosystem where trillions of microorganisms live as a community called microbiome. Humans need beneficial microbes like Bacillus subtilis on the skin surface to stay healthy. Many microbes need the human body to survive. Not many studies have looked into the close link between animal leather and the human microbiome. The assumption is that conventional leather processes inhibit the pathogens on skins from carrying any risk of microbial hazard to the human body. This chapter identifies endemic microbes of “animal skin microbiome” that withstand extreme acidity and alkalinity of leather manufacture and their transmission to humans. Some cause allergic reactions, skin lesion, infections or death to tannery employees with weakened immune systems. This promotes the need to look at leather product microbiome impact on human health.",signatures:"Richard O. 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Despite extensive research, screening, education, and continuous efforts to try to eradicate and control the infection, tuberculosis is still one of the most prevalent infections throughout the world. Even the cases of extra pulmonary dissemination are seen to have increased. Extra pulmonary tuberculous dissemination has a very variable presentation that depends on the organ involved. The diagnosis is difficult and many times a long time passes between diagnosis and initial presentation. In this chapter, we will review how tuberculosis infection presents when the bacilli invades any tissue outside the pulmonary parenchyma, what the literature recommends for the proper work up and diagnosis, and general treatment for major organ system infection.",signatures:"Onix J. 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\r\n\tThe book explains and educates the reader regarding normal sexual function, sexual dysfunction, and sexual dysfunction disorders both in males and females. The objective of the book will be to highlight the importance of sex education and explain normal human sexuality. With the growing number of males and females reporting sexual dysfunction the need for a ready reckoner of sexual dysfunction may be relevant and necessary.
\r\n
\r\n\tThe book will have chapters on normal human sexuality, sexual health, Sexual dysfunction in the male and female, sexual dysfunction disorders related to libido, orgasm, ejaculation, erection, and genetic or hormonal or developmental or sexuo-erotic orientation defects.
\r\n
\r\n\tThe book will also highlight the importance of sex counselors and therapists. \r\n\tThere will be a chapter on secondary causes of sexual dysfunction disorders related to diabetes, cardiovascular disease, and obesity. A chapter on remedial measures to enhance sexual activity and maintain human relationships will be discussed. As there is a growing number of cancer survivors a chapter on cancer-related sexual dysfunction will be welcomed for including it.
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Dr. Sheriff has authored five books including a textbook on medical biochemistry with additional interest in human sexology. He has done extensive research in andrology, sex education, and counseling.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"167875",title:"Dr.",name:"Dhastagir Sultan",middleName:null,surname:"Sheriff",slug:"dhastagir-sultan-sheriff",fullName:"Dhastagir Sultan Sheriff",profilePictureURL:"https://mts.intechopen.com/storage/users/167875/images/system/167875.jpg",biography:"Dhastagir Sultan Sheriff is a life member of the European Society for Human Reproduction and Early Human Development, Association of Physiologists and Pharmacologists of India, member of the National Academy of Medical Sciences, New Delhi, and resource person for UNESCO for Medical and Bioethics. Dr. Sheriff has authored five books including a textbook on medical biochemistry with additional interest in human sexology. He had editorials written in the British Journal of Sexology, Journal of Royal Society of Medicine, Postgraduate Medicine, and Scientist. He was a former Rotarian, Citizen Ambassador, and was selected for the Ford Foundation Fellowship.",institutionString:"University of Benghazi",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"4",totalChapterViews:"0",totalEditedBooks:"2",institution:{name:"University of Benghazi",institutionURL:null,country:{name:"Libya"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"16",title:"Medicine",slug:"medicine"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:null},relatedBooks:[{type:"book",id:"6934",title:"Psycho-Social Aspects of Human Sexuality and Ethics",subtitle:null,isOpenForSubmission:!1,hash:"44731b106aa0d1ab5c64a7394483c7d5",slug:"psycho-social-aspects-of-human-sexuality-and-ethics",bookSignature:"Dhastagir Sultan Sheriff",coverURL:"https://cdn.intechopen.com/books/images_new/6934.jpg",editedByType:"Edited by",editors:[{id:"167875",title:"Dr.",name:"Dhastagir Sultan",surname:"Sheriff",slug:"dhastagir-sultan-sheriff",fullName:"Dhastagir Sultan Sheriff"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7163",title:"Infertility, Assisted Reproductive Technologies and Hormone Assays",subtitle:null,isOpenForSubmission:!1,hash:"6db6e4ccb7088f17f819121f7eb6424d",slug:"infertility-assisted-reproductive-technologies-and-hormone-assays",bookSignature:"Dhastagir Sultan Sheriff",coverURL:"https://cdn.intechopen.com/books/images_new/7163.jpg",editedByType:"Edited by",editors:[{id:"167875",title:"Dr.",name:"Dhastagir Sultan",surname:"Sheriff",slug:"dhastagir-sultan-sheriff",fullName:"Dhastagir Sultan Sheriff"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"6550",title:"Cohort Studies in Health Sciences",subtitle:null,isOpenForSubmission:!1,hash:"01df5aba4fff1a84b37a2fdafa809660",slug:"cohort-studies-in-health-sciences",bookSignature:"R. 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1. Introduction
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The raw materials for ethanol production can be classified based on the type of carbohydrates they contain, i.e., sugar, starch, or cellulose by fermentation. Sucrose, glucose, or fructose for ethanol production for simultaneous saccharification and fermentation process are derived from any of the two classes of raw materials namely, starchy and cellulosic materials [1].
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Ethanol production from simple sugars derived from sugarcane molasses, beet sugar is commercially well established. The yeast or bacterial cells can metabolize the simple sugars directly without the necessity of pretreatment step. The starch and cellulose polymers must be hydrolyzed to simple sugars before they can be fermented by yeast or bacteria [2, 3, 4]. Although cellulosic materials are available in plenty than starchy and sugar-containing raw materials, the process of conversion of it to fermentable sugars is often a very expensive pretreatment step using enzymes [5, 6]. Starch-containing substrates must be hydrolyzed by enzymes or acid to simple sugars and can be used for the production of ethanol. The carbon, hydrogen, and oxygen are normally provided by a complex carbohydrate source such as cane or beet molasses in industries. Vitamins and minerals may be added as additional nutrients. The sources of nitrogen are generally ammonium sulfate and urea, but they require biotin for effective utilization [7]. Other cheaper raw materials such as spent sulfite liquors, and whey also are sources of fermentable sugars. The sugar concentration in the above-mentioned industrial effluents is very much lower than in usual starchy and cellulosic substrates. Spent sulfite liquors contain 20–30 gL−1 of hexose while whey contains 40–50 gL−1 of lactose. Cellulosic raw materials on acid or enzyme hydrolysis give a maximum sugar concentration of around 40–60 gL−1 [8]. Ammonium or potassium phosphate provides the potassium and phosphorous required for growth of yeast. The magnesium sulfate, chloride and biotin can be provided as additional supplements [8, 9]. In a study by Qureshi and Manderson [10] four renewable agricultural resources were considered, namely wood, molasses, whey permeate, and starch. He reported that molasses sugars were cheaper than sugars derived from the other raw materials.
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The simultaneous saccharification and fermentation (SSF) process was conceptualized in the late 1970s by Wright et al., Takagi et al., and Blotkamp et al. [11, 12]. This process employs fermentative microorganisms in combination with amylolytic enzymes in a single fermenter. Sugar accumulation in the fermenter is minimized in this process that favors increased hydrolysis and ethanol yield when compared to separate hydrolysis and fermentation. The main advantage process over separate hydrolysis and fermentation is that high substrate concentration, long residence time and high enzyme concentration can be used in same reactor. Optimization of process variables namely substrate concentration, enzyme concentration, pH and temperature are important to maximize the ethanol yield.
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Starches that can be used for ethanol production by fermentation, includes grains, cassava (manioc, tapioca), sweet potato, sweet sorghum, and Jerusalem artichoke, corn, wheat, rice, potatoes, and sugar beets are the mostly used feedstocks in Europe and North America, sugarcane, molasses, cassava, babassu nuts, and sweet potatoes appear to provide the most promising feed for ethanol for countries such as Brazil.
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1.1 Substrates for ethanol production using SSF process
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1.1.1 Corn
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According to Miranowski [13], corn is the most viable feedstock for ethanol production. The main factors are high yield, broad geographical cultivation range and available at cheaper cost. Annual production of corn biomass is about 300 × 106 tons (dry basis), about 40% of which are residues which is suitable for ethanol production. Extremely efficient systems are already in place for corn production from seed at very low cost. In evaluating the potential of corn (and any other food crop) for the production of energy, the moral issue of food vs. fuel must be considered. Approximately 66% of the grain produced consumed as food. The proportion of grain that are unsuitable for food production is about 5% of the annual grain production and it is suitable for alcohol production. In many countries corn is used as a raw material. The suitability of corn for ethanol production using SSF process depends on the contents of starch. A high content of horny endosperm leads to problems in ethanol production using SSF processes. The starch isolated from horny endosperm is difficult to gelatinize, and has low swelling, swelling value, and α-amylase digestibility is very less when compared to floury endosperm. Pre-treatment of horny endosperm is difficult and requires more enzyme concentration.
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1.1.2 Wheat
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Wheat is mostly used in distilleries, because it yields a mild and smooth distillate. The starch content of wheat is usually about 60%. Wheat containing more than 13% raw protein causes problems in fermentation. Wheat mashes with high protein forms foam during fermentation and the use of antifoam agent (e.g., silicone anti-foam) is necessary. Table 1 shows the composition of key components in wheat grain and Table 2 shows the average composition of wheat.
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Components
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Protein
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Ash
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Carbohydrates
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Fat
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Seed coat
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7–12
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5–6
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80–85
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1.0
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Aleurone layer
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24–26
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10–12
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52–58
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1.8
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Endosperm
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4–6
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0.4–0.6
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80–84
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8–10
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Table 1.
Composition of wheat components in % dry solids.
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Components
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Composition in g/100 g of flour
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water
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13.2
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Crude protein
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11.7
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Crude fat
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2.0
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Starch
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69.3
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Crude fiber
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2.0
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Ash
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1.8
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Table 2.
Average composition of wheat.
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1.1.3 Cassava
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Cassava (Manihot esculenta), is cultivated widely in many tropical countries and used as food in African countries. Brazil, Indonesia, and Zaire are the major producers in the world. Cassava roots have 20–35 wt.% starch and 1–2 wt.% protein [14]. The composition of cassava is shown in Table 3. At a productivity level of 30 tons ha−1 of Cassava with 25 wt.% starch, 70% conversion to ethanol has been reported [15].
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Components
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Composition in g/100 g of flour
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Reducing sugars
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0.1
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protein
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2.1
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Fat
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0.2
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Starch
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80
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Crude fiber
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2.0
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Ash
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0.9
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Total sugars
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3.6
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Table 3.
Average composition of cassava.
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1.1.4 Sweet potato
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Sweet potato (Ipomoea batatas) represents a fuel crop of significant potential [16] and has a starch content of 64.4% on a dry basis. SSF process is used to get a maximum ethanol yield from sweet potato tubers and stalk using combination of enzymes and microbes in a single reactor.
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1.1.5 Sweet sorghum
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Sweet sorghum (Sorghum saccharatum) is a valuable energy crop containing both starches and sugars. More than 17,000 types of sorghum are known to exist in world. Ethanol production of 3500 L ha−1 can be obtained from the fermentable sugars alone. An additional 1600–1900 L is derived from stalk fibers using SSF process. With hybrid strains, the yield may be increased 30% above present levels [17].
