PDT1 treatment parameters.
\\n\\n
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
\n'}],latestNews:[{slug:"intechopen-supports-asapbio-s-new-initiative-publish-your-reviews-20220729",title:"IntechOpen Supports ASAPbio’s New Initiative Publish Your Reviews"},{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"}]},book:{item:{type:"book",id:"5096",leadTitle:null,fullTitle:"Applied Studies of Coastal and Marine Environments",title:"Applied Studies of Coastal and Marine Environments",subtitle:null,reviewType:"peer-reviewed",abstract:"The book ''Applied Studies of Coastal and Marine Environments'' is a collection of a number of high-quality and comprehensive work on coastal and marine environment. This book has an Introductory Chapter, followed by 15 chapters. Chapters 2 and 3 are devoted to coastal geological sedimentation and its impacts on marine environment. Consequently, Chapter 4 investigates neo-tectonic movement in the Pearl River Delta. Different aspects of the coastal pollution and its impacts are addressed in Chapter 5 through Chapter 13. Furthermore, coastal management is also discussed in Chapter 14, and monitoring the coastal environment using remote sensing and GIS techniques is reported in Chapter 15. Finally, Chapter 16 addresses the human history of maritime exploitation and adaptation process to coastal and marine environments. It is important to investigate the history of maritime exploitation and adaptation to environment coastal zone to learn how to explore the oceans.",isbn:"978-953-51-2549-5",printIsbn:"978-953-51-2548-8",pdfIsbn:"978-953-51-4182-2",doi:"10.5772/60743",price:139,priceEur:155,priceUsd:179,slug:"applied-studies-of-coastal-and-marine-environments",numberOfPages:438,isOpenForSubmission:!1,isInWos:1,isInBkci:!0,hash:"c69d748a6e4e39139e6f4be531b1f30e",bookSignature:"Maged Marghany",publishedDate:"September 14th 2016",coverURL:"https://cdn.intechopen.com/books/images_new/5096.jpg",numberOfDownloads:29737,numberOfWosCitations:28,numberOfCrossrefCitations:18,numberOfCrossrefCitationsByBook:1,numberOfDimensionsCitations:41,numberOfDimensionsCitationsByBook:2,hasAltmetrics:1,numberOfTotalCitations:87,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"May 5th 2015",dateEndSecondStepPublish:"May 26th 2015",dateEndThirdStepPublish:"August 30th 2015",dateEndFourthStepPublish:"November 28th 2015",dateEndFifthStepPublish:"December 28th 2015",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7,8",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"96666",title:"Prof.",name:"Prof. Dr. Maged",middleName:null,surname:"Marghany",slug:"prof.-dr.-maged-marghany",fullName:"Prof. Dr. Maged Marghany",profilePictureURL:"https://mts.intechopen.com/storage/users/96666/images/system/96666.png",biography:"Prof.Dr. Maged Marghany, is figured in 2020 and 2021 among the top two per cent scientists in a global list compiled by the prestigious Stanford University. Besides, the prestigious Universidade Estadual de Feira de Santana, Universidade Federal da Bahia, and Universidade Federal de Pernambuco, Brazil ranked him as the first global scientist in the field of oil spill detection and mapping during the last fifty years. Prof.Dr. Maged Marghany is currently a director of Global Geoinformation Sdn.Bhd. He is the author of 8 titles including Advanced Remote Sensing Technology for Tsunami Modelling and Forecasting which is published by Routledge Taylor and Francis Group, CRC and Synthetic Aperture Radar Imaging Mechanism for Oil Spills, which is published by Elsevier, His research specializes in microwave remote sensing and remote sensing for mineralogy detection and mapping. Previously, he worked as a Deputy Director in Research and Development at the Institute of Geospatial Science and Technology and the Department of Remote Sensing, both at Universiti Teknologi Malaysia. Maged has earned many degrees including a post-doctoral in radar remote sensing from the International Institute for Aerospace Survey and Earth Sciences, a Ph.D. in environmental remote sensing from the Universiti Putra Malaysia, a Master of Science in physical oceanography from the University Pertanian Malaysia, general and special diploma of Education and a Bachelor of Science in physical oceanography from the University of Alexandria in Egypt. Maged has published well over 250 papers in