Main characteristics on the methods used for the determination of GLY and its main metabolite in soil matrices.
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More than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\\n\\nOur breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\\n\\n“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\\n\\nAdditionally, each book published by IntechOpen contains original content and research findings.
\\n\\nWe are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
\\n\\n\\n\\n
\\n"}]',published:!0,mainMedia:{caption:"IntechOpen Maintains",originalUrl:"/media/original/113"}},components:[{type:"htmlEditorComponent",content:'
Simba Information has released its Open Access Book Publishing 2020 - 2024 report and has again identified IntechOpen as the world’s largest Open Access book publisher by title count.
\n\nSimba Information is a leading provider for market intelligence and forecasts in the media and publishing industry. The report, published every year, provides an overview and financial outlook for the global professional e-book publishing market.
\n\nIntechOpen, De Gruyter, and Frontiers are the largest OA book publishers by title count, with IntechOpen coming in at first place with 5,101 OA books published, a good 1,782 titles ahead of the nearest competitor.
\n\nSince the first Open Access Book Publishing report published in 2016, IntechOpen has held the top stop each year.
\n\n\n\nMore than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\n\nOur breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\n\n“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\n\nAdditionally, each book published by IntechOpen contains original content and research findings.
\n\nWe are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
\n\n\n\n
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Within the last 5-10 years, the demand for multimedia applications has increased enormously. Like many other recent developments, the materialization of image and video encoding is due to the contribution from major areas like good network access, good amount of fast processors e.t.c. Many standardization procedures were carrried out for the development of image and video coding. The advancement of computer storage technology continues at a rapid pace as a means of reducing storage requirements of an image and video as most situation warrants. Thus, the science of digital video compression/coding has emerged. This storage capacity seems to be more impressive when it is realized that the intent is to deliver very high quality video to the end user with as few visible artifacts as possible. Current methods of video compression such as Moving Pictures Experts Group (MPEG) standard provide good performance in terms of retaining video quality while reducing the storage requirements. Many books are available for video coding fundamentals.This book is the research outcome of various Researchers and Professors who have contributed a might in this field. This book suits researchers doing their research in the area of video coding.The understanding of fundamentals of video coding is essential for the reader before reading this book. The book revolves around three different challenges namely (i) Coding strategies (coding efficiency and computational complexity), (ii) Video compression and (iii) Error resilience. 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\r\n\tCloud computing services play a very important role in many applications that involve the provision of machines for computing and storage. Additionally, the cloud infrastructure can also offer data platform services that span the different available databases. With all developments in cloud computing infrastructures and services, it becomes mandatory to use cybersecurity and Artificial Intelligence (AI) to address the needs of end-users of Cloud Computing. Utilizing AI software-based machine learning (ML) algorithms in cloud environments is widely used nowadays to deliver intuitive for users and customers. Alexa and Siri are good examples that use AI to search the cloud to get much information or to play songs to make a purchase. Cybersecurity in cloud computing environments is required for involving best practices in user access and privileges, hardware and software security, virtualization, firewalls, and other processes used to protect data and infrastructure.
\r\n\r\n\tThis book will concentrate on all aspects of Cloud Computing. Principally, it will address topics that are core to Cloud Computing, focusing on the Cloud applications, the Cloud systems, utilizing both the AI and cybersecurity to advance Cloud systems for better use in the future.
",isbn:"978-1-80356-708-2",printIsbn:"978-1-80356-707-5",pdfIsbn:"978-1-80356-709-9",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"d0810b3f0c23214bf7dddeaafcb6c3ef",bookSignature:"Dr. Yasser Ismail",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11925.jpg",keywords:"Cloud Computing, Artificial Intelligence (AI), Private Cloud, Cognitive Cloud Computing, Cybersecurity, Cloud Security, Cloud Infrastructure, Cloud System, Cloud Applications, Cloud Deployment, Types of Cloud Computing, Cloud Computing Features",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"March 23rd 2022",dateEndSecondStepPublish:"May 31st 2022",dateEndThirdStepPublish:"July 30th 2022",dateEndFourthStepPublish:"October 18th 2022",dateEndFifthStepPublish:"December 17th 2022",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"2 months",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"Dr. Yasser Ismail has over twenty years of professional experience in teaching and research in national and international universities, such as Southern University, A&M College, Mansoura University, and the University of Bahrain. He has obtained a Ph.D. in Computer Engineering at the University of Louisiana at Lafayette. He is awarded the Partnering, Research, Innovation, Development, and Entrepreneurship award by Southern University and A&M College.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"255636",title:"Dr.",name:"Yasser",middleName:null,surname:"Ismail",slug:"yasser-ismail",fullName:"Yasser Ismail",profilePictureURL:"https://mts.intechopen.com/storage/users/255636/images/system/255636.png",biography:'Overview\nA highly motivated detail-oriented professional with excellent organizational and results-oriented abilities. My educational background and diverse experiences have provided me with wide knowledge and a strong set of skills that allow me to contribute to many fields of image processing – based Machine Learning (ML) and how it may be used to characterize various materials’ degradations, digital video, and VLSI design (algorithmic and architecture levels), smart traffic system design, cybersecurity based Additive Manufacturing, and Internet of Video Things (IoVT).\nResearch Interest:\n•\tImage Processing – Based Machine Learning (ML): Develop a system that can monitor and determine the effect that long-term exposure to some chemical materials that can be added to plants and soils. This work may be extended to characterize various materials’ degradations,\n•\tSmart traffic-Based Artificial Intelligence (AI) and Machine Learning (ML): Develop smart systems-based Deep Learning algorithms that can automatically count different objects. Such systems and algorithms are very helpful in designing new smart cities.\n•\tInternet of Video Things (IoVT): Design video surveillance systems, for homeland security applications that match the allowed hardware complexity of the Internet of Video Things (IoVT) infrastructure.\n•\tDigital Video Processing Algorithms/Architectures levels: Develop video processing algorithms and architectures. My research involves Video Compression algorithms and architectures, specifically Motion Estimation and Compensation, DCT transform, and Vector Quantization.\n•\tVLSI and FPGA Design (Low-Power and High-Speed Performance Embedded Systems): Design video systems taking into consideration optimizing the encoding speed and study the effect on both the area and power consumption of the designed systems. Systems are tested and implemented in either FPGA or ASIC flow design.\n•\tWireless and Digital Communication Systems: Design several techniques and systems that help in compressing the transmitted bit-rate of a speech signal over wireless communication channels. \nEducation\t\n•\tPh.D. Computer Engineering. University of Louisiana at Lafayette, Lafayette, LA, USA, 2010. Dissertation Title: “Efficient Smart Algorithms and Architectures for Real-time Video Transmission in Pixel and Frequency Domains”.\n•\tM.S. Computer Engineering. University of Louisiana at Lafayette, Lafayette, LA, USA, 2007.\n•\tM.S. Electrical Communication Engineering. Mansoura University, Mansoura, Egypt, 2002. \n•\tB.Sc. Electronics Engineering. Mansoura University, Mansoura, Egypt, 1999.\nHonors and Awards\n•\tThe 2019 Partnering, Research, Innovation, Development, and Entrepreneurship award (P. R. I. D. E) by Southern University and A&M College – USA.\n•\tListed in Marquis Who’s Who in America 2009 and 2010.\n•\tThird place winner in “the student paper contest” at the University of Louisiana at Lafayette in 2009 and 2008.\n•\tHonored Student, The University of Louisiana at Lafayette Honors Convocation Committee (2006) and (2007).\n•\tFirst Rank Graduate in MS, Mansoura University, Mansoura, Egypt (2003).\n•\tSecond Rank Graduate in BS, Mansoura University, Mansoura, Egypt (1999).\nAppointments and Teaching Experience \n\n•\tMay 2022 to Present: Associate Professor, Southern University and A&M College, Department of Electrical Engineering, Baton Rouge, LA, USA.\n•\tAugust 2017 to May 2022: Assistant Professor, Southern University and A&M College, Department of Electrical Engineering, Baton Rouge, LA, USA.\n•\tJuly 2016 to July 2017: Assistant Professor, Mansoura University, Electronics and Communications Department, Egypt, \n•\tSeptember 2016 to June 2017: Adjunct Assistant Professor, Zewail City of Science and Technology - University of Science and Technology - Zewail City, Egypt.\n•\tSeptember 2012 to June 2016: Assistant Professor, University of Bahrain, Computer Engineering Department, Kingdom of Bahrain.\n•\tOctober 2010 to July 2012: Assistant Professor, Umm Al-Qura University, Computer Science Department, Makkah, Kingdom of Saudi Arabia.\n•\tJanuary 2005 to May 2010: Teaching Assistant, College of Engineering – Electrical and Computer Engineering Department, University of Louisiana at Lafayette (ULL), Lafayette, LA, USA.\n•\tJanuary 2001 to January 2005.Teaching Assistant, Mansoura University, Electronics and Communications Department, Egypt.\nCourses taught\n•\tMicroprocessors, Computer Design and Implementation \n•\tDigital Logic Design Circuits\n•\tDesign and Analysis of Algorithms\n•\tElectromagnetic Waves\n•\tSignals and Systems\n•\tDigital communication system\n•\tElectrical Circuits I/II\t•\tVLSI design of embedded systems\n•\tComputer Architecture and Organization \n•\tElectronics I/II/III \n•\tDigital Signal Processing\n•\tProgramming Languages\n•\tImage Processing and Computer Vision\n•\tTroubleshooting\n•\tRobotic Design and Implementation\n•\tAn Introduction to Cybersecurity\nPending Grant\n\n•\tSouthern University Partnership for Research and Education in Materials Excellence (SUPREME), National Science Foundation (NSF) (2021 – 2027), (Role: Co-PI) ($3,992,932).\n•\tCAREER: Improving Student Learning in Machine Learning and Internet of Things Applications and Technologies Utilizing Modern Learning, National Science Foundation (NSF) (2022 – 2027), (Role: PI) (738,985).\n\nAwarded Grant\n\n•\tUsing Sensor Networks and Machine Learning to Characterize Agricultural Responses to Stimuli – Funded by US Federal Government (2021 – 2023), BAA ID#: CGR-2020-0001-P1. (Role: Co-PI) ($ 350,000) \n•\tHigh-Fidelity Fatigue, Drowsiness, and Drunk Drivers Detection (FD4) System, - Funded by Louisiana Transportation Research Center (LTRC) (2021 – 2022), (Role: PI) ($ 30,000)\n•\tSupervised Undergraduate Research Experiences (SURE) Competition, BOARD OF REGENTS, Baton Rouge 2020-2021. (Role: Supervise undergraduate student; LaBreya Brumfield). ($5,000) \n•\tSupervised Undergraduate Research Experiences (SURE) Competition, BOARD OF REGENTS, Baton Rouge 2020-2021. (Role: Supervise undergraduate student; Dailynn Thomas). ($5,000)\n•\tEnhancing Computer Engineering and Big Data Education (CEBDE) at Southern University and A&M College, Microsoft Impact2020 (2020 – 2021). (Role: Co-PI) ($ 200,000).\n•\tEnhancing Additive Manufacturing Education with Cybersecurity and Virtual Reality – Funded by the National Science Foundation (NSF) (2019 – 2024), Award Id: 1915520. (Role: Senior Investigator) ($ 851,877) \n•\tTargeted Infusion Project: A Computer Engineering Research Lab (CERL) at Southern University and A&M College (SUBR) – Funded by the National Science Foundation (NSF) (2019 – 2021), Award Id: 1912397. (Role: PI) ($ 396,190) \n•\tEvaluation of Counting Device for Pedestrians and Bicyclists - Funded by Louisiana Transportation Research Center (LTRC) (2018 – 2019), Award Id: LTRC 19-1SA. (Role: PI) ($ 85,792)\n•\tAutomatic Recognition of Arabic handwriting in Historical Manuscripts - Funded by the King Abdul-Aziz City for Science and Technology (KACST) (2014 - 2015). (Role: Co-PI) ($ 379,337)\n•\tFast and Smart Security Cameras for Video Surveillance systems in Hajj Rites – Funded by The Custodian of the Two Holy Mosques Institute of Hajj researches – KSA (2014-2015). (Role: PI) ($ 35,000)\n•\tASIC Design of a Low Complexity High-Speed H.265/HEVC for Wireless Transmission Video Surveillance System - Funded by University of Bahrain (2014 -2015). (Role: PI) ($ 13,297)\n•\tFast video surveillance system for Hajj rites security - Funded by the Transportation and Crowd Management Center of Research Excellence (2014 - 2015). (Role: PI) ($ 26,595)\n•\tUS-Bahrain Cooperative Research with Central Michigan University: Intelligent Video Surveillance Systems for Hajj — Funded by the National Science Foundation (NSF) (2013 – 2014), Award Id: 1341126. (Role: Co-PI) ($ 36,649)\n•\tFast Video Surveillance system for the roadway security monitoring — Funded by University of Bahrain (2012 -2013). (Role: PI) ($ 13,297)\n•\tDesktop and Mobil-phone Secure Backup System hosted on a Storage Cloud — Funded by the Center of Research for Hajj and Omrah – Kingdom of Saudi Arabia (KSA) (2011 - 2012). (Role: Co-PI) ($ 132,978)\n\nMaster and Ph.D. Students Supervision\n•\tOpeyemi P. Ojajuni “Fostering 21st-Century Skills and Computational Skills in Science, Technology, Engineering, and Mathematics (STEM) Students Using the Internet of Things (IoT) Technology” Southern University and A&M College, Electrical Engineering Department, Expecting graduation on (2023).\n•\tSunday Bezaleel Anwansedo “Using Mobile-Based Application for Healthcare Management In Sub-Sahara Africa: A Case Study of Covid-19 Vaccine Distribution” Southern University and A&M College, Electrical Engineering Department, (2021).\n•\tSurya Veera Reddy Sirigireddy “Predicting Material Composition by Analyzing Color in Copper Silver Gold Alloys” Southern University and A&M College, Electrical Engineering Department, (2021).\n•\tAkodu Moruf Olagunju “The application of Machine learning algorithms in healthcare classification: Prostate Cancer as a case study” Southern University and A&M College, Electrical Engineering Department, (2021).\n•\tWillson Junior Meli Ngong “Video-Based Automated Pedestrians Counting Algorithms for Smart Cities” Southern University and A&M College, Electrical Engineering Department, (2020).\n•\tAli H Al Majed “Smart Detection Algorithms Under Different Weather Conditions” Southern University and A&M College, Electrical Engineering Department, (2020).\n•\tRaja Naga Rahul Paramkusam “Synthesis and Analytical Characterization of Graphene Oxide and Reduced Graphene Oxide for Gas Sensing Applications” Southern University and A&M College, Electrical Engineering Department, (2019).\n•\tDe’Shon Swafford “Fabrication of Zinc Oxide Varistor used in Gas Sensing Application” Southern University and A&M College, Electrical Engineering Department, (2019).\n•\tYeshak A. Dabels “Miniaturization of Chemical Identification bY Magnetoelastic Sensing (ChIMES) Technology” Southern University and A&M College, Electrical Engineering Department, (2018).\n•\tMohamed Nabil Hammad “High-Speed On-Chip Motion Estimation Co-Processor for H.265/HEVC Standard,” University of Bahrain, Computer Engineering Department, (2016).\n\nPublications\nJournal Papers\n1.\tMahmoud Darwich, Yasser Ismail, Talal Darwich, and Magdy Bayoumi” Cost Minimization of Cloud Services for On-Demand Video Streaming” Accepted to be published in SN Computer Science Springer Journal, June 2021.\n2.\tYasser Ismail, Mohamed Hammad, Mahmoud Darwichand, and Wael Elmedany “Homeland Security Video Surveillance System Utilizing the Internet of Things (IoT) for Smart Cities” IET Computers & Digital Technique journal, Volume 15, Issue 4, Pages: 241-319, 04 April 2021.\n3.\tWillson Meli, Fred Lacy, and Yasser Ismail “Video-Based Automated Pedestrians Counting Algorithms for Smart Cities” International Journal of Computing and Digital Systems (IJCDS), 2020.\n4.\tAli Al Majed, Fred Lacy, and Yasser Ismail “Smart Detection Under Different Weather Conditions” International Journal of Computing and Digital Systems (IJCDS), 2020.\n5.\tYeshak Dabels, Yasser Ismail, and Fred Lacy “CHIMES: Chemical Identification by Magneto Elastic Sensing” International Journal of Computing and Digital Systems (IJCDS), vol. 9, issue 4, July 2020.\n6.\tOpeyemi Ojajuni, Yasser Ismail and Albertha Lawson, “Distributed Denial-of-Service (DDoS) Attack Detection and Mitigation for Internet of Things (IoT)” International Journal of Technology Diffusion (IJTD), 2020.\n7.\tChase Richardson, Ali Ghawwas, Yasser Ismail, Raynaud Henton, and Jiecai luo, " Multiple Smart Phones Inductive Charging Station System " International Journal of Computing and Digital Systems (IJCDS), vol. 7, issue. 6, November 2018.\n8.\tSamar Ali, Ashraf Badawi, and Yasser Ismail, “Adaptive Multi-connection Scalable Video Coding for Wireless Area Networks,” International Journal of Computing and Digital Systems (IJCDS), vol. 7, issue. 3, May 2018.\n9.\tYasser Ismail, “6-DOF Robotic Arm Using Haptic Feedback Wired and Wireless Platforms,” International Journal of Computing Network Technology (IJCNT), vol. 4, issue. 2, May 2016.\n10.\tYasser Ismail, “FPGA Implementation of Fast and Efficient CODEC for H.264/AVC Real-Time Video Applications,” International Journal of Technology Diffusion (IJTD) - USA, vol. 7, issue. 1, March 2016.\n11.\tYasser Ismail, “A cost-effective Programmable SoC for H.265/HEVC Full Search Motion Estimation using Xilinx ZYNQ-7 ZC706 FPGA,” International Journal of Computing Network Technology (IJCNT), vol. 4, issue. 1, January 2016.\n12.\tYasser Ismail, Ahmed Abdelgawad, Sherif El-etriby, “High-speed on-chip multiple cosine transform generator,” Journal of Real-Time Image Processing, Springer, ISSN: 1861-8200, DOI 10.1007/s11554-015-0528-0, (print version), and ISSN: 1861-8219 (electronic version), September 2nd, 2015.\n13.\tYasser Ismail, “A complete Verification of a Full Search Motion Estimation Engine,” International Journal of Computing and Digital Systems, 2015. Int. J. Dig. Sys. 4, No. 4, pp. 221-232, Oct. 2015. \n14.\tYasser Ismail, “High-Speed Transform Coding on Chip for Wireless Video Surveillance Systems,” International Journal of Computing and Digital Systems, 2015. Int. J. Dig. Sys. 4, No. 2, pp. 81-89, Apr. – 2015. \n15.\tYasser Ismail, Wael El-Medany, Hessa Al-Junaid, and Ahmed Abdelgawad, “High-Performance Architecture for Real-time HDTV Broadcasting”, Journal of Real-Time Image Processing, Springer, Volume 11, Issue 4, pp 633–644, ISSN: 1861-8200 (print version), and ISSN: 1861-8219 (electronic version), May 27, 2014.\n16.