Examples of bioremediation of organic contaminants in soil with bacteria species.
\\n\\n
IntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\\n\\nBy listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
\\n\\nAll three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\\n\\n"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
\\n\\n"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
\\n\\nIn conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\\n\\n“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\\n\\nWe invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\\n\\nFeel free to share this news on social media and help us mark this memorable moment!
\\n\\n\\n"}]',published:!0,mainMedia:{caption:"",originalUrl:"/media/original/237"}},components:[{type:"htmlEditorComponent",content:'
After years of being acknowledged as the world's leading publisher of Open Access books, today, we are proud to announce we’ve successfully launched a portfolio of Open Science journals covering rapidly expanding areas of interdisciplinary research.
\n\n\n\nIntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\n\nBy listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
\n\nAll three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\n\n"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
\n\n"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
\n\nIn conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\n\n“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\n\nWe invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\n\nFeel free to share this news on social media and help us mark this memorable moment!
\n\n\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"5291",leadTitle:null,fullTitle:"Metal-Organic Frameworks",title:"Metal-Organic Frameworks",subtitle:null,reviewType:"peer-reviewed",abstract:"The emerging and interesting field of MOF encouraged us to bring forth the book titled ''Metal Organic Frameworks''. The book is divided into three sections. Section A consists of introduction, Section B comprises the synthesis and characterization techniques, and Section C is dedicated to the applications of MOFs. The book would be useful for scientists and researchers interested in the field of MOFs.",isbn:"978-953-51-2663-8",printIsbn:"978-953-51-2662-1",pdfIsbn:"978-953-51-6680-1",doi:"10.5772/61907",price:119,priceEur:129,priceUsd:155,slug:"metal-organic-frameworks",numberOfPages:166,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"11a4acb20c880870e43c6f9dcf71e31e",bookSignature:"Fahmina Zafar and Eram Sharmin",publishedDate:"October 12th 2016",coverURL:"https://cdn.intechopen.com/books/images_new/5291.jpg",numberOfDownloads:18751,numberOfWosCitations:51,numberOfCrossrefCitations:17,numberOfCrossrefCitationsByBook:3,numberOfDimensionsCitations:54,numberOfDimensionsCitationsByBook:4,hasAltmetrics:1,numberOfTotalCitations:122,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"November 12th 2015",dateEndSecondStepPublish:"December 3rd 2015",dateEndThirdStepPublish:"March 22nd 2016",dateEndFourthStepPublish:"June 20th 2016",dateEndFifthStepPublish:"July 20th 2016",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"89672",title:"Dr.",name:"Fahmina",middleName:null,surname:"Zafar",slug:"fahmina-zafar",fullName:"Fahmina Zafar",profilePictureURL:"https://mts.intechopen.com/storage/users/89672/images/system/89672.png",biography:"Dr. Fahmina Zafar is a senior researcher working at the Department of Chemistry, JMI, New Delhi, India. Dr. Zafar has received her PhD (2006) and MSc (1999) degree in Chemistry from JMI. She has worked as a PI (DST WOS A), postdoctoral fellow (UGC Kothari Postdoctoral Fellowship) along with Scientist Pool, Research Associate, and Senior Research Fellow (CSIR) at the same Department. She has > 90 publications in peer-reviewed journals and books, and has presented >50 research papers in national and international conferences. Her research work involves the development of bio-based polymers, metallopolymers, organic-inorganic hybrids, coordination polymers, and nanocomposites for green environments in different fields including adsorption, antimicrobial, and corrosion-protective applications.",institutionString:"Jamia Millia Islamia",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"7",totalChapterViews:"0",totalEditedBooks:"4",institution:{name:"Jamia Millia Islamia",institutionURL:null,country:{name:"India"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:{id:"107375",title:"Dr.",name:"Eram",middleName:null,surname:"Sharmin",slug:"eram-sharmin",fullName:"Eram Sharmin",profilePictureURL:"https://mts.intechopen.com/storage/users/107375/images/system/107375.jpeg",biography:'Dr. Eram Sharmin is an Associate Professor at the Department of Pharmaceutical Chemistry, College of Pharmacy, Umm Al-Qura University, Makkah, Saudi Arabia. She obtained her Ph.D. degree in Chemistry from Jamia Millia Islamia (JMI) - A Central University, New Delhi, India, in the year 2007. She received her MSc degree in Organic Chemistry, in the year 2000, and BSc degree in Chemistry, in the year 1998, from Aligarh Muslim University (AMU), Aligarh, Uttar Pradesh (UP), India. She has previously worked as Senior Research Associate [Under Scientists’ Pool Scheme, Council of Scientific and Industrial Research (CSIR), New Delhi, India], Research Associate (CSIR, New Delhi), and Senior Research Fellow (CSIR, New Delhi), at Materials Research Laboratory, Department of Chemistry, JMI. She has more than 50 publications in peer-reviewed journals and books and has presented more than 30 research papers in national and international conferences. Her research interests include the development of "green” materials with applications as antimicrobial and protective coatings, films, hydrogels, and packaging materials.',institutionString:"Umm al-Qura University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"6",totalChapterViews:"0",totalEditedBooks:"1",institution:{name:"Umm al-Qura University",institutionURL:null,country:{name:"Saudi Arabia"}}},coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"938",title:"Coordination Chemistry",slug:"coordination-chemistry"}],chapters:[{id:"52190",title:"Introductory Chapter: Metal Organic Frameworks (MOFs)",doi:"10.5772/64797",slug:"introductory-chapter-metal-organic-frameworks-mofs-",totalDownloads:4772,totalCrossrefCites:6,totalDimensionsCites:28,hasAltmetrics:1,abstract:null,signatures:"Eram Sharmin and Fahmina Zafar",downloadPdfUrl:"/chapter/pdf-download/52190",previewPdfUrl:"/chapter/pdf-preview/52190",authors:[{id:"89672",title:"Dr.",name:"Fahmina",surname:"Zafar",slug:"fahmina-zafar",fullName:"Fahmina Zafar"},{id:"107375",title:"Dr.",name:"Eram",surname:"Sharmin",slug:"eram-sharmin",fullName:"Eram Sharmin"}],corrections:null},{id:"52076",title:"Interaction of Small Molecules within Metal Organic Frameworks Studied by In Situ Vibrational Spectroscopy",doi:"10.5772/64906",slug:"interaction-of-small-molecules-within-metal-organic-frameworks-studied-by-in-situ-vibrational-spectr",totalDownloads:2189,totalCrossrefCites:2,totalDimensionsCites:4,hasAltmetrics:0,abstract:"Molecular-level characterization of interaction between small gases and metal organic frameworks (MOFs) is crucial to elucidate the adsorption mechanism and establish the relationship between the structure and chemical features of MOFs with observed adsorptive properties, which ultimately guide the new structure design and synthesis for enhanced functional performance. Among different techniques, vibrational