international conferences and journals and is active in International Geoinformatics, and the International Society for Photogrammetry and Remote Sensing (ISPRS).",institutionString:"Syiah Kuala University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"9",totalChapterViews:"0",totalEditedBooks:"4",institution:{name:"Syiah Kuala University",institutionURL:null,country:{name:"Indonesia"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"789",title:"Marine Engineering",slug:"marine-engineering"}],chapters:[{id:"51460",title:"Introduction to Coastal and Marine Environment Concepts and Significances",doi:"10.5772/64621",slug:"introduction-to-coastal-and-marine-environment-concepts-and-significances",totalDownloads:2093,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Maged Marghany and Shattri Mansor",downloadPdfUrl:"/chapter/pdf-download/51460",previewPdfUrl:"/chapter/pdf-preview/51460",authors:[{id:"96666",title:"Prof.",name:"Prof. Dr. Maged",surname:"Marghany",slug:"prof.-dr.-maged-marghany",fullName:"Prof. Dr. Maged Marghany"}],corrections:null},{id:"49582",title:"Geological Evolution of Coastal and Marine Environments off the Campania Continental Shelf Through Marine Geological Mapping - The Example of the Cilento Promontory",doi:"10.5772/61738",slug:"geological-evolution-of-coastal-and-marine-environments-off-the-campania-continental-shelf-through-m",totalDownloads:1447,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"The geological evolution of coastal and marine environments offshore the Cilento Promontory through marine geological mapping is discussed here. The marine geological map n. 502 “Agropoli,” located offshore the Cilento Promontory (southern Italy), is described and put in regional geologic setting. The study area covers water depths ranging between 30 and 200 m isobaths. The geologic map has been constructed in the frame of a research program financed by the National Geological Survey of Italy (CARG Project), finalized to the construction of an up-to-date cartography of the Campania region. Geological and geophysical data on the continental shelf and slope offshore the southern Campania region have been acquired in an area bounded northward by the Gulf of Salerno and southward by the Gulf of Policastro. A high-resolution multibeam bathymetry has permitted the construction of a digital elevation model (DEM). Sidescan sonar profiles have also been collected and interpreted, and their merging with bathymetric data has allowed for the realization of the base for the marine geologic cartography. The calibration of geophysical data has been attempted through sea-bottom samples. The morpho-structures and the seismic sequences overlying the outcrops of acoustic basement reported in the cartographic representation have been studied in detail using single-channel seismics. The interpretation of seismic profiles has been a support for the reconstruction of the stratigraphic and structural setting of the Quaternary continental shelf successions and the outcrops of rocky acoustic basement in correspondence to the Licosa Cape morpho-structural high. These areas result from the seaward prolongation of the stratigraphic and structural units, widely cropping out in the surrounding emerged sector of the Cilento Promontory. The cartographic approach is based on the recognition of laterally coeval depositional systems, interpreted in the frame of system tracts of the Late Quaternary depositional sequence.",signatures:"Gemma Aiello and Ennio Marsella",downloadPdfUrl:"/chapter/pdf-download/49582",previewPdfUrl:"/chapter/pdf-preview/49582",authors:[{id:"100661",title:"Dr.",name:"Gemma",surname:"Aiello",slug:"gemma-aiello",fullName:"Gemma Aiello"}],corrections:null},{id:"49642",title:"Engineering Tools for the Estimation of Dredging-Induced Sediment Resuspension and Coastal Environmental Management",doi:"10.5772/61979",slug:"engineering-tools-for-the-estimation-of-dredging-induced-sediment-resuspension-and-coastal-environme",totalDownloads:2336,totalCrossrefCites:1,totalDimensionsCites:6,hasAltmetrics:0,abstract:"In recent years, increasing attention has been paid to environmental impacts that may result from resuspension, sedimentation and increase in concentration of chemicals during dredging activities. Dredging dislodges and resuspends bottom sediments that are not