\tYasser Ismail, “A Fast Diamond Motion Estimation Search Algorithm for Real-Time Video Applications”, International Journal of Computing and Digital Systems, Dig. Sys. 3, No. 2, pp. 101-110, May 1st, 2014.\n17.\tYasser Ismail, “A Novel Lattice Architecture for High-Speed Discrete MultiTone (DMT) Modulation”, International Journal of Computing and Digital Systems, Dig. Sys. 2, No. 2, pp. 11-18, April 2013.\n18.\tYasser Ismail, Jason McNeely, Mohsen Shaaban, and Magdy A. Bayoumi, “Fast Motion Estimation Algorithm Using Dynamic Models for H.264 Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Volume 22, Issue 1, pp. 28 – 42, January 2012.\n19.\tSumeer Goel, Yasser Ismail, and Magdy A. Bayoumi, " High-speed Motion Estimation Architecture for Real-time Video Transmission," Oxford Journals - The Computer Journal (2012) 55(1): 35-46 first published online April 29, 2011.\n20.\tYasser Ismail, Mohsen Shaaban, Jason McNeely, and Magdy A. Bayoumi, “An Efficient Adaptive High-Speed Manipulation Architecture for Fast Variable Padding Frequency Domain Motion Estimation,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems. Volume: PP, Issue: 99, pp. 1 – 10, 2010. \n21.\tYasser Ismail, Mohamed Elgamel, and Magdy Bayoumi, “Fast Variable Padding Motion Estimation Using Smart Zero Motion Prejudgment technique for Pixel and Frequency Domains,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Volume 19, Issue 5, pp. 609 – 626, May 2009.\nProject Reports\nYasser Ismail “Evaluation of Counting Device for Pedestrians and Bicyclists”, Final report (2019-2020) published by – March 2021. https://www.ltrc.lsu.edu/pubs_annual_reports.html#\n\nBooks\n1.\tYasser Ismail, et al., " Internet of Things (IoT) for Automated and Smart Applications" IntechOpen, ISBN: 978-1-78984-096-4, Website: https://www.intechopen.com/books/internet-of-things-iot-for-automated-and-smart-applications, 2019.\n2.\tYasser Ismail and M. Bayoumi, "Smart Algorithms and Architectures for Real-Time Video Transmission," VDM Verlag, Saarbrucken, ISBN-NR.: 978-3-639-34323-6, Germany, 2011.\nBook Chapter\n1.\tBook title: Smart Algorithms and Architectures for Real-Time Video Transmission\nChapter title: Introductory Chapter: Internet of Things (IoT) Importance and Its Applications\nAuthors: Yasser Ismail\n2.\tBook title: The Future of Television - Convergence of Content and Technology \nChapter title: High-Efficient Video Transmission for HDTV Broadcasting\nAuthors: Yasser Ismail\n3.\tBook title: Search Algorithms (ISBN 980-953-307-672-5)\nChapter title: Fast Motion Estimation System Using Dynamic Models for H.264/AVC Video Coding \nAuthors: Yasser Ismail\n4.\tBook title: Search Algorithms and Applications (ISBN 978-953-307-483-2)\nChapter title: Enhanced Efficient Diamond Search Algorithm for Fast Block Motion Estimation\nAuthors: Yasser Ismail and Magdy A. Bayoumi\nConference papers\n1.\tMahmoud Darwich, Yasser Ismail, Talal Darwich, and Magdy Bayoumi “Improving Hierarchy Storage for Video Streaming in Cloud” IEEE Virtual World Forum on Internet of Things, New Orleans, 2021.\n2.\tM. Hammad, W. Elmedany and Y. Ismail, "Design and Simulation of AES S-Box Towards Data Security in Video Surveillance Using IP Core Generator," 2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), 2021, pp. 469-476, doi: 10.1109/3ICT53449.2021.9581825.\n3.\tM. Hammad, W. El-medany and Y. Ismail, "Intrusion Detection System using Feature Selection With Clustering and Classification Machine Learning Algorithms on the UNSW-NB15 dataset," the 2020 International Conference on Innovation and Intelligence for Informatics, Computing and Technologies (3ICT), 2020, pp. 1-6, doi: 10.1109/3ICT51146.2020.9312002.\n4.\tMahmoud Darwich, Yasser Ismail, Talal Darwich, and Magdy Bayoumi “Cost-Efficient Storage for On-Demand Video Streaming on Cloud” IEEE Virtual World Forum on Internet of Things, New Orleans, 2020.\n5.\tOpeyemi Ojajuni, Yasser Ismail, and Albertha Lawson “Distributed Denial-of-Service (DDoS) Attack Detection and Mitigation for Internet of Things (IoT),” 76th Joint Meeting of BKX and NIS, Beta Kappa Chi and National Institute of Science, March 28-30, 2019 - Atlanta, GA. \n6.\tY. Ismail, M. Hammad, and W. El-Medany, "Homeland Security Video Surveillance System for Smart Cities," 2018 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), 2018, pp. 1-4, doi: 10.1109/3ICT.2018.8855732.\n7.\tMd Anam Mahmud, Ahmed Abdelgawad, Kumar Yelamarthi, and Yasser A. Ismail, " Signal Processing Techniques for IoT-based Structural Health Monitoring," 29th International Conference on Microelectronics (ICM), pp: 1-5, Beirut, Lebanon, 10-13 Dec. 2017. \n8.\tA. Abdelgawad, Y. Ismail, K. Yelamarthi, "Moving Target Tracking using a Mobile Robot," IEEE International Symposium on Monitoring & Surveillance Research, June 2015.\n9.\tYasser Ismail, Wael El-Medany, Hessa Al-Junaid, and Ahmed Abdelgawad “Fast Co-Processor for Real-Time Video Transmission,” Proc. of the IEEE International Conference on Electronics, Circuits, and Systems, ICECS, Abu Dhabi, UAE, pp. 945 – 949, December 8-11, 2013.\n10.\tWael El-Medany and Yasser Ismail “Mobile Learning Laboratory for Hardware Courses,” IEEE International Conference on e-Learning "Best Practices in Management, Design and Development of e-Courses: Standards of Excellence and Creativity", pp.51,54, 7-9 May 2013\n11.\tYasser Ismail and Sherif El-etriby “Fast diamond search algorithm for real-time video coding," Proc. of the IEEE Workshop ICNC, Maui, Hawaii, USA, pp. 729 – 733, 30 January 2012.\n12.\tYasser Ismail, Sherif El-etriby, and Magdy A. Bayoumi, " Frequency Domain: Efficient and High-Speed Technology For Video Transmission," Proc. of the IEEE Workshop on Signal Processing Systems (SIPS), Beirut, Lebanon, pp. 278 – 282, October 2011.\n13.\tYasser Ismail and Magdy A. Bayoumi, " Efficient high-speed lattice-CORDIC IFFT architecture for DMT transmitter," Proc. of the IEEE Workshop on Signal Processing Systems (SIPS), San Francisco, CA, USA, pp. 151 - 155, October 6-8, 2010.\n14.\tYasser Ismail, Jason McNeely, Mohsen Shaaban, and Magdy A. Bayoumi, “A Fast-Discrete Transform Architecture for Frequency Domain Motion Estimation,” IEEE Int. Conference on Image Processing (ICIP), San Francisco Bay Area, California, U.S.A, pp. 1249 – 1252, September 26-29, 2010.\n15.\tYasser Ismail, Jason McNeely, Mohsen Shaaban, Mohamed Elgamel, and Magdy A. Bayoumi, " An efficient area manipulation architecture for frequency domain encoding process,” IEEE International Symposium on Circuits and Systems (ISCAS 2010), Paris, France, pp. 2638 – 2641, 2010.\n16.\tYasser Ismail, Mohsen Shaaban, Jason McNeely, and Magdy A. Bayoumi, “An Efficient Manipulation architecture for Real-Time Video Coding in Frequency Domain,” IEEE Int. Conference on Image Processing (ICIP), Cairo, Egypt, PP. 3281 – 3284, November 7-11, 2009.\n17.\tYasser Ismail, Jason McNeely, Mohsen Shaaban, and Magdy A. Bayoumi, “Enhanced Efficient Diamond Search Algorithm for Fast Block Motion Estimation,” IEEE International Symposium on Circuits and Systems (ISCAS 2009), Taipei International Convention Center, Taiwan, pp. 3198 – 3201, 24 - 27 May 2009.\n18.\tJason McNeely, Yasser Ismail, Magdy A. Bayoumi, and Peiyi Zhao, “Power Analysis of The Huffman Decoding Tree,” Proc. of the IEEE Int. Conference on Image Processing (ICIP), San Diego, California, U.S.A, pp. 1416 – 1419, October 12–15, 2008.\n19.\tYasser Ismail, Jason McNeely, Mohsen Shaaban, Magdy Bayoumi, "A Generalized Fast Motion Estimation Algorithm using External and Internal Stop Search Techniques for H.264 Video Coding Standard," IEEE International Symposium on Circuits and Systems (ISCAS 2008), Seattle, Washington, pp. 3574 – 3577, May 18-21, 2008.\n20.\tYasser Ismail, Mohamed Elgamel, and Magdy A. Bayoumi, "An Adaptive Block Size Phase Correlation Motion Estimation Using Smart Multireference Frames Selection in Frequency Domain," Proc. of IEEE Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, pp. 239 – 242, November 4-7, 2007.\n21.\tYasser Ismail, Mohamed Elgamel, and Magdy A. Bayoumi, "adaptive techniques for a fast Frequency Domain Motion Estimation," Proc. of IEEE Workshop on Signal Processing Systems (SIPS), Shanghai, China, pp. 331-336, October 17-19, 2007.\n22.\tYasser Ismail, Mohamed Elgamel, and Magdy A. Bayoumi, "A Fast Block-Based Motion Estimation Using Early Stop Search Techniques for H.264/AVC Standard," Proc. of the 48th IEEE International Midwest Symposium on Circuits and Systems, Montreal, Canada, pp. 397 – 400, Aug 5-8, 2007.\n23.\tYasser Ismail, M. Shaaban, and M. Bayoumi, "An Adaptive Block Size Phase Correlation Motion Estimation Using Adaptive Early Search Termination Technique," IEEE International Symposium on Circuits and Systems (ISCAS), New Orleans, pp.3423–3426, May 2007.\n24.\tJ.Luis Tecpanecatl-Xihuitl, Ruth M. Aguilar-Ponce, Yasser Ismail, and Magdy A. Bayoumi “Efficient Mutliplierless Polyphase FIR Filter based on New Distributed Arithmetic Architecture,” Proc. of IEEE Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, pp. 958 – 962, November 4-7, 2007.\n25.\tS. Goel, Yasser Ismail, P. Devulapalli, J. McNeely, and M. Bayoumi, “An Efficient Data Reuse Motion Estimation Engine,” Proc. of IEEE Signal Processing Systems Design and Implementation, 2006, SIPS, Banff. Canada, pp.383-386, Oct. 2006.\n26.\tS. Goel, Yasser Ismail, and M. Bayoumi, "Adaptive search window size algorithm for fast motion estimation in H.264/AVC standard," Proc. of the 48th IEEE Intl. Midwest Symposium on Circuits and Systems, Ohio, pp. 1557-1560, Aug. 2005. \nCourses developed at Southern University and A&M College\n•\tELEN 435: Image processing and Computer Vision. (Credit, 3 hours) (Lecture, 3 hours). This course is intended to teach students the concepts of visual information, feature extraction, Image enhancement in the spatial domain, Image enhancement in the frequency domain, Image restoration, Color image processing, Image compression, Morphological image processing, Image segmentation, and image representation.\n•\tELEN 464: Mechatronics. (Credit, 3 hours) (Lecture, 3 Hours) – Covers computer control of electromechanical systems, automatic data acquisition. Computerized instrumentation and testing. The embedded computer might be a combination of microprocessors, microcontrollers, personal computers, and /or programmable controllers. Students are required to test to design, assemble, and test actual systems.\n•\tMEEN 4xx: Additive Manufacturing Security & Security Framework. This course is designed for the purpose of the NSF Award Id: 1912397. It will provide students with the knowledge of Additive Manufacturing applications and how to make them more secure. Virtual Reality simulations will be used to demonstrate possible risks from cyberattacks and their consequences. \nProfessional development\n•\tProposing a Computer Engineering (CE) minor program under the Electrical Engineering (EE) program at Southern University.\n•\tABET accreditation of the Electrical Engineering (EE) program at Southern University (Fall 2021): I participated in many activities and committees to successfully get the EE program accredited.\n•\tABET accreditation of the Computer Engineering (CE) program at University of Bahrain (2016): I participated in many activities and committees to successfully get the CE program accredited.\n•\tSummer Fellow in the ONR sponsored Summer Faculty Research Program at the Naval Surface Warfare Center – Carderock Division, West Bethesda, MD, USA, 20817, June 1 – August 8, 2021.\n•\tNSF Panel Reviewer: Serve as a reviewer for NSF Panels 2019 – present. \n•\tSuccessfully passed eleven (11) weeks Machine Learning online course on Coursera website. https://www.coursera.org/learn/machine-learning/home/welcome, 2021.\n•\tSession chair at the IEEE 7th World Forum on Internet of Things (WF-IoT 2021), 26 – 31 July 2021, New Orleans, Louisiana, USA. \n•\tExternal Assessment Moderator for the CE Department at University of Bahrain (UoB), December 2020.\n•\tSession chair at the IEEE 6th World Forum on Internet of Things, 5-9 April 2020, New Orleans, Louisiana, USA. \n•\tSession chair at the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2018, 2019, and 2020. \n•\tMember in the Organizing Committee of the Gulf States Math Alliance Conference held at Southern University and A&M College, February 14-16, 2020.\n•\tTrack chair at the IEEE Green Technologies Conference, April 3-6, 2019, Lafayette, Louisiana, USA.\n•\tCertificate from Quality Matters (QM) of Independent Applying the QM Rubric (APPQMR), September 20, 2019. \n•\tSupervisor of the IEEE student chapter group at Southern University and A&M College 2018 – Current.\n•\tEditorial Board Member for Frontiers of Mechatronical Engineering FME, EnPress Publisher Editorial - USA, 2018 – current.\n•\tServe on the technical program committee for MobiApps 2016 (Mobile Applications, Vienna, Austria 2016).\n•\tInvited to serve as a lead guest editor for a special issue in mobile information systems – Hindawi publishing corporation September 2016.\n•\tMember of Bahrain Society of academics 2014 – 2016. \n•\tSession chair at ICECS 2013, Abu Dhabi – UAE.\n•\tAn active member in the IEEE student chapter at the University of Louisiana (2006-2009).\n•\tMember of the Organizing Committee of ISCAS 2007 symposium, New Orleans, LA.\nSynergistic Activities \n\n•\tSchool and College Service:\no\tServe as a commencement Assistant University Marshal for the College of Sciences and Engineering (CSE) 2018 - Current\no\tElectrical Engineering Department committee member (member)\no\tThe Electrical Engineering Department assessment committee (member) Spring-2018\no\tThe IEEE Student Advisory Committee (member) Spring-2018\no\tThe Electrical Engineering Department Recruiting/Outreach Committee (Chair) Spring-2018\no\tThe Engineers Week Committee (Chair) Spring-2018\no\tThe Electrical Engineering Department Arduino Club (Chair) Fall-2018 - Current\n•\tJournal Reviewer:\no\tJournal of Real-Time Image Processing (JRTIP), Springer\no\tIEEE Transaction on Circuit and System for Video Technology (TCSVT)\no\tIEEE Transactions on Very Large Scale Integration (VLSI) Systems \no\tIEEE Transactions on Image Processing\no\tInternational Journal of Computing and Digital Systems (IJCDS)\no\tInternational Journal of Technology Diffusion (IJTD)\n•\tTechnical Conference Reviewer:\no\tSCS: University of Bahrain "Smart Cities Symposium" 22-23 April 2018\no\tISCAS: IEEE International Symposium on Circuits and Systems\no\tICASSP: IEEE International Conference on Acoustics, Speech and Signal Processing\no\tICIP: IEEE International Conference on Image Processing\no\tSIPS: IEEE Workshop on Signal Processing Systems\no\tGCCCE: IEEE-GCC Conference and Exhibition\no\tICECS: IEEE International Conference on Electronics, Circuits, and Systems\no\tMWSCAS: IEEE International Midwest Symposium on Circuits and Systems\n•\tConference Organizer\no\tThe IEEE 6th World Forum on the Internet of Things (IoT) - WF-IoT 2020, New Orleans, USA, June 2nd – June 16th, Chair of Edge and Fog Computing session.\no\tThe 63rd IEEE International Midwest Symposium on Circuits and Systems, August 9 -12, 2020, , MA, USA \no\tThe Gulf States Math Alliance Conference held at Southern University and A&M College, February 14-16, 2020\no\t62nd IEEE International Midwest Symposium on Circuits and Systems, Dallas, TX, USA, Aug. 4-7, 2019, Chair of Control Systems, Mechatronics, and Robotics session. \no\tThe IEEE Green Technologies Conference, 3-6 April, Lafayette, LA, 2019\no\tThe 9th International Conference on Ambient Systems, Networks and Technologies (ANT 2018), Porto, Portugal May 8-11, 2018\no\tM.Sc./Ph.D. students forum Chair: IEEE International Midwest Symposium on Circuits and Systems, Windsor, ON, Canada August 5th-8th, 2018\no\tServe on the technical program committee for DPNoC\'17 (International Workshop on Design and Performance of Networks on Chip 2017). August 15-18, 2016, Montreal, Quebec, Canada\no\tOrganizing Committee for IEEE ICECS 2013, Abu Dhabi, UAE\no\t Organizing Committee for IEEE ISCAS 2007, New Orleans, LA, USA\n•\tCollaborators & Other Affiliations\no\tAshok Srivastava, Louisiana State University, USA\no\tJesmin Khan, Tuskegee University, USA\no\tMagdy Bayoum, University of Louisiana at Lafayette, USA\no\tAhmed Abdelgawad, Central Michigan University, USA\no\tJason McNeely, University of Alaska Fairbanks, USA\no\tAhmed Khattab, Cairo University, Egypt\no\tWael El-Medany, Bahrain University, Bahrain\no\tMahmoud Darwich, Bloomsburg University of Pennsylvania, USA',institutionString:"Southern University and Agricultural and Mechanical College",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"1",institution:{name:"Southern University and Agricultural and Mechanical College",institutionURL:null,country:{name:"United States of America"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"9",title:"Computer and Information Science",slug:"computer-and-information-science"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"453624",firstName:"Martina",lastName:"Scerbe",middleName:null,title:"Ms.",imageUrl:"https://mts.intechopen.com/storage/users/453624/images/20399_n.jpg",email:"martina.s@intechopen.com",biography:null}},relatedBooks:[{type:"book",id:"7602",title:"Internet of Things (IoT) for Automated and Smart Applications",subtitle:null,isOpenForSubmission:!1,hash:"55ad7d0965cba5aebe448cb43766c45e",slug:"internet-of-things-iot-for-automated-and-smart-applications",bookSignature:"Yasser Ismail",coverURL:"https://cdn.intechopen.com/books/images_new/7602.jpg",editedByType:"Edited by",editors:[{id:"255636",title:"Dr.",name:"Yasser",surname:"Ismail",slug:"yasser-ismail",fullName:"Yasser Ismail"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1591",title:"Infrared Spectroscopy",subtitle:"Materials Science, Engineering and Technology",isOpenForSubmission:!1,hash:"99b4b7b71a8caeb693ed762b40b017f4",slug:"infrared-spectroscopy-materials-science-engineering-and-technology",bookSignature:"Theophile Theophanides",coverURL:"https://cdn.intechopen.com/books/images_new/1591.jpg",editedByType:"Edited by",editors:[{id:"37194",title:"Dr.",name:"Theophile",surname:"Theophanides",slug:"theophile-theophanides",fullName:"Theophile Theophanides"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3161",title:"Frontiers in Guided Wave Optics and Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"deb44e9c99f82bbce1083abea743146c",slug:"frontiers-in-guided-wave-optics-and-optoelectronics",bookSignature:"Bishnu Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"371",title:"Abiotic Stress in Plants",subtitle:"Mechanisms and Adaptations",isOpenForSubmission:!1,hash:"588466f487e307619849d72389178a74",slug:"abiotic-stress-in-plants-mechanisms-and-adaptations",bookSignature:"Arun Shanker and B. 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Therefore, several pest and weed management techniques were adopted by farmers all over the world using various synthetic herbicides. The invention of glyphosate (GLY; N-(phosphonomethyl) glycine) was a big breakthrough in that era. GLY with CAS No. 1071-83-6 is a broad-spectrum, postemergent, nonselective, and synthetic universal herbicide, whose commercial formulations are referred to as glyphosate-based herbicides (GBHs) [1, 2]. Glyphosate was first synthesized in 1950 by Swiss chemist Henry Martin, who worked for the Swiss company Cilag. The work was never published. Its herbicidal activity was not discovered until GBHs were resynthesized and tested in 1970, being used for this purpose since 1974. It was the Monsanto Corporation in 1974 that introduced and made commercially available the herbicidal formulation Roundup containing GLY as active substance. Farmers quickly adopted glyphosate for agricultural weed control, gaining the potential to kill weeds without killing their crops. Indeed, glyphosate proved able to kill weeds without killing their crops, especially annual broadleaf weeds and grasses known to compete with commercial crops grown around the globe by interfering with the synthesis of the aromatic amino acids phenylalanine, tyrosine, and tryptophan [3].