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The adaptability to the majority of the world’s agricultural regions, its resistance to draught, and its efficient utilization of nutrients make it as a viable raw material for ethanol production using SSF process [18].
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1.1.6 Barley
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Barley is mostly used as malting grain in ethanol production. It is also an interesting raw material in ethanol production using SSF process. The disadvantages of barley as a feed stock in distilleries are the husks surrounding the kernels and the content of glucans that leads to high viscosities in mashes. Therefore, special pretreatment step before SSF process is necessary in preparing mashes from barley. Table 4 shows an average analysis of barley. Barley with 55% starch is also a major feedstock for beer production. Potable distillates produced from barley are smooth, but they have a more powerful grain taste.
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Components
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Composition in g/100 g of flour
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Protein
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11.8
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Fat
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2.3
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Starch
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63.2
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Crude fiber
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5.3
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Ash
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2.8
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Table 4.
Average composition of barley.
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1.2 Pre-treatment of substrates used in SSF process
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1.2.1 Enzymatic liquefaction of starch in SSF process
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It is essential to liquefy the starch as a pretreatment step before using the substrate SSF process. Liquefying enzymes are virtually all α-amylases (α-l, 4-glucane 4-glucanohydroase, E.C. 3.2.1.1) that split α-1,4 bonds in amylose and amylopectin that are basically derived from plants, bacteria and fungi. Liquefying enzymes may be classified as endo-acting enzymes and exo-acting enzymes. The α-1,6 glycosidic bonds are not hydrolyzed by alpha amylase since they are endo-acting enzymes. The enzyme activity of α-amylase is majorly dependent on the type of microorganisms or plants from which it is synthesized. α-Amylases rapidly decrease the viscosity due to its endo-acting nature and is used in simultaneous saccharification and fermentation process for pretreatment.
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1.2.2 Treatment with α-amylase of Bacillus licheniformis (TBA)
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The optimum conditions of pH for enzyme hydrolysis of starch using TBA is between 6 and 7 and the optimum temperature is in the range of 85–90°C [18]. The hydrolysis of corn starch with TBA, mainly produces maltotriose, maltopentaose, and maltohexaose. TBA enzyme is highly unstable and degrade at temperatures above 65°C in absence of Calcium ions and substrate. Senn [19] established an optimum pH range from 6.2 to 7.5, and pH values below 5.6 lead to a rapid decrease in enzyme activity. Enzyme activity is influenced greatly by the proportion of horny to floury endosperm present in the corn feed stock. Liquefaction of corn mashes using TBA yields mainly starch fragments with a maltotriose as well as maltose and glucose.
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1.2.3 Treatment with α-amylase of Bacillus subtilis (BAA)
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BAA synthesized using Bacillus subtilis is found to have an optimum pH value between 5.3 and 6.4, and an optimum temperature of 50°C [20]. Fogarty and Kelly [21] reported that with starch as substrate BAA produces limit dextrins. BAA enzyme produces limit dextrins that cannot be hydrolyzed using glucoamylase obtained from mold A. niger and starch degradation often remains incomplete BAA is unsuitable for SSF process which mainly uses glucoamylase enzyme. The BAA enzyme activity reaches a maximum for a pH between 5.8 and 6.8 and a temperature of 55–60°C, when corn is used a substrate [22, 23].
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1.2.4 Treatment with α-amylase expressed by Bacillus licheniformis (BAB)
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BAB, a new technical enzyme produced with a genetically engineered strain of B. licheniformis (Liquozyme, NOVO Nordisk, Denmark) [24] for its tolerant even at low pH values down to 4.8–5. But BAB is used to liquefy cereal mashes and is very effective. This enzyme express it activity up to 90°C and is used in pretreatment step for liquefying substrate in SSF process.
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1.2.5 Treatment with fungal α-amylase of Aspergillus oryzae (FAA)
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Fogarty and Kelly [21], reported that FAA contains only a few amino acid residues and is highly stable in acidic pH. The enzyme activity is maximum in a pH between 5.5–5.9 and at a temperature of 40°C. FAA can hydrolyze starch granules at a pH of 7.2 and temperature of 37°C and only 40% of starch was dextrinized in pretreatment step after 60 hour. The optimum pH ranges from 5.0 to 6.0 while corn is used as a substrate. The optimum temperature is reported between 50 and 57°C. FAA reduces the viscosity which is desirable for saccharification and is more effective in producing dextrins.
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1.2.6 Enzymes for starch saccharification in SSF process
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Glucoamylase (EC 3.2.1.3) enzyme, hydrolyzes α-1,4, α-1,6, and α-1,3 glycosidic linkages of starch molecules. Hydrolysis rate of starch is based upon the size and structure of the molecules [21].
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1.2.7 Treatment with glucoamylase of Aspergillus niger (GAA)
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Glucoamylases from Aspergillus niger, have been characterized by Fogarty and Kelly, 1979 The suitable pH for GAA is found to be in the range of 4.5–5.0 and an optimum temperature of GAA is 60°C. When corn mash was used as substrate, the optimum range of pH value reaches from 5.0 down to 3.4 [22, 25]. Thus, GAA is stable during fermentation. GAA was stable up to 70°C with an optimum at 65°C.
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1.2.8 Treatment with glucoamylase of Rhizopus sp. (GAR)
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GAR enzyme shows a maximum activity at temperature of 40°C and a pH value of 4.5–6.3 [21]. Glucoamylase 1 exhibits maximum debranching activity and totally degrades starchy materials to fermentable sugars in SSF process. Saccharification using GAR was carried out in a temperature range of 55–60°C and a pH of 4.4–5.4 [23]; GAR was also stable in acidic pH while corn is used as substrate.
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1.2.9 Enzyme combinations in saccharification process
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Single enzymes are rarely used for saccharification process. Enzymes may be combined successfully in mashing processes and fermentation. As reported by [24], different combinations of technical enzymes may exhibit either complementary or inhibitory effects. “OPTIMALT” is an industrially used enzyme combination off GAR GAA and FAA [28]. The concentration of fermentable sugars in mashes rises rapidly when enzyme combination is used in SSF process.
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1.3 Microorganisms for ethanol production using SSF process
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The yeast species mainly S. cerevisiae, S. uvarum, Schizosaccharomyces pombe, Kluyveromyces marxianus and Candida utilis are used for industrial alcohol production using SSF process [29]. Saccharomyces cerevisiae is the common microbe used for industrial ethanol production owing to its use for long time food industry. Kluyveromyces marxianus yeast grows well even up to 40°C [30]. This species is mainly used for production of alcohol from cellulosic, starch and saccharine substrates using SSF process. The activity of the yeast is very high at high temperatures and results in high ethanol production in less fermentation time.
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Yeasts can utilize a variety of substrates. In general, they are able to grow and efficiently ferment in a pH between 3.5–6.0 and temperature in the range of 28–35°C. The overall productivity of the fermentation was less due to ethanol product inhibition and substrate inhibition [26]. This drawback of substrate inhibition can be overcome in SSF process where simultaneous utilization of substrate by microbes and synthesis of glucose by enzymes at faster rates.
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Yeast, under anaerobic conditions, converts glucose to ethanol by the Embden-Meyerhof pathway and is shown in Figure 1. 2 mol of ethanol, CO2, and ATP per mol of glucose fermented were synthesized in this pathway with a yield coefficient of 0.51 g alcohol [27].
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Figure 1.
EMP pathway for glucose to ethanol.
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1.4 Simultaneous saccharification and fermentation (SSF) process and key variables
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Simultaneous saccharification and fermentation SSF is a process in which sugars from the liquefied substrates are saccharified and fermented in a single fermenter using enzyme and yeast. The drawback of SSF of cellulose using enzymes is feedback inhibition by the product. Separate Hydrolysis and Fermentation uses different temperature for hydrolysis and fermentation but the main disadvantage is the end product inhibition of glucose that accumulates in the hydrolysis step [31]. SSF process overcomes this difficulty of accumulation of sugars inside the fermenter by simultaneous fermentation of sugar by suitable yeast [32, 34]. The flow sheet of the SSF process using corn starch is shown in Figure 2.
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Figure 2.
Flow sheet for simultaneous saccharification and fermentation.
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Verma et al. [35] studied the conversion of starch to ethanol in a SSF process using co culture of amylolytic yeast and S. cerevisiae. The optimum temperature was reported as 30°C. Banerjee et al. [36] reported an optimum temperature of 37°C for S. diastaticus using soluble starch as a substrate. Saha and Ueda et al. [37] reported that 38°C gave a maximum ethanol yield by S. cerevisiae in a fermentation of glucoamylase treated starch. Bandaru et al. [38] had optimized the operating variables of fermentation for the production of ethanol using sago starch using co-immobilized glucoamylase and Z. mobilis and he reported an optimum temperature of 32.4°C and desirable pH at 4.93.
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Amutha et al. [39] studied the ethanol from pretreated cassava starch by co-immobilized cells of Z. mobilis and S. diastaticus in batch and continuous fermentation. Pretreatment of substrate was carried out using BAB at 75°C for 1 hour. The batch fermentation was carried out at a temperature of 30°C and at an initial pH of 6.0. 37.5 gL−1 of ethanol production was reported using free cells in mixed culture fermentation and 46.7 gL−1 using co-immobilized cells in batch fermentation.
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Neves et al. [40] studied the ethanol production from wheat flour by SSF process. SSF process was conducted at 5°C and a controlled pH of 4.5 using glucoamylase 200 U/g of flour and S. cerevisiae in a batch fermenter. The fermentation time was 72 hour. 38.76 gL−1 of ethanol production was reported.
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Davis et al. [41] studied the production of ethanol using waste starch stream by SSF process using Z. mobilis and S. cerevisiae. The operating conditions for SSF process were a controlled pH of 5.0 and temperature at 30°C. A maximum ethanol production of 39 gL−1 was reported.
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Nakumara et al 1997 [42] studied the production from raw wheat flour using glucoamylase and S. cerevisiae. The pre-treatment of starch was carried out by adding 0.02 g of Termamyl/kg of starch and at a temperature of 95°C for 2 hour. Ethanol concentration of 67 gL−1 was reported using SSF process at a controlled temperature of 35°C and controlled pH of 4.5. The alcoholic fermentation of whey using K. marxianus yeast immobilized on delignified cellulose material. The optimum pH value was reported as 4.5. The optimum temperature for fermentation was reported as 37°C.
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Pavla et al. [43] had studied the SSF process using wheat bran as substrate. Wheat bran was pre-treated with FAA followed by saccharification using glucoamylase. Pre-treatment temperature for FAA was 55°C and pH 6.0 for 4 hour and saccharification at 55°C for 48 hour to ensure the total hydrolysis of starch. The fermentation of filtrates resulting from pre-treatment using S. cerevisiae was carried out with initial pH of 5.5 and 30°C. The ethanol yield reported was 0.41 g/g of glucose fermented.
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Reddy et al. [44] had studied the direct fermentation of potato starch to ethanol by co culture of A. niger and S. cerevisiae. The optimum pH for maximum ethanol production was reported as 5 to 6. The temperature of the fermentation medium was controlled at 30°C.
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SSF process using maize starch as substrate by glucoamylase and S. cerevisiae at 35°C with the initial pH 5.5 was carried out. A maximum ethanol productivity of 1.23 gL−1h−1 was reported.
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Kadam and Newman [33] evaluated several industrially available nutrient sources for their effectiveness in the SSF of pretreated starch with Saccharomyces cerevisiae D5A. Ethanol production was found to increase for a combination of 0.3% CSL and 2.5 mM MgSO4.7H2O Hence, it is more industrially relevant medium than the medium containing rich nutrients.