captured by dredge-head movements. Resuspended sediments are advected far from the dredging site as a dredging plume and the increase in the suspended solid concentration (SSC) can strongly differ, in time and space, depending on site and operational conditions. Well-established international guidelines often include numerical modelling applications to support environmental studies related to dredging activities. Despite the attention that has been focused on this issue, there is a lack of verified predictive techniques of plume dynamics at progressive distances from the different dredging sources, as a function of the employed dredging techniques and work programs, i.e., spatial and temporal variation of resuspension source. This chapter illustrates predictive techniques to estimate the SSC arising from dredges with different mechanisms of sediment release and to assess the spatial and temporal variability of the resulting plume in estuarine and coastal areas. Predictive tools are aimed to support technical choices during planning and operational phases and to better plan the location and frequency of environmental monitoring activities during dredging execution.",signatures:"Iolanda Lisi, Marcello Di Risio, Paolo De Girolamo and Massimo\nGabellini",downloadPdfUrl:"/chapter/pdf-download/49642",previewPdfUrl:"/chapter/pdf-preview/49642",authors:[{id:"15209",title:"Prof.",name:"Marcello",surname:"Di Risio",slug:"marcello-di-risio",fullName:"Marcello Di Risio"},{id:"116232",title:"Dr.",name:"Massimo",surname:"Gabellini",slug:"massimo-gabellini",fullName:"Massimo Gabellini"},{id:"176998",title:"Ph.D.",name:"Iolanda",surname:"Lisi",slug:"iolanda-lisi",fullName:"Iolanda Lisi"},{id:"177000",title:"Prof.",name:"Paolo",surname:"De Girolamo",slug:"paolo-de-girolamo",fullName:"Paolo De Girolamo"}],corrections:null},{id:"49801",title:"Neo-tectonic Movement in the Pearl River Delta (PRD) Region of China and Its Effects on the Coastal Sedimentary Environment",doi:"10.5772/61981",slug:"neo-tectonic-movement-in-the-pearl-river-delta-prd-region-of-china-and-its-effects-on-the-coastal-se",totalDownloads:1566,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"This chapter presents the Late Quaternary neo-tectonic movement in the Pearl River Delta (PRD) region of China and its effects on the coastal sedimentary environment. Taking the Xilin Hill fault as the example, we have explained the reason of the PRD formation, inferred its interactions with local/regional climate and sea-level changes, and analyzed the evolution of the PRD formation and its controlling factors of the coastal sedimentary environment.",signatures:"Yuanzhi Zhang, Zhaojun Huang, Yu Li, Qing Yu, Bing Wang and\nTingchen Jiang",downloadPdfUrl:"/chapter/pdf-download/49801",previewPdfUrl:"/chapter/pdf-preview/49801",authors:[{id:"77597",title:"Prof.",name:"Yuanzhi",surname:"Zhang",slug:"yuanzhi-zhang",fullName:"Yuanzhi Zhang"}],corrections:null},{id:"49688",title:"Review of Mercury Circulation Changes in the Coastal Zone of Southern Baltic Sea",doi:"10.5772/61991",slug:"review-of-mercury-circulation-changes-in-the-coastal-zone-of-southern-baltic-sea",totalDownloads:1327,totalCrossrefCites:3,totalDimensionsCites:5,hasAltmetrics:0,abstract:"Despite its undoubted usability, mercury (Hg) is the most toxic metal and one of the most toxic elements. The problem of mercury toxicity was only widely explored in the second half of the 20th century, following cases of fatal poisonings as a result of the consumption of contaminated fish and grains preserved with mercury compounds. According to HELCOM reports, Hg emission in the Baltic region at the beginning of the 21st century was lower than during the 1980s. In addition to mercury transformation, climate warming, particularly in the autumn-winter season, is another factor contributing to the changes in mercury circulation, especially in the area of land-sea contact. The increase in rainfall, particularly in the summer, is of particular importance for the marine environment. This is related to an increased inflow of Hg with wet precipitation, but the warm season is also favourable for intensive growth of sea organisms and, consequently, a faster accumulation of chemical substances, including toxic ones. As a result, the concentration of mercury in organism biomass increases.",signatures:"Magdalena