spectroscopy (infrared and Raman), which provides fingerprint of chemical bonds by their vibrational spectra, is one of the most powerful tools to study adsorbate-adsorbent interaction and give rich detailed information for molecular behaviors inside MOFs pores. This chapter reviews a number of exemplary works utilizing vibrational spectroscopy to study the interaction of small molecules with metal organic frameworks.",signatures:"Kui Tan and Yves Jean Chabal",downloadPdfUrl:"/chapter/pdf-download/52076",previewPdfUrl:"/chapter/pdf-preview/52076",authors:[{id:"182024",title:"Dr.",name:"Kui",surname:"Tan",slug:"kui-tan",fullName:"Kui Tan"},{id:"183655",title:"Prof.",name:"Yves",surname:"Chabal",slug:"yves-chabal",fullName:"Yves Chabal"}],corrections:null},{id:"51319",title:"Looking into Metal-Organic Frameworks with Solid-State NMR Spectroscopy",doi:"10.5772/64134",slug:"looking-into-metal-organic-frameworks-with-solid-state-nmr-spectroscopy",totalDownloads:2420,totalCrossrefCites:5,totalDimensionsCites:9,hasAltmetrics:0,abstract:"Nuclear magnetic resonance (NMR) spectroscopy is a powerful tool for characterization of materials. It can detect local structure around selected atomic nuclei and provide information on the dynamics of these nuclei. In case of metal-organic frameworks, NMR spectroscopy can help elucidate the framework structure, locate the molecules adsorbed into the pores, and inspect and characterize the interactions of these molecules with the frameworks. The present chapter discusses selected recent examples of solid-state NMR studies that provide valuable insight into the structure and function of metal-organic frameworks.",signatures:"Gregor Mali",downloadPdfUrl:"/chapter/pdf-download/51319",previewPdfUrl:"/chapter/pdf-preview/51319",authors:[{id:"183097",title:"Prof.",name:"Gregor",surname:"Mali",slug:"gregor-mali",fullName:"Gregor Mali"}],corrections:null},{id:"51425",title:"Molecular Simulations for Adsorption-Based CO2 Separation Using Metal Organic Frameworks",doi:"10.5772/64226",slug:"molecular-simulations-for-adsorption-based-co2-separation-using-metal-organic-frameworks",totalDownloads:2196,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Metal organic frameworks (MOFs) have received significant attention as a new family of nanoporous materials in the last decade. Variations in geometry, size, and chemical functionality of these materials have led to several thousands of different MOF structures. MOFs typically have high porosities, large surface areas, and reasonable thermal and mechanical stabilities. These properties make them ideal adsorbents for adsorption-based gas separations. It is not practically possible to test the adsorption-based gas separation potential of all available MOFs using purely experimental techniques. Molecular simulations can guide experimental studies by providing insights into the gas adsorption and separation mechanisms of MOFs. Several molecular simulation studies have examined adsorption-based CO2 separation using MOFs due to the importance of CO2 capture for clean energy applications. These simulations have been able to identify the MOF having the most promising CO2 separation properties prior to extensive experimental efforts. The aim of this chapter is to address current opportunities and challenges of molecular simulations of MOFs for adsorption-based CO2 separations and to provide an outlook for prospective simulation studies.",signatures:"Seda Keskin",downloadPdfUrl:"/chapter/pdf-download/51425",previewPdfUrl:"/chapter/pdf-preview/51425",authors:[{id:"106387",title:"Prof.",name:"Seda",surname:"Keskin",slug:"seda-keskin",fullName:"Seda Keskin"}],corrections:null},{id:"51884",title:"Classical Density Functional Theory for Fluids Adsorption in MOFs",doi:"10.5772/64632",slug:"classical-density-functional-theory-for-fluids-adsorption-in-mofs",totalDownloads:1762,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"The designing of metal organic frameworks (MOFs) requires an efficient method to predict its adsorption properties. The conventional method to do this is molecular simulation, which is time consuming. In contrast, classical density functional theory (CDFT) is a much more efficient tool. Recently, CDFT has been successfully applied to MOF adsorptions. In this chapter, we will introduce the development and the different versions of CDFT and show how to apply CDFT to predict fluid adsorption in MOFs. We have reviewed the recent applications of CDFT in MOF adsorption and mainly focused on material screening. According to the recent developments, it seems CDFT is an efficient and robust tool for material screening; how to deal with more complicated fluids is the challenge of current CDFT.",signatures:"Yu Liu and Honglai Liu",downloadPdfUrl:"/chapter/pdf-download/51884",previewPdfUrl:"/chapter/pdf-preview/51884",authors:[{id:"182639",title:"Dr.",name:"Honglai",surname:"Liu",slug:"honglai-liu",fullName:"Honglai Liu"},{id:"182987",title:"Prof.",name:"Yu",surname:"Liu",slug:"yu-liu",fullName:"Yu Liu"}],corrections:null},{id:"51866",title:"Metal‐Organic Frameworks and their Applications in Hydrogen and Oxygen Evolution Reactions",doi:"10.5772/64657",slug:"metal-organic-frameworks-and-their-applications-in-hydrogen-and-oxygen-evolution-reactions",totalDownloads:2537,totalCrossrefCites:2,totalDimensionsCites:4,hasAltmetrics:0,abstract:"The hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) play a vital role in many energy storage and conversion systems, including water splitting, rechargeable metal‐air batteries, and the unitized regenerative fuel cells. The noble‐metal catalysts based on Pt, Ir, and Au are the best electrocatalysts for the HER/OER, but they suffer from high price and scarcity problems. Therefore, it is urgently necessary to develop efficient, low‐cost, and environment‐friendly non‐noble metal electrocatalysts. Metal‐organic frameworks (MOFs) are crystalline materials with porous network structure. MOFs possess various compositions, large specific surface area, tunable pore structures, and they are easily functionalized. MOFs have been widely studied and applied in many fields, such as gas adsorption/separation, drug delivery, catalysis, magnetism, and optoelectronics. Recently, MOFs‐based electrocatalysts for HER/OER have been rapidly developed. These MOFs‐based catalysts exhibit excellent catalytic performance for HER/OER, demonstrating a promising application prospect in HER/OER. In this chapter, the concept, structure, category, and synthesis of MOFs will be first introduced briefly. Then, the applications of the MOFs‐based catalysts for HER/OER in recent years will be discussed in details. Specially, the synthesis, structure, and catalytic performance for HER/OER of the MOFs‐based catalysts will be emphatically discussed.",signatures:"Fengxiang Yin, Xiao Zhang, Xiaobo He and Hao Wang",downloadPdfUrl:"/chapter/pdf-download/51866",previewPdfUrl:"/chapter/pdf-preview/51866",authors:[{id:"182638",title:"Prof.",name:"FengXiang",surname:"Yin",slug:"fengxiang-yin",fullName:"FengXiang Yin"},{id:"186953",title:"Ms.",name:"Xiao",surname:"Zhang",slug:"xiao-zhang",fullName:"Xiao Zhang"},{id:"186954",title:"Dr.",name:"Xiaobo",surname:"He",slug:"xiaobo-he",fullName:"Xiaobo He"},{id:"186955",title:"Dr.",name:"Hao",surname:"Wang",slug:"hao-wang",fullName:"Hao Wang"}],corrections:null},{id:"51337",title:"Bio-Inspired Metal-Organic Frameworks in the Pharmaceutical World: A Brief