\nSince then, its use in agricultural and nonagricultural settings has steadily increased from a total of 0.6 Mg applied in 1974 to a total of 125.5 Mg applied in 2014, and it is currently the most widely used herbicide in the United States and throughout the world [4, 5]. Monsanto’s last commercially relevant US patent expired in 2000. Nowadays, GLY formulations that are used as a broad-spectrum systemic herbicide have been widely applied in agronomic crops and orchards. Furthermore, GLY formulations are currently approved by regulatory bodies and marketed worldwide by many agrochemical companies, such as Bayer, Dow AgroSciences, and Monsanto, in different solution strengths and with various adjuvants.
\nGLY approval is renewed in the European Union (EU) on 16 December 2017, while its approval expires on 15 December 2022. Therefore, GLY can be used as an active substance in plant protection products (PPPs), until 15 December 2022. GLY has been thoroughly assessed, under an intense debate due to a concern about its effects on the environment and human health, by the Member States, the European Chemicals Agency (ECHA), and the European Food Safety Authority (EFSA) in recent years [6, 7]. An important prerequisite for GLY upcoming renewal as an ingredient in PPPs is that GLY should not adversely affect the environment and human and animal health as delineated by European regulation [8].
\nGiven the widespread use of glyphosate, the investigation of the relationship between glyphosate and soil ecosystem is critical and has great significance for its valid application and environmental safety evaluation. Although herbicides containing glyphosate are not intentionally applied directly to the soil, they may contaminate soils in and around the treated areas, via spray drift during their application and after being washed off from leaf surfaces with rainfall.
\nThe fate of glyphosate in soil is complex and attributed to mineralization, degradation, immobilization, and leaching. Several studies trying to identify and understand the mechanisms that control the fate of chemicals as a source of environmental contamination have been published in previous years, especially in soils and water. Some were conducted with the acid form of glyphosate and others with formulated products, since glyphosate is not introduced into the environment as pure active ingredients but as formulated products containing co-formulant chemicals (adjuvants) and other additives. In a recent review, Mesnage et al. presented an overview of the most common surfactants containing co-formulants in glyphosate-based herbicides and explained whether the presence of such surfactant (e.g., Triton CG-110) has the potential to affect adsorption, leaching, and mineralization of glyphosate in the soil [9].
\nThe fate of glyphosate depends on soil composition, its physicochemical properties (texture, organic matter content, pH), its biological properties (microbial community, climatic conditions), the chemical properties of the specific pesticide, as well as the timing between precipitation and pesticide application [10, 11, 12, 13]. A recent study by Muskus et al. showed that temperature, pH, and total organic carbon (TOC) variations influenced the mineralization kinetics of glyphosate as well as the amount of extractable glyphosate and the extent of bio-NER formation over time in a German soil [14].
\nGlyphosate degrades at a relatively rapid rate in most soils, with a half-life estimated to be between 7 and 60 days. The relatively rapid degradation of glyphosate has the advantage of limiting its role in polluting the environment, especially soil and water resources. However, its degradation could increase the pollution risk by its metabolites: aminomethylphosphonic acid (AMPA) and/or sarcosine. The degradation of the herbicide molecule as described in the literature (Figure 1) can follow two paths: the first is based on the breakdown of the carbon-nitrogen bond and leads to the formation of AMPA (main metabolite of glyphosate) via glyphosate oxidoreductase which is further degraded to carbon dioxide, while the second way is based on the splitting of the carbon-phosphorus (C-P) bond that is mediated by C-P lyase enzyme and results in the formation of sarcosine and glycine [15, 16, 17, 18, 19, 20]. However, AMPA also exists in the environment as a photodegradation product of aminopolyphosphonates in water [21].
\nMain glyphosate biodegradation pathways in the environment [
Glyphosate is a small, amphoteric molecule characterized by three polar functional groups. These are the phosphonomethyl, amine, and carboxymethyl groups arranged in a linear manner. As a result of the presence of those groups in its structure, glyphosate is an ionic compound (log KOW = −3.20), highly polar and soluble in water (10.5 g L−1 at 20°C). GPS is a polyprotic acid with four pKa values, 0.7, 2.2, 5.9, and 10.6, 8 meaning that the speciation of the molecule is dependent upon the pH value of the solution. Three pKa values, 0.9, 5.6, and 10.2, characterize AMPA. Over the pH values commonly found in soils, mono- and divalent anions are the predominant species present [6, 22].
\nGlyphosate is soluble in water, but it also binds onto soil particles under certain conditions, particularly in clays. Numerous laboratory studies have shown that the absorption constant of the molecule in the soil varies between 8 and 377 dm3/kg. This coefficient value indicates a high absorption in the soil. Glyphosate adsorption to soil, and later release from soil, varies depending on the characteristics and composition of the soil (clay, sand, or gravel), temperature, and soil moisture. So it may quickly wash out of sandy soils or last for more than a year in soils with a high clay content. Even when bound to soil particles, it may dissolve back into soil water later on, for example, in the presence of phosphates. Glyphosate can also form complexes with metal ions, potentially affecting the availability of nutrients in the soil.
\nThe mechanism of glyphosate sorption to soil is similar to that of phosphate fertilizers, the presence of which can reduce glyphosate sorption [23]. Glyphosate compared to most other pesticides strongly absorbs to soil and is not expected to move vertically below the six-inch soil layer, exception made of a colloid-facilitated transport. Its soluble residues are expected to be poorly mobile in the free pore water of soils. The mobility of glyphosate in soil is very low because, as a strong chelating agent through the carboxyl, phosphonate, and amino groups, it creates the complexes that immobilize the mineral micronutrients of the soil (calcium, iron, magnesium, manganese, nickel, zinc, etc.) making them unavailable to plants [11, 24]. Similar to glyphosate, AMPA accumulates in soil and adsorbs in soils with high mineralization rates. Where strong sorption is demonstrated, glyphosate accumulation in soils can be expected. The interaction of pesticide-soil and the diffusion process lead to the formation of non-extractable residues trapped in areas not accessible to water flowing through the soil. The contamination of the environment is therefore considered to be relatively limited.
\nNevertheless, this adsorption is not permanent because glyphosate can also be found in lower soil layers. Many studies suggest the possibility of a slow remobilization of these residues, which could explain the low pollution level of groundwater by some pesticides at a long term. Glyphosate does have the potential to contaminate surface waters through erosion, as it adsorbs to soil particles suspended in runoff. Rain events can trigger dissolved glyphosate loss in transport-prone soils [25, 26].
\nThe increase of glyphosate-based herbicides has raised concerns about the occurrence of GLY and AMPA in the environment. Reports of GLY presence in the environment from other parts of the world are numerous. A considerable attention has been given to Argentina [27, 28, 29, 30], Canada [31], across the United States [32], Mexico [33], and Portugal [34] as well to Spain [35], New Zealand [36], Austria [37], and French [38].
\nHowever, although GLY is the most sold herbicide in Europe, a combined approach on the occurrence and levels of glyphosate residues in European soils and air, in conjunction with analytical methods used for this scope, is still scarce, compared to the magnitude of its use though some research articles and reviews (not only focusing on soil) started to appear (indicatively see [39, 40, 41]).
\nThe first large-scale assessment of distribution of GLY and AMPA in soils from agricultural topsoils of the European Union was recently published by Silva, where glyphosate and its metabolite AMPA were tested in 317 EU agricultural topsoils; 21% of the tested EU topsoils contained glyphosate and 42% contained AMPA, while both glyphosate and AMPA displayed a maximum concentration in soil of 2 mg kg−1. Both compounds were present at higher frequencies in northern soils, while eastern and southern regions generally had the most glyphosate- and AMPA-free soils (<0.05 mg kg−1), respectively. In addition, some contaminated soils were observed in areas highly susceptible to water and wind erosion [42]. Therefore, residue threshold values in soils are urgently needed to define potential risks for soil health and off-site effects related to export by wind and water erosion.
\nIn order to detect the presence and quantity of GLY dispersed in the environment, various laboratory analyses are performed on samples taken in situ.
\nOne of the key problems for obtaining reliable results from field samples is the use of the best suitable extraction solution, since sorption and desorption of glyphosate in soils are extremely pH dependent. Some reports showed that humic substances (substances and heterogenic mixtures dispersed and abundant in soils and sediments) adsorb glyphosate strongly due to the hydrogen bonding interactions between the two matrices. Another important aspect is that GLY is a highly polar herbicide, very soluble in water and insoluble in most organic solvents, which does not allow extraction with organic solvents and makes the extraction difficult and the preconcentration step quite lengthy. However, due to the amphoteric character of GLY and AMPA, both anionic and cationic resins have been used for preconcentration and cleanup purposes (commented in the below sections).
\nAs already mentioned, GLY has been shown to bind strongly to soils, especially to soils with high amounts of organic matter, iron, and aluminum [43, 44]. There is also evidence that glyphosate binds to clay minerals in a manner similar to inorganic phosphate [44, 45, 46]. The strength of the interactions of the phosphonate, carboxyl, and amino groups with iron oxides, silica, alumina, and organic matter depends on factors such as pH, metal cations, phosphate from fertilizers, etc. Therefore, it is hard to detect GLY without a pretreatment method [47].
\nThe choice of the best suitable extraction solution remains a problem that must be addressed accordingly.
\nSeveral authors in the past reported different extraction methods of these compounds from soil, mainly using alkaline solutions with different recovery rates [48, 49, 50, 51] and most times applicable for one type of soil. In 1980 the FDA’s “Pesticide Analytical Manual” (PAM) including a procedure for the analysis of glyphosate residues in soil is published. However low and irreproducible recoveries in soil samples have been reported using this method. Later, Glass in 1983–1984 analyzed soils by alkaline extraction, followed by cleanup using flocculation with CaCl2 and anion exchange [52, 53, 54]. Yet, recoveries were still remained poor and ranged from 19 to 55%. Many extractants for soil have been tested in the years that followed with the most commonly used being aqueous bases KOH or NaOH, aqueous NH4OH or NH3, or triethylamine. Other extractants include NaHCO3, KH2PO4, mixed solutions of KH2PO4 and NH3 or NH4OH and HPO4, sodium borate buffers [55, 56, 57, 58, 59, 60], or even weak acids such as 10% phosphoric acid buffers [13, 61].
\nMoreover, it is vital to adjust the concentration of the extraction media in such a way that high recovery rates can be obtained while avoiding matrix problems provoked by excessively aggressive alkaline media, which may enrich the dissolved humic substances in the extraction solution [49]. Humic acids interfere, for example, with the derivatization and suppress the ionization in ESI-MS/MS detectors.
\nAlthough GLY is the most widely used agrochemical in the world, it is also the most cumbersome in its determination in analytical methods, a fact known as the “glyphosate paradox.” The challenge to detect GLY using a simple analytical method is an outcome of its ionic character, low volatility and low mass, high polarity and solubility in water, poor solubility in common organic solvents, high boiling points, difficult evaporation, and poor retention on traditional analysis columns. The quantitative and qualitative analyses of GLY (and AMPA) are extremely difficult due to the absence of fluorophores or chromophores in their structure. Furthermore, its determination at the low concentration levels required for residue analysis in different matrices is very difficult. In soil its determination is even more difficult due to the complexity of this matrix and subsequent matrix effects. The derivatization process using different derivatization reagents has been extensively used to overcome some of the above problems [62].
\nPrior to any attempt, it is important that all analysts to work with a glass that is not silanized to avoid the typical pitfall of GLY analysis. GLY has a profound affinity to glass, and any analytical solution prepared by this way will deviate substantially from its nominal concentration.
\nChromatography is the most used and powerful method for the determination of GLY and its main metabolite AMPA, utilizing gas chromatography (GC) and liquid chromatography (LC) after derivatization or directly and capillary electrophoresis (CE). Conventional detectors are difficult to be used (especially for a straightforward analysis) due to the lack of chromophore and fluorophore groups in GLY. Usually, the limits of detection for GLY in soil vary between 0.01 and 0.3 mg/kg.
\nIn all cases, the analytical methodology is practically exclusive for this analyte, since the working conditions cannot be applied to the determination of pesticides different from glyphosate, except for some organophosphorus, such as glufosinate and other polar compounds, and this chemical is difficult to incorporate in the vast majority of multiresidue methods. However, many of the methods published for the determination of GLY are also suitable and report results for the determination of AMPA. The majority of developed analytical methods concerned a single matrix (most often water) and may not be suitable for other matrices. Therefore, the last decade, numerous revised methods have been published on the analysis of glyphosate and AMPA in different matrices such as water, plants, or soils. Many of them just modify several parameters of previously published methods, as the pH of the water in the extraction, cleanup procedure, and derivatization step (volume and/or concentration of the samples or reagents). Other modifications include the use of different separation techniques or detection systems or even new matrices. Fewer new methods have been reported in the past 5 years for more complex matrices such as soil. Very few articles have been published on multimatrix methods.
\nIn Table 1 numerous analytical methods that have been used for the determination of GLY and AMPA in soil matrices are summarized. Based on the given information, at present LC is the most used method since it is considered the most suitable technique for the detection of phosphonic and amino acid-type herbicides at low concentrations. Hence, the lack of chromophore or fluorophore groups makes it difficult to use conventional detection methods such as ultraviolet (UV) absorption or fluorimetry. LC–MS/MS is currently the method of choice for polar analytes due to its high selectivity and sensitivity.