\n
The pH and temperature of the medium plays a vital role in all types of fermentation processes. As temperature increases the rate of biological reactions also increases upto a certain temperature and further increase in temperature may result in lesser product formation. That temperature was always chosen as the optimum temperature for the fermentation. This characteristic is similar to chemical reaction. This increase in rate of biological reaction may be due to more production of required enzymes at the faster rate. The ethanol producing microorganisms such as S. cerevisiae, K. marxianus, S. diastaticus prefer to grow best at 30°C [47]. Most of the microorganisms prefer to grow at neutral pH and hence we have more contamination at that pH. Ethanol producing yeast prefer to grow and metabolize in the pH 5–6 and a controlled pH environment is always preferred for maximum ethanol production. Very low pH is also not preferred as the rate of growth was very less. Hence an optimum pH of 5–6 must be maintained in the medium. In addition to that the medium should have optimum mineral concentration which provides more biomass and in turn more ethanol yield Table 5.
Production of ethanol from starch sources using SSF process.
\n
\n
\n
\n
2. Conclusion
\n
SSF process is found to be a promising technology for industrial ethanol production from cheaper substrates like cellulose and starchy substrates. The success of the SSF process depends mainly on pre-treatment step using suitable enzymes for cellulose hydrolysis and starch hydrolysis. Starchy substrates can be easily liquefied using low cost commercially available alpha amylase enzymes at optimum conditions and can be utilized in SSF process. But the pre-treatment steps in cellulosic materials are more challenging because of the presence of lignin and hemicelluloses. A suitable pre-treatment steps to separate cellulose from naturally occurring lignin and hemicelluloses substrates involves energy intensive process. Furthermore, presence of inhibitory end products from hemicelluloses may hinder the SSF process. SSF process using starch substrates are more promising and also commercial industrial production is feasible in many countries. The advantages of the process are reduction in investment by having single fermenter for both saccharification and fermentation. The feedback inhibition of sugars is greatly reduced. The fermentation time is very less in SSF process.
\n
\n\n',keywords:"simultaneous saccharification and fermentation, pretreatment, enzymes, ethanol, yeast pH and temperature",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/67972.pdf",chapterXML:"https://mts.intechopen.com/source/xml/67972.xml",downloadPdfUrl:"/chapter/pdf-download/67972",previewPdfUrl:"/chapter/pdf-preview/67972",totalDownloads:1119,totalViews:0,totalCrossrefCites:5,totalDimensionsCites:8,totalAltmetricsMentions:0,introChapter:null,impactScore:2,impactScorePercentile:79,impactScoreQuartile:4,hasAltmetrics:0,dateSubmitted:"January 22nd 2019",dateReviewed:"April 23rd 2019",datePrePublished:"July 8th 2019",datePublished:"March 11th 2020",dateFinished:"July 4th 2019",readingETA:"0",abstract:"Ethanol production from agricultural products mainly corn, wheat, sweat potato and residue are gaining importance and requires an industrially viable novel technology namely simultaneous saccharification and fermentation process. This process has an advantage of carrying out saccharification using enzyme and fermentation using yeast in a single fermenter. The investment cost for industrial ethanol production using cheap agricultural residues can be well achieved using SSF process. The success of SSF process greatly depends upon the pretreatment methods using different enzymes to break the complex carbohydrates to simple sugars. Optimization of key process variables is essential to maximize the ethanol yield from suitable substrates. The key process variables affecting the SSF process are pH, temperature, fermentation time, enzyme concentration and substrate concentration. The medium components are to be screened for effective nitrogen, potassium and phosphorous sources to increase the ethanol yield.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/67972",risUrl:"/chapter/ris/67972",book:{id:"7828",slug:"alcohol-fuels-current-technologies-and-future-prospect"},signatures:"Manikandan Kanagasabai, Karuppaiya Maruthai and Viruthagiri Thangavelu",authors:null,sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_1_2",title:"1.1 Substrates for ethanol production using SSF process",level:"2"},{id:"sec_1_3",title:"1.1.1 Corn",level:"3"},{id:"sec_2_3",title:"Table 1.",level:"3"},{id:"sec_3_3",title:"Table 3.",level:"3"},{id:"sec_4_3",title:"1.1.4 Sweet potato",level:"3"},{id:"sec_5_3",title:"1.1.5 Sweet sorghum",level:"3"},{id:"sec_6_3",title:"Table 4.",level:"3"},{id:"sec_8_2",title:"1.2 Pre-treatment of substrates used in SSF process",level:"2"},{id:"sec_8_3",title:"1.2.1 Enzymatic liquefaction of starch in SSF process",level:"3"},{id:"sec_9_3",title:"1.2.2 Treatment with α-amylase of Bacillus licheniformis (TBA)",level:"3"},{id:"sec_10_3",title:"1.2.3 Treatment with α-amylase of Bacillus subtilis (BAA)",level:"3"},{id:"sec_11_3",title:"1.2.4 Treatment with α-amylase expressed by Bacillus licheniformis (BAB)",level:"3"},{id:"sec_12_3",title:"1.2.5 Treatment with fungal α-amylase of Aspergillus oryzae (FAA)",level:"3"},{id:"sec_13_3",title:"1.2.6 Enzymes for starch saccharification in SSF process",level:"3"},{id:"sec_14_3",title:"1.2.7 Treatment with glucoamylase of Aspergillus niger (GAA)",level:"3"},{id:"sec_15_3",title:"1.2.8 Treatment with glucoamylase of Rhizopus sp. (GAR)",level:"3"},{id:"sec_16_3",title:"1.2.9 Enzyme combinations in saccharification process",level:"3"},{id:"sec_18_2",title:"1.3 Microorganisms for ethanol production using SSF process",level:"2"},{id:"sec_19_2",title:"1.4 Simultaneous saccharification and fermentation (SSF) process and key variables",level:"2"},{id:"sec_21",title:"2. Conclusion",level:"1"}],chapterReferences:[{id:"B1",body:'\nKohli HS. Finance and Development. 1980. pp. 18-22\n'},{id:"B2",body:'\nKondo A et al. High-level ethanol production from starch by a flocculent Saccharomyces cerevisiae strain displaying cell-surface glucoamylase. Applied Microbiology and Biotechnology. 2002;58(3):291-296\n'},{id:"B3",body:'\nCole GE, McCabe PC, Inlow D, Gelfand DH, BenBassat A, Innis MA. Stable expression of Aspergillus awamori glucoamylase in distiller’s yeast. Biotechnology. 1988;6:417-421\n'},{id:"B4",body:'\nBriol G, Onsan I, Kirdar B, Oliver SG. 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Alcohol fermentation of starch by genetic recombinant yeast having glucoamylase activity. Biotechnology and Bioengineering. 1997;53:21-25\n'},{id:"B43",body:'\nPavla C, Beatriz P, Mats G, Zacchi G. Ethanol production from non-starch carbohydrates of wheat bran. Bioresource Technology. 2005;96:843-850\n'},{id:"B44",body:'\nReddy A, Mohammed MA. Direct fermentation of potato starch to ethanol by cocultures of A.niger and S. cerevisiae. Applied and Environmental Microbiology. 1986;52:1055-1059\n'},{id:"B45",body:'\nLee JH, Pagan RJ, Rogers PL, et al. Continous simultaneous sachharification and fermentation of starch using Z. mobilis. Biotechnology and Bioengineering. 1983;23:659-669\n'},{id:"B46",body:'\nRajoka MI, Yas A, Latif A. Kinetics of enhanched ethanol productivity using raw starch hydrolysing glucoamylase from aspergillus Niger mutant producting in solid state fermentation. Letters in Applied Microbiology. 2004;39:13-18\n'},{id:"B47",body:'\nManikandan K, Viruthagiri T. Simultaneous saccharification and fermentation of wheat bran flour into ethanol using coculture of amylotic A. niger and thermotolerent K. marxianus. Frontiers of Chemical Engineering in China. 2009;3(3):240-249\n'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Manikandan Kanagasabai",address:"kmchemical_27@yahoo.co.in",affiliation:'
Bioprocess Laboratory, Department of Chemical Engineering, Annamalai University, India
Department of Chemical Engineering, SRM University, India
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1. Introduction
Wide utilization of microwave thermotherapy can be observed in the countries of the European Union, the United States, Russia, China, Japan, and many others, including the Czech Republic. Interactions of the electromagnetic (EM) field with the human body have been utilized in medicine (e.g., cardiology, oncology, physiotherapy, and urology) since the late seventieth of the twentieth century. A very important role in this process plays scientific societies, e.g., the European Society for Hyperthermia Oncology (ESHO), which cooperates with STM (Society for Thermal Medicine), and ASHO (Asian Society of Hyperthermia Oncology).
Currently, EM fields are frequently used in a few well-established medical procedures already. Good examples in the area of medical diagnostics are, e.g., computer tomography (CT) and magnetic resonance imaging (MRI). In the area of therapy, we can mention, e.g., electrosurgery and radiofrequency (RF) heating in physiotherapy. Then microwave (MW) hyperthermia and RF + MW ablation in clinical therapy are being used for the treatment of cancer and other diseases.
According to the purpose of how microwaves are used, we can divide the medical applications of microwaves into the following three main groups [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]:
Therapy (mostly so-called thermal effects are being used; so-called nonthermal effects are still under discussion).
Diagnostics (based on permittivity measurements, very prospective can be, e.g., an MW differential tomography, UWB radar technology, and MW radiometers).
MW is only a part of the medical system (e.g., microwave technology as the basis of the linear accelerator).
As told above, treatment applications of MW are represented mainly by those based on thermal effects. Thus, we can speak about the MW thermotherapy, which can be generally divided into several basic modalities with respect to the goal temperature level or interval:
Diathermia: which means mild heating up to 41°C at maximum (clinically can be used, e.g., in physiotherapy).
Hyperthermia: this means increasing the temperature in the tumor area up to the interval of 41–45°C (clinically mostly used in oncology).
Thermoablation: this means to increase the temperature over 45°C (clinically can be used, e.g., in urology for BPH treatment and in cardiology for treatments of fibrillation and/or arrhythmia).
For the abovementioned methods of thermotherapy treatments, frequency interval from 1 up to 5600 MHz is mostly used.
As for diagnostics based on the EM field—significant importance for the near future can be identified for the following methods mainly:
MRI and CT (both these diagnostics methods have been largely used since the 80th of the last century already; they both represent the highest possible level of medical diagnostics).
Microwave differential tomography (very prospective as a diagnostics method for the near future, to be used mainly as diagnostics of cancer or for noninvasive temperature measurements).
Microwave UWB diagnostic radar (can be used for the same purposes as microwave differential tomography, but as well for other purposes, such as monitoring of breathing).
Microwave radiometry (can be used for the same purposes as microwave differential tomography, but it works on different physical principles).
As for the frequency spectrum of the EM field (Figure 1), then it is possible to see that MRI is working in the frequency band from 64 to 299 MHz (i.e., the upper part of the RF band); instead, CT then is working in hard X-ray band. The MW frequency band is frequencies from 300 MHz to 300 GHz. The lower part of this frequency band, from 300 MHz to 6 GHz, is very prospective for MW medical imaging. Frequency band above approx. 100 GHz is very prospective for imaging with Terahertz waves. In Figure 1, there is a picture of the frequency spectrum of the EM field.
Figure 1.
Frequency spectrum of EM fields.