Review",doi:"10.5772/64027",slug:"bio-inspired-metal-organic-frameworks-in-the-pharmaceutical-world-a-brief-review",totalDownloads:2877,totalCrossrefCites:2,totalDimensionsCites:7,hasAltmetrics:0,abstract:"One of the great challenges in the pharmaceutical industry is the search for more efficient and cost-effective ways to store and deliver existing drugs. Bio-inspired metal-organic frameworks (BioMOFs) are groundbreaking materials that have recently been explored for drug storage, delivery and controlled release as well as for applications in imaging and sensing for therapeutic and diagnostic. This review presents a brief overview on these materials, and by alluding to a few reported examples, it intends to clearly show the extremely important role that BioMOFs have been playing in the pharmaceutical field.",signatures:"Vânia André and Sílvia Quaresma",downloadPdfUrl:"/chapter/pdf-download/51337",previewPdfUrl:"/chapter/pdf-preview/51337",authors:[{id:"183115",title:"Dr.",name:"Vania",surname:"Andre",slug:"vania-andre",fullName:"Vania Andre"},{id:"187001",title:"MSc.",name:"Sílvia",surname:"Quaresma",slug:"silvia-quaresma",fullName:"Sílvia Quaresma"}],corrections:null}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},subseries:null,tags:null},relatedBooks:[{type:"book",id:"2003",title:"Polyurethane",subtitle:null,isOpenForSubmission:!1,hash:"7391b5a0085d7c0aa0a5c75ee6f275b2",slug:"polyurethane",bookSignature:"Fahmina Zafar and Eram Sharmin",coverURL:"https://cdn.intechopen.com/books/images_new/2003.jpg",editedByType:"Edited 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The oil refinery industry is involved in the global processes of exploration, extraction, transporting (often with oil tankers and pipelines), and marketing petroleum products. The products of largest volume of the industry are oil and gasoline [1, 2]. Crude oil and petroleum are also the raw materials for many chemical products, including pharmaceuticals, solvents, fertilizers, pesticides, and plastics. Oil and its derivatives (such as polycyclic aromatic hydrocarbons, PAHs) are among very significant and dangerous sources of ecosystem contaminants. Oil derivatives that contaminate soil are a threat to human health as well as a hazard to all living beings [2].
\nPolycyclic aromatic hydrocarbons (PAHs) are a large group of carcinogenic compounds emitted into the atmosphere by incomplete combustion of fossil fuel or biomass. As semi‐volatile chemicals, PAHs can be transported over long distances in the atmosphere. In general, 3‐4‐5 ringed PAHs are largely predominant in air wherever the sampling was established, whether in rural, suburban, or urban areas. PAHs can pass from air to water, soil, and vegetation, through dry gaseous, dry particle‐bound, and wet depositions [3]. They are persistent in various environmental media and can subsequently enter the food chains. Nowadays, it is well known that human exposure mainly occurs by ingestion of contaminated agricultural and natural food [4, 5]. Using plant in bioremediations is more popular and common. Plants are capable of accumulating PAHs from the soil, water, and air. In the ryzosphere of plants, we have a very higher activity of microorganism capable of using PAHs as the only source of carbon and energy [2, 5, 6].
\nThe main source of hydrocarbons (PAHs) is incomplete combustion of organic different material. Polycyclic aromatic hydrocarbons are colorless, white, or yellow solids. They present low solubility in water and also low vapor pressure [7]. They arise mainly from anthropogenic sources (forest fires, oil seeps, and volcanic eruptions). Other sources of PAHs are burning of fossil fuel, coal tar, wood, oil derivatives, petroleum spills, and discharge. These substances are very toxic, mutagenic, and carcinogenic [8]. The remediation and bioremediation of PAHs are very longer and technically hard. Their persistence in soil increases with increase in molecular weight of PAHs. It is estimated that more than 90% of the total burden of oil derivatives such as PAHs reside in the surface layer of soils where they accumulate the most. Recent determinations of PAHs in agricultural soils in Poland indicate that the content of these contaminants in the majority of the soils is low but in long‐term contaminated soils, this content is very higher [9, 10].
\nSeveral techniques of remediation of PAHs are known: volatilization, photooxidation, chemical oxidation, adsorption on soil particles, and microbial biodegradation. The main popular techniques are expensive and very time‐consuming. Otherwise, the effect of that remediation in many cases transfers the pollutant from one phase (soil, water, or air) to another [2, 4].
\nBioremediation process is much less dangerous, and the results (products) of this process are safe for the environment such as inorganic minerals, H2O, CO2 (aerobic), or CH4 (anaerobic) [1, 11].
\nMicrobes are known for their catabolic activity in bioremediation, but changes in microbial communities are still unpredictable [1, 11]. The most popular PAH‐degrading microorganisms are bacteria and fungi. The bioremediation of PAHs very often depends on the environmental conditions (climates, number and type of the microorganisms, soil structure, plants). The extent of biodegradation process depends on many biotic and abiotic factors, including pH, temperature, oxygen, microbial population, degree of acclimation, accessibility of nutrients, chemical structure of the compound, cellular transport properties, and chemical partitioning in growth medium [2, 4, 12].
\nOverall, PAHs are immobile and persistent in soil and also more difficult to extract. PAHs are less accessible to living organisms (microorganism) when they come in contact with the aggregate soil structure [2]. There are many methods used to clean up PAH and oil derivatives in contaminated soils, but bioremediation using bacteria and fungi consortium is most popular [1, 2, 8].
\nHowever, molecular methods have been used to study soil bacterial communities in contaminated soil with PAHs and oil derivatives. While many anthropogenic activities, such as city development, agriculture, and use of pollution, can potentially affect soil microbial diversity, it is unknown how changes in microbial diversity can influence below‐ground and above‐ground ecosystems. The study of bacterial diversity in soil contaminated with PAHs has some problems. The problems arise not only from the methodological limitations, but also from a lack of taxonomic knowledge. This studies focuses on whole groups of microorganism (bacteria and fungi) and its function in in the contaminated sites.
\nMicroorganisms have some potential as an effective and inexpensive mean to remediation of contaminated soils [13]. The successful application of bioremediation techniques (bioaugmentation, phytoremediation) is largely dependent on the some capacity of plant growth‐promoting microorganisms to efficiently colonize growing plants roots [14].
\nBacteria are the class of microorganisms actively involved in the degradation of organic pollutants from contaminated sites especially from soils rhizosphere [13, 14]. A number of bacterial species are known to degrade PAHs (shown in Table 1). These bacteria very often are isolated from contaminated soil and have special potential to degradation of oil derivatives. The most carcinogenic and toxic from PAHs is benzo(a)pyrene. This hydrocarbon is a model contaminate in bioremediation study. Bacteria which can degrade benzo(a)pyrene grow well on alternative carbon source in liquid culture experiments [19–21].