\nYear | \nSample preparation (extraction/cleanup) | \nDerivatization (pre- or post-column) | \nAnalytical method | \nLOD/LOQ μg/g | \nOther information | \nReference | \n
---|---|---|---|---|---|---|
1986 | \n0.1 M (C2H5)3 N/SAX cleanup | \nFDNB | \nHPLC-UV (405 nm) | \n0.05 GLY 0.1 AMPA | \n\n | [63] | \n
1988 | \n0.1 M KH2PO4 or 0.2 M KOH | \nFMOC-CI | \nHPLC-FLD (λex = 270 nm, λem = 315 nm) | \n0.5–1.0 GLY | \nMinutes till some days of analysis time 0.1 M KH2PO4 (sandy soils)/0.2 M KOH (high clay soils) | \n[50] | \n
1989 | \n0.1 M KH2PO4\n | \nTFAA-TFE | \nGC-NPD | \n0.01/0.05 | \nRecoveries 66–75% | \n[64] | \n
1991, 1999 | \n\n | TsCl | \nHPLC-UV (240 nm or 280 nm) | \n8 mg/L GLY 10 mg/L AMPA | \n\n | [64, 65, 66] | \n
1994 | \n0.25 M NH4OH and 0.1 M KH2PO4\n | \nHFB/TFAA (1:2) | \nGC–MS (EI-SIM) | \n0.01/0.05 GLU, 0.01/0.05 AMPA | \nRecoveries 84–97% | \n[67] | \n
1996 | \n0.6 M KOH | \nFMOC-CI | \nLC–LC/FLD (263 nm λex = excitation, λem = 317 nm) | \n0.01/0.05 GLY 0.01/0.05 AMPA | \nConcerning soil organic matter and clay contents, the LOQ can reach 0.01 μg/g for both analytes for sandy samples, and for soil samples with a high organic matter and clay contents, LOQ is of 0.04 μg/g for glyphosate and 0.1 μg/g for AMPA | \n[68] | \n
1996 | \nNaOH 0.2 M | \niso-PCF | \nGC-FPD | \n0.8/8.0 GLY 1.2/12 AMPA | \nRecoveries 91–106% | \n[69] | \n
2000 | \n1 M NaOH | \nTFAA/TFE (2:1) | \nGC–MS (EI) | \n0.003/0.006 GLY 0.003/0.006 AMPA | \nRecoveries 75–78% | \n[48] | \n
2002 | \n\n | \n | Cyan sensor | \n0.45 GLY | \nPhosphonomethyl glycine Inhibits amino acid biosynthesis | \n[70] | \n
2005 | \n0.6 M KOH | \nFMOC-CI | \nLC-ESI-MS/MS | \n0.005/0.05 GLY 0.005/0.05 AMPA | \nRecoveries 88–92% | \n[49] | \n
2007 | \n0.1 N NaOH/SAX-SPE | \nFMOC-CI | \nHPLC-ESI-MS/MS | \n0.02/0.035 GLY 0.03/0.05 AMPA | \nMean recovery values were 70% (7%) for GLU and 63% (3%) for AMPA | \n[71] | \n
2008 | \n2 M NH4OH | \nTFAA/TFE | \nGC-NPD | \n0.01 GLY | \nRecoveries 88–94% | \n[72] | \n
2009 | \n0.1 M KOH/CAX cleaned up | \nFMOC-CI | \nHPLC-FLD | \n0.025 | \n\n | [55] | \n
2009 | \n2 M NH4OH | \n1. CS2 2. Ammonical solution of Cu(II) | \nUV 435 nm | \n1.1./3.7 μg/mL GLY | \n80–87% | \n[73] | \n
2010 | \nWater | \n\n | CE/MS (negative with amino capillary) | \n20 GLY 40 AMPA | \nRecoveries 76–121% (20/200/2000) for GLY and 83–89% (40/400/4000) for AMPA | \n[74] | \n
2011 | \nWater | \n1. Ca(ClO)2\n 2.OPA/ME | \nSIA-FLD (λex =270 nm, λem =315 nm) | \n0.08/0.25 mmol/L GLY | \nPre-column conversion: 1. of glyphosate to glycine by Ca(ClO)2; 2. followed by reaction with OPA/ME in borate buffer (pH 9.5) to produce the fluorescent 1-(2′-hydroxyethylthio)-2-N-alkylisoindole | \n[75] | \n
2012 | \n0.2 M KOH | \n\n | SWV using CFME | \n25/83 μg/L GLY | \nRecoveries 89–102% | \n[76] | \n
2013 | \n0.1 Μ ΚΟΗ/SPE | \nFMOC-CI | \nHPLC-ESI-MS/MS using reversed-phase C18 | \n0.02/0.05 GLY 0.01/0.03 AMPA | \nRecoveries 79–117% | \n[77] | \n
2014 | \n0.6 M KOH | \nFMOC-CI | \nHPLC-FLD (λex = 267, λem =317 nm) using reversed-phase C18 | \n0.5 GLY 0.5 AMPA | \n\n | [57] | \n
2014 | \n10% H3PO4\n | \n\n | SPE-HPLC-ESI-MS/MS (using HILIC) | \n0.37 GLY 0.61 AMPA | \nRecoveries 85–126% | \n[61] | \n
2014 | \n0.01 M | \nFMOC-CI | \nSPE-HPLC-FLD (λex =263 nm and λem =317 nm) | \n0.6/2.0 ng/mL GLY 0.4/1.3 ng/mL AMPA | \n\n | [78] | \n
2014 | \nWater | \nHCl/NaNO2\n | \nDIPN-GNPs-PGE | \n0.35 ng/mL GLY | \n1.0 g soil was suspended in a 30 mL water Recoveries 98.6–102.8% | \n[79] | \n
2016 | \nWater | \n\n | IS-FLD using lgG-CDs | \n0.35 ng/mL GLY | \nRecoveries 87.4–105.5% | \n[80] | \n
2015 | \n1 M Na2B4O7\n | \nFMOC-Cl | \nHPLC-PDA (206 nm) | \n0.01/0.1 GLY 0.01/0.1 AMPA | \nRecoveries 70–76% Confirmation with QTOF MS | \n[16] | \n
2015 | \nNaOH | \nFMOC-Cl | \nHPLC-UV (254 nm) | \n— | \n\n | [3] | \n
2015, 2016, 2018 | \n0.6 M KOH | \nFMOC-CI | \nHPLCMS/MS/using reversed-phase C18 | \n0.02/0.05 GLY 0.03/0.05 AMPA | \nRecoveries 77–87% | \n[81, 82, 83] | \n
2016 | \nNaOH | \nFMOC-CI | \nSPE-HPLC–MS | \n0.02 mg/L GLY 0.05 mg/L AMPA | \n\n | [84] | \n
2018 | \nNH4Cl | \nFMOC-CI | \nUV–Vis (264 nm) | \n20 GLY | \n\n | [85] | \n
2018 | \nKOH | \nFMOC-CI | \nSPE-HPLC–MS | \n\n | 0.001 GLY 0.001 AMPA | \n[86] | \n
2018 | \n0.1 M K2PO4\n | \nFMOC-CI | \nHPLC-MS (negative ionization) | \n0.002 GLY 0.005 AMPA | \nRecovery 80% | \n[27] | \n
2018 | \n40 mM Na2B4O7 or NaHCO3 0.5 M | \n2% succinic anhydride IN DMSO | \nL’ELISA (via microtiter plate reader at 450 nm) | \n0.8 10–3/0.1 GLY | \nRecoveries 87.4–97.2% (0.1–10 μg/g) confirmed with HPLC-FLD (by Ibanez) | \n[87] | \n
2019 | \n0.6 M KOH | \nFMOC-CI | \nLC-ESI-MS/MS using reversed-phase C18 | \n\n
| \nRecoveries from 89.6 to 118.8% for GLY and from 68 to 94.6% for AMPA | \n[88] | \n
2019 | \nWater | \nHFBA/FBA | \nSPE-GC-FPD | \n0.10/0.37 ng/mL GLY 0.22/0.81 ng/mL AMPA | \nRecoveries 94–110% | \n[89] | \n
2019 | \n\n | 1. Ca(ClO)2\n 2.OPA/ME | \nSIC-FLD | \n0.03/0.10 GLY | \nPre-column conversion: 1. of glyphosate to glycine by Ca(ClO)2; 2. followed by reaction with OPA/ME in borate buffer (pH 9.5) to produce the fluorescent 1-(2′-hydroxyethylthio)-2-N-alkylisoindole | \n[90] | \n
Main characteristics on the methods used for the determination of GLY and its main metabolite in soil matrices.
Solid-phase extraction = SPE; anion exchange = SAX; cation exchange = CAX; Flame photometric detector = FPD; nitrogen-phosphorus detector = NPD; fluorescence detector = FLD (λex = excitation; λem = emission); capillary electrophoresis = CE; immunosensor = IS; square wave voltammetry = SWV; carbon-fiber microelectrode = CFME; double template imprinted polymer film-gold nanoparticle-modified pencil graphite electrode = DIPN-GNPs-PGE; carbon dot-labeled antibodies = lgG-CDs; sequential injection chromatography = SIC; sequential injection analysis = SIA; linker-assisted enzyme-linked immunosorbent assay = L’ELISA; laser-induced fluorescence detection = LIF; Fluorenylmethylchloroformate = FMOC-Cl; 1-fluoro-2,4-dinitrobenzene = FDNB; trifluoroethanol = TFE; N-methyl-N-(tert-butyldimethylsilyl)-trifluoroacetamide = MTBSTFA; 2,2,3,3,4,4,4-heptafluoro-1-butanol = HFB; trifluoroacetic anhydride = TFAA; heptafluorobutyric anhydride = HFBA; isopropyl chloroformate = iso-PCF; o-phthalaldehyde/2-mercaptoethanol = OPA/ME; 4-toluenesulfonyl chloride = TsCl.
Gas chromatography methods are used after derivatization by simultaneous acylation, esterification, or trialkylsilylation reactions to convert the analytes into volatile compounds [69, 91, 92]. Typically used derivatization reagents are the mixture of trifluoroacetic anhydride (TFAA) and trifluoroethanol (TFE) or N-methyl-N-(tert-butyldimethylsilyl)-trifluoroacetamide (MTBSTFA) containing 1% tertbutyldimethylchlorosilane (TBDMCS) in excess producing sufficiently volatile derivatives for GC analysis. These derivatization approaches can be applied not only to soil (or sediment) but to other commodities as well [91].
\nGLY as a compound permits its detection (in conjunction with GC) by several detectors such as the flame photometric detector (FPD), flame ionization detector (FID), electron capture detector (ECD), nitrogen-phosphorus detector (NPD),and also the more sensitive and selective mass spectrometer detector (MSD). The quantification of GLY in the soil through NPD has reached an limit of quantification (LOQ) equivalent of 0.02 mg/kg [93, 94]. GC analytical methods are reliable, sensitive, and selective, but the sample preparation is very time-consuming, complicated, and tedious as all ionic groups must be derivatized. In addition, they involve anhydrous conditions, extensive cleanup using solvent partitioning steps, charcoal elimination of pigments, and a large-volume anion of cation exchange.
\nBorjesson and Torstensson using GC-MS managed to sensitively detect GLY and AMPA in soil [48]. One point that should have been addressed was the content of humic acids a problem mentioned above as well. Extraction was tedious, involving extraction under basic conditions, adjustment of the pH to acidic, and then subjected to column purifications to achieve ligand-anion exchanges. To derivatize GLY and AMPA TFE and TFAA were used. By this way the respective ester and acetyl derivative are formed suitable for GC analysis.
\nUtilizing the S/N approach, they presented one of the lower LOQs of the bibliography for GLY, established at 0.006 mg/kg. The application of the method in soils collected from Swedish embankments after being treated with GLY revealed the gradual degradation of GLY along with the presence of AMPA.
\nBergstrom et al. investigated at laboratory level GLY and AMPA in sand and clay soils [13]. More specifically, its degradation was monitored using a GC-MS method, after derivatization with TFE and TFAA. The extraction of the soil was accomplished using an alkaline solution. Selected ion monitoring was utilized to enhance selectivity and optimize sensitivity of the method. The LOQ of the method was established at 0.01 mg/kg. The studied kinetics demonstrated that GLY had a very slow degradation rate in the clay soil. Concerning AMPA, though it is more tenacious than GLY (when derived from GLY), it degrades faster than GLY.
\nA 2019 study on GLY and AMPA analysis in soil showed that still GC-FPD can function as an adequate tool for such demanding analyses [89]. This research was intrigued by the obstacles observed in derivatization in connection with the by-product interferences in high-performance liquid chromatography (HPLC) analysis (when MS/MS mode is not utilized), which lead to inferior selectivity. Consequently, the soil samples were mixed, turned to powder, and then ultrasonic extracted using water assisted by a solid-phase extraction (SPE). After derivatization, the samples were subjected to chemical analysis. A breakthrough of this process was the three-cross derivatization, and the elaborate investigation of its optimization, aided by the orthogonal experimental design. Such design is fundamental in the selection of the optimum conditions, in this case, reaction temperature, time, and ratio of the derivatizing-coupling reagents.
\nGC-NPD was utilized by Hu and coworkers to analyze GLY in soil, using GC-MS for verification [72]. Extraction was performed in alkaline environment, followed by acidification in the dry extract. The authors stated that NH4OH was the most adequate extractant due to lesser extracted interferences than other alkaline agents, though in other works other agents are selected [48]. Derivatization was accomplished by the use of TFE and TFAA, followed by a liquid extraction using methylene chloride. The method verified the degradation of GLY in soil in apple orchards.
\nThe availability of derivatization techniques compatible with an aqueous extract or sample and the chromatographic separation makes LC a more attractive pre-column derivatization [91]. Derivatization approach is used to produce fluorescent derivatives and to enhance their retention in hydrophobic stationary phases prior to detection by fluorescence detection (FLD), UV detection, electrochemical detection (ECD), or tandem mass spectrometry (MS/MS). In post-column procedures, the most known reactions are ninhydrin derivatization accompanied by UV detection and fluorogenic labeling with o-phthalaldehyde (OPA) in mercaptoethanol or N,N-dimethyl-2-mercaptoethylamine after oxidation of glyphosate to glycine.
\nAlthough GLY and its derivatives show high sensitivity in LC determination, a laborious cleanup procedure such as ion-exchange column chromatography is required which may result in some sample loss and lower reproducibility, or many laboratories do not have the facilities required for this type of pre- or post-column fluorogenic labeling. The use of either hydrophilic/weak exchange or reversed-phase/weak exchange mixed-mode chromatography without any derivatization, followed by diverse detection techniques including tandem mass spectrometry detection, is gaining interest [77, 95]. HPLC methods are highly sensitive with fluorogenic labeling, but they lack specificity and usually require a laborious cleanup procedure such as ion-exchange column chromatography, which may result in some sample loss and lower reproducibility.
\nPre-column procedures are a good alternative to post-column ones, and this has gradually come to play an important role in the analysis of glyphosate. The easier, less demanding and more current popular method to analyze these compounds is derivatization with 9-fluorenylmethylchloroformate (FMOC-Cl) followed by HPLC with FLD or MS/MS. A factorial experimental design was applied by a Chilean group in a critical analysis of this derivatization reaction [78]. The design was studied in aqueous soil extracts, unveiling the proper equilibrium between agents for the successful completion of the reaction. For example, excess of FMOC-Cl is required since there are also other active centers (amine-hydroxy groups) with which FMOC-Cl can react. Isotherm data verified the broad applicability of this method.
\nBack in the 1990s, Sancho et al. established a method for the analysis of GLY in soil samples that involved a pre-column derivatization step with FMOC-Cl and subsequent estimation by coupled-column liquid chromatography with fluorescence detection (LC–LC/FLD) [68]. However, for the determination of glyphosate in soils based on FMOC derivatization analytics, an extraction procedure including an SPE cleanup step has been used in many studies and considered more efficient [37]. In particular, Todorovic et al. extracted soils using sodium tetraborate. Once again, a group devoted substantial time in the extraction of GLY and AMPA from soil due to the complex sorption and desorption in soil which is also pH dependent. The sodium tetraborate performed better in terms of chromatographic efficiency than KOH extraction (more matrix interferences, more humic substances, etc.). The authors after derivatizing GLY and AMPA with FMOC-Cl cleaned up-enriched the extract with a polymeric SPE cartridge. Overall, the method was fit for purpose based on the analytical results on three different types of soils.
\nBotero-Coy et al. have established a method based on LC–MS/MS, which was successfully applied to soil samples from Colombia and Argentina [77]. This work was an improvement of the previous work in the same domain [49]. In that work, the soil samples were extracted with potassium hydroxide solution and purified with SPE Oasis HLB cartridges. A pre-column derivatization step was also required in this method for which 9-fluorenylmethylchloroformate (FMOC-Cl) was used and the purification method using SPE cartridges was troublesome and expensive. Despite these difficulties, the analysis was conducted in Spanish soils with success. But, when soil samples from the mentioned countries were analyzed by the specific protocol, their high organic content proved an obstacle in the analysis. For this reason the authors introduced a dilution step of the extract assisted by pH adjustment to 9, before the SPE step. For SPE the polymeric reversed-phase Oasis HLB cartridges proved better in retaining-releasing the FMOC derivative than Oasis MAX used with good results.
\nInternal standard’s use compensated possible downsides during sample preparation and corrected matrix effects. An additional tool in this work was the use of high-resolution mass spectrometry exploiting the time-of-flight technology. By this way additional interferences that would affect the analysis were further elucidated using the accurate mass full-acquisition data. It is noteworthy that the authors investigated MS ions used in the MS/MS mode. Interestingly, MRM transition containing the m/z 179 was problematic since it is related to FMOC and lacks specificity. In our work (see below), the specific ion was monitored only in AMPA transition, solving this issue [88]. Overall, the analysis verified the presence of GLY and AMPA in the majority of samples.
\nAnother work in the field of GLY analysis in soil/sludge using FMOC-Cl as a derivatizing agent was presented by Sun and coworkers [96]. In this context, an optimized sample preparation protocol was developed, applying extraction with sodium phosphate and trisodium citrate solutions (aqueous) and a purification step using hexane in acidified soil. The rationale behind the use of trisodium citrate was to counteract the effect of other metal ion complexing agents (such as Mg2+, Ca2+, etc.), in which GLY binds. The method was validated in three types of soils (and sludge samples) verifying that it was fit for purpose. The demonstrated LOQ was determined at 0.04 mg/kg.
\nA pre-column derivatization was applied by Druart and coworkers, embracing glufosinate also in their portfolio [60]. A detailed study was conducted on the parameters governing the extraction of the analytes from the matrix. Accelerated solvent extraction, ultrasonic extraction, and magnetic stirring agitation were tested to achieve optimum conditions. In the end agitation was selected. The group also optimized derivatization by selecting water as the solvent of the reaction, though the previous study showed that an equivalent mixture of H2O:ACN would compromise the solubility of both GLY and FMOC-Cl reagents [97]. In the same study, it was demonstrated that a C18 column of 30 cm superseded other columns tested, even a respective NH2 column broadly used for such separations.
\nIn addition our group has developed a methodology for GLY and AMPA detection in topsoils originating from Greece [88]. The sample preparation was envisaged by previous works (one of our group) [49, 98]. The LC–MS/MS method developed was adequate for the analysis of both active substances, showing that GLY and AMPA were detected in 37 and 45%, respectively, of the samples investigated. A breakthrough of this work was the association of the results with the land use utilizing geographical information system (GIS) databases.
\nGLY in soil is studied for registering not only its residual prevalence (including AMPA’s) but also its degradation dynamics. With this in view, Zhang et al. investigated its dynamics using an HPLC-FD method, utilizing FMOC derivatization [3]. Results of this study showed that the degradation is dependent on the physicochemical parameters of the soil, exemplified by the pH. The behavior of GLY and AMPA was investigated in compost-amended soils by Erban and colleagues [86]. Soil depth was disclosed as a key factor on the concentrations detected. GLY and AMPA though showed a different behavior when moisture and saturated hydraulic conductivity are considered. More specifically, GLY was affected principally by moisture, whereas AMPA was impacted by this conductivity.
\nOliveira-Pereira and colleagues, in the context of adsorption studies, determined GLY and AMPA using a low-cost reversed-phase sequential injection chromatography method [90]. More specifically, GLY was converted (pre-column) to glycine (using hypochlorite). Then, by reaction with o-phthaldialdehyde, the respective fluorescent indole was formed. Expectedly, this reaction reduces the polarity of the indole derivative making it adequate for analysis under reversed-phase conditions (e.g., C18).