In this chapter, we will not describe the MRI and CT technology, as it is a well-known and broadly used application of the EM field in medical diagnostics. We will describe and discuss here other methods based on microwave technology mentioned above. The idea of MWs for medical diagnostics is a relatively new area but rapidly developing. The main advantages of MW technology with respect to CT and/or MRI are as follows:
MWs belong to EM nonionizing radiation (such as MRI); instead, CT works in the ionizing part of the EM frequency spectrum.
The system for MW diagnostics is very small and lightweight in comparison with MRI and CT (its dimension and weight are comparable to a notebook, so it will be possible to have it in an ambulance).
MW diagnostic systems have the potential to be at least one order less expensive than either MRI or CT (since the MW technology is being massively used in mobile telecommunications).
And it is important to underline that for MW diagnostics, low power levels (1–20 mW) are used only.
2. Microwave thermotherapy
The first four of the following list of thermotherapeutical applications are just largely used in many countries around the world; the last three instead are at this moment in the phase of very promising projects:
Oncology (cancer treatment)
Biological principle utilizes the fact that certain tumor cells are very sensitive to a temperature higher than 41°C, while normal cells generally survive elevated temperatures up to 45°C. And so heating of the tumor region at temperatures of 41–45°C can selectively destroy tumor cells.
Physiotherapy (treatment of rheumatic and skeletal diseases)
Like in hyperthermia, therapeutic effect is caused by the principle of heating biological tissue, but to lower temperatures—usually only up to 41°C. It is used for treating pain in certain rheumatic and degenerative diseases and the treatment of chronic inflammations resistant to antibiotics, often used in rehabilitation and physical therapy.
Urology (BPH treatment)
Microwave thermocoagulation—heating up to temperatures much higher than 45°C, usually around 70°C. An example can be given the microwave treatment of Benign Prostate Hyperplasia, which can replace a complicated surgery.
Cardiology (arrhythmia and fibrillation treatment, microwave angioplasties)
Cardiac catheter thermal ablation is now the standard of care for various cardiac arrhythmia types (irregular heartbeat rhythm). The method uses a catheter terminated with a microwave antenna, which is introduced into either heart of the patient or into partially or totally blocked blood vessels. Heat gained by microwave energy either safely removes the cells inside the human heart causing arrhythmia and/or fibrillation or removes sclerotic plaques deposited on the walls of blood vessels.
For here mentioned thermotherapy treatments, it is important to mention that frequencies from the frequency band started approximately at 1 MHz and going up to 10 GHz are mostly used. This frequency range is given by the optimal depth of penetration of EM waves into biological tissue. Thus, this frequency band can achieve the needed depth of effective treatment.
2.1 Clinical applications of microwave hyperthermia
In Prague, the clinical applications of microwave hyperthermia for cancer treatment started in 1981, in cooperation with the Medical Faculty (the Charles University in Prague), the Radiotherapy Institute in Prague, and the Dept. of EM Field (the Czech Technical University in Prague). Since then, microwave hyperthermia has been clinically applied to more than 1000 cancer patients. Mostly added to radiotherapy (RT), a clinical study has been approved as a significantly positive contribution to RT treatment. Recently, a combination of hyperthermia added to proton therapy has been clinically applied in Prague.
Treatment of malignant tumors comprises several techniques usually. In some cases, tumors can be resected by surgery. Radiotherapy and/or chemotherapy can be applied when surgery is not possible or as part of a multidisciplinary approach. A less widely known treatment modality is hyperthermia. It is a therapeutic application of heat in which tumor temperatures are elevated in the range of 41–45°C. The heating of tumor tissue has a cell killing (cytotoxic) effect. However, the cytotoxic effect is small at temperatures below 45°C. Therefore, hyperthermia is always clinically combined with either radiotherapy or chemotherapy. The application of hyperthermia has been proven to increase the therapeutic effect of both radiotherapy and chemotherapy.
The effect of hyperthermia is strongly dependent on the achieved tumor temperatures and heating time. Preclinical research has shown that the cell-killing effect doubles every centigrade, e.g., 1 hour at 42°C is equivalent to half an hour at 43°C. Hypoxic tumors, i.e., tumors with a low level of oxygen, are more resistant to ionizing radiation than well-oxygenated tumors, while hyperthermia is particularly effective in hypoxic tumors.
Large solid tumors often contain hypoxic areas due to heterogeneous vascularization, making hyperthermia a useful addition to radiotherapy. The complementary effect of hyperthermia and radiotherapy is also because cells in the S-phase of the cell cycle are more sensitive to hyperthermia than the G1-phase, whereas cells are more resistant to radiotherapy in the S-phase.
Repair of DNA damage caused by radiotherapy is inhibited by hyperthermia. Hyperthermia also induces radiosensitization and chemosensitization. Furthermore, blood flow increases during hyperthermia improving tumor oxygenation and probably enhancing radiosensitivity. The increased blood flow also improves the uptake of cytostatics in tumor cells. Thus, the increased blood flow during hyperthermia is favorable for improving radiotherapy and chemotherapy effectiveness.
In clinical practice, we need to increase the temperature in a more or less circumscribed body region with tumor load. Treated volume ranges from a few cubic centimeters in case of thermoablation in lesions up to heating the whole body. Because of this, we need different types of applicators for each of the below-mentioned special cases. Thus, we can speak about different clinical modes of microwave hyperthermia.
First of all, we would like to offer an overview of the technical equipment needed for clinical applications of microwave thermotherapy in this chapter. Further, the main basic principles of EM field behavior inside the living biological system, selected from the point of view of physics related to microwave thermotherapy, will be mentioned. Moreover, we will provide the reader with references in literature, where detailed information on both physical and technical aspects of microwave thermotherapy (especially microwave hyperthermia) can be found.
2.2 Classification of clinical modes of microwave thermotherapy
According to ESHO guidelines following classification of different clinical modes of microwave hyperthermia (or thermotherapy in general) can be made:
Local hyperthermia – Medical indications for local hyperthermia include chest wall recurrences, superficial malignant melanoma lesions, and lymph node metastases of head and neck tumors—all of which are validated in prospective randomized studies. The basic physical and technical descriptions will be given in the following text.
Regional hyperthermia – Medical indications for regional hyperthermia include locally advanced and/or recurrent pelvis tumors, i.e., rectal carcinoma, cervical carcinoma, bladder carcinoma, prostate carcinoma, or soft tissue sarcoma. Some of these indications were validated in prospective studies. Basic physical and technical descriptions will be given in the following text.
Part-body hyperthermia – Heated volume of a body region such as the whole pelvis, the whole abdomen, or (if clinically desirable) the upper abdomen or lower thorax or others. Basic physical and technical descriptions will be given in the following text.
Whole-body hyperthermia (WBHT) –means to heat the whole body either up to 42°C for 60 minutes (so-called “Extreme WBHT”) or only 39.5–41°C for a longer time, e.g., 3 hours (so-called “Moderate WBHT” or “Fever-like WBHT”).
Thermoablation – is performed with thin laser applicators or radiofrequency electrodes of a few millimeters. It is a minimally invasive procedure in every case, i.e., the applicators must be implanted in the lesions under CT or MR guidance. Achieved temperatures are high (up to 90°C), but the thermal gradients are pretty steep, and the effective range is 1–2 cm (i.e., lesions with diameters of 3–4 cm are the limit using standard techniques). Liver metastases (numbers up to 4) are the most frequent indication. The procedures are typically performed under MR control.
Interstitial hyperthermia – an array of interstitial antennas or electrodes is implanted in inaccessible tumors, which might be located in deep or superficial tissues. The distance between the antennas must not exceed 1–2 cm, and therefore, lesions with diameters below 5 cm are suitable (in order to limit the number of puncturing tracks). From a physical point of view, we mostly want to create the best possible approximation through outward propagating spherical EM waves irradiated from each applicator. Thus, we can get the best approximation of the tumor dimensions and shape by dimensions and shape of the SAR distribution and thus, the best approximation of temperature distribution. Interstitial hyperthermia is an invasive procedure. Temperature measurements must be performed at the antennas and between them. In most systems, every single antenna is controlled by its generator. Dedicated systems have two or more segments per antenna or electrode controlled in phase and/or amplitude. Clinically interstitial hyperthermia has been applied for prostate carcinoma, recurrent breast cancer, and malignant brain tumors.
Endoluminal hyperthermia – uses natural orifices to position various kinds of endocavitary applicators (microwave, radiowave, ultrasound, etc.) in direct contact with a tumor. From the physical point of view, we mostly want to create the best possible approximation with the aid of an outward propagating cylindrical EM wave irradiated from the applicator. For physical reasons, the penetration depth around those endoluminal applicators is limited and of the order of the applicator’s diameter (in the centimeter range). Accessible tumors include esophageal carcinoma, prostate carcinoma, rectal and cervical carcinoma.
2.3 Local hyperthermia
The term “Local hyperthermia” means superficial treatment, and typically the clinical range is up to 3–4 cm. It can be performed with so-called superficial applicators, e.g., based on EM waves in the lower part of the microwave frequency band (usually 434, 915, and 2450 MHz), ultrasound, and IR power. The technological base of EM wave applicators can be of different kinds: waveguides (water filled or with evanescent mode), microwave planar technology (e.g., patches and spirals), and according to results of this habilitation thesis, MTM applicators are very perspective as well.
From a physical point of view, we mostly want the superficial applicators to create the best possible approximation of a plane EM wave, which is the case of the deepest penetration of EM power into the area to be treated (at a given working frequency) and the best homogeneity of SAR distribution and thus, the best homogeneity of temperature distribution as well.
A system for local hyperthermia consists of a microwave (MW) power generator, an MW applicator for transfer of EM power into the treated area, see eq. (7) (tumor), a multichannel thermometer with several probes for temperature measurements in the tumor and its surroundings, and the main computer. See the schematics in Figure 2.
Figure 2.
MW hyperthermia system schematics.
Invasive sensors then measure temperature, and according to it, MW power is being controlled in order to keep the temperature on a predetermined level.
The applicator is positioned upon the area to be treated and coupled to the tissue by a water bolus. The temperature and pressure of the water in the water bolus are possible to control, so it is possible to modify the temperature profile in the area to be treated.
In our discussion, it is essential to distinguish the following two important terms: “Depth of EM wave penetration” and “Depth of efficient treatment.” The second one can have different definitions for different clinical applications of thermotherapy treatments (i.e., hyperthermia, physiotherapy, and ablations). Here, we will work with the definition for hyperthermia only.
2.4 Depth of EM wave penetration and depth of efficient treatment
For the initial estimation of EM wave penetration into biological tissue, we can take a model for the behavior of amplitude of the plane wave in a lossy media.
Ez=E0e−αzE1
where E is electrical field intensity, E0 is its value at the surface of biological tissue, z is the depth under the surface, and α means the attenuation constant of EM wave in lossy media.
The depth of the EM wave penetration d then has its definition in EM field theory based on the decrease of the amplitude of electrical field intensity to value Eo/e (where e is a basis of natural logarithm) when a plane EM wave enters into a lossy media; see the following equation.
d=1πσμ0f.E2
It can be seen that d is inversely proportional to the square root of σ and μ0 of a given tissue and to the frequency f of the EM field. For the usual operating frequencies of the applicators 27, 70, 434, 915, and 2450 MHz (all of them except 70 MHz belong to ISM frequency bands reserved for industrial, scientific, and medical applications), it can be concluded that the lower the operating frequency, the deeper will be the penetration depth. The same conclusion can be made for the value of conductivity.
In the case of microwave hyperthermia, the depth of the efficient treatment is given by the distribution of temperature in the treated area—it is formulated as a 25% decrease of the SAR value with respect to the maximum value of SAR inside the treated area. That guarantees quick and quality heating of the treated area from 37°C to at least 41°C. Suppose the maximum temperature in the tumor will be at the level of 45°C, then the depth of the efficient treatment depends on the following factors:
Depth of EM wave penetration – At a given working frequency and a given type of biological tissue.