\nOther authors [22] observed a 5 % decrease in benzo(a)pyrene concentration after 168 h during incubations with
Bacteria | \nPlant | \nContaminant | \nRole of bacteria | \nRef. | \n
---|---|---|---|---|
Wheat | \nCrude oil | \nPromoted development of wheat root system enhanced level of oil degradation | \n[14] | \n|
Tall fescue | \nPolycyclic aromatic hydrocarbons (PAHs) | \nIncreased plant tolerance to PAHs | \n[15] | \n|
Promoted plant growth under stress | \n||||
Meadow fescue Maize Winter rye | \nPolycyclic aromatic hydrocarbons (PAHs) Crude oil | \nPromoted development of plant root system enhanced level of oil and PAH degradation | \n[9, 10] | \n|
Increased plant tolerance to PAHs | \n||||
Tall fescue | \nTotal petroleum Hydrocarbons (TPHs) | \nPromoted plant growth in the presence of environmental contaminants such as TPHs | \n[14] | \n|
Wheat | \nTrichloroethylene (TCE) | \nDegraded TCE with toluene o‐monooxygenase | \n[16] | \n|
Alfalfa | \nPolychlorinated biphenyls(PCBs) | \nMore effectively metabolized PCBs with bph gene cloned | \n[17] | \n|
Arabidopsis | \nPCBs | \nUtilized plant secondary metabolites | \n[18] | \n
Examples of bioremediation of organic contaminants in soil with bacteria species.
Microbial degradation is the mean to remove PAHs from contaminated soils, especially using strains of bacteria which are able to degrade PAHs and using them as a source of carbon and energy and fix free nitrogen such as the strains of
Diazotrophic bacteria such as
Soil microorganisms play a big roles in various biogeochemical cycles and are responsible for the cycling of organic compounds especially oil derivatives and polycyclic aromatic hydrocarbons. Also they influence above‐ground ecosystems by contributing to plant nutrition, plant health, soil structure, and soil fertility. Our knowledge on soil microbial diversity is limited in part by our inability to study soil microorganisms. It is known that in 1 g of soil there are 1030 different soil microorganisms [30]. Only 1% of this soil bacterial population can be cultured by classical methods. About 99% is unknown, and this group of microorganism is possible to measure only in using molecular methods [31, 32].
\nVarious molecular methods have been used to study soil bacterial communities. Many biotic and abiotic factors play a big role to changes in microbial diversity (contamination, anthropogenic activities, plant growth). It is not known how changes in microbial community structure influence ecosystem functions. Study of microorganisms function is the need for reliable and accurate mechanisms of understanding their diversity and taxonomic [33–35].
\nTypically, diversity studies include the relative diversities of communities across a gradient of stress, disturbance, or other biotic or abiotic difference [35]. It is difficult with current techniques to study true diversity since we do not know what is present and we have no way of determining the accuracy of our extraction or detection methods. Species diversity consists of species richness, the total number of species present, species evenness, and the distribution of species [32].
\nMethods to measure microbial diversity in soil can be categorized into two groups: biochemical‐based techniques and molecular‐based techniques. But more common for studying microbial diversity in soil contaminated with polycyclic aromatic hydrocarbons are the molecular methods.
\nMolecular techniques based on polymerase chain reaction (PCR) have been used to overcome the limitations of culture‐based methods; however, they are not without their own limitations [32, 34].
\nSoil microorganisms (especially bacteria) are located between soil aggregates. There is a very big problem with separating these from micro‐ and macro‐components of soil structure. The study bacterial biodiversity requires isolated genomic DNA from bacterial cells [35]. This process is dependent on bacterial cells (gram‐negative or gram‐positive bacterial cells). Gram‐negative cells would be lysed when the cell extraction is sensitive, but the gram‐positive cells may be lysed in stronger conduction, but in this case DNA may be disintegrated [32]. The special method of DNA or RNA extraction from bacterial cells used can also bias biodiversity studies. The harsh and drastic DNA extraction methods (bead beating) can shear the nucleic acids, leading to some problems in subsequent PCR detection products [36]. With soil samples, it is necessary to remove some inhibitory substances (fulvic acids, humic acids). These substances can be coextracted and can strongly interfere with subsequent PCR and analysis. Second step of analysis can lead to loss of DNA or RNA inhibitory of PCR. The most popular in bacterial biodiversity studies are primers which targeted typical regions coding genes present in all organisms such as 16S rRNA or ITS (internal transcribed spacer). This genes have well‐defined regions for taxonomic classification of bacteria and are not subject to horizontal transfer and have sequence databases available to researchers.
\nMany authors [32, 34, 36, 37] discussed some issues surrounding differential PCR amplification including different affinities of primers to templates, different copy numbers of target genes, hybridization efficiency, and primer specificity. In addition, some sequences with lower G+C content are thought to separate more efficiently in the denaturing step of polymerase chain reaction and therefore could be preferentially amplified [32, 34]. There are known a few important points in optimalization of PCR such as amplification including different affinities of primers to templates, different copy numbers of target genes, hybridization efficiency, and primer specificity. The above discusses a few limitations of molecular‐based methods, which can influence the analysis and interpretation of their community analysis. Molecular‐based methods provide valuable information about the microbial community as opposed to only culture‐based techniques.
\nThe molecular methods of study bacterial diversity include some methods profiling of soil microbial communities, based upon culture‐independent techniques (cloning, fingerprinting techniques, automated ribosomal intergenic spacer analysis (ARISA), or terminal/restriction fragment length polymorphism (TRFLP, RFLP) (Table 2) [32, 34, 35, 74, 73].
\n\nApplication of these techniques yields information that can be used to assess how environmental factors contribute to changes in microbial community structure. Although a considerable amount is known about how culturable bacteria respond to anthropogenic agents, little is known about how organic compounds influence the structure of soil microbial communities in situ. It has been suggested that microbial community structure in polluted environments is influenced by the complexity of chemical mixtures present and time of exposure and is thought generally to lead to a reduction in microbial diversity. We do not know why the amount of PAH contamination together with the PAH compound present significantly affected microbial community structure in PAH‐contaminated soils [35, 37].