\nDirect analysis of GLY and AMPA, avoiding the derivatization step, is still a challenge for the analysts. In this context, Marek and Koskinen developed a method for the straightforward analysis of GLY and AMPA in soil using for separation a Bio-Rad cation H exchange column coupled to LC–MS/MS [61]. The sample preparation involved mixing of soil with phosphoric acid solutions and sequential extractions advancing from a specific SPE technology. The combined extracts were purified using IC-Chelate cartridges known for their ability to exchange transition metals and divalent cations. A portion of the end extract was reacidified and passed through an IC-RP SPE cartridge to eliminate hydrophobic interferences prior to analysis. This work managed to provide very high recoveries for both substances regardless of the type of soil, which is a clear advantage.
\nDue to the chemical nature of GLY, its analysis can be pursued under normal phase conditions, utilizing the same framework, the golden standard—HILIC. The latter is used in the efficient separation of a plethora of polar compounds, including pesticides. Despite its application for the separation of challenging polar pesticides, including GLY, in a variety of commodities [99], seldom are the reports for GLY analysis in soil. Marek reported a poor chromatographic performance when HILIC conditions (only one HILIC column was used; data were not shown) were used in the determination of GLY in soil and other matrices [61]. Hence, efforts need to be made in this direction, considering the inherent advantages of analyses of polar compounds under these conditions.
\nCapillary electrophoresis methods have been reported in recent years using detection systems such as contactless conductivity, electrochemiluminescence [100], and laser-induced fluorescence [101, 102], as reviewed by Gauglitz et al. [103]. Ion chromatography [104], electrochemical method, surface resonance-enhanced spectrometry, enzyme-linked immunosorbent assay also called ELISA methods [87], spectrophotometry [73, 85], and fluorescent spectrometry [50, 55, 57, 75, 78, 80, 90, 96] were also reported to detect GLY in current literatures. However, the selectivity of ion chromatography was limited. Unlike other pesticides, the application of immunoanalytical techniques for glyphosate determination has been troublesome, although they have made some improvements.
\nIndicatively, El-Gendy and coworkers studied GLY in Egyptian soil samples using an optimized and sensitive linker-assisted enzyme-linked immunosorbent assay (L’ELISA) [87]. To derivatize GLY succinic anhydride was used. The method was well correlated with an HPLC-FD method that used sodium tetraborate for the extraction.
\nThe advances in cutting-edge technologies can further hyphen such methods with modern mass spectrometers to provide solutions that currently are disregarded or seem problematic.
\nThe environmental pollution instigated by the use of plant protection products, commonly referred to as pesticides, is one of the most serious problems that facing the world due to their potential toxicity, high persistence, and slow degradation. Pesticide fate in the environment is characterized by a number of complex processes occurring in different environmental compartments, such as air, soils, and plants [105]. A wide variety of pesticides has been detected in different environmental media, including water bodies, soil, and the atmosphere. The extended use of pesticides containing persistent active ingredients can lead to raised concentrations due to the accumulation in the environment and long-term exposure to nontarget organisms.
\nSince the last decades, there has been an increasing global concern over the human health impacts attributed to the environmental pollution and specifically to air pollution. During applications, a noteworthy segment of applied pesticides ranged from 15 to 40% is dispersed in the atmosphere and can travel with long-range atmospheric transport [106]. Thus, the atmosphere has been considered as an important spread vector at local, regional, and global scales. It has been reported in the international literature that air pesticide contamination was observed both in urban and rural areas with concentration levels ranging from some picograms to several nanograms per cubic meter [107]. However, the contamination of air by pesticides is an aspect of atmospheric pollution that remains less documented than that of other environments.
\nWorry over the transport of pesticides in air started in the 1960s with the detection of persistent and volatile substances such as DDT, dieldrin, and aldrin far from their application sites. The first legislation to consider air as an exposure route was in the United States in 1971. Since then the issue of pesticides in air has been subject to sporadic regulatory concern, especially in Europe [108].
\nMilestone legislation in Europe concerning pesticides in the atmosphere occurred in 1996 with the Stockholm convention on persistent organic pollutants (POPs). This regulation covers all chemicals, including pesticides, and lays down principles to identify substances for which aerial transport may be noteworthy [108].
\nLong-range transport in air and water can result in the exposure of remote and particularly vulnerable ecosystems such as the Arctic [109, 110].
\nPesticides enter into the atmosphere, and their residues can move away from the application sites resulting in accidental exposure for humans, animals, and plants, close or distant the treated sites. It is well recognized that the exposure and effect assessment of pesticides should not be constrained to the target area, and its close zone because this does not adequately cover possible hazards associated with their use.
\nThe most common routes of pesticide entry into the atmosphere could be the drift during their application, volatilization from the soil, surface water or crop foliage, as well as wind erosion of deposited residues [111, 112, 113]. Once they enter in the atmosphere, pesticides are distributed between the gaseous and particulate phases depending on parameters such as:
Octanol-air partition coefficient
Vapor pressure
Henry’s law constant
Water solubility
Total suspended particulate matter
Weather conditions [114]
In the atmosphere, pesticides are distributed between particle and vapor phases based on their vapor pressure, the ambient temperature, and the concentration of suspended particulate matter. Taking into account the low volatility of the majority of the most commonly used pesticides; it could be considered that they are often absorbed on the surface of atmospheric particles. In that way they may incur transformation processes resulting in the formation of secondary metabolites which could be even more hazardous than the parent released compounds [106]. Pesticides released into the atmosphere can settle to the ground, be broken down by sunlight and water, or dissipate into the surrounding air.
\nDuring and after the application of a pesticide, a considerable portion of the amount applied may enter into the atmosphere through many different routes (the most important will be briefly discussed) and consequently may be transported over shorter and longer distance.
\nThrough spray application of pesticides, a fraction of the spray would exist as pesticides in the gas phase and as small droplets or particles. The latter do not reach their target due to their extremely small size and cannot be captured by drift collectors. This fraction that exists in the gas phase and as aerosol should be taken into account along with drift.
\nVolatilization is defined as the transfer of pesticide residues into the gas phase after application. Volatilization from treated areas is a constant process and could be the main dissipative route for numerous pesticides [115]. Its extent is governed by the physical and chemical properties of the pesticide such as vapor pressure and Henry’s law constant; the application parameters such as the droplet size and the water volume; and finally the climatic conditions during and after application [108, 116]. Volatilization may be swayed by relative humidity, the atmospheric pressure, and the wind velocity [117]. The compound’s volatility with medium vapor pressure values is significantly influenced by environmental and application factors, whereas substances with high vapor pressure values present high volatilization which does not depend on other factors. It is broadly established in the literature that vapor pressure can be used to categorize pesticides with a very high or with no volatilization potential. Vapor pressure also rules the partitioning of a semi-volatile constituent between the gas and the airborne particle phases. According to Bidleman substances with a vapor pressure value higher than 10−2 Pa are mainly expected in the vapor phase, while those with vapor pressure value lower 10−5 Pa solely exist in the particle-adsorbed phase [118]. Pesticides with vapor pressure between 10−2 and 10−5 Pa values partition between these phases.
\nA significant amount of pesticides entering into the atmosphere for several days or weeks after pesticide application comprises volatilization from the soil and plant surfaces as well as wind erosion of soil particles containing sorbed pesticides [119, 120]. Many parameters such as the physicochemical properties of the pesticide (vapor pressure, solubility, adsorption coefficient, molecular mass, and chemical nature), the soil properties (water content, soil density, soil organic matter content, clay content/texture, soil pH), the weather conditions (air temperature, solar radiation, rain, air humidity, and wind), and the agricultural practices used (application date and rate and formulation type) may influence the volatilization process [111].
\nVolatilization from plants is considered up to three times higher than soil volatilization under similar meteorological conditions. The vapor pressure and Henry’s law constant are the physicochemical characteristics of the compound that seem to be related with the degree of volatilization. Additionally, application methods and weather conditions may also play an important role in the volatilization process from plants [121].
\nThe Focus Air group has deemed that vapor pressure is the most significant factor affecting volatilization and deemed that active ingredients applied to soil with vapor pressure values higher than 10−4 Pa and active ingredients applied to plants with vapor pressure values higher than 10−5 Pa have a high possibility to enter in the air and for that reason require a risk assessment evaluation before authorization [108].
\nPesticides existing in the aerial phase could be carried by wind and deposited accidentally in untreated areas by dry (gas and particle) and wet (rain and snow) deposition [122].
\nThe atmosphere could be efficiently cleaned of suspended particulate matter to which pesticides might be sorbed by rainfall, and thus gas-phase pesticides can partition directly into a falling raindrop [122].
\nHigh pesticide concentrations in the air could be considered seasonal and often associated with local use and thus occur during the spraying months [123]. The physical and chemical properties of each pesticide also play a significant role in determining if a pesticide converts airborne, whether it then exists primarily in the gaseous or particle phase, and how efficiently rainfall removes it from the atmosphere. The period of time that a pesticide is applied, its amount, and the cultivated area play also significant roles in whether a pesticide exists in the atmosphere and at which concentration [113].
\nGlyphosate (N-[phosphonomethyl] glycine), a broad-spectrum, nonselective, and post emergence herbicide, is the most widely used pesticide worldwide.
\nAlthough numerous laboratory and field studies have been carried out for the determination of glyphosate and AMPA in the aquatic environment, there are limited studies in field soils. Furthermore, atmospheric concentrations of glyphosate and AMPA are shabbily documented as very few studies have monitored them in the atmosphere [124].
\nThe first report about the atmospheric concentrations of glyphosate and AMPA had been published in 1991 in order to present the results of a study that had been conducted in 1988 in northeastern Finland for measuring the workers’ exposure to glyphosate when they used sprayers connected to brush saws. In that study glyphosate was determined from the breathing zone and from urine samples. Based on the results of this study and at the end of the spraying week, two air samples were found to have measurable levels of glyphosate at concentrations 2.8 and 15.7 μg m−3. AMPA had not been detected in any of the air samples [125].
\nIn 2002, Humphries et al. examined the atmospheric samples at three different sites in east-central Alberta. For the purposes of the study, air samples were collected before the application of glyphosate and after its application and for 24 h time period at regular intervals. Glyphosate was not detected in any of the collected air samples at levels above the method LOQ; however, it was detected in few particulate samples [126]. The nonexistence of glyphosate in the polyurethane foam indicates that glyphosate is not released as the vapor forms into the atmosphere but rather is carried by a particulate matter.
\nIn 2004, glyphosate was examined in 59 atmospheric samples in Hauts-de-France Region in France, with a detection occurrence of 14% and a maximum concentration of 0.19 ng m−3 [124, 127].
\nChang et al. reported that both glyphosate and AMPA had been detected in the ambient air of Iowa, Indiana, and Mississippi during two growing seasons of the years 2007 and 2008. Atmospheric concentrations of glyphosate reached 9.1 and 5.4 ngm−3 in Mississippi and Iowa agricultural areas, respectively; however atmospheric concentrations of AMPA touched 0.49 and 0.97 ngm−3 in Mississippi and Iowa, correspondingly. It had been concluded that the existence of glyphosate in air is due to spray drift or wind erosion as it is not a volatile compound whereas AMPA presence is due to wind erosion as it is a glyphosate degradation product and it is formed in soil [128]. The authors provided also measurements in rainwater and estimated that 97% of glyphosate existing in the atmosphere could be removed by weekly rainfall greater than 30 mm [129].
\nMorshed et al. determined the atmospheric concentrations of glyphosate in treated fields in Malaysia during spray applications by a mist blower [129]. The maximum concentration of 42.96 μgm−3 was measured for glyphosate, and additionally a first modeling attempt for the estimation of glyphosate emission to the atmosphere at regional level was done; however, there were no measurements to confirm the model output.
\nIn 2014, and specifically from July to November, Sousa et al. performed a study in northeastern Brazil, in the municipality of Limoeiro do Norte-Ceará, in urban and rural areas, for the determination of the atmospheric concentrations of glyphosate. Glyphosate detected at concentrations ranged between 0.313 and 2.939 μg m3 in all collected atmospheric samples [130].
\nDuring the years 2015–2016, glyphosate and AMPA were searched in 142 air samples during a 2-year field campaign in France. Samples were taken from both nonagricultural and agricultural areas, while atmospheric concentrations of glyphosate were detected at an overall frequency of 7%. AMPA was not detected in any sample. The maximum concentration of 1.04 ng m−3 was measured for glyphosate in the rural site of Cavaillon. As regards the temporal distribution of glyphosate, it had been pointed out that there was no reproducible detection pattern from 2015 to 2016 [125].
\nGenerally, a few number of monitoring studies have been conducted for the determination of pesticide residues in atmospheric samples. These studies could not provide consistent results due to the variability in experimental conditions, the lack of consistency in sampling methodologies, the variation in collection time and duration, the analytes selected, the analytical methods used [131], as well as the method detection limits. Most of the studies have been performed at the national level, they are short-term as they lasted from 1 to 2 years, and for that reason, the overall conclusion on the long-term trends and the atmospheric movements of pesticides could not been reached [108].
\nPesticides existing in the atmosphere are usually at very low concentrations, and thus appropriate sampling and techniques are necessary. The most common sampling techniques used for pesticides in the ambient air could be separated into two categories: the active and the passive or diffuse samplers [132].
\nActive samplers allow the pesticides existing in gaseous and particulate phases to be trapped by pumping air through a filter followed by a solid adsorbent. Thus, pesticides standing in the gas phase are stacked by the solid adsorbent, whereas pesticides in the particulate phase are maintained in the filter.
\nPesticides present in the atmosphere could be sampled through low-volume or high-volume samplers. As pesticide residues in the atmosphere are at very low concentrations, high-volume samplers are usually used [121].
\nFor sampling of semi-volatile pesticides, the use of diffusion denuder systems, which consist of a series of coaxial glass tubes coated with an appropriate adsorbent through which the air flows, is proposed [121].
\nPassive air samplers are devices that collect pesticides from the air without the use of pump, and they are comprised of an accumulating intermediate which has a high retention capacity for the target analytes. Passive samplers are able to gather only the free gaseous phase pesticides, while the length of sampling range from few weeks to several months, considerably larger than the usual time required using the active ones [121].
\nIn 1991, Jauhiainen et al. collected air samples for the determination of glyphosate from the breathing zone through a portable pump onto an absorption liquid [125]. The air samples collected were first evaporated to dryness and then dissolved with trifluoroethanol and trifluoroacetic anhydrite.
\nChang et al. used high-volume active samplers for collecting air samples for the determination of glyphosate. The glass fiber filters used were baked at 550°C, cooled to the room temperature, and enfolded in aluminum foil before sampling [128, 130]. The glass fiber filters after sampling were slowly grounded in a polypropylene tube and then extracted with hydrochloric acid (pH 2) and further with a potassium hydroxide solution (pH 11). Cellulose nitrate filters were used under vacuum for filtration [128].
\nRavier et al. used also high-volume samplers, and the particulate samples were collected on quartz microfiber filters. The filters after sampling were protected from the light and stored at −20°C [124]. Field air blank samples were also collected for the determination of the background contamination through handling and storage. The extraction of all the samples was performed in polytetrafluoroethylene or polypropylene vessels in order to avoid loss of the studied compounds via wall adsorption. According to Ravier et al., filters were extracted with ultrahigh quality water with the addition of appropriate quantities of Borax (0.05 M) and EDTA solutions. Polyethersulfone membranes were used for sample filtration. FMOC-Cl was used as a derivatization agent.
\nMorshed et al. performed a study for the determination of glyphosate in the atmosphere by using both active and passive sampling methods. For the purposes of the study, three different air samplers were used. Cellulose filter patches and polyurethane foam were used for passive samplers. Active samplers were also used for sampling and were connected to polyurethane foam plug for the determination of glyphosate existing in the vapor phase and a quartz fiber filter for the particulate phase of airborne glyphosate [129]. Sample extraction for both active and passive extraction methods was performed with borate buffer. FMOC-Cl was used as a derivatizing agent.
\nHigh-volume air samplers were used to collect suspended, airborne particulates and trap airborne glyphosate vapors in a study conducted in Alberta’s area. A volatile glyphosate was collected on a polyurethane foam plug and particulate glyphosate on a filter paper [126, 133].
\nSousa et al. used a glass sample holder in which a polyurethane foam (adsorbent medium) was placed. The particulate material was collected from the glass fiber filters. Glyphosate was determined in the atmosphere after extraction from polyurethane foams with a solution comprising of monobasic potassium phosphate and methanol in ultrapure water while the pH of the solution was maintained at 2 using concentrated phosphoric acid. The samples were concentrated in a C18 solid-phase extraction cartridge.
\nThe chromatographic analysis of glyphosate and AMPA is considered tough in trace analysis. Due to their low molecular weight, low volatility, thermal lability, and excellent water solubility, their extraction and determination are complex.
\nThe main analytical techniques used for the analysis of glyphosate in atmospheric samples are liquid chromatography equipped with diode array or fluorescence detectors and liquid chromatography interfaced with a quadrupole-time-of-flight mass spectrometer or mass spectrometry. However, gas chromatographic technique with ECD has also been used.
\nIn 1991 Jauhiainen et al. reported that a gas chromatographic system equipped with ECD and fused silica has been used for glyphosate determination in air samples. Additionally a triple-quadrupole mass spectrometer equipped with fused silica was used for identification purposes.
\nIn 2011 a liquid chromatographic method for the determination of glyphosate in air samples was reported [129]. The analytical standards (stock and working) were prepared in a 0.025 M sodium borate buffer (pH 9) solution. Prior to HPLC chromatographic analysis, working standards were pre-column derivatized with a derivatizing agent (0.002 M FMOC-Cl). The liquid chromatographic system consisted of a florescence detector and a Hypersil NH2 chromatographic column, while the mobile phase comprised of 50% phosphate buffer (0.05 M potassium phosphate monobasic KH2PO4 adjusted to pH 6.0 with 7 N KOH). The glyphosate retention time was 5.6 min and the total run time was 10 min. The LOD of the method was 0.015 μg ml−1, while the LOQ was 0.05 μg ml−1 and determined through the linear calibration curve.
\nChang et al. reported another method for the determination of glyphosate and AMPA by using a liquid chromatography tandem mass spectrometer. Both glyphosate and AMPA were derivatized with 9-fluorenylmethylchloroformate before analysis. A gradient elution system comprised of 95% of 5 mM ammonium acetate in HPLC-MS-grade water to 100% HPLC-grade acetonitrile was used. The molecular ion and the fragment ion for glyphosate were 390 and 168. In the case of AMPA the molecular ion and the fragment ions were 332, 110, and 136 [128].