Bełdowska",downloadPdfUrl:"/chapter/pdf-download/49688",previewPdfUrl:"/chapter/pdf-preview/49688",authors:[{id:"176840",title:"Dr.",name:"Magdalena",surname:"Bełdowska",slug:"magdalena-beldowska",fullName:"Magdalena Bełdowska"}],corrections:null},{id:"49912",title:"Computatonal Analysis of System and Design Parameters of Electrodeposition for Marine Applications",doi:"10.5772/62376",slug:"computatonal-analysis-of-system-and-design-parameters-of-electrodeposition-for-marine-applications",totalDownloads:1596,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"The financial prudence of the global world is shaken due to the vigor induced by corrosion as the degradation of essential assets, namely, oil and gas platforms and marine machineries, appears as a red-flagged situation. The exacerbation created by chemical degradation of these assets is as a result of the presence of saltwater, and the highly dominating activity of salt in the atmosphere poses a critical influence in selecting the mode of corrosion prevention to be integrated. As the hunger for longer term service and cost effectiveness of protection increases, studies are clustered in the search of new corrosion-resistant coatings while adhering to the increasing stringent environmental code of practice. Porosity is a key factor which is considered in the development of corrosion-resistant coatings, stimulating localized forms of corrosion, such as galvanic and crevice corrosion. Nevertheless, researches have been implemented to coin this challenge by acquiring full understanding of effective parameters of salt bath conditions, their interactions, and influence on the degree of uniform electrodeposition. A significant contribution is presented in the light of reviewing the possibility of computational analysis of system and design parameters in optimizing the deposition rate and quality.",signatures:"Gabriel A. Farotade, Patricia A. I. Popoola and Olawale M. Popoola",downloadPdfUrl:"/chapter/pdf-download/49912",previewPdfUrl:"/chapter/pdf-preview/49912",authors:[{id:"169258",title:"Dr.",name:"Patricia",surname:"Popoola",slug:"patricia-popoola",fullName:"Patricia Popoola"},{id:"177716",title:"Dr.",name:"Olawale",surname:"Popoola",slug:"olawale-popoola",fullName:"Olawale Popoola"},{id:"177717",title:"Mr.",name:"Gabriel",surname:"Farotade",slug:"gabriel-farotade",fullName:"Gabriel Farotade"}],corrections:null},{id:"49999",title:"Fabrication and Properties of Zinc Composite Coatings for Mitigation of Corrosion in Coastal and Marine Zone",doi:"10.5772/62205",slug:"fabrication-and-properties-of-zinc-composite-coatings-for-mitigation-of-corrosion-in-coastal-and-mar",totalDownloads:1740,totalCrossrefCites:3,totalDimensionsCites:5,hasAltmetrics:0,abstract:"Deterioration of metals and alloys during service due to corrosion and wear phenomena shortens materials’ life span and structural integrity particularly in aggressive environments such as coastal and marine. This degradation also limits the use of these materials in most industrial applications. Therefore, the improvement of the quality of these materials in order to combat these challenges in industry remains critical. Surface modification techniques are employed to enhance materials’ properties to enable better performance and to extend their applications in demanding environments. Electrodeposition has been a useful method developed to improve the corrosion and mechanical properties of materials. In the present contribution, ample knowledge about electrodeposition of Zn composite/nanocomposite coatings and their characteristics are reviewed to address coastal and marine degradation of metals and alloys.",signatures:"Patricia A.I. Popoola, Nicholus Malatji and Ojo Sunday Fayomi",downloadPdfUrl:"/chapter/pdf-download/49999",previewPdfUrl:"/chapter/pdf-preview/49999",authors:[{id:"169258",title:"Dr.",name:"Patricia",surname:"Popoola",slug:"patricia-popoola",fullName:"Patricia Popoola"},{id:"174331",title:"Dr.",name:"Ojo Sunday",surname:"Fayomi",slug:"ojo-sunday-fayomi",fullName:"Ojo Sunday Fayomi"},{id:"176997",title:"Mr.",name:"Nicholus",surname:"Malatji",slug:"nicholus-malatji",fullName:"Nicholus Malatji"}],corrections:null},{id:"49784",title:"Dynamic Characterization of Open-ended Pipe Piles in Marine