EM field distribution in the aperture of the applicator – Usually, we are trying to create in the aperture of the applicator the distribution of EM field very similar to plane wave—thus, it is possible to accomplish the deepest penetration depth for the particular frequency and aperture dimensions.
Aperture size of the applicator – Bigger aperture size helps to approach better the EM field distribution inside the applicator aperture to the case of a plane wave. Very good results are expected if the aperture dimension size is comparable or bigger than a half wavelength at the operating frequency.
3D configuration of biological tissues in front of applicator aperture – Biological tissues can roughly be sorted into two categories: high or low water content. Tissues with high water content have higher attenuation than tissues with low water content. So, e.g., in the fat layer, there is EM wave less attenuated than in muscle tissue, and thus it penetrates deeper in fat than into muscle tissue.
Temperature of water in water bolus – This water can cool the surface of the area to be treated and thus improve the temperature profile inside this area.
There is a general rule for hyperthermia applicators optimization if we need to reach the maximal depth of efficient treatment and the best possible homogeneity of the temperature distribution inside the treated area. At least in the central part of their aperture, the distribution of the EM field should be very similar to plane wave; thus, it is possible to accomplish the deepest penetration depth for the particular frequency and aperture dimensions.
2.5 Regional hyperthermia
The term “Regional hyperthermia” means treating deep-seated tumors of the pelvis or lower extremities, etc. The so-called regional applicators can perform treatment, i.e., usually, an array of phase-controlled radiating elements typically working in the frequency range of 50–150 MHz. As radiating elements again, waveguides or dipoles are mostly being used. They surround the whole circumference; all possible directions are employed to deliver EM energy into the treated volume. The higher number of antennas and higher the frequency have the potential to control the heating 3D pattern. Several rings of antennas directed to the patient axis can be used to enable flexibility with respect to the anatomical structures for optimization.
A system for regional hyperthermia consists of a microwave (MW) or radiofrequency (RF) multichannel power generator (multiple power generators), an array of MW applicators for focusing EM power into the area to be treated (tumor), a multichannel thermometer with several probes for measurements of temperature in the tumor and its surroundings, and the main computer; see the schematics in Figure 3.
Figure 3.
Schematics of microwave system for regional or part-body hyperthermia.
Applicators are positioned upon the area to be treated and coupled to the tissue by a water bolus. The water temperature in the water bolus is possible to control, so it is possible to modify the temperature profile in the area to be treated, like in the case of local hyperthermia. In the case of regional hyperthermia, the water temperature in the water bolus is usually below 10°C.
From a physical point of view, we mostly want to create the best possible approximation of a cylindrical or spherical EM wave irradiated from several (typically from 4 up to 12) single applicators situated around the patient. Superposition of the waves from these single applicators then creates inward propagating cylindrical or spherical waves, enabling the focus EM power in the area to be treated. Thus we can get the best approximation of the tumor dimensions and shape by dimensions and shape of the SAR distribution and thus, the best approximation of temperature distribution.
In discussed case, when we have a cylindrical phantom surrounded by several above mentioned applicators, then for the thermotherapy, the most important component of the EM field will be longitudinal component Ez, which in the discussed case can be expressed by equation.
Ezr=KH02γr,E3
where H02 is the Hankel function of zero order and second kind, K is a constant, r is a radius vector, γ is a complex propagation constant. Hankel function H02 can be calculated as a linear combination of the Bessel function J0 and the Neumann function N0:
H02γr=J0γr–jN0γr,E4
As cylindrical agar phantom is mimicking muscle tissue, i.e., lossy medium, then the argument of Hankel function is a complex number. In Figure 3, there are three basic cases of temperature distribution inside an area treated by regional hyperthermia, which follows from the behavior of the Hankel function (see the narrow colored strips signed by letters a, b, and c):
If the frequency is very low (from 27 to 80 MHz) and thus the depth of the penetration at this frequency is comparable to or bigger than the radius of the phantom D/2, then the shape of the temperature distribution may be approaching the case a, which corresponds to part-body treatment.
If the frequency is increased to 100 MHz or higher (i.e., attenuation constant is increasing), then we expect to approach the shape of the temperature distribution given by case b of a very significant focus of temperature on the tumor. This case corresponds to regional treatment.
Case c then corresponds to the situation when the depth of penetration of the studied EM wave is much less than the radius of the area to be treated. This typically happens for frequencies of, e.g., 434 MHz and higher. This case corresponds to deep local or superficial local treatment.
Given examples of frequency bands are valid either for the human body of average dimensions or for agar phantom with similar dimensions and dielectric parameters with values near to values valid for muscle tissue.
2.6 Part-body hyperthermia
Part-body hyperthermia is a technique derived from the regional approach and developed to heat a selected anatomical region in an extended manner up to 41–42°C under careful MR monitoring. From a physical point of view, we want mostly to create the best possible approximation of a spherical EM wave irradiated from several (typically from 12 up to 24) single applicators situated around the patient.
Superposition of the waves from these single applicators then creates inward propagating spherical waves enabling the focus EM power in the area to be treated. Thus, we can get the best approximation of the tumor dimensions and shape by dimensions and shape of the SAR distribution and thus, the best approximation of temperature distribution.
Due to safety reasons, the use of MR monitoring (to measure online temperature and perfusion) and a planning system is required at these higher power levels. Systems for part-body hyperthermia are called “hybrid systems” because they are based on the MR-compatible integration of a multiantenna applicator into an MR tomograph.
2.7 EM waves in biological tissue
The most important effect from the point of view of microwave thermotherapy is the propagation of EM waves through the biological tissue to be treated. It can be classified as lossy dielectrics. So the power (energy) of propagating EM wave will be changed into thermal power (energy). For more details, see [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20].
EM energy turns to heat, particularly due to the following mechanism: When the alternate field takes effect, vibrating electric particles lag behind the exciting intensity of the electric field; the current is not entirely in phase with electric field intensity. It is possible to describe this phase mathematically in a way that we virtually split up the movement of electrons into:
Component that follows electric field intensity.
Component that is in phase with the difference of potentials on electrodes.
The first component mentioned above determines the real part of permittivity ε′. The other one is the cause of loss of current heating up the dielectric and determining the imaginary (conductive) part of permittivity ε′′. From this, relative permittivity depends on the polarization charge value of the dipole, and alternate losses depend on the weight and volume of moving particles. The dielectric quality is thus given by the ratio of particle charge and particle mass.
When the electromagnetic energy goes through the biological tissue, it is absorbed and turned into heat, resulting in a temperature increase of biological tissue within the irradiated area. Spatial distribution of temperature induced the way mentioned above (with respect to depth of EM wave penetration and depth of efficient treatment) depends on various factors.
The interaction of the EM field with biological tissue studied from a physical point of view is well described in several references, e.g. [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], so we do not need to go into the details here. When studying these interactions to be used in clinical applications of thermotherapy, then usually it is necessary to determine by calculations or measurements following 3D or 4D distributions:
The 3D spatial distribution of the values of the EM field main quantities (e.g., vector of electric field strength E(x,y,z), vector of magnetic field strength H(x,y,z), etc.) in a certain area of the biological tissue—area to be treated.
The 3D spatial distribution of power Pa absorbed in a given biological object can be for a single point or elementary volume (voxel) calculated as
Paxyz=σ2Exyz2.E5
The 3D spatial distribution of specific absorption rate—the SAR [W/kg] indicates the EM energy absorbed in the biological tissue and, as shown by the unit, it is the power absorbed per 1 kg of tissue
SAR=δδtδWδm=δδtδWρδV=δPδm=δPρδV,E6
where W is the electromagnetic energy absorbed in the biological tissue, t is the time, and m denotes mass. P is the power of the electromagnetic wave that spreads the biological tissue, ρ is the density of the tissue, and V is the volume. By introducing the spatial distribution of the intensity of the electric field E (x, y, z), the relationship is as follows:
SAR=σρExyz22E7
Which can be further modified as SAR = Pa/ρ. In case of experimental evaluation of the SAR, we can measure the temperature increase ΔT after heating by EM-power in time interval Δt.
SAR=cδTxyztδt=c∆Txyzt∆t,E8
where c is the specific heat of the biological tissue or its phantom and SAR very well defines the level of exposure of the biological tissue.
The 4D—i.e., spatial and time-dependent distribution of temperature T (x,y,z,t) in a given biological object, which can be calculated from the so-called Penne’s Bioheat Equation, see in part 2.9 of this chapter.
High-frequency electromagnetic fields can penetrate the human body and propagate through. During the propagation of EM waves through biological tissues, their energy is gradually absorbed and converted into heat, thereby increasing the temperature of the irradiated area. To such a wave, biological tissues behave as a lossy dielectric. In such a case, permittivity and permeability become to be complex numbers. The spatial distribution of temperature depends on many factors, the most important of which are:
The type of the EM wave (i.e., whether it is planar, cylindrical, or spherical).
Operating frequency determines the EM wavelength (i.e., penetration depth).
Spatial distribution of the biological tissue in the irradiated volume.
Dielectric and thermal characteristics of each tissue type in a certain area.
Blood flowing into the treated area.
2.8 Treatment planning of clinical application of thermotherapy
The term treatment planning for clinical application of the thermotherapy means mathematical and experimental modeling of the effective treatment timing to determine the four-dimensional (4D) distribution of temperature (i.e., 3D in space + temperature behavior with respect to time) during the scheduled treatment (both within the treatment area and in its surroundings).
When preparing a particular type of clinical application, it is necessary to perform a series of experiments and model calculations to create a specific idea about the actual distribution of temperature (with respect to SAR) in the treated area. It is a highly complex problem that is not yet fully resolved. This is due to several factors, of which the most important may be considered:
highly inhomogeneous nature of the biological object—i.e., mainly irregular and complex definable spatial distribution of different types of biological tissues in the human body,
in practice, the usually unavailable precise description of the topology of the bloodstream, and particularly its response to external stimuli—i.e., mainly at an increasing temperature in the treatment area,
very “complicated” nature called near electromagnetic field emitted from the aperture thermotherapy applicators.
In the case of treatment planning, first, we need to do the calculation of SAR 3D distribution and after to do the calculation of the temperature 3D distribution. This distribution inside the treated area (heated by microwave energy q) can be expressed from the well-known Pennes Bioheat Eq. (1948):
ρCp∂T∂t=∇∙k∇T+ωbCp,bTa−T+qm+ρSAR.E9
where T is tissue temperature (K), t is time (s), ρ tissue density (kg/m3), Cp specific heat capacity of tissue (J/kg/K), Cp,b specific heat capacity of blood (J/kg/K), k thermal conductivity (W/m/K), ωb volumetric blood flow rate (kg/s/m3) of the specific tissue, Ta arterial blood temperature (usually 37°C), and qm metabolic heat source rate (W/m3).
The possibilities of an analytical solution to this equation are limited to a few cases—e.g., the “one-dimensional” case of plane wave penetrating homogeneous phantom. Therefore, computers are to be used to solve this equation to obtain the temperature Tx,yzt time dependence and 3D space distribution. For the treatment planning of microwave thermotherapy, it is possible to use commercially available SW products, e.g., SEMCAD X, Sim4Life, Comsol Multiphysics, and CST Microwave Studio.
In general, it is necessary to solve the time dependence of the temperature Txyzt at different points in complex three-dimensional space with the inhomogeneous structure of the biological tissue whose blood supply changes depending on heating. This is not analytically solvable in general, only partially in the case of simplified geometric models.