\nZhang et al. performed the analyses for the determination of glyphosate in the air samples of workplaces by ion chromatography using a conductivity detector. The limit of detection was found to be 0.003 mg/m3. The recovery ranged between 94.8 and 97.4% [134].
\nAccording to Maria Gizeuda de F. Sousa et al., glyphosate was determined by liquid chromatography equipped with a diode array detector and a C-18 chromatographic column at 195 nm. The mobile phase consisted of 0.006 mM KH2PO4, and the flow rate set at 1.0 mL/min. Under these conditions glyphosate is eluted at 2.97 min, whereas the total analysis time was 7 min. The analytical method LOD was 0.09 μg mL−1, whereas the LOQ was 0.27 μg mL−1 [130].
\nFor the determination of glyphosate and its major metabolite AMPA, Ravier et al. used an ultra-performance liquid chromatographic (UPLC) system interfaced with a quadrupole-time-of-flight mass spectrometer and equipped with an electrospray ion source and a C18 UPLC column. The elution system consisted of water with 5 mM ammonium formate and acetonitrile. The analyses are performed in the negative ionization mode. Both the LOD and the LOQ were determined by the calibration curve and were 0.05 and 0.14 ngm−3, respectively, for glyphosate and 0.30 and 0.90 ngm−3, respectively, for AMPA [124].
\nHPLC methods are highly sensitive especially with fluorogenic labeling, but they lack specificity and usually require a laborious cleanup procedure such as ion-exchange column chromatography, which may result in some sample loss and lower reproducibility. At present LC-MS in tandem mode (MS/MS) is considered the most suitable technique for the detection of phosphoric and amino acid-type herbicides at low concentrations. Derivatization is the most common way to analyze GLY and AMPA using LC-ESI-MS/MS systems, a procedure that is described in soil matrix as well.
\nThe maximum concentrations of glyphosate in atmospheric samples correspond to the time of its application. Due to the limited number of monitoring studies for monitoring pesticides and specifically glyphosate in the air, a reliable conclusion about its fate could not be reached.
\nThe authors declare no conflict of interest.
This chapter discusses Islamic banking and Islamic accounting development and implementation in Indonesia. The first part of this chapter elaborates on the emergence and development of Islamic banks (IBs) in Indonesia. Then, the next part discusses the history and role of Islamic accounting in Indonesia. The chapter intended to develop understanding related to Indonesia Islamic banking and accounting as a unique case of Islamic finance state of the art.
As the most Muslim populous country in the world, the development of Islamic banking in Indonesia is not without challenges. The emergence of Islamic banks in Indonesia was triggered by internal and external factors. The growth of demand in permissible (
Upon the establishment, the development of Islamic banks became more steady and apparent over time. In 2020 itself, the growth of Islamic banking (yoy) had double-digit increment for 13.11 percent (yoy). Even though the Islamic banking industry growth is increasing, the inferior competitive advantage only contributes to less than 10 percent of national banking assets [4]. Hence, in 2021, the ministry of state-owned enterprise combined three state-owned Islamic banks (PT. Bank Syariah Mandiri, PT. Bank Negara Indonesia Syariah, and PT. Bank Rakyat Indonesia Syariah) into PT. Bank Syariah Indonesia (BSI) through merger. This merger resulted in the improvement of the competitive advantage of BSI to its conventional counterparts [4]. This momentum marked the commitment of the government and stakeholders to boost the development of Islamic banking in Indonesia.
Accountability is important to ensure the relevance and reliability of information in Islamic banks. It can be said that the development of Islamic accounting in Indonesia is driven by the growth of Islamic banking and finance [5]. There is a demand to accommodate accounting standards for Islamic transactions; hence, reliable information can be used by users for making a sound decision.
Until today, the Islamic or Sharia accounting in Indonesia has developed to myriad activities and transactions performed by Islamic banks (i.e.
The history of Islamic banks in Indonesia cannot be detached from the Islamic banking as a global phenomenon. The early concept of Islamic financial institutions was established by the idea of a bank with a profit-sharing system [1, 2]. In the 1940s, a Pakistan bank specifically set up to manage Hajj (pilgrimage) funds was founded but failed to prevail. The establishment of Mit Ghamr Local Saving Bank in Egypt marked as a breakthrough of modern Islamic banking in 1963. By 1967, the National Bank of Egypt and the Central Bank of Egypt took over Mit Ghamr operation due to declining performance during political turmoil. With this acquisition, Mit Ghamr’s interest-free principle has been abandoned, and banks are once again functioning on an interest basis. In 1971, the concept of interest-free was finally reinvented during the Sadat administration with the establishment of the Nacelle Social Bank. The purpose of the bank is to continue its business according to the concepts practiced by Mit Ghamr. The growth of economy also drove more Muslim countries to facilitate Islamic principle-based banks. Dubai Islamic Bank in 1971, the first bank initiated by private institutions, indicated growing interest in the Islamic financial facilities. In 1975, Faysal Islamic Bank started to operate in Sudan and Egypt, and at the same time, the Kuwait government established Kuwait Finance House. Finally, the Islamic Development Bank (IsDB) was formed in October 1975, which consisted of 22 founding Islamic countries. IsDB provides financial assistance for the development of its member countries, helping them to establish Islamic banks in their respective countries and playing an important role in research in Islamic economics, banking, and finance. Now, IsDB, based in Jeddah-Saudi Arabia, continues to operate with more than 56 member countries. Subsequently, the efforts to establish Islamic banks began to spread in many countries. Some countries such as Pakistan, Iran, and Sudan decided to change their financial system by adopting an interest-free system. In other Islamic and Muslim majority countries such as Malaysia and Indonesia, interest-free banks operate side by side with conventional banks.
Despite the grassroot Islamic microfinance in Indonesia already prevailing, the contemporary Islamic banking development was marked in the 1980s. Expecting efficiency and economic strengthening, the Indonesian government implemented deregulation allowing banks to set interest rates in 1983 [3, 4]. “Pakto 88,” a monetary policy package as part of deregulation, was promulgated to support liberalization of Indonesia banking system encouraging the emergence of banks. Along with, grassroot developing Islamic financial institutions, named BMT Salman ITB in Bandung and Koperasi Ridho Gusti in Jakarta, paved a way to be a pilot model for Islamic banks in Indonesia. In 1990, the Indonesia Ulema Council (Majelis Ulama Indonesia a.k.a. MUI) formed a task force to establish the first Islamic bank in Indonesia, PT. Bank Muamalat Indonesia (BMI). Initially, the bank received less recognition from the public due to lack of legal foundation to operate. The legal basis for banking under the Sharia system was only in one of the paragraphs of “banks with a profit-sharing system” in Law no. 7 of 1992, without details on the basis of Sharia law and the types of businesses that are allowed. In 1998, Law No. 7/1992 became Law No. 10 of 1998, clearly stating that there are two banking systems (dual-banking system) in the country, the conventional banking system and the Islamic banking system. This law encouraged the establishment of several other Islamic banks or Islamic windows, namely Bank IFI, Bank Syariah Mandiri, Bank Niaga, Bank BTN, Bank Mega, Bank BRI, Bank Bukopin, BPD Jabar, and BPD Aceh.
The dual-banking system in Indonesia allows conventional banks and Islamic banks to operate. The operationalization of both banking in parallel is called the dual-banking system. According to Indonesian Law No. 21 of 2008 about Islamic banking (or Sharia Banking) [5],
In addition, the law also mandates Islamic banks to perform social functions by facilitating collection of Islamic alms and charities and distributing it through Islamic charitable institutions. There are three categories of Islamic bank entities operating in Indonesia: Islamic commercial banks, Islamic-windowed banks, and Islamic rural banks. Islamic commercial banks are full-fledged Islamic banks that offer only Islamic financial products and operate under Islamic principles. Islamic-windowed banks, however, are business units or divisions of a conventional commercial bank (CCB). This business unit offers Islamic financial products. Meanwhile, Islamic rural banks are banks that operate in certain regions and only offer a more limited type of product compared with Islamic commercial and Islamic-windowed banks. Usually, the size of Islamic rural banks is significantly smaller than Islamic commercial banks. All these banks must comply with Islamic banking regulation.
Substantially, Islamic banks must nurture their identity as value-based institutions. Islamic bank’s ethical identity explains how Islamic value is followed by the institution to stakeholders as a distinguishing characteristic from conventional banking practices [1, 2, 3]. There are five main traits of Islamic banks identity, namely: underlying philosophy and values; provision of interest-free products and services; restriction to Islamically acceptable deals; focus on developmental and social goals; and subjection to additional reviews by the Sharia Supervisory Board (SSB) [6]. The traits are broken down into several indices such as commitment to Sharia, existence of SSB, contribution to alms and charity (zakat and shadaqah), commitment to employees, and so on. While Belal et al. [7] conducted a longitudinal study to Islami Bank Bangladesh Limited (IBBL), a panel study of Islamic Identity Index measurement that was conducted by Zaki et al. [8] compares communicated and ideal ethical identities similar to those in Haniffa and Hudaib [9] but targeted Islamic banks in Asia. The result shows that three out of seven banks show value above the average, while the remaining have wide disparity. It indicates that not all Islamic banks in Asia have shared identity as Islamic banks. From the research, it is interesting that Indonesia Islamic bank’s ethical identity index outperforms other Islamic banks in Asia even compared with Middle Eastern banks. It suggests that there is more consideration in the institutionalization of Islamic banks in Indonesia so that it can represent the Islamic norms and values in the banking industry.
The implementation of the regulatory and supervisory functions of Islamic banking from the aspect of implementing prudential principles and good governance is carried out by the Financial Services Authority (Indonesian: Otoritas Jasa Keuangan a.k.a. OJK) as is the case with conventional banking, but with a regulation and supervision system that is adjusted to the peculiarities of the Islamic banking operational system. The problem of fulfilling Sharia principles is unique for Islamic banks, because essentially Islamic banks are banks that offer products that comply with Islamic principles.
As prudential institutions, banks bear responsibility to manage its risk accordingly. As the distinction between conventional and Islamic banks, all stakeholders demand Islamic compliance as the foundational value of Islamic banks. The uniqueness of Islamic Banks (IB) entails consequence on risk exposing the bank [4]. Salem [5] argues that credit risk in IBs is higher than that in Conventional Banks (CBs) due to potential moral hazard triggered by asymmetric information embedded in Profit-Loss Sharing (PLS) contracts. However, deliberate negligence or misconduct committed by the
Systems to ensure sharia compliance are important in Islamic banking. Therefore, the existence of Sharia Supervisory Board (SSB) in Indonesia Islamic Banking is mandatory. According to Law No. 21 of 2008 about Sharia Banking, the National Sharia Board of Indonesian Ulema Council (Indonesian: Dewan Standar Nasional Majelis Ulama Indonesia a.k.a. DSN MUI) issues Islamic legal guidance (fatwa) on lawfulness of Islamic bank’s products and then SSBs guard its implementation in IBs. Additionally, OJK stipulates that all Islamic banking products may only be offered to the public after the bank has received a fatwa from the DSN-MUI and obtained permission from the OJK. At the operational level, each Islamic bank is also required to have a Sharia Supervisory Board (SSB), which has two functions, the first is the sharia supervisory function and the second is an advisory function when banks are faced with questions about whether an activity is sharia-compliant or not, as well as in the process of developing a product that will be submitted to DSN to obtain a fatwa. In addition to these functions, Sharia Banking is also directed to have an internal audit function that focuses on monitoring sharia compliance to assist DPS, and in carrying out external audits used by sharia banks are auditors who have qualifications and competencies in Islamic law subjects.
OJK categorizes institutions in Islamic financial industry into three subsectors, namely Islamic banks, Islamic non-banking financial institutions (Islamic NBFI), and Islamic capital market with a total capitalization of assets for IDR 1801.40 trillion or USD 127,71 billion (excluding Islamic stocks) in 2020 [17]. Islamic capital market contributes the largest proportion for IDR 1076.22, then Islamic banking for IDR 608.90, and the least, Islamic financial non-banking institutions for IDR 116.28 trillion (USD 1 = IDR 14,050). Since its establishment, the growth of Islamic financial industry in Indonesia has been growing. Regardless of its contribution to national market share that only counts for 9.95 percent in 2020, the growth of Islamic financial assets recorded 22.71 percent (yoy) consisting of the growth of Islamic capital market, Islamic banks, and Islamic NBFI for 30.58, 13.11, and 10.15, in sequence. From the banking industry, Sharia commercial banks dominate the growth proportion followed by Sharia business units and Sharia rural banks (Figures 1 and 2).
The growth of Islamic finance and banking assets in Indonesia from 2016 to 2020. Source: Financial service authority (OJK), 2021.
Islamic banks’ main indicators and performance in 2020. Source: Financial service authority (OJK), 2021.
The future of Islamic banking in Indonesia is promising if stakeholders, especially the government, commit to the development of the industry. The dual-banking system put Islamic banking in a competition with conventional banking. As a “new-comer” in the financial industry, Islamic banking market capitalization is far below conventional banking. The size of Islamic banks is significantly low compared with its counterparts, leading to the low capacity of lending. Nationally, the market share of the banking industry in terms of assets shows the dominance of several banks in BUKU 41, while most banks still have a small business scale and market share, including Islamic banks. Structurally, both conventional commercial banks (CCBs) and Sharia commercial banks (SCBs), the majority of banks are in BUKU 2 with 58 BUK (
Classification of commercial banks based on business activity in Indonesia in 2020. Source: Financial service authority (OJK), 2020.
Bank’s rank based on assets in Indonesian, 2020. Sources: Financial service authority (OJK), 2020.
The Financial Services Authority (OJK) encourages banking consolidation policies and strengthens bank capital in Indonesia as stated in POJK No. 12/POJK.03/2020 concerning Commercial Bank Consolidation. In 2021, the Ministry of State-Owned Company of Indonesia finalized the merger of three state-owned Islamic banks. PT. Bank Syariah Mandiri, PT. Bank Negara Indonesia Syariah, and PT. Bank Rakyat Indonesia Syariah were merged into PT. Bank Syariah Indonesia. By the end of 2021, there are 12 operating Sharia commercial banks in Indonesia from [16] the prior of the merger (Table 1) [12]. This merger has brought three largest Sharia commercial banks, which were previously excluded from the top 10 of the biggest operating commercial banks nationally, up the ranks to the seventh position with 2.7 percent of the national market share of the banking industry. The Islamic bank merger is an important consolidation momentum for Islamic banking to be able to present Islamic Banks that are strong in capital and able to compete in the national banking industry. In addition, the “new” bank, Bank Syariah Indonesia, has the opportunity to join BUKU 4 by increasing the scale of the economy so that it can contribute significantly to the national economy. This merger manifested as the commitment of the Indonesian government to support Islamic bank’s development.
Year | Sharia commercial banks | Sharia business units | Sharia rural banks |
---|---|---|---|
2014 | 12 | 22 | 163 |
2015 | 12 | 22 | 163 |
2016 | 13 | 21 | 166 |
2017 | 13 | 21 | 167 |
2018 | 14 | 20 | 167 |
2019 | 14 | 20 | 164 |
2020 | 14 | 20 | 164 |
Oct-21 | 12 | 20 | 163 |
The number of Islamic banks in Indonesia according to classification.
Sources: Financial service authority (OJK), 2020.
The growth of Islamic banking in Indonesia is promising. During the 2020 pandemic, Islamic banks still maintained their growth and robustness through the crisis. The bank should keep innovating to capture larger market share. If Indonesian Islamic banks fail to capture the potential benefit from Muslim demography, the industry might not develop [1]. Islamic banks must maintain their identity by balancing the social function and communicating its value to the users. Reputational risks remain the vital issue in Islamic banks. Muslim community is diverse, many interpret Islamic law differently according to schools or teachings. Sharia governance may offer solutions for a systematic Sharia compliance guarantor that bridge different opinions among Sharia scholars and build public trust to the permissibility
A recent opportunity to be captured by Islamic banks is the digitalization of banking services. Young adults in their productive age dominate Indonesia populations. This generation has high literature in digital technology, especially the internet. Financial technology has emerged as the institution offers digital-based financial services. The easy, timeless, and reliable platform has captured the young generation to use financial services from start-up companies. Albeit becoming a new competitor for conventional banking, this institution may not replace the role of conventional banking later in the future due to the fundamental role and robustness of banking institutions that are supported by other supporting prudential institutions. The Islamic banks must capture the momentum to invest in technology. First, branding is important to capture the new market by making Islamic financial transactions user-friendly and easy to access. This branding also involves the strategy to increase awareness and literacy on Islamic banking that has been lacking in the society. Second, the bank should maintain its security as the number of cyberattacks increases, ranging from identity theft, skimming, to phishing, and banks must mitigate this risk appropriately to protect the customers.
As previously mentioned, the development of Islamic accounting in Indonesia cannot be separated from the establishment of the first Islamic Bank in Indonesia, namely Bank Muamalat Indonesia (BMI) in 1991 and the existence of Law No. 7 of 1992 concerning banking, which is further detailed in Government Regulation 72 of 1992, Law no. 10 of 1998 and Law no. 23 of 1999. After BMI was established, there was a problem because BMI was an Islamic Bank but the financial statements made were not based on Sharia accounting. In addition, the existence of this Islamic bank also requires supervision and auditing of Islamic bank products. These factors encourage the importance of developing Islamic accounting.
In 2002, IAI through the Financial Accounting Standards Board (DSAK) ratified PSAK No. 59, Islamic Banking Accounting, which became effective in January 2003. Another thing that contributed to the development of Islamic accounting was the emergence of the IAI Sharia Accounting Committee in 2005. In 2010, IAI decided to transform the institution by establishing a Sharia Financial Accounting Standards Board (DSAS), which is authorized to formulate Islamic Financial Accounting Standards (IFAS). Islamic accounting, in Indonesia is often called as Sharia accounting, is accounting based on an Islamic (teachings) paradigm. It is an instrument or subsystem to implement Islamic teachings, especially in business. Therefore, the objectives of Islamic accounting must be consistent with the objectives of Islamic teachings (
To achieve the above objectives, Islamic accounting relies on various principles: (1) brotherhood (
In general, the model or approach to develope Islamic accounting can look like Figure 5. From Figure 5, there are two approaches in developing Islamic accounting [19]. The first approach is often called the “ideal” approach. In this approach, the development of Islamic accounting begins with the search for sharia sources and then is derived into Sharia accounting standards. The second approach is often referred to as the “pragmatic” approach. This approach starts from conventional accounting, then the purification process is carried out. Conventional accounting that is not in accordance with sharia is abandoned and which is not contrary to sharia remains. Islamic Financial Accounting Standard Board (
Approaches in Islamic accounting development. Source: Sholihin [
In developing Islamic Financial Accounting Standards (IFAS), DSAS IAI is very careful and follows a very strict due process. The due process adopted in the preparation of Islamic financial accounting standards are: (1) identifying the issues (and consulting with the Consultative Board of IAI if necessary), (2) conducting research related to the issues that have been identified, (3) discussing the material, (4) ratifying and publishing the exposure draft, (5) conducting public hearings and if necessary conducting limited hearings, (6) discussing public input, and (7) ratifying standards. In the discussion, the first thing to discuss is the aspect of transaction clarity from a sharia perspective. Even though during the discussion, there were already members of DSAS IAI from DSN MUI who became members, institutionally DSAS IAI again proposed the standards that had been ratified to DSN MUI to be checked/reviewed again for compliance with Sharia. So, Sharia accounting standards in Indonesia are developed by starting from the clarity of sharia aspects and ending with checking again the conformity of the standards with sharia. This procedure is intended to achieve the blessing of the ratified Islamic accounting standards and not to conflict with sharia.