\nDNA hybridization is a measure of genetic complexity of the microbial/bacterial community and has been used to estimate diversity in soil contaminated. The similarity between communities of two different samples can be studied by measuring the degree of similarity of DNA through hybridization kinetics [39]. Nucleic acid hybridization using specific probes is an important qualitative and quantitative tool in molecular bacterial ecology. These hybridization techniques can be done on extracted DNA or RNA, or
Method | \nAdvantages | \nRef. | \n
---|---|---|
G+C content | \nNot influenced by PCR biases | \n[38] | \n
Includes all DNA extracted | \n||
Quantitative | \n||
Includes rare members of community | \n||
DNA hybridization | \nSame as nucleic acid hybridization Thousands of genes can be analyzed | \n[39] | \n
If using genes or DNA fragments, increased specificity | \n||
Denaturing and temperature gradient gel electrophoresis (DGGE/TGGE) | \nLarge number of samples can be analyzed simultaneously | \n[40, 41] | \n
Reliable, reproducible, and rapid | \n||
Restriction fragment length polymorphism (RFLP) | \nDetect structural changes in microbial community | \n[42] | \n
Terminal restriction fragment length polymorphism (T‐RFLP) | \nSimpler banding patterns than RFLP | \n[42] | \n
Can be automated; large number of samples | \n||
Highly reproducible | \n||
Compare differences in microbial communities | \n||
Ribosomal intergenic spacer analysis (RISA) and automated ribosomal intergenic spacer analysis (ARISA) | \nHighly reproducible community profiles | \n[43] | \n
Advantages of some molecular‐based methods to study soil microbial diversity.
The known sequences of some oligonucleotide/polynucleotide probes ranging in specificity from domain to species can be tagged with markers at the 5\'‐end of DNA. The most popular markers are fluorescent markers that include derivatives of fluorescein or rhodamine. Quantitative dot‐blot hybridization methods are used to measure the relative abundance of the special group of microorganisms (bacteria). In these methods, samples (bacterial culture) are lysed to release all nucleic acids. In dot‐blot hybridization with specific and universal oligonucleotide primers, the rRNA sequences are quantified relative to total rRNA [32, 34, 35]. The changes in the activity and hence the amount of rRNA content or changes in the abundance in the population may represent the relative abundance is samples. Hybridization methods of studying bacterial biodiversity can also be conducted at the cellular level and can be done in situ (valuable spatial distribution information on microorganisms in environmental sample) [34]. The method, known as fluorescent in situ hybridization or FISH (fluorescence in situ hybridization), has been used successfully to study the spatial distribution of bacteria in biofilms [39]. The lack of sensitivity is the most limited point in the methods such as in situ hybridization or hybridization of nucleic acids extracted directly from soil samples. The some unless sequenced are present in very high copy and there are not detected in this methods. Polymerase chain reactions the methods which there is no this problem. DNA extracted directly from soil samples can act as a template for PCR or mRNA and can be reverse‐transcribed into cDNA and then amplified using standard PCR methods [31, 32]. The use of mRNA in biodiversity studies will allow a snapshot of the active bacterial population in contaminated soil, whereas DNA extracted directly from this samples can represent active as well as dormant bacteria. The amplified PCR product can be hybridized with either oligonucleotide probes to provide specific information on the bacterial community in contaminated soil or with other samples to which bacterial community similarity is compared [35]. The PCR targeting the 16S rDNA has been used extensively to study prokaryote (bacteria) diversity and allows identification of prokaryotes as well as the prediction of phylogenetic relationships [26]. Initially, molecular‐based methods for ecological studies relied on cloning of target genes isolated from environmental samples [44]. Although sequencing has become routine, sequencing thousands of clones is cumbersome [45].
\nThe property of double‐stranded DNA molecules allowing their separation in an electric field is used in many electrophoretic techniques. A standard electrophoresis consists in separating the DNA molecules by size. For this purpose, the agarose gel is prepared with the appropriate concentration, typically from 0.5 to 2%, and is connected to constant electric field. The DNA molecules pass through the small spaces within the gel and migrate at different rates depending on their size [46]. As a result, towards the end of the gel we observe DNA fragments of smaller sizes (less base pairs), and the large fragment will move slower, remaining closer to the top. In this way, it is possible to know the approximate size of the analyzed fragments [See Figure 1, gel on the left]. However, this method cannot be used to distinguish between each of the DNA molecules of the same size, differing only in the nucleotide sequence. The solution was developed in 1987 (See [47]). Method called denaturing gradient gel electrophoresis(DGGE) is based on the fact that only double‐stranded DNA fragments move in the electric field, whereas single‐stranded not have such ability, or at least their mobility is strongly reduced. Denaturation of the double‐stranded structure of DNA into single strands is accomplished by treatment DNA using high temperature and denaturing agents, usually a mixture of formamide and urea [48]. The specific temperature and concentration of denaturant in which the DNA is denatured, also known as the melting point of DNA, are dependent on nucleotide sequence. This correlation means that even a single base mutation can change the melting point of DNA. What is important in understanding the phenomenon, it is not only the influence of bonds between paired bases, but also the interaction between neighboring pairs [49, 70]. This makes it possible to distinguish DNA fragments of the same size but with different nucleotide sequence [See Figure 1, gel on the right].
\nDGGE electrophoresis is usually performed at a constant temperature (usually 60°C) in the presence of two denaturing agents: formamide and urea, the concentration of which depends on the experiment and analyzed fragments. The analysis is carried out in polyacrylamide gel (6–12%), which consists of a mixture of acrylamide and bis‐acrylamide, usually in a 37.5:1 ratio [50]. This polymer is resistant to high temperatures and denaturing agents, and also creates the appropriate pores through which DNA can easily migrate. It is also characterized by a much higher resolving power with respect to agarose [51].
Comparison of agarose electrophoresis and DGGE. The letter M represents size marker of the DNA; the letters a–c are designations of samples. The same PCR products were placed on both gels for comparison.
Gel preparation and electrophoresis are in a vertical orientation, where the top of the gel is the lowest concentration of denaturing agents (usually from 0 to 30%) and the bottom of the gel fills the highest concentration (usually 50–80%). Between the extreme values, the concentration of denaturing agents creates an increasing gradient. Throughout the run electrophoresis is supplied a constant voltage, typically about 60V for 16 h [52]. In some cases, it can be applied a higher voltage of 130–150 V for 3–6 h, while the bands are then more blurred [53, 54]. This affects the image of electrophoresis. Electrophoresis in the gradient of denaturant allows the rapid identification of the different variants of genes (alleles), detection of mutations in medicine, and an overview of genetic diversity in any environment. Many studies using DGGE method is used for rapid diagnosis of disorders of human microbiota [55, 56] or to analyze the change in the composition of the bacteria in the fermenters or other dynamic biological systems [57]. DGGE limitation is the selection of appropriate fragments of DNA for analysis. This method keeps its resolving power in fragments size between 100 and 500 bp. The analyzed DNA fragments are always PCR products–amplicons, typically including the hypervariable regions of the 16S rDNA gene (in the case of bacteria) or ITS (internal transcribed spacer) in the case fungi. The ITS regions are situated between the small and large subunits of the ribosomal rDNA. The advantage of choosing these regions is the presence of both conservative and those highly variable sequences [58, 71, 72].
\nDGGE method has been known for more than 30 years but is continually improving. The first enhancement was the introduction of the GC‐clamp. This is 20‐ to 60‐nt‐long DNA fragment that is added to one of the primers for PCR and contains only the G and C bases. It has been found to increase resolving power of the method by maintaining a small fragment of double‐stranded structure, even at high temperatures (almost 100°C) and in high concentrations of denaturant [59].