The versatile option is to apply numerical methods using very powerful computers. The numerical solution then typically uses differential methods or finite element methods. The biggest problem then acts precisely, defining and modeling the bloodstream and its responses to cool or heat certain areas of the human body. The situation is further complicated dramatically by the topology of the heated area. The topology can be a good guess for subsurface treatment in clinical applications. However, the more complicated is the situation for deep regional heating when mapping the treated area requires a CT and/or MRI.
3. Noninvasive temperature monitoring
Noninvasive temperature monitoring of hyperthermia cancer treatment is one of the crucial points for its successful clinical applications. MRI is often discussed to be a prospective solution to this problem. However, it is a costly way (commercially available hyperthermia system controlled by MRI has a price above 1 million EUR). Because of that, cheaper solutions-based on, e.g., microwave or ultrasound technology, could be a convenient alternative to MRI temperature monitoring. Till now, microwave radiometers have been discussed for this purpose. Radiometers can measure the absolute value of temperature, but their spatial resolution is not sufficient. They integrate thermal noise from certain volumes, and thus, they indicate approximately average temperature inside this volume, so it may happen that the microwave radiometer will not identify existing hot spots or cold spots.
Our theoretical and experimental research work is focused now on microwave differential tomography (MDT). The Department of Biomedical Technology (the Czech Technical University in Prague) developed its own MDT system (see photo in Figure 4) in cooperation with Prof. Andrea Massa from Eledia Research Center (Trento, Italy). It seems realistic that the MDT methods can be used for 3D noninvasive temperature monitoring of the treated volume during thermotherapy in oncology. Existing suitable reconstruction algorithms, which allow quasi-real-time monitoring of changes of dielectric properties due to changes of temperature, were implemented. Reconstruction algorithms were tested on different 2D and 3D models. The obtained results using the Distorted Born Algorithm (DBA) and Born Algorithm (BA) were compared in terms of the algorithms’ ability to reconstruct the shape and position of the target and flatness of the obtained object function in regions without change in dielectric properties.
Figure 4.
Photograph of an experimental system for research of MDT.
4. Microwave applicators
Our research work is oriented toward studies and developments of local external applicators working at 27, 70, 434, and 2450 MHz (see Figure 2). These applicators were used to treat deep-seated and/or superficial tumors (treatment depth from 2 up to 8 cm).
Now, following new trends in this field, we continue our research in the important directions of regional applicators (see Figure 3). Moreover, we are trying to implement new microwave technologies in the design of new hyperthermia applicators, e.g., applicators based on metamaterial technology. Our BioEM team with Prof. Paul Stauffer from Thomas Jefferson University Hospital in Philadelphia has developed such applicators. Research of MW thermotherapy systems and MW medical diagnostics is in Prague done in cooperation with Dept. of EM Field (Faculty of Electrical Engineering) and Dept. of Biomedical Technique (Faculty of Biomedical Engineering), both are part of the Czech Technical University in Prague. The most important technical activities in this field can be specified as:
Design of the applicators based on new MW technologies, i.e., development of new type applicators for more effective local, intracavitary, and regional treatment;
Development of treatment planning, i.e., mathematical and experimental modeling of the effective treatment;
Feasibility study of noninvasive temperature monitoring, e.g., microwave differential tomography or UWB radar technology;
MW medical diagnostics (e.g., MW differential tomography).
In Figure 5, there is an example of the calculated distribution temperature obtained by a matrix of a 3x2 MTM elements array. The highest temperature level is displayed here in red color, and the yellow color denotes the threshold therapeutic temperature of 41°C.
Figure 5.
Calculation of the temperature distribution at 3.5 cm depth under the 3 × 2 MTM elements array. The yellow color denotes the threshold of the treated area.
In actual clinics, we need the treatment planning to create so-called phantoms of the patient body or at least phantoms of the area to be treated, see Figure 6a and b. In Figure 6a, there is an example of a homogeneous phantom; in Figure 6b then, there is an example of the anatomical phantom. The first one is suitable for verifying the fundamental behavior of the applicator; the second one then is needed for the 3D SAR and 3D temperature distribution during the treatment of the actual patient.
Figure 6.
Example of a homogeneous (a) and the anatomical phantom (b).
In Figure 7, an example of SAR distribution is calculated for the case of the anatomical phantom. A very strong focus of MW power on a big tumor can be observed here.
Figure 7.
Example of SAR distribution calculated for the case of anatomical phantom given in Figure 6.
5. Microwave medical diagnostics
As mentioned above, recently, there have been strong trends in research to apply microwave technology in medical diagnostics. Significant importance for the future can be identified for above all the following methods: microwave differential tomography, microwave diagnostic UWB radar, and microwave radiometry.
5.1 Microwave differential tomography (MDT)
In Prague, the MDT is developed by a research group from the Dept. of Biomedical Technology in cooperation with Prof. Andrea Massa and his group from ELEDIA Research Center (University of Trento, Italy). Theoretical works are focused on a theory of differential microwave imaging (DMI) in quasi-real-time. Existing suitable reconstruction algorithms, namely Distorted Born Algorithm (DBA) and Born Algorithm (BA), which allow quasi-real-time monitoring of changes of dielectric properties due to changes of temperature, were implemented. They were applied and tested both numerically and experimentally within the feasibility studies.
These reconstruction algorithms were tested on numerical data from numerical 2D and 3D simulations; see Figure 8.
Figure 8.
Numerical models for testing of reconstruction algorithms.
The below described results based on DBA and BA were compared in terms of the ability to reconstruct the shape and position of the target and flatness of the obtained object function in regions without change in dielectric properties. Influences of varying TSVD threshold values, number of voxels, calibration, and normalization were tested. BA with a low TSVD-threshold value leads to clear pictures of the difference in relative permittivity, but we lose information about the difference in conductivity. The described algorithms were tested with a sphere that was virtually homogeneously heated. The resulting pictures were not of the clear boundary of the so-called objective function: the predicted changes of object function are smooth, see Figures 9 and 10. Even if the implemented algorithms show several deficits, they represent state of the art and are therefore a suitable starting point in developing the combined MW system. Here described, the principle of noninvasive temperature monitoring, once it is commercially available, would mean a very significant improvement in quality assurance for hyperthermia treatment of oncological patients in actual clinics and for the comfort of their treatment as well.
Figure 9.
Results of reconstruction on a 2D model.
Figure 10.
Results of reconstruction on a 3D model.
In Figure 4, there is a photograph of the laboratory MDT system built at the Dept. of Biomedical Technique. In this case, it consists of eight bow-tie antennas, but we can go up to 24 antennas in total. Necessary MATLAB scripts for measurements automatization, data acquisition, and image reconstruction were implemented by us. We created numerical models for solving the forward problem, which is necessary for the reconstruction algorithms. A preliminary evaluation of the system based on measurement results was performed at the same time. It seems realistic that the DMI methods can be used for 3D noninvasive temperature monitoring of the treated volume during thermotherapy in oncology.
Currently, we study (by means of numerical simulations) the suitability of different types of antennas, e.g., their EM principle, dimensions, number, and geometrical configuration. We know that the main resolution limit of the described system is a low number of radiating elements. We plan to extend the system to the maximum possible number of antenna elements (i.e., up to 24). We believe there will be considerable improvement in the resolution.
Another prospective possibility of using the principle and technology of DMI is the rapid detection, identification, and classification of strokes (SDI), which would be essential for the quick, qualified decision of what kind of treatment is necessary to give to the stroke patient already in the ambulance when he/she is being transferred to the hospital. The Pioneer research group in this area is a team of Prof. Mikael Persson from Chalmers University in Goeteborg, Sweden.
5.2 UWB radar
Dr. Marko Helbig and Dr. Juergen Sachs from TU Ilmenau in Germany came up with the idea to use microwave UWB radar technology for noninvasive microwave imaging and/or noninvasive temperature monitoring. In Prague, they are followed by people from the Dept. of EM Field.
The detection of temperature change via UWB radar signal is based on the fact that the complex permittivity changes with temperature. We have shown that it is possible to detect these changes by UWB microwave radar. In our case, the antenna array comprises eight dipole antennas (21 x 11 mm). These antennas are excited by the UWB pulse in the frequency band 1–8 GHz. The values of relative permittivity and specific conductivity of all considered tissue temperatures (at starting temperature of 37°C) can be taken, e.g., from the IT’IS Foundation database.
We worked with an experimental antenna setup for UWB temperature change detection to be used in microwave hyperthermia treatment. Our numerical and laboratory models with implemented frequency and temperature dispersive parameters of biological tissues were used for a series of simulation purposes. The results from our numerical simulations show that it is possible to identify even very low changes in tumor permittivity caused by temperature change.
Our experiments with the homogeneous and nonhomogeneous phantoms have shown that we can detect even different temperature layers. From the reconstructed image, we can partially reconstruct the shape and position of the simulated inhomogeneity. The way to improve the chance for more accurate differential temperature reconstruction is in the higher number of antennas closer to the heated area utilization and in the attenuation correction improvement.
6. Biological effect of microwave power
Research studies on the interactions between the EM field and biological systems have been the subject of high interest during the last decades. Here, we would like to give more details about such kind of research and obtained technical and biological results (i.e., basic description of implemented exposure systems). Two of our recent projects were oriented on the research of thermal effects of EM field (using either waveguide or array applicators). And the third one then on the research of nonthermal effects. Whole-body exposure chamber, operating at 900 MHz, was developed for small animals in the frame of this research project. The setup was designed with respect to homogeneity of induced EM field, elimination of external radiation, and exact determination of absorbed power. Further sufficient space for mice movement was taken into account. The whole-body exposure chamber with an anatomical mouse model was simulated by two different numerical methods, e.g., finite-difference-time-domain method (FDTD) and finite integration technique (FIT), and compared computed SAR values and its dosimetry results.
6.1 Exposure chamber
The major advantage of the system we will describe here is the capability of direct measurement of the whole-body averaged SAR, which is performed by analysis of measured scattering parameters. As the basic idea and principle of the discussed exposure chamber, a circular waveguide was chosen. The advantage of the waveguide structure is a perfect shielding of EM field generated either inside (in order to protect the operators) or generated outside the system (in order to eliminate interference caused by external EM fields). The circularly polarized wave TE11 is excited inside the exposure chamber with the aid of two monopoles that have mutually orthogonal orientations, and the distance between them is equal to one-fourth of the wavelength. Such circularly polarized wave provides relatively constant field coupling to each mouse regardless of its position, posture, or movement. The discussed exposure chamber is displayed in Figure 11.
Figure 11.
Waveguide-type exposure chamber for animal experiments.
EM field distribution and impedance matching of the discussed exposure chamber were optimized and verified by 3D EM field simulators SEMCAD X resp. Sim4Life. Dimensions of the exposure chamber were calculated to use the desired frequency of operation and the volume needed to expose mice. The exposure chamber is made of a copper cylinder with dimensions of 1650 mm in length and 240 mm in diameter. It is terminated by matched loads at both ends (conical shape, 500 mm long, and made of RF absorbers). The reflection loss of the matched load is more than −20 dB at 900 MHz.
The exposed mice are kept in a cylindrical box that is made of Styrofoam. Styrofoam has a dielectric constant of 1.03, i.e., very close to that of air, and thus, the disturbance of exposure and measurements is negligible. The box provides space for two separated mice. Punctured slit-like holes are set on the cover and side of the box for air ventilation. In the study, the mice were held in the chamber only during RF exposures, and therefore, no food or drinking water was necessary.