To date (December 2021), several Statements of Islamic Financial Accounting Standards (SIFAS) have been published by DSAS. In addition to PSAK 59 (Islamic Banking Accounting), DSAS have published SIFAS 101 (Sharia Financial Statement Presentation), SIFAS 102 (Accounting for
Until now, DSAS continues to work to develop various accounting standards to support the development of Islamic economics and finance. DSAS IAI in developing standards uses a transaction-based approach, not an accounting approach for certain institutions, even though the first Islamic accounting standard that appears is Islamic Banking Accounting (PSAK 59).
From the SIFAS above, it can be seen that the DSAS IAI does not only focus on accounting standards for commercial activities. However, DSAS IAI also pays great attention to the aspects of social finance (Social Islamic Finance), namely the issuance of SIFAS 109 and SIFAS 112. SIFAS 109 is currently being reviewed due to the development of various programs and social activities in the distribution of zakat, infaq, and alms for community empowerment.
The mapping of transactions used by Islamic banking and how the match between those transactions and the IFAS can be seen in Figure 6 [20].
Mapping between transactions in Islamic Bank (in blue) and the accounting standard (in gray). Source: Hendarsyah [
This chapter discusses the development of IBs in Indonesia and explains the development of Islamic financial accounting standards including how the standards are developed (the due processes). This chapter also describes whether Islamic financial accounting standards developed in Indonesia have sufficiently fulfilled the accounting standards needed by Islamic banks in Indonesia.
Islamic banks (IBs) have distinctive characteristics compared to the conventional ones. IBs only perform permissible (
Upon the establishment, the development of Islamic banks became more steady and apparent over time. Hence, in 2021, the ministry of state-owned enterprise combined three state-owned Islamic banks (PT. Bank Syariah Mandiri, PT. Bank Negara Indonesia Syariah, and PT. Bank Rakyat Indonesia Syariah) into PT. Bank Syariah Indonesia (BSI) through merger. This merger resulted in the improvement of the competitive advantage of BSI to its conventional counterparts. This momentum marked the commitment of the government and stakeholders to boost the development of Islamic banking in Indonesia.
Accountability is important to ensure the relevance and reliability of information in Islamic banks. Consequently, there is a demand to accommodate accounting standards for Islamic transactions to provide reliable information for users for making a sound decision.
Until December 2021, several Statements of Islamic Financial Accounting Standards (SIFAS) have been published by DSAS IAI. In addition to PSAK 59 (Islamic Banking Accounting), DSAS have published SIFAS 101 (Sharia Financial Statement Presentation), SIFAS 102 (Accounting for
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Achilias",coverURL:"https://cdn.intechopen.com/books/images_new/10855.jpg",editedByType:"Edited by",editors:[{id:"95620",title:"Dr.",name:"Dimitris S.",middleName:null,surname:"Achilias",slug:"dimitris-s.-achilias",fullName:"Dimitris S. Achilias"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"10843",title:"Persistent Organic Pollutants (POPs)",subtitle:"Monitoring, Impact and Treatment",isOpenForSubmission:!1,hash:"f5b1589f0a990b6114fef2dadc735dd9",slug:"persistent-organic-pollutants-pops-monitoring-impact-and-treatment",bookSignature:"Mohamed Nageeb Rashed",coverURL:"https://cdn.intechopen.com/books/images_new/10843.jpg",editedByType:"Edited by",editors:[{id:"63465",title:"Prof.",name:"Mohamed Nageeb",middleName:null,surname:"Rashed",slug:"mohamed-nageeb-rashed",fullName:"Mohamed Nageeb Rashed"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}],booksByTopicTotal:218,seriesByTopicCollection:[],seriesByTopicTotal:0,mostCitedChapters:[{id:"29369",doi:"10.5772/32373",title:"Textile Organic Dyes – Characteristics, Polluting Effects and Separation/Elimination Procedures from Industrial Effluents – A Critical Overview",slug:"textile-organic-dyes-characteristics-polluting-effects-and-separation-elimination-procedures-from-in",totalDownloads:29487,totalCrossrefCites:128,totalDimensionsCites:321,abstract:null,book:{id:"872",slug:"organic-pollutants-ten-years-after-the-stockholm-convention-environmental-and-analytical-update",title:"Organic Pollutants Ten Years After the Stockholm Convention",fullTitle:"Organic Pollutants Ten Years After the Stockholm Convention - Environmental and Analytical Update"},signatures:"Zaharia Carmen and Suteu Daniela",authors:[{id:"91196",title:"Prof.",name:"Carmen",middleName:null,surname:"Zaharia",slug:"carmen-zaharia",fullName:"Carmen Zaharia"},{id:"92084",title:"Dr.",name:"Daniela",middleName:null,surname:"Suteu",slug:"daniela-suteu",fullName:"Daniela Suteu"}]},{id:"42059",doi:"10.5772/54048",title:"Adsorption Technique for the Removal of Organic Pollutants from Water and Wastewater",slug:"adsorption-technique-for-the-removal-of-organic-pollutants-from-water-and-wastewater",totalDownloads:30043,totalCrossrefCites:51,totalDimensionsCites:221,abstract:null,book:{id:"3426",slug:"organic-pollutants-monitoring-risk-and-treatment",title:"Organic Pollutants",fullTitle:"Organic Pollutants - Monitoring, Risk and Treatment"},signatures:"Mohamed Nageeb Rashed",authors:[{id:"63465",title:"Prof.",name:"Mohamed Nageeb",middleName:null,surname:"Rashed",slug:"mohamed-nageeb-rashed",fullName:"Mohamed Nageeb Rashed"}]},{id:"27305",doi:"10.5772/39363",title:"Water Stress in Plants: Causes, Effects and Responses",slug:"water-stress-in-plants-causes-effects-and-responses",totalDownloads:28496,totalCrossrefCites:72,totalDimensionsCites:172,abstract:null,book:{id:"911",slug:"water-stress",title:"Water Stress",fullTitle:"Water Stress"},signatures:"Seyed Y. S. Lisar, Rouhollah Motafakkerazad, Mosharraf M. Hossain and Ismail M. M. Rahman",authors:[{id:"110740",title:"Dr.",name:"Ismail M.M.",middleName:null,surname:"Rahman",slug:"ismail-m.m.-rahman",fullName:"Ismail M.M. Rahman"}]},{id:"62247",doi:"10.5772/intechopen.77315",title:"Application of Biosorption for Removal of Heavy Metals from Wastewater",slug:"application-of-biosorption-for-removal-of-heavy-metals-from-wastewater",totalDownloads:7645,totalCrossrefCites:75,totalDimensionsCites:152,abstract:"Fresh water accounts for 3% of water resources on the Earth. Human and industrial activities produce and discharge wastes containing heavy metals into the water resources making them unavailable and threatening human health and the ecosystem. Conventional methods for the removal of metal ions such as chemical precipitation and membrane filtration are extremely expensive when treating large amounts of water, inefficient at low concentrations of metal (incomplete metal removal) and generate large quantities of sludge and other toxic products that require careful disposal. Biosorption and bioaccumulation are ecofriendly alternatives. These alternative methods have advantages over conventional methods. Abundant natural materials like microbial biomass, agro-wastes, and industrial byproducts have been suggested as potential biosorbents for heavy metal removal due to the presence of metal-binding functional groups. Biosorption is influenced by various process parameters such as pH, temperature, initial concentration of the metal ions, biosorbent dose, and speed of agitation. Also, the biomass can be modified by physical and chemical treatment before use. The process can be made economical by regenerating and reusing the biosorbent after removing the heavy metals. Various bioreactors can be used in biosorption for the removal of metal ions from large volumes of water or effluents. The recent developments and the future scope for biosorption as a wastewater treatment option are discussed.",book:{id:"6137",slug:"biosorption",title:"Biosorption",fullTitle:"Biosorption"},signatures:"Sri Lakshmi Ramya Krishna Kanamarlapudi, Vinay Kumar\nChintalpudi and Sudhamani Muddada",authors:[{id:"238433",title:"Associate Prof.",name:"Sudhamani",middleName:null,surname:"Muddada",slug:"sudhamani-muddada",fullName:"Sudhamani Muddada"},{id:"244937",title:"Mrs.",name:"S L Ramyakrishna",middleName:null,surname:"Kanamarlapudi",slug:"s-l-ramyakrishna-kanamarlapudi",fullName:"S L Ramyakrishna Kanamarlapudi"},{id:"244938",title:"Mr.",name:"Vinay Kumar",middleName:null,surname:"Chintalpudi",slug:"vinay-kumar-chintalpudi",fullName:"Vinay Kumar Chintalpudi"}]},{id:"53211",doi:"10.5772/66416",title:"Biofloc Technology (BFT): A Tool for Water Quality Management in Aquaculture",slug:"biofloc-technology-bft-a-tool-for-water-quality-management-in-aquaculture",totalDownloads:16966,totalCrossrefCites:65,totalDimensionsCites:148,abstract:"Biofloc technology (BFT) is considered the new “blue revolution” in aquaculture. Such technique is based on in situ microorganism production which plays three major roles: (i) maintenance of water quality, by the uptake of nitrogen compounds generating in situ microbial protein; (ii) nutrition, increasing culture feasibility by reducing feed conversion ratio (FCR) and a decrease of feed costs; and (iii) competition with pathogens. The aggregates (bioflocs) are a rich protein-lipid natural source of food available in situ 24 hours per day due to a complex interaction between organic matter, physical substrate, and large range of microorganisms. This natural productivity plays an important role recycling nutrients and maintaining the water quality. The present chapter will discuss some insights of the role of microorganisms in BFT, main water quality parameters, the importance of the correct carbon-to-nitrogen ratio in the culture media, its calculations, and different types, as well as metagenomics of microorganisms and future perspectives.",book:{id:"5355",slug:"water-quality",title:"Water Quality",fullTitle:"Water Quality"},signatures:"Maurício Gustavo Coelho Emerenciano, Luis Rafael Martínez-\nCórdova, Marcel Martínez-Porchas and Anselmo Miranda-Baeza",authors:[{id:"146126",title:"Dr.",name:"Maurício Gustavo Coelho",middleName:null,surname:"Emerenciano",slug:"mauricio-gustavo-coelho-emerenciano",fullName:"Maurício Gustavo Coelho Emerenciano"},{id:"186970",title:"Prof.",name:"Marcel",middleName:null,surname:"Martínez-Porchas",slug:"marcel-martinez-porchas",fullName:"Marcel Martínez-Porchas"},{id:"186971",title:"Prof.",name:"Anselmo",middleName:null,surname:"Miranda-Baeza",slug:"anselmo-miranda-baeza",fullName:"Anselmo Miranda-Baeza"},{id:"195101",title:"Dr.",name:"Luis Rafael",middleName:null,surname:"Martínez-Córdoba",slug:"luis-rafael-martinez-cordoba",fullName:"Luis Rafael Martínez-Córdoba"}]}],mostDownloadedChaptersLast30Days:[{id:"69568",title:"Water Quality Parameters",slug:"water-quality-parameters",totalDownloads:10165,totalCrossrefCites:14,totalDimensionsCites:36,abstract:"Since the industrial revolution in the late eighteenth century, the world has discovered new sources of pollution nearly every day. So, air and water can potentially become polluted everywhere. Little is known about changes in pollution rates. The increase in water-related diseases provides a real assessment of the degree of pollution in the environment. This chapter summarizes water quality parameters from an ecological perspective not only for humans but also for other living things. According to its quality, water can be classified into four types. Those four water quality types are discussed through an extensive review of their important common attributes including physical, chemical, and biological parameters. These water quality parameters are reviewed in terms of definition, sources, impacts, effects, and measuring methods.",book:{id:"7718",slug:"water-quality-science-assessments-and-policy",title:"Water Quality",fullTitle:"Water Quality - Science, Assessments and Policy"},signatures:"Nayla Hassan Omer",authors:null},{id:"58138",title:"Water Pollution: Effects, Prevention, and Climatic Impact",slug:"water-pollution-effects-prevention-and-climatic-impact",totalDownloads:21554,totalCrossrefCites:18,totalDimensionsCites:38,abstract:"The stress on our water environment as a result of increased industrialization, which aids urbanization, is becoming very high thus reducing the availability of clean water. Polluted water is of great concern to the aquatic organism, plants, humans, and climate and indeed alters the ecosystem. The preservation of our water environment, which is embedded in sustainable development, must be well driven by all sectors. While effective wastewater treatment has the tendency of salvaging the water environment, integration of environmental policies into the actor firms core objectives coupled with continuous periodical enlightenment on the present and future consequences of environmental/water pollution will greatly assist in conserving the water environment.",book:{id:"6157",slug:"water-challenges-of-an-urbanizing-world",title:"Water Challenges of an Urbanizing World",fullTitle:"Water Challenges of an Urbanizing World"},signatures:"Inyinbor Adejumoke A., Adebesin Babatunde O., Oluyori Abimbola\nP., Adelani-Akande Tabitha A., Dada Adewumi O. and Oreofe Toyin\nA.",authors:[{id:"101570",title:"MSc.",name:"Babatunde Olufemi",middleName:null,surname:"Adebesin",slug:"babatunde-olufemi-adebesin",fullName:"Babatunde Olufemi Adebesin"},{id:"187738",title:"Dr.",name:"Adejumoke",middleName:"Abosede",surname:"Inyinbor",slug:"adejumoke-inyinbor",fullName:"Adejumoke Inyinbor"},{id:"188818",title:"Dr.",name:"Abimbola",middleName:null,surname:"Oluyori",slug:"abimbola-oluyori",fullName:"Abimbola Oluyori"},{id:"188819",title:"Mrs.",name:"Tabitha",middleName:null,surname:"Adelani-Akande",slug:"tabitha-adelani-akande",fullName:"Tabitha Adelani-Akande"},{id:"208501",title:"Dr.",name:"Adewumi",middleName:null,surname:"Dada",slug:"adewumi-dada",fullName:"Adewumi Dada"},{id:"208502",title:"Ms.",name:"Toyin",middleName:null,surname:"Oreofe",slug:"toyin-oreofe",fullName:"Toyin Oreofe"}]},{id:"45422",title:"Urban Waterfront Regenerations",slug:"urban-waterfront-regenerations",totalDownloads:14203,totalCrossrefCites:4,totalDimensionsCites:12,abstract:null,book:{id:"3560",slug:"advances-in-landscape-architecture",title:"Advances in Landscape Architecture",fullTitle:"Advances in Landscape Architecture"},signatures:"Umut Pekin Timur",authors:[{id:"165480",title:"Dr.",name:"Umut",middleName:null,surname:"Pekin Timur",slug:"umut-pekin-timur",fullName:"Umut Pekin Timur"}]},{id:"24941",title:"Tsunami in Makran Region and Its Effect on the Persian Gulf",slug:"tsunami-in-makran-region-and-its-effect-on-the-persian-gulf",totalDownloads:7575,totalCrossrefCites:4,totalDimensionsCites:7,abstract:null,book:{id:"406",slug:"tsunami-a-growing-disaster",title:"Tsunami",fullTitle:"Tsunami - A Growing Disaster"},signatures:"Mohammad Mokhtari",authors:[{id:"52451",title:"Dr.",name:"Mohammad",middleName:null,surname:"Mokhtari",slug:"mohammad-mokhtari",fullName:"Mohammad Mokhtari"}]},{id:"66307",title:"Bio-hydrogen and Methane Production from Lignocellulosic Materials",slug:"bio-hydrogen-and-methane-production-from-lignocellulosic-materials",totalDownloads:2953,totalCrossrefCites:6,totalDimensionsCites:8,abstract:"This chapter covers the information on bio-hydrogen and methane production from lignocellulosic materials. Pretreatment methods of lignocellulosic materials and the factors affecting bio-hydrogen production, both dark- and photo-fermentation, and methane production are addressed. Last but not least, the processes for bio-hydrogen and methane production from lignocellulosic materials are discussed.",book:{id:"7608",slug:"biomass-for-bioenergy-recent-trends-and-future-challenges",title:"Biomass for Bioenergy",fullTitle:"Biomass for Bioenergy - Recent Trends and Future Challenges"},signatures:"Apilak Salakkam, Pensri Plangklang, Sureewan Sittijunda, Mallika Boonmee Kongkeitkajorn, Siriporn Lunprom and Alissara Reungsang",authors:null}],onlineFirstChaptersFilter:{topicId:"12",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"82465",title:"Agroforestry: An Approach for Sustainability and Climate Mitigation",slug:"agroforestry-an-approach-for-sustainability-and-climate-mitigation",totalDownloads:2,totalDimensionsCites:0,doi:"10.5772/intechopen.105406",abstract:"Agroforestry Systems (AFS), or the association of trees with crops (or animals), is a strategy for land management and use that allows production within the sustainable development: (a) environmentally (production environmentally harmonic); (b) technically (integrating existing resources on the farm); (c) economically (increase in production), and (d) socially (equality of duties and opportunities, quality of life of the family group). As an intentional integration of trees or shrubs with crop and animal production, this practice makes environmental, economic, and social benefits to farmers. Given that there is a set of definitions, rather than a single definition of Agroforestry (AF) and AFS, it is justified to explore the historical evolution and the minimum coincidences of criteria to define them and apply them in the recovery of degraded areas. Knowing how to classify AFS allows us to indicate which type or group of AFS is suitable for a particular area with its characteristics. The greatest benefit that AFS can bring to degraded or sloping areas lies in their ability to combine soil conservation with productive functions. In other words, AF is arborizing agriculture and animal production to obtain more benefits including climate change adaptation and mitigation by ecosystem services.",book:{id:"11663",title:"Vegetation Dynamics, Changing Ecosystems and Human Responsibility",coverURL:"https://cdn.intechopen.com/books/images_new/11663.jpg"},signatures:"Ricardo O. Russo"},{id:"82754",title:"Impact of Revegetation on Ecological Restoration of a Constructed Soil in a Coal Mining in Southern Brazil",slug:"impact-of-revegetation-on-ecological-restoration-of-a-constructed-soil-in-a-coal-mining-in-southern-",totalDownloads:3,totalDimensionsCites:0,doi:"10.5772/intechopen.105895",abstract:"The main problems in the constructed soils are the generation of acid mine drainage promoted by the presence of coal debris in the overburden layer and the compaction of the topsoil promoted by the machine traffic when the material used in the overburden cover is more clayey. This book chapter aimed to show an overview of the impact of more than a decade of revegetation with different perennial grasses on the chemical, physical, and biological quality of constructed soil after coal mining. The study was carried out in a coal mining area, located in southern Brazil. The soil was constructed in early 2003 and the perennial grasses, Hemarthria altissima; Paspalum notatum cv. Pensacola; Cynodon dactylon cv Tifton; and Urochloa brizantha; were implanted in November/December 2003. In 11.5, 17.6 and 18 years of revegetation soil samples were collected and the chemical, physical, and biological attributes were determined. Our results show that liming is an important practice in the restoration of these strongly anthropized soils because this positively impacts the plants’ development, facilitating the roots system expansion. Biological attributes such as soil fauna and the microorganism’s population are the attributes that possibly takes longer to establish itself in these areas.",book:{id:"11663",title:"Vegetation Dynamics, Changing Ecosystems and Human Responsibility",coverURL:"https://cdn.intechopen.com/books/images_new/11663.jpg"},signatures:"Lizete