Environment",doi:"10.5772/62055",slug:"dynamic-characterization-of-open-ended-pipe-piles-in-marine-environment",totalDownloads:1746,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"This chapter is focused on the experimental investigations that can be carried out to dynamically characterize open-ended pipe piles in marine environment. Different test typologies, such as impact load test, free vibration test, forced vibration test, and ambient vibration test, are presented and described with the purpose to provide the right tools to analyze the dynamic behavior, at both small and large strains, of single piles or a system of piles. The appropriate instrumentation, with the suitable protection from marine environment and pile driving installation procedure, is also illustrated. Furthermore, the most common signal processing techniques useful for handling the experimental raw data are addressed together with the analysis techniques for the evaluation of the modal parameters: natural frequencies, damping ratios, and mode shapes. Finally, a part of the experimental campaign carried out by the authors on near-shore open-ended pipe piles is reported as a case study.",signatures:"Dezi Francesca, Gara Fabrizio and Roia Davide",downloadPdfUrl:"/chapter/pdf-download/49784",previewPdfUrl:"/chapter/pdf-preview/49784",authors:[{id:"176908",title:"Ph.D.",name:"Francesca",surname:"Dezi",slug:"francesca-dezi",fullName:"Francesca Dezi"},{id:"177006",title:"Dr.",name:"Fabrizio",surname:"Gara",slug:"fabrizio-gara",fullName:"Fabrizio Gara"},{id:"177007",title:"Dr.",name:"Davide",surname:"Roia",slug:"davide-roia",fullName:"Davide Roia"}],corrections:null},{id:"49854",title:"Relationship between Bulk Metal Concentration and Bioavailability in Tropic Estuarine Sediments",doi:"10.5772/62155",slug:"relationship-between-bulk-metal-concentration-and-bioavailability-in-tropic-estuarine-sediments",totalDownloads:1239,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Major (Si, Al, Fe, Ti, Mg, Ca, Na, K, S, P), minor (Mn) and trace (Li, V, Cr, Co, Ni, Cu, Zn, As, Sr, Zr, Mo, Cd, Ag, Sn, Sb, Cs, Ba, Hg, Pb, Bi and U) elements, their chemical forms and the mineral composition, organic matter (TOC) and carbonates (TIC) in surface sediments from the Cai River estuary and Nha Trang Bay were first determined along the salinity gradient. The abundance and ratio of major and trace elements in surface sediments are discussed in relation to the mineralogy, grain size, depositional conditions, reference background and SQG values. Most trace-element contents are at natural levels and are derived from the composition of rocks and soils in the watershed. A severe enrichment of Ag is most likely derived from metal-rich detrital heavy minerals such as Ag-sulphosalts. Along the salinity gradient, several zones of metal enrichment occur in surface sediments because of the geochemical fractionation of the riverine material. The parts of actually and potentially bioavailable forms (isolated by four single chemical reagent extractions) are most elevated for Mn and Pb (up to 36% and 32% of the total content, respectively). The possible anthropogenic input of Pb in the region requires further study. Overall, the most bioavailable parts of trace elements are associated with easily soluble amorphous Fe and Mn oxyhydroxides. The sediments are primarily enriched with bioavailable metal forms in the riverine part of the estuary. Natural (such as turbidities) and human-generated (such as urban and industrial activities) pressures are shown to influence the abundance and speciation of potential contaminants and therefore change their bioavailability in this estuarine system.",signatures:"Sofia E. Koukina, Nikolay V. Lobus, Valeriy I. Peresypkin and Olga M.