For the survival of experimental animals inside the exposure chamber, it is important to create efficient ventilation, which will maintain a constant temperature and good air quality in the chamber. The air comes toward mice through the ventilation hole placed below the styrofoam box and flows toward the second opposite ventilation hole placed above the box.
To be able to evaluate the results of experiments with small animals (mice in our case), we need to specify appropriate dosimetry. It is the quantification of the magnitude and distribution of absorbed EM energy within biological objects that are exposed to EM fields. In the case of radiofrequency and microwave frequency bands, there is the dosimetric quantity, which is called SAR (i.e., specific absorption rate). It is defined as the rate at which energy is absorbed per unit mass. The SAR is determined and influenced not only by the incident EM waves but also by the electrical and geometric characteristics of the irradiated subject and objects nearby it. It is strongly related to the internal electric field strength E as well as to the electric conductivity σ and the density of tissues ρ as discussed above and as can be seen, reminded by the following equation.
SAR=σ.E2/2ρW/kgE10
Therefore, SAR is a suitable dosimetric parameter, even when a studied mechanism is determined to be “athermal.” SAR distributions are usually determined from measurements in animal tissues or from numerical calculations. It generally is difficult to measure the SAR directly in a living biological body, and therefore, dosimetry efforts are forced to rely on computer simulations mainly.
An anatomically based dielectric model of an experimental animal is essential for numerical dosimetry. It can be developed commonly from MRI or CT scans. In order to develop it, original gray-scale data must be interpreted into tissue types known as a process of segmentation. In our studies, the CT scans for mouse model development were obtained from the website: http://neuroimage.usc.edu/Digimouse_download.html. The mouse model has the resolution 0.1 mm, meaning voxel size 0.1 x 0.1 x 0.1 mm. Each voxel was assigned to one of 14 different tissue types, such as bone, muscle, brain, etc.
For dosimetry with the numerical voxel models, proper permittivity and conductivity values must be assigned to each tissue. The data from 10 MHz to 6 GHz, derived from 4-Cole-Cole extrapolation based on measurements for small animals, constitute the most widely accepted database for this information. The data are recommended by various international standardization organizations and can be accessed, e.g., from the website http://www.fcc.gov/fcc-bin/dielec.sh.
6.2 Result of biological experiment
In order to verify and rely on numerical dosimetry results, the simulations of the exposure chamber were done in two different EM field simulators (based on two different numerical methods). Our choice was SEMCAD X, which uses the finite difference time domain (FDTD) method, and CST Microwave Studio, which uses the finite integration technique (FIT) method. We used these simulations to the determination of SAR distribution inside the mice during experiments.
Researchers from Medical Faculty in Pilsen, Charles University (Prof. František Vožeh, MD., Jan Barcal, MD.), did biological experiments with the aid of this exposure chamber. With the aim of whether EM exposure can increase the content of free radicals in the exposed tissue, a series of EM exposures to small animals (mice) was done. SAR level was at the level of 0.8 W/kg in the case of these experiments. Evaluation of preliminary results is displayed in Figure 12. It can be interpreted as a significantly increased content of free radicals being found.
Figure 12.
Results of an animal experiment: in all four studied organ specimens (brain, heart, kidney, and liver), significantly increased content of free radicals was found.
Acknowledgments
This research was funded by Ministry of Education, Youth and Sports of the Czech Republic under Grant LTC19031, and the Student Grant Competition of the CTU, grant number SQS20/203/OHK4/3T/17.
\n',keywords:"microwave thermotherapy, hyperthermia in cancer treatment, microwave medical diagnostics, noninvasive temperature measurement, microwave differential tomography, UWB radar in medical diagnostics",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/82420.pdf",chapterXML:"https://mts.intechopen.com/source/xml/82420.xml",downloadPdfUrl:"/chapter/pdf-download/82420",previewPdfUrl:"/chapter/pdf-preview/82420",totalDownloads:23,totalViews:0,totalCrossrefCites:0,dateSubmitted:"March 6th 2022",dateReviewed:"May 20th 2022",datePrePublished:"June 28th 2022",datePublished:null,dateFinished:"June 28th 2022",readingETA:"0",abstract:"This chapter deals with the description of recent research activities oriented on the perspective of microwave technologies in medicine and biology. It brings new ideas about the possibilities of using microwaves in thermotherapy—above all toward hyperthermia in cancer treatment. Development of new types of hyperthermia applicators (based, e.g., on technologies such as metamaterials, evanescent modes in waveguides, and other types of transmission structures) will be discussed here. Furthermore, we would like to underline in this chapter perspectives of microwaves in medical diagnostics. It is possible to expect that, e.g., microwave differential tomography, UWB radar, and microwave radiometers (all three can be used both for medical diagnostic and for noninvasive temperature measurement) will soon play an important role in it. Finally, experimental equipment necessary for research on the biological effects of EM fields is presented.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/82420",risUrl:"/chapter/ris/82420",signatures:"David Vrba, Jan Vrba, Ondrej Fiser, Jesus Cumana, Milan Babak and Jan Vrba Senior",book:{id:"11145",type:"book",title:"Recent Microwave Technologies",subtitle:null,fullTitle:"Recent Microwave Technologies",slug:null,publishedDate:null,bookSignature:"Dr. Ahmed Kishk and Dr. Kim Ho Yeap",coverURL:"https://cdn.intechopen.com/books/images_new/11145.jpg",licenceType:"CC BY 3.0",editedByType:null,isbn:"978-1-80355-928-5",printIsbn:"978-1-80355-927-8",pdfIsbn:"978-1-80355-929-2",isAvailableForWebshopOrdering:!0,editors:[{id:"150146",title:"Dr.",name:"Ahmed",middleName:null,surname:"Kishk",slug:"ahmed-kishk",fullName:"Ahmed Kishk"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:null,sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Microwave thermotherapy",level:"1"},{id:"sec_2_2",title:"2.1 Clinical applications of microwave hyperthermia",level:"2"},{id:"sec_3_2",title:"2.2 Classification of clinical modes of microwave thermotherapy",level:"2"},{id:"sec_4_2",title:"2.3 Local hyperthermia",level:"2"},{id:"sec_5_2",title:"2.4 Depth of EM wave penetration and depth of efficient treatment",level:"2"},{id:"sec_6_2",title:"2.5 Regional hyperthermia",level:"2"},{id:"sec_7_2",title:"2.6 Part-body hyperthermia",level:"2"},{id:"sec_8_2",title:"2.7 EM waves in biological tissue",level:"2"},{id:"sec_9_2",title:"2.8 Treatment planning of clinical application of thermotherapy",level:"2"},{id:"sec_11",title:"3. Noninvasive temperature monitoring",level:"1"},{id:"sec_12",title:"4. Microwave applicators",level:"1"},{id:"sec_13",title:"5. Microwave medical diagnostics",level:"1"},{id:"sec_13_2",title:"5.1 Microwave differential tomography (MDT)",level:"2"},{id:"sec_14_2",title:"5.2 UWB radar",level:"2"},{id:"sec_16",title:"6. Biological effect of microwave power",level:"1"},{id:"sec_16_2",title:"6.1 Exposure chamber",level:"2"},{id:"sec_17_2",title:"6.2 Result of biological experiment",level:"2"},{id:"sec_19",title:"Acknowledgments",level:"1"}],chapterReferences:[{id:"B1",body:'Vrba J, Boucek J, Vrba J. Waveguide applicators for detection and treatment of cancer. TESLA Electronics, Czechoslovakia. 1984;2:44-50'},{id:"B2",body:'Vrba J, Jiricka K. Radiometer for medical applications. International Science and Colloid. 1984;29:105-108'},{id:"B3",body:'Giannini F, Sorrentino R, Vrba J. “Planar circuit analysis of microstrip radial stub.” IEEE Transactions on MTT. 1984, DOI: 10.1109/tmtt.1984.1132907'},{id:"B4",body:'Vrba J, Franconi C, Vanucci I. Evanescent mode applicators for subcutaneous hyperthermia. IEEE Transactions on Biomedical Engineering. 1993;40(5):397-407'},{id:"B5",body:'Franconi C, Vrba J, Montecchia F. 27 MHz hybrid evanescent-mode applicators with flexible heating field for deep hyperthermia. International Journal of Hyperthermia. 1993;9(5):655-673'},{id:"B6",body:'Vrba J, Franconi C, Lapes M. Theoretical limits for the penetration depth of intracavitary applicators. International Journal of Hyperthermia. 1996;12(6):737-742'},{id:"B7",body:'Vrba J. Medical applications of microwaves. Electromagnetic Biology and Medicine. 2005;24(3):441-448'},{id:"B8",body:'Franconi C, Vrba J, Micali F, Pesce F. Prospects for radiofrequency hyperthermia applicator research. International Journal of Hyperthermia. 2011;27(2):187-198'},{id:"B9",body:'Dobsicek-Trefna H, Vrba J, Persson M. Design of a wideband multi-channel system for time reversal hyperthermia. International Journal of Hyperthermia. 2012;28(2):175-183'},{id:"B10",body:'Togni P, Vrba J, Vannucci L. Microwave applicator for hyperthermia treatment on in vivo melanoma model. Medical and Biological Engineering and Computing. 2010;48(3):285-292'},{id:"B11",body:'Drizdal T, Paulides MM, Vrba J, van Rhoon GC. Waveguide applicators for superficial hyperthermia treatment: Is tuning really reaquired? Journal of EM Waves and Applications. 2013;6(27):682-690'},{id:"B12",body:'Vrba J et al. Technical aspects of microwave thermotherapy. In: RF Interaction with Humans: Mechanisms, Exposures and Medical Applications. IPEM Meeting, Inst. of Physics; London. 2003'},{id:"B13",body:'Trefna HD, Vrba J, Persson M. Time-reversal focusing in microwave hyperthermia for deep-seated tumors. Physics in Medicine and Biology. 2010;55(8):2167-2185'},{id:"B14",body:'Vrba D, Vrba J. Novel applicators for local microwave hyperthermia based on zeroth-order mode resonator metamaterial. International Journal of Antennas and Propagation. 2014;2014:1-7'},{id:"B15",body:'Vrba D, Vrba J, Rodrigues DB, Stauffer P. Numerical investigation of novel microwave applicators based on zero-order mode resonance for hyperthermia treatment of cancer. Journal of the Franklin Institute. 2016;354(18):8734-8746'},{id:"B16",body:'Vrba J, Oppl L, Vrbajr, J, and Vrba D. Microwave Medical Imaging and Diagnostics. In EuMW 2008, Conference Proceedings. London: Horizon House Publications, 2008. p. 408-411. ISBN 978-1-4244-3794-8'},{id:"B17",body:'Fiser O, Helbig M, Ley S, Sachs J, Vrba J. Feasibility study of temperature change detection in phantom using M-sequence radar. In: 2016 10th EuCAP. 2016. pp. 1-4'},{id:"B18",body:'Fiser O, Merunka I, Vrba J. Numerical feasibility study of new combined hyperthermia system for head and neck region. In: European Microwave Conference (EuMC). 2017'},{id:"B19",body:'Vrba J, Vrba D, Vrba J, Vožeh F, Barcal J, Vannucci L. System for Animal EM Exposure with well Defined Dosimetry. Beijing: URSI GASS; 2014'},{id:"B20",body:'Ley S, Schilling S, Fiser O, Vrba J, Sachs J, Helbig M. Ultra-wideband temperature dependent dielectric spectroscopy of porcine tissue and blood in the microwave frequency range. Sensors. 2019;19(7):1-21'}],footnotes:[],contributors:[{corresp:null,contributorFullName:"David Vrba",address:null,affiliation:'
Faculty of Biomedical Engineering, Department of Biomedical Technique, Czech Technical University in Prague, Czech Republic
Department of EM Field, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic
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UK Research and Innovation (former Research Councils UK (RCUK) - including AHRC, BBSRC, ESRC, EPSRC, MRC, NERC, STFC.) Processing charges for books/book chapters can be covered through RCUK block grants which are allocated to most universities in the UK, which then handle the OA publication funding requests. It is at the discretion of the university whether it will approve the request.)