\nAnother improvement of the method is the use of specific markers (as a references). This involves selecting the reference strains of known origin and certified taxonomy, and then isolating the DNA. The next step is to prepare DGGE‐PCR amplicons. Appropriately prepared amplicons are placed in an empty well of the polyacrylamide gel as a reference. Taking advantage of markers, it is possible to normalize gels and then compare different experiments with each other. The second application is to compare the quality and the quantity of bands in the analyzed wells, with those in the well marked as a reference in order to classify and the species composition in the sample, as well as their abundance [60].
\nIt should be noted that this method has a broad spectrum of applications, from medicine to the currently developing metagenomics, and provides a complementary tool to traditional classical methods of exploring the composition of microorganisms. Although it does not provide as comprehensive and complete results as sequencing, the costs of its implementation and the time in which you can get to know the preliminary results are much smaller. This is a very good method for the presumptive identification of microorganisms as well as continuous monitoring of changes in the composition of microbial communities such as contaminated soil, water, bioreactors, or the composition of the human microflora.
\nIt is worth mentioning also the limitations of DGGE. First of all, this method is based on PCR; therefore, the selection of appropriate conditions but also suitable polymerase is a key issue. Most of the problems with this method stems from mistakes at this stage. Polymerase chain reactions is always associated with the possibility of introducing errors by altering the genetic profile in the investigated samples. Occasionally, PCR products from different organisms, despite differing nucleotide sequences, may also have the same melting point. This causes the risk of missing some of the bands on the gel. On the other hand, there is a risk of nonspecific products in PCR (e.g., as a result of amplification of the chloroplast or mitochondrial DNA) to give false results. Often, in order to avoid such a situation there can be applied several‐step PCRs (e.g., nested PCR), as well as touchdown PCR which is known to increase the specificity of the reaction [61].
\nNext‐generation sequencing (NGS), otherwise high‐throughput sequencing, resulted in a breakthrough in the automation and commercialization of the sequencing process.. In 2000, the company Lynx Therapeutics launched the first fully automated sequencing apparatus, the principle of which was still based on the Sanger method. In 2004, the company 454 Life Sciences has developed and successfully launched the sale of second‐generation sequencer, which used discovered in 1996 pyrosequencing method. In addition to the huge success in the prevalence of the device, the cost of sequencing decreased sixfold in comparison with the device from 2000 [62, 63].
\nHigh‐throughput sequencing is probably the fastest growing method used in the biology and biotechnology. To date emerged a series of modifications which resulted in the development of equipment relatively cheap and efficient.
\nOn the market, there is a large selection of sequencing systems introduced by many other companies, but this chapter focuses on Illumina sequencing system. It is the most common method in the study of metagenomes different environments. Due to the a very dynamic development of the technology described herein, performance data and bandwidth become outdated several times a year.
\nDNA prepared for sequencing must meet several requirements. First of all, it must be free from contamination and PCR inhibitors such as humic acids, ethanol, and phenol compounds. A very important and crucial step in the preparation of biological samples is appropriate for DNA extraction and its purification. Commercially available kits provide high‐performance elution of DNA, contain enzyme (such as DNase) inhibitors, and allow getting rid of impurities.
Cluster formation in Illumina NGS sequencing.
An important advantage is the ability to simultaneously sequencing of many samples at the same time. This is done by marking samples by attaching specific, short DNA fragments of known sequence treated as barcodes. The principle of the sequencing uses fluorescently labeled nucleotides. During the attachment of one nucleotide, generation of a light signal occurs and the reaction is temporarily blocked. After registration signal, a fluorescent label is cleaved enzymatically allowing the connection of the next nucleotide. Each of the nucleotides (A, T, C, G) has a different type of fluorescent label recognized as a different wavelength. DNA is immobilized on the surface of the flow cell, which allows direct and equal access of polymerase to each of the each DNA molecule [64]. At a distance of less than one micron, there are more than a thousand copies of the same DNA fragments to form one cluster. Different DNA fragments form separate clusters, allowing for simultaneous sequencing of millions of DNA fragments [Figure 2].
\n\n\nThe parameters of current devices are extremely high. Within 24 h, around 5 Gb (giga bases) of reads can be obtained, when reading 200–300 bp fragments (V3‐V4 hypervariable regions for example). With exceptionally large genomic projects, there can be used the device with the highest performance (HiSeq series) allowing to generate up to 1 Tb of data within a few days [65].
\nNext‐generation sequencing in combination with other molecular methods (including DGGE) is a very complex and indispensable method of testing microbiomes and the ecological. Metagenomic approach to the knowledge of the biodiversity present in difficult conditions, such as contaminated soil or sewage, sells out all other known methods, allowing the examination of not only a fraction of microorganisms, but also discovering new, previously unknown species [66–68].
\n\nThe better understanding of the link between bacterial diversity and their community structure and function is very important to study microbial diversity in contaminated soil. This is not only important for basic scientific research but also to study biodiversity in soil contaminated with PAHs. Significantly higher amounts of 16S rRNA have been found in all microbial groups analyzed in fields that have never been cultivated than agricultural fields and also in soil contaminated with PAHs. This suggests a decrease in bacterial biomass or activity in cultivated fields. However, it is unknown what these reductions in diversity mean to ecosystem functioning, and it is important for the sustainability of ecosystems to examine and better understand the link between diversity and function. There are some limitations associated with studying organisms in contaminated soil. There are some taxonomic and methodological limitations. The methods to study bacterial diversity (numerical, taxonomic, structural) are improving for some group of bacteria and fungi. It is generally thought that a diverse population of microorganisms will be more resilient to biotic and abiotic stress and more capable of adapting with environmental changes (contamination). The knowledge of plant–microbe–soil‐contaminant interactions is increasing, but the complexity of interacting biological, chemical, and physical factors means that much remains to be understood.
\nAs new techniques are developed, our level of understanding increases and our knowledge expands.
\nThe research was conducted within the frames of Task 1.4. Evaluation and formation of biodiversity of soil and microbial activity of soil with regard to habitat conditions and management system. Multi—Annual Programme IUNG—PIB 2016—2020.
A wireless sensor network (WSN) is made up of a set of sensor devices (nodes), which are usually powered by batteries to operate and interconnected through radio links to assure data transmission, processing, and reception. In general, WSNs have a significant potential in different applications in the areas of medical sciences, telecommunications, agriculture, environmental sciences, military services, and surveillance. The increasing demand on the deployment of autonomous sensor nodes and extending the sensor network lifetime can therefore be considered among the main objectives through examining interesting methods and research studies, which optimize the WSN energy consumption, and proposing methods to improve it. These methods can include several action levels that can range from the deployment stage to the information processing and manipulation stage [1].