Stumpf, Maria Bertaso De Garcia Fernandez, Pablo Miguel, Luiz Fernando Spinelli Pinto, Ryan Noremberg Schubert, Luís Carlos Iuñes de Oliveira Filho, Tania Hipolito Montiel, Lucas Da Silva Barbosa, Jeferson Diego Leidemer and Thábata Barbosa Duarte"},{id:"82936",title:"Soil Degradation Processes Linked to Long-Term Forest-Type Damage",slug:"soil-degradation-processes-linked-to-long-term-forest-type-damage",totalDownloads:2,totalDimensionsCites:0,doi:"10.5772/intechopen.106390",abstract:"Forest degradation impairs ability of the whole landscape adaptation to environmental change. The impacts of forest degradation on landscape are caused by a self-organization decline. At the present time, the self-organization decline was largely due to nitrogen deposition and deforestation which exacerbated impacts of climate change. Nevertheless, forest degradation processes are either reversible or irreversible. Irreversible forest degradation begins with soil damage. In this paper, we present processes of forest soil degradation in relation to vulnerability of regulation adaptability on global environmental change. The regulatory forest capabilities were indicated through soil organic matter sequestration dynamics. We devided the degradation processes into quantitative and qualitative damages of physical or chemical soil properties. Quantitative soil degradation includes irreversible loss of an earth’s body after claim, erosion or desertification, while qualitative degradation consists of predominantly reversible consequences after soil disintegration, leaching, acidification, salinization and intoxication. As a result of deforestation, the forest soil vulnerability is spreading through quantitative degradation replacing hitherto predominantly qualitative changes under continuous vegetation cover. Increasing needs to natural resources using and accompanying waste pollution destroy soil self-organization through biodiversity loss, simplification in functional links among living forms and substance losses from ecosystem. We concluded that subsequent irreversible changes in ecosystem self-organization cause a change of biome potential natural vegetation and the land usability decrease.",book:{id:"11457",title:"Forest Degradation Under Global Change",coverURL:"https://cdn.intechopen.com/books/images_new/11457.jpg"},signatures:"Pavel Samec, Aleš Kučera and Gabriela Tomášová"},{id:"82828",title:"Vegetation and Avifauna Distribution in the Serengeti National Park",slug:"vegetation-and-avifauna-distribution-in-the-serengeti-national-park",totalDownloads:6,totalDimensionsCites:0,doi:"10.5772/intechopen.106165",abstract:"In order to examine the bird species changes within different vegetation structures, the variations were compared between Commiphora-dominated vegetations with those of Vachellia tortilis and Vachellia robusta-dominated vegetations, and also compared the birds of grassland with those of Vachellia drepanolobium and Vachellia seyal-dominated vegetations. This study was conducted between February 2010 and April 2012. A total of 40 plots of 100 m × 100 m were established. Nonparametric Mann-Whitney U-test was used to examine differences in bird species between vegetations. Species richness estimates were obtained using the Species Diversity and Richness. A total of 171 bird species representing 103 genera, 12 orders, and 54 families were recorded. We found differences in bird species distribution whereby V. tortilis has higher bird species richness (102 species), abundance, and diversity when compared with Commiphora with 66 species and V. robusta with 59 species. These results suggest that variations in bird species abundance, diversity, and distribution could be attributed to differences in the structural diversity of vegetation. Therefore it is important to maintain different types of vegetation by keeping the frequency of fire to a minimum and prescribed fire should be employed and encouraged to control wildfire and so maintain a diversity of vegetation and birds community.",book:{id:"11663",title:"Vegetation Dynamics, Changing Ecosystems and Human Responsibility",coverURL:"https://cdn.intechopen.com/books/images_new/11663.jpg"},signatures:"Ally K. Nkwabi and Pius Y. Kavana"},{id:"82808",title:"Climate Change and Anthropogenic Impacts on the Ecosystem of the Transgressive Mud Coastal Region of Bight of Benin, Nigeria",slug:"climate-change-and-anthropogenic-impacts-on-the-ecosystem-of-the-transgressive-mud-coastal-region-of",totalDownloads:8,totalDimensionsCites:0,doi:"10.5772/intechopen.105760",abstract:"The transgressive mud coastal area of Bight of Benin is a muddy coastal complex that lies east of the Barrier/lagoon coast and stretches to the Benin River in the northwestern flank of the Niger Delta Nigeria. It constitutes a fragile buffer zone between the tranquil waters of the swamps and the menacing waves of the Atlantic Ocean. Extensive breaching of this narrow coastal plain results in massive incursion of the sea into the inland swamps with serious implications for national security and the economy. Climate change impacts from the results of meteorological information of the regions shows a gradual degradation in the past 30 years. Temperature, rainfall and humidity increase annually depict climate change, resulting from uncontrolled exploitation of natural resources is rapidly pushing the region towards ecological disasters. The ecosystem is very unique being the only transgressive mud coastal area of the Gulf of Guinea. The chapter describes the geomorphology, tidal hydrology, relief/drainage, topography, climate/meteorology, vegetation, economic characteristics, anthropogenic activities and their impacts on the ecosystem.",book:{id:"11663",title:"Vegetation Dynamics, Changing Ecosystems and Human Responsibility",coverURL:"https://cdn.intechopen.com/books/images_new/11663.jpg"},signatures:"Patrick O. Ayeku"},{id:"82697",title:"Analyzing the Evolution of Land-Use Changes Related to Vegetation, in the Galicia Region, Spain: From 1990 to 2018",slug:"analyzing-the-evolution-of-land-use-changes-related-to-vegetation-in-the-galicia-region-spain-from-1",totalDownloads:6,totalDimensionsCites:0,doi:"10.5772/intechopen.106015",abstract:"Considering the complex dynamics, patterns, and particularities that the Galicia region present—e.g., the fragility, shown to achieve sustainable development and growth—a study that analyzes the Land-Use related to the vegetation of this region is seen as pivotal to identifying barriers and opportunities for long-term sustainable development. Using GIS (Geographic Information Systems), the present chapter enables us to identify the dynamics and patterns of the evolution of the Land-Use Changes related to vegetation in the Galicia Region from 1990 to 2018 (years 1990, 2000, 2012, and 2018 using CORINE (Coordination of Information on the Environment) data). This study permits us to reinforce that the Land-Use Changes related to vegetation in the Galicia Region have undergone multiple changes—marked by increasing and decreasing periods. Also, can be considered a surveying baseline for the comparative analysis of similar works for different Land-Use Changes related to vegetation trends in Europe or worldwide. Land-Use Changes related to vegetation studies are reliable tools to evaluate the human activities and footprint of proposed strategies and policies in a territory. 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The combination of electronics and computer science with biology and medicine has improved patient diagnosis, reduced rehabilitation time, and helped to facilitate a better quality of life. Nowadays, all medical imaging devices, medical instruments, or new laboratory techniques result from the cooperation of specialists in various fields. The series of Biomedical Engineering books covers such areas of knowledge as chemistry, physics, electronics, medicine, and biology. This series is intended for doctors, engineers, and scientists involved in biomedical engineering or those wanting to start working in this field.",coverUrl:"https://cdn.intechopen.com/series/covers/7.jpg",latestPublicationDate:"August 3rd, 2022",hasOnlineFirst:!0,numberOfOpenTopics:3,numberOfPublishedChapters:107,numberOfPublishedBooks:12,editor:{id:"50150",title:"Prof.",name:"Robert",middleName:null,surname:"Koprowski",fullName:"Robert Koprowski",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYTYNQA4/Profile_Picture_1630478535317",biography:"Robert Koprowski, MD (1997), PhD (2003), Habilitation (2015), is an employee of the University of Silesia, Poland, Institute of Computer Science, Department of Biomedical Computer Systems. For 20 years, he has studied the analysis and processing of biomedical images, emphasizing the full automation of measurement for a large inter-individual variability of patients. Dr. Koprowski has authored more than a hundred research papers with dozens in impact factor (IF) journals and has authored or co-authored six books. Additionally, he is the author of several national and international patents in the field of biomedical devices and imaging. Since 2011, he has been a reviewer of grants and projects (including EU projects) in biomedical engineering.",institutionString:null,institution:{name:"University of Silesia",institutionURL:null,country:{name:"Poland"}}},subseries:[{id:"7",title:"Bioinformatics and Medical Informatics",keywords:"Biomedical Data, Drug Discovery, Clinical Diagnostics, Decoding Human Genome, AI in Personalized Medicine, Disease-prevention Strategies, Big Data Analysis in Medicine",scope:"Bioinformatics aims to help understand the functioning of the mechanisms of living organisms through the construction and use of quantitative tools. The applications of this research cover many related fields, such as biotechnology and medicine, where, for example, Bioinformatics contributes to faster drug design, DNA analysis in forensics, and DNA sequence analysis in the field of personalized medicine. Personalized medicine is a type of medical care in which treatment is customized individually for each patient. Personalized medicine enables more effective therapy, reduces the costs of therapy and clinical trials, and also minimizes the risk of side effects. Nevertheless, advances in personalized medicine would not have been possible without bioinformatics, which can analyze the human genome and other vast amounts of biomedical data, especially in genetics. The rapid growth of information technology enabled the development of new tools to decode human genomes, large-scale studies of genetic variations and medical informatics. The considerable development of technology, including the computing power of computers, is also conducive to the development of bioinformatics, including personalized medicine. In an era of rapidly growing data volumes and ever lower costs of generating, storing and computing data, personalized medicine holds great promises. Modern computational methods used as bioinformatics tools can integrate multi-scale, multi-modal and longitudinal patient data to create even more effective and safer therapy and disease prevention methods. Main aspects of the topic are: Applying bioinformatics in drug discovery and development; Bioinformatics in clinical diagnostics (genetic variants that act as markers for a condition or a disease); Blockchain and Artificial Intelligence/Machine Learning in personalized medicine; Customize disease-prevention strategies in personalized medicine; Big data analysis in personalized medicine; Translating stratification algorithms into clinical practice of personalized medicine.",annualVolume:11403,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/7.jpg",editor:{id:"351533",title:"Dr.",name:"Slawomir",middleName:null,surname:"Wilczynski",fullName:"Slawomir Wilczynski",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000035U1loQAC/Profile_Picture_1630074514792",institutionString:null,institution:{name:"Medical University of Silesia",institutionURL:null,country:{name:"Poland"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"5886",title:"Dr.",name:"Alexandros",middleName:"T.",surname:"Tzallas",fullName:"Alexandros Tzallas",profilePictureURL:"https://mts.intechopen.com/storage/users/5886/images/system/5886.png",institutionString:"University of Ioannina, Greece & Imperial College London",institution:{name:"University of Ioannina",institutionURL:null,country:{name:"Greece"}}},{id:"257388",title:"Distinguished Prof.",name:"Lulu",middleName:null,surname:"Wang",fullName:"Lulu Wang",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRX6kQAG/Profile_Picture_1630329584194",institutionString:"Shenzhen Technology University",institution:{name:"Shenzhen Technology University",institutionURL:null,country:{name:"China"}}},{id:"225387",title:"Prof.",name:"Reda R.",middleName:"R.",surname:"Gharieb",fullName:"Reda R. Gharieb",profilePictureURL:"https://mts.intechopen.com/storage/users/225387/images/system/225387.jpg",institutionString:"Assiut University",institution:{name:"Assiut University",institutionURL:null,country:{name:"Egypt"}}}]},{id:"8",title:"Bioinspired Technology and Biomechanics",keywords:"Bioinspired Systems, Biomechanics, Assistive Technology, Rehabilitation",scope:'Bioinspired technologies take advantage of understanding the actual biological system to provide solutions to problems in several areas. Recently, bioinspired systems have been successfully employing biomechanics to develop and improve assistive technology and rehabilitation devices. The research topic "Bioinspired Technology and Biomechanics" welcomes studies reporting recent advances in bioinspired technologies that contribute to individuals\' health, inclusion, and rehabilitation. Possible contributions can address (but are not limited to) the following research topics: Bioinspired design and control of exoskeletons, orthoses, and prostheses; Experimental evaluation of the effect of assistive devices (e.g., influence on gait, balance, and neuromuscular system); Bioinspired technologies for rehabilitation, including clinical studies reporting evaluations; Application of neuromuscular and biomechanical models to the development of bioinspired technology.',annualVolume:11404,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/8.jpg",editor:{id:"144937",title:"Prof.",name:"Adriano",middleName:"De Oliveira",surname:"Andrade",fullName:"Adriano Andrade",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRC8QQAW/Profile_Picture_1625219101815",institutionString:null,institution:{name:"Federal University of Uberlândia",institutionURL:null,country:{name:"Brazil"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"49517",title:"Prof.",name:"Hitoshi",middleName:null,surname:"Tsunashima",fullName:"Hitoshi Tsunashima",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYTP4QAO/Profile_Picture_1625819726528",institutionString:null,institution:{name:"Nihon University",institutionURL:null,country:{name:"Japan"}}},{id:"425354",title:"Dr.",name:"Marcus",middleName:"Fraga",surname:"Vieira",fullName:"Marcus Vieira",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003BJSgIQAX/Profile_Picture_1627904687309",institutionString:null,institution:{name:"Universidade Federal de Goiás",institutionURL:null,country:{name:"Brazil"}}},{id:"196746",title:"Dr.",name:"Ramana",middleName:null,surname:"Vinjamuri",fullName:"Ramana Vinjamuri",profilePictureURL:"https://mts.intechopen.com/storage/users/196746/images/system/196746.jpeg",institutionString:"University of Maryland, Baltimore County",institution:{name:"University of Maryland, Baltimore County",institutionURL:null,country:{name:"United States of America"}}}]},{id:"9",title:"Biotechnology - Biosensors, Biomaterials and Tissue Engineering",keywords:"Biotechnology, Biosensors, Biomaterials, Tissue Engineering",scope:"The Biotechnology - Biosensors, Biomaterials and Tissue Engineering topic within the Biomedical Engineering Series aims to rapidly publish contributions on all aspects of biotechnology, biosensors, biomaterial and tissue engineering. We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics can include but are not limited to: Biotechnology such as biotechnological products and process engineering; Biotechnologically relevant enzymes and proteins; Bioenergy and biofuels; Applied genetics and molecular biotechnology; Genomics, transcriptomics, proteomics; Applied microbial and cell physiology; Environmental biotechnology; Methods and protocols. Moreover, topics in biosensor technology, like sensors that incorporate enzymes, antibodies, nucleic acids, whole cells, tissues and organelles, and other biological or biologically inspired components will be considered, and topics exploring transducers, including those based on electrochemical and optical piezoelectric, thermal, magnetic, and micromechanical elements. Chapters exploring biomaterial approaches such as polymer synthesis and characterization, drug and gene vector design, biocompatibility, immunology and toxicology, and self-assembly at the nanoscale, are welcome. Finally, the tissue engineering subcategory will support topics such as the fundamentals of stem cells and progenitor cells and their proliferation, differentiation, bioreactors for three-dimensional culture and studies of phenotypic changes, stem and progenitor cells, both short and long term, ex vivo and in vivo implantation both in preclinical models and also in clinical trials.",annualVolume:11405,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/9.jpg",editor:{id:"126286",title:"Dr.",name:"Luis",middleName:"Jesús",surname:"Villarreal-Gómez",fullName:"Luis Villarreal-Gómez",profilePictureURL:"https://mts.intechopen.com/storage/users/126286/images/system/126286.jpg",institutionString:null,institution:{name:"Autonomous University of Baja California",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"35539",title:"Dr.",name:"Cecilia",middleName:null,surname:"Cristea",fullName:"Cecilia Cristea",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYQ65QAG/Profile_Picture_1621007741527",institutionString:null,institution:{name:"Iuliu Hațieganu University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"40735",title:"Dr.",name:"Gil",middleName:"Alberto Batista",surname:"Gonçalves",fullName:"Gil Gonçalves",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYRLGQA4/Profile_Picture_1628492612759",institutionString:null,institution:{name:"University of Aveiro",institutionURL:null,country:{name:"Portugal"}}},{id:"211725",title:"Associate Prof.",name:"Johann F.",middleName:null,surname:"Osma",fullName:"Johann F. Osma",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSDv7QAG/Profile_Picture_1626602531691",institutionString:null,institution:{name:"Universidad de Los Andes",institutionURL:null,country:{name:"Colombia"}}},{id:"69697",title:"Dr.",name:"Mani T.",middleName:null,surname:"Valarmathi",fullName:"Mani T. Valarmathi",profilePictureURL:"https://mts.intechopen.com/storage/users/69697/images/system/69697.jpg",institutionString:"Religen Inc. | A Life Science Company, United States of America",institution:null},{id:"205081",title:"Dr.",name:"Marco",middleName:"Vinícius",surname:"Chaud",fullName:"Marco Chaud",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSDGeQAO/Profile_Picture_1622624307737",institutionString:null,institution:{name:"Universidade de Sorocaba",institutionURL:null,country:{name:"Brazil"}}}]}]}},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"chapter.detail",path:"/chapters/72651",hash:"",query:{},params:{id:"72651"},fullPath:"/chapters/72651",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()