Wellcome Trust (Funding available only to Wellcome-funded researchers/grantees)
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This paper starts with the origin of traditional computing and discusses all the improvements and transformations that have been done due to their limitations until now. Then it moves on to the basic working of quantum computing and the quantum properties it follows like superposition, entanglement and interference. To understand the full potentials and challenges of a practical quantum computer that can be launched commercially, the paper covers the architecture, hardware, software, design, types and algorithms that are specifically required by the quantum computers. It uncovers the capability of quantum computers that can impact our lives in various viewpoints like cyber security, traffic optimization, medicines, artificial intelligence and many more. At last, we concluded all the importance, advantages and disadvantages of quantum computers. Small-scale quantum computers are being developed recently. This development is heading towards a great future due to their high potential capabilities and advancements in ongoing research. Before focusing on the significances of a general-purpose quantum computer and exploring the power of the new arising technology, it is better to review the origin, potentials, and limitations of the existing traditional computing. This information helps us in understanding the possible challenges in developing exotic and competitive technology. It will also give us an insight into the ongoing progress in this field.",book:{id:"10209",slug:"quantum-computing-and-communications",title:"Quantum Computing and Communications",fullTitle:"Quantum Computing and Communications"},signatures:"Surya Teja Marella and Hemanth Sai Kumar Parisa",authors:[{id:"297632",title:"Mr.",name:"Surya Teja",middleName:null,surname:"Marella",slug:"surya-teja-marella",fullName:"Surya Teja Marella"},{id:"336267",title:"Mr.",name:"Hemanth Sai Kumar",middleName:null,surname:"Parisa",slug:"hemanth-sai-kumar-parisa",fullName:"Hemanth Sai Kumar Parisa"}]},{id:"14175",doi:"10.5772/13868",title:"Electromagnetic Waves Generated by Line Current Pulses",slug:"electromagnetic-waves-generated-by-line-current-pulses",totalDownloads:1976,totalCrossrefCites:0,totalDimensionsCites:5,abstract:null,book:{id:"52",slug:"wave-propagation",title:"Wave Propagation",fullTitle:"Wave Propagation"},signatures:"Andrei B. 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It is a beautiful combination of physics, mathematics, computer science and information theory. It provides high computational power, less energy consumption and exponential speed over classical computers by controlling the behavior of small physical objects i.e. microscopic particles like atoms, electrons, photons, etc. Here, we present an introduction to the fundamental concepts and some ideas of quantum computing. This paper starts with the origin of traditional computing and discusses all the improvements and transformations that have been done due to their limitations until now. Then it moves on to the basic working of quantum computing and the quantum properties it follows like superposition, entanglement and interference. To understand the full potentials and challenges of a practical quantum computer that can be launched commercially, the paper covers the architecture, hardware, software, design, types and algorithms that are specifically required by the quantum computers. It uncovers the capability of quantum computers that can impact our lives in various viewpoints like cyber security, traffic optimization, medicines, artificial intelligence and many more. At last, we concluded all the importance, advantages and disadvantages of quantum computers. Small-scale quantum computers are being developed recently. This development is heading towards a great future due to their high potential capabilities and advancements in ongoing research. Before focusing on the significances of a general-purpose quantum computer and exploring the power of the new arising technology, it is better to review the origin, potentials, and limitations of the existing traditional computing. This information helps us in understanding the possible challenges in developing exotic and competitive technology. It will also give us an insight into the ongoing progress in this field.",book:{id:"10209",slug:"quantum-computing-and-communications",title:"Quantum Computing and Communications",fullTitle:"Quantum Computing and Communications"},signatures:"Surya Teja Marella and Hemanth Sai Kumar Parisa",authors:[{id:"297632",title:"Mr.",name:"Surya Teja",middleName:null,surname:"Marella",slug:"surya-teja-marella",fullName:"Surya Teja Marella"},{id:"336267",title:"Mr.",name:"Hemanth Sai Kumar",middleName:null,surname:"Parisa",slug:"hemanth-sai-kumar-parisa",fullName:"Hemanth Sai Kumar Parisa"}]},{id:"71370",title:"Complex Space Nature of the Quantum World: Return Causality to Quantum Mechanics",slug:"complex-space-nature-of-the-quantum-world-return-causality-to-quantum-mechanics",totalDownloads:1023,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"As one chapter, we about to begin a journey with exploring the limitation of the causality that rules the whole universe. Quantum mechanics is established on the basis of the phenomenology and the lack of ontology builds the wall which blocks the causality. It is very difficult to reconcile the probability and the causality in such a platform. A higher dimension consideration may leverage this dilemma by expanding the vision. Information may seem to be discontinuous or even so weird if only be viewed from a part of the degree of freedoms. Based on this premise, we reexamined the microscopic world within a complex space. Significantly, some knowledge beyond the empirical findings is revealed and paves the way for a more detailed exploration of the quantum world. The random quantum motion is essential for atomic particle and exhibits a wave-related property with a bulk of trajectories. It seems we can break down the wall which forbids the causality entering the quantum kingdom and connect quantum mechanics with classical mechanics. The causality returns to the quantum world without any assumption in terms of the quantum random motion under the optimal guidance law in complex space. Thereby hangs a tale, we briefly introduce this new formulation from the fundamental theoretical description to the practical technology applications.",book:{id:"10076",slug:"quantum-mechanics",title:"Quantum Mechanics",fullTitle:"Quantum Mechanics"},signatures:"Ciann-Dong Yang and Shiang-Yi Han",authors:[{id:"158670",title:"Prof.",name:"Ciann-Dong",middleName:null,surname:"Yang",slug:"ciann-dong-yang",fullName:"Ciann-Dong Yang"},{id:"315900",title:"Dr.",name:"Shiang-Yi",middleName:null,surname:"Han",slug:"shiang-yi-han",fullName:"Shiang-Yi Han"}]},{id:"72922",title:"Analysis of Quantum Confinement and Carrier Transport of Nano-Transistor in Quantum Mechanics",slug:"analysis-of-quantum-confinement-and-carrier-transport-of-nano-transistor-in-quantum-mechanics",totalDownloads:642,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Quantum mechanics is the branch of physics that consists of laws explaining the physical properties of the nature of nano-particles and their characteristics on an atomic scale. The study of nano-particles significantly challenges our current perception of the universe and the fabric of reality itself. Quantum particles have both wave-like and particle-like characteristics. The fundamental equation that predicts the physical behaviour of a quantum system is the Schrödinger equation and the Poisson equation using Monte Carlo simulations. This gives rise to the wavefunction, electron and hole densities, energy levels and band structure of the system which contains all the measurable information about the particle such as time and position, where position is represented using probabilities. This is because particles do not have one definite position during the time before measurement. In fact, they exist as a fuzzy distribution of all possible states where the likelihood of finding the particle in some states is more probable than others. This is known as being in a superposition of all states. When the quantum system is observed, however, its wavefunction collapses so it consequently falls into one specific position. Moreover, in this chapter we present the simulation results of conduction band profile, electron density (classical and quantum mechanical), eigenstate and eigenfunctions for Si, SOI and III-V MOSFET structures at bias voltage 1.0 V using 1D Poisson-Schrödinger solver.",book:{id:"10076",slug:"quantum-mechanics",title:"Quantum Mechanics",fullTitle:"Quantum Mechanics"},signatures:"Aynul Islam and Anika Tasnim Aynul",authors:[{id:"316001",title:"Dr.",name:"Islam",middleName:null,surname:"Aynul",slug:"islam-aynul",fullName:"Islam Aynul"},{id:"325161",title:"BSc.",name:"Anika Tasnim",middleName:null,surname:"Aynul",slug:"anika-tasnim-aynul",fullName:"Anika Tasnim Aynul"}]},{id:"71547",title:"Dipolar Interactions: Hyperfine Structure Interaction and Fine Structure Interactions",slug:"dipolar-interactions-hyperfine-structure-interaction-and-fine-structure-interactions",totalDownloads:658,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"The interaction between the nuclear spin and the electron spin creates a hyperfine structure. Hyperfine structure interaction occurs in paramagnetic structures with unpaired electrons. Therefore, hyperfine structure interaction is the most important of the fundamental parameters investigated by electron paramagnetic resonance (EPR) spectroscopy. For EPR spectroscopy the two effective Hamiltonian terms are the hyperfine structure interaction and the electronic Zeeman interaction. The hyperfine structure interaction has two types as isotropic and anisotropic hyperfine structure interactions. The zero-field splitting term (electronic quadrupole fine structure), the nuclear Zeeman term, and the nuclear quadrupole interaction term are among the Hamiltonian terms used in EPR. However, their effects are not as much as the term of the hyperfine structure interaction. The zero-field splitting term and the nuclear quadrupole interaction term are the fine structure terms. The interaction of two electron spins create a zero-field splitting, the interaction between the two nucleus spins form the nuclear quadrupole interaction. Hyperfine structure interaction, zero-field interaction, and nuclear quadrupole interaction are subclasses of dipolar interaction. Interaction tensors are available for all three interactions.",book:{id:"10076",slug:"quantum-mechanics",title:"Quantum Mechanics",fullTitle:"Quantum Mechanics"},signatures:"Betül Çalişkan and Ali Cengiz Çalişkan",authors:[{id:"199110",title:"Dr.",name:"Betül",middleName:null,surname:"Çalişkan",slug:"betul-caliskan",fullName:"Betül Çalişkan"},{id:"208732",title:"Dr.",name:"Ali Cengiz",middleName:null,surname:"Çalişkan",slug:"ali-cengiz-caliskan",fullName:"Ali Cengiz Çalişkan"}]},{id:"73016",title:"Exactly Solvable Problems in Quantum Mechanics",slug:"exactly-solvable-problems-in-quantum-mechanics",totalDownloads:728,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Some of the problems in quantum mechanics can be exactly solved without any approximation. Some of the exactly solvable problems are discussed in this chapter. Broadly there are two main approaches to solve such problems. They are (i) based on the solution of the Schrödinger equation and (ii) based on operators. The normalized eigen function, eigen values, and the physical significance of some of the selected problems are discussed.",book:{id:"10076",slug:"quantum-mechanics",title:"Quantum Mechanics",fullTitle:"Quantum Mechanics"},signatures:"Lourdhu Bruno Chandrasekar, Kanagasabapathi Gnanasekar and Marimuthu Karunakaran",authors:[{id:"239576",title:"Dr.",name:"Marimuthu",middleName:null,surname:"Karunakaran",slug:"marimuthu-karunakaran",fullName:"Marimuthu Karunakaran"},{id:"252354",title:"Dr.",name:"Bruno Chandrasekar",middleName:null,surname:"L",slug:"bruno-chandrasekar-l",fullName:"Bruno Chandrasekar L"},{id:"325784",title:"Dr.",name:"K",middleName:null,surname:"Gnanasekar",slug:"k-gnanasekar",fullName:"K Gnanasekar"}]}],onlineFirstChaptersFilter:{topicId:"230",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:90,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:33,numberOfPublishedChapters:330,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:9,numberOfPublishedChapters:139,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:122,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:112,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:21,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:10,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:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. 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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. 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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. 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