In general, WSN is a combination of distributed self-governing sensor nodes, which monitor environmental and physical certain conditions, for instance: monitoring humidity, temperature, pressure, etc., and transfer such data through multihop network to the base station. WSN is considered as attractive solutions for many applications in fields [2, 3, 4, 5, 6, 7, 8, 9]. Figure 1 depicts an environmental sensor nodes deployed in a forest area, where sensor nodes may transmit the sensed data through multihop communication to the sink node (base station). The energy capability for the sensor nodes allows them to work autonomously and can communicate with other nodes through radio waves through the establishment of the routing mechanisms [10].
Energy management.
Recently, an intensive research has studied and addressed the energy consumption issue in WSNs, as the sensor networks have been employed in various types of applications, where it is difficult in certain cases to replace or recharge the attached battery source. In addition, sensor nodes are expected to work from months to a few years. Therefore, it is significant to develop an energy efficient hardware and software components to allow the WSNs to operate for the maximum period of time. This chapter focuses on the power management issue in WSNs and discusses several power management schemes that aim to minimize the power consumption for sensor nodes.
The rest of this chapter is organized as follows: Section 2 discusses the energy management issue in WSNs, whereas Section 3 presents the energy management strategies that can be adopted to minimize the power consumption for sensor nodes in the WSN. And, finally, Section 4 concludes the work presented in this chapter.
This section discusses the main energy management considerations when designing or developing an algorithm for WSNs. In general, a sensor network consists of a sensor nodes linked to each other using wireless communication protocol. Usually, a sensor network involves various types of nodes with different capabilities (memory size, on-board battery capacity, and processor speed). For instance, Figure 2 shows a sensor network with three different types of nodes (coordinator, router, and end-device) that exist in the ZigBee communication protocol. Usually, a single coordinator is required to start and coordinate the WSN, whereas a number of active routers are required to forward sensed data in the WSN through multihop communication, and a large number of end-device nodes are expected in the WSN, where end-device node may go to sleep mode.
Mesh WSN with three different sensor nodes.
According to the different energy consumption levels in the WSN based on the type of sensor node that employed in the area of interest, it is important to study the field of energy management to minimize the power consumption for sensor network. As presented in Figure 3, the energy management is based on two main considerations: energy consumption and energy provision. The former focuses on the operations and devices that deplete the energy through performing transmission, reception, and data processing, whereas the later intends to discover different methods for supplying the sensor node with the required energy source in order to allow the WSN to operate as long as possible.
Energy management in WSN.
The energy provision is further classified into: battery-driven, transference, and harvesting. The battery-driven classification is based on the deployment of a battery source for powering the sensor node, whereas the battery might be replaceable, fixed, or rechargeable. The transference classification employs such methods for transferring energy from the source to the sensor node (destination), for instance, the employment of microwaves and radio frequency energy. The harvesting-based classification uses for instance energy from solar, wind, thermal, etc.
On the other hand, there are huge efforts have been made to design and implement an efficient energy management schemes to save the limited energy available for each sensor node. The energy consumption can be further classified into: duty-cycling, mobility-based, and data-driven. Through the duty cycle method, the sensor node can alternate between sleep and active modes in order to minimize the power consumed in the active mode. In the mobility-based method, a mobile node is employed to collect the sensed data from stationary sensor nodes, and therefore minimize the power consumed in multi-hop forwarding of data. The data-driven methods are based on prediction and aggregation algorithms to minimize the power consumed in the transmission process.
Energy management involves saving the onboard energy of sensor nodes in order to allow the sensor node to operate for the maximum lifetime possible. Through studying and analyzing the available literature, it is important to categorize the energy management schemes into four main categories as presented in Figure 4.
Classification of different management energy methods for WSNs.
Battery management includes exploiting the internal characteristics of batteries to evoke their charge in order to maximize the sensor node lifetime. Therefore, in this section the battery management schemes are considered in two ways of views: node energy management and energy balancing.
Node energy management aims to allow sensor nodes to operate permanently in the WSN. Authors of [11] explored the Dynamic Power Management (DPM) strategy in WSNs that established the sleep and active modes for power management. DPM minimizes the energy consumption for each sensor node with the help of micro-operating embedded system. Moreover, several research works [12, 13, 14, 15, 16, 17] have focused on the DPM in order to reduce the energy consumption for each sensor node, hence maximizing the WSN throughput.
The energy balancing schemes on the other hand achieve a balance between the energy generation and the energy consumption. For longer WSN lifetime, the efficient and balanced power consumption is highly important. For instance, authors of [18] presented a solution for insufficient energy problem in the sensing unit and excessive usage of power in transmission unit for sensor nodes through setting up a decent harmony among them to prolong throughput up to some extent. In addition, several research works have focused on the energy balancing scheme [19, 20, 21, 22].
In general, data transmission is considered as the most power consumption module with comparison to sensor node’s other modules. The transmission power management schemes can be categorized into three main categories as follows: Medium Access Control (MAC) layer management, routing policies.
The MAC layer management schemes are adopted the MAC protocol to minimize the power consumption for the sensor nodes. MAC protocol is considered as the bottom segment protocol for network communication in WSNs. Several research works [23, 24, 25, 26, 27] have explored the divergent MAC protocols for enormous applications of WSNs.
The routing protocols on the other hand aim to set up the best link between the source node and the destination node, without compromising some major performance character tics. Routing protocols focus on the power saving, where several routing protocols and systems [28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39] have been developed and implemented for forwarding data in WSN to reach the destination or the sink node.
The system power management schemes are accomplished in the processor unit using power and device management strategies. The substantial dropping in power consumption offers efficient hardware design. Moreover, the power consumption might be further minimized by some other features including turning-off the sensor node over idle situations or operating in power-saving mode. The system management schemes involve processor power management and device management.
Generally, the power consumption of the sensor node’s processor is affected by several parameters including: processor clock speed and the number of command executed per unit time. The processor power management strategy tries to minimize the number of performed calculations and the processor’s power consumption. Several research works [40, 41, 42] have adopted various power management methods, for instance: employing the power saving mode to minimize the power consumption of a certain sensor node in the WSN.
On the other hand, using intelligent mobile sensor nodes, the power management can minimize power usage considerably. The design and development of the sensor node hardware have been proposed for device management schemes, which minimize the energy consumption. Through this management technology, the intelligent device employs an operating system that aims to reduce the power consumption using various power saving modes according to the sensor node’s energy usage. Several device management systems for WSNs have been proposed recently [43, 44, 45, 46, 47, 48] with various functionalities and outcomes.
This subsection discusses other WSN management systems including: load balancing, duty cycling, and mobility-based systems.
Load balancing includes managing power usage of the transmission segment. Several data clustering approaches [49, 50, 51, 52, 53] have been developed to extend the WSN lifetime and enhance the network throughput, where a cluster head is elected in order to collect, aggregate, and then transmit the sensed data to the base station. In general, cluster-based approaches significantly minimize the power consumption for WSNs. Figure 5 shows the concept of dividing the sensor nodes in a WSN into groups, where a cluster head is selected to each sensor group. The role of the cluster head is to collect data from sensor nodes in its group, aggregate, and transmit the collected data to the sink node (base station).
Clustering concept in WSN.
Duty cycling management schemes manage the power consumption to extend the WSN lifetime. Duty cycling approaches play a key role in enhancing the energy consumption and the WSN lifetime. Several algorithms have been proposed [54, 55, 56, 57, 58, 59] that estimate the duty cycle for each sensor node by switching among wakeup and sleep modes in order to minimize the total power consumption for each sensor node.
The mobility-based approaches consider employing mobile sensor nodes to attain energy conservation in the WSN. In WSNs, the mobile nodes are employed to collect the sensed data from stationary sensor nodes distributed over the area of interest. Many research works [60, 61, 62, 63, 64, 65, 66, 67, 68] have conducted employing mobile sensor nodes in their studies, with the aim of minimizing the power consumption for fixed sensor nodes and minimize the multihop commination over the WSN. Figure 6 presents the concept of employing a mobile robot node in the WSN field.
Employment of mobile nodes to collect the sensed data.
A WSN is made up of a set of sensor nodes that are supplied by batteries to operate and interconnected using radio links to guarantee reception, processing, and transmission. Energy consumption is a critical issue in WSNs. Various significant challenges have been overcome to maximize the WSN lifetime, and hence increase the WSN throughput. This chapter discusses several energy management solutions for WSNs, ranging from deployment and connectivity to routing and securing information. In this chapter, the energy management schemes were divided into four main categories: battery management, system management, transmission power management, and other management schemes. Each energy management scheme was discussed, in addition to presenting several research work that support the discussed energy management scheme.
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",coverUrl:"https://cdn.intechopen.com/series/covers/23.jpg",latestPublicationDate:"June 18th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:0,editor:{id:"280770",title:"Dr.",name:"Katherine K.M.",middleName:null,surname:"Stavropoulos",slug:"katherine-k.m.-stavropoulos",fullName:"Katherine K.M. Stavropoulos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRdFuQAK/Profile_Picture_2022-05-24T09:03:48.jpg",biography:"Katherine Stavropoulos received her BA in Psychology from Trinity College, in Connecticut, USA. Dr. Stavropoulos received her Ph.D. in Experimental Psychology from the University of California, San Diego. She completed her postdoctoral work at the Yale Child Study Center with Dr. James McPartland. Dr. Stavropoulos’ doctoral dissertation explored neural correlates of reward anticipation to social versus nonsocial stimuli in children with and without autism spectrum disorders (ASD). She has been a faculty member at the University of California, Riverside in the School of Education since 2016. Her research focuses on translational studies to explore the reward system in ASD, as well as how anxiety contributes to social challenges in ASD. She also investigates how behavioral interventions affect neural activity, behavior, and school performance in children with ASD. She is also involved in the diagnosis of children with ASD and is a licensed clinical psychologist in California. She is the Assistant Director of the SEARCH Center at UCR and is a Faculty member in the Graduate Program in Neuroscience.",institutionString:null,institution:{name:"University of California, Riverside",institutionURL:null,country:{name:"United States of America"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:2,paginationItems:[{id:"89",title:"Education",coverUrl:"https://cdn.intechopen.com/series_topics/covers/89.jpg",isOpenForSubmission:!1,editor:{id:"260066",title:"Associate Prof.",name:"Michail",middleName:null,surname:"Kalogiannakis",slug:"michail-kalogiannakis",fullName:"Michail Kalogiannakis",profilePictureURL:"https://mts.intechopen.com/storage/users/260066/images/system/260066.jpg",biography:"Michail Kalogiannakis is an Associate Professor of the Department of Preschool Education, University of Crete, and an Associate Tutor at School of Humanities at the Hellenic Open University. He graduated from the Physics Department of the University of Crete and continued his post-graduate studies at the University Paris 7-Denis Diderot (D.E.A. in Didactic of Physics), University Paris 5-René Descartes-Sorbonne (D.E.A. in Science Education) and received his Ph.D. degree at the University Paris 5-René Descartes-Sorbonne (PhD in Science Education). His research interests include science education in early childhood, science teaching and learning, e-learning, the use of ICT in science education, games simulations, and mobile learning. He has published over 120 articles in international conferences and journals and has served on the program committees of numerous international conferences.",institutionString:"University of Crete",institution:{name:"University of Crete",institutionURL:null,country:{name:"Greece"}}},editorTwo:{id:"422488",title:"Dr.",name:"Maria",middleName:null,surname:"Ampartzaki",slug:"maria-ampartzaki",fullName:"Maria Ampartzaki",profilePictureURL:"https://mts.intechopen.com/storage/users/422488/images/system/422488.jpg",biography:"Dr Maria Ampartzaki is an Assistant Professor in Early Childhood Education in the Department of Preschool Education at the University of Crete. Her research interests include ICT in education, science education in the early years, inquiry-based and art-based learning, teachers’ professional development, action research, and the Pedagogy of Multiliteracies, among others. 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Topics include, but are not limited to: Advanced techniques of cellular and molecular biology (Molecular methodologies, imaging techniques, and bioinformatics); Biological activities at the molecular level; Biological processes of cell functions, cell division, senescence, maintenance, and cell death; Biomolecules interactions; Cancer; Cell biology; Chemical biology; Computational biology; Cytochemistry; Developmental biology; Disease mechanisms and therapeutics; DNA, and RNA metabolism; Gene functions, genetics, and genomics; Genetics; Immunology; Medical microbiology; Molecular biology; Molecular genetics; Molecular processes of cell and organelle dynamics; Neuroscience; Protein biosynthesis, degradation, and functions; Regulation of molecular interactions in a cell; Signalling networks and system biology; Structural biology; Virology and microbiology.",annualVolume:11410,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"79367",title:"Dr.",name:"Ana Isabel",middleName:null,surname:"Flores",fullName:"Ana Isabel Flores",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRpIOQA0/Profile_Picture_1632418099564",institutionString:null,institution:{name:"Hospital Universitario 12 De Octubre",institutionURL:null,country:{name:"Spain"}}},{id:"328234",title:"Ph.D.",name:"Christian",middleName:null,surname:"Palavecino",fullName:"Christian Palavecino",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000030DhEhQAK/Profile_Picture_1628835318625",institutionString:null,institution:{name:"Central University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"186585",title:"Dr.",name:"Francisco Javier",middleName:null,surname:"Martin-Romero",fullName:"Francisco Javier Martin-Romero",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSB3HQAW/Profile_Picture_1631258137641",institutionString:null,institution:{name:"University of Extremadura",institutionURL:null,country:{name:"Spain"}}}]},{id:"15",title:"Chemical Biology",keywords:"Phenolic Compounds, Essential Oils, Modification of Biomolecules, Glycobiology, Combinatorial Chemistry, Therapeutic peptides, Enzyme Inhibitors",scope:"Chemical biology spans the fields of chemistry and biology involving the application of biological and chemical molecules and techniques. 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Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. 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Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. 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