\nDara",downloadPdfUrl:"/chapter/pdf-download/49854",previewPdfUrl:"/chapter/pdf-preview/49854",authors:[{id:"111577",title:"Dr.",name:"Sofia",surname:"Koukina",slug:"sofia-koukina",fullName:"Sofia Koukina"},{id:"171083",title:"Dr.",name:"Nikolay",surname:"Lobus",slug:"nikolay-lobus",fullName:"Nikolay Lobus"},{id:"178447",title:"Dr.",name:"Valeriy",surname:"Peresypkin",slug:"valeriy-peresypkin",fullName:"Valeriy Peresypkin"},{id:"178448",title:"Dr.",name:"Olga",surname:"Dara",slug:"olga-dara",fullName:"Olga Dara"}],corrections:null},{id:"51464",title:"Stable Isotope Techniques to Address Coastal Marine Pollution",doi:"10.5772/62897",slug:"stable-isotope-techniques-to-address-coastal-marine-pollution",totalDownloads:2287,totalCrossrefCites:0,totalDimensionsCites:3,hasAltmetrics:0,abstract:"Stable isotopes of carbon (δ13C), sulfur (δ34S), oxygen (δ18O), hydrogen (δ2H), nitrogen (δ15N), and radioactive isotope of hydrogen (tritium) have been applied in combination with conventional techniques (chemical) to investigate Karachi coastal water pollution due to Layari and Malir rivers, which mainly carry the domestic and industrial wastewater of Karachi Metropolitan. Heavy metal contents of the Manora Channel and southeast coastal waters were higher than the Swedish guidelines for the quality of seawater. By contrast, heavy metal concentrations in coastal sediments were found to be significantly higher than that of seawater. Mn and Ni contents in sediments of entire coast (Manora Channel, southeast and northwest coast) were above USEPA guidelines except at Buleji site, whereas Cr, Zn, and Cu levels only in Manora Channel sediments were higher than USEPA guidelines. The higher heavy metal contents of Manora Channel water and sediments can be attributed to an influx of a major portion of untreated industrial and/or domestic wastewater. Layari and Malir river water was observed to be depleted in δ13C(TDIC)and δ34S, which showed heavy influx of sewage into these rivers. Manora Channel water was also depleted in δ13CTDIC and δ34S during low tide environment, showing a large-scale domestic wastewater mixing with seawater. Southeast coastal water was found to be slightly enriched in δ13C(TDIC) and δ34S and exhibited mixing of relatively small quantity of sewage with the seawater as compared to the Manora Channel. δ13C(TDIC) and δ34S contents of northwest coastal water were close to the values meant for normal seawater. δ13C and δ15N contents of Karachi coastal seaweed ranged from -31.1‰ to -4.9‰ PDB and from 6.1‰ to 17.8‰ air, respectively. The average δ15N values (10.2‰ air) of Ulva spp. collected from nonpolluted northwest coast was higher as compared to the average δ15N contents (8.0‰ air) of Ulva from the Manora Channel, suggesting that nitrogen isotopic ratios of Ulva spp. could be a good indicator of sewage pollution. The results of a two-component isotope mass balance equation using δ13C and δ34S values for Layari and Malir rivers and coastal water indicated that tide conditions and distance of sampling site from the pollution source were the main factors to control the transport and dissemination of Layari river pollution into the Manora Channel. High tide environment slowed down the Layari river water mixing with seawater coupled with a gradual decrease in pollution levels from the Layari River outfall zone to the Manora Lighthouse.",signatures:"Azhar Mashiatullah, Nasir Ahmad and Riffat Mahmood",downloadPdfUrl:"/chapter/pdf-download/51464",previewPdfUrl:"/chapter/pdf-preview/51464",authors:[{id:"176826",title:"Dr.",name:"Azhar",surname:"Mashiatullah",slug:"azhar-mashiatullah",fullName:"Azhar Mashiatullah"},{id:"177725",title:"Prof.",name:"Nasir",surname:"Ahmad",slug:"nasir-ahmad",fullName:"Nasir Ahmad"},{id:"177726",title:"Dr.",name:"Riffat Mahmood",surname:"Qureshi",slug:"riffat-mahmood-qureshi",fullName:"Riffat Mahmood Qureshi"}],corrections:null},{id:"49817",title:"Investigation of Po-210 and Heavy Metal Concentration in Seafood Due to Coal Burning – Case Study in Malaysia",doi:"10.5772/62171",slug:"investigation-of-po-210-and-heavy-metal-concentration-in-seafood-due-to-coal-burning-case-study-in-m",totalDownloads:1538,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"A systematic study on the natural radionuclide Po-210 and heavy metals in marine organisms has been undertaken to establish a baseline data on the contamination of a coal burning power plant area. The organism samples have been collected from the local fish market which was very near to Sultan salauddin abdul aziz power plant and analysed for Po-210 and heavy metals using alpha spectrometer and ICP-MS, respectively. The content of Po-210 and heavy metals in analyzed organisms varies according to the feeding habits and ecological niche.",signatures:"Lubna Alam",downloadPdfUrl:"/chapter/pdf-download/49817",previewPdfUrl:"/chapter/pdf-preview/49817",authors:[{id:"176785",title:"Dr.",name:"Lubna",surname:"Alam",slug:"lubna-alam",fullName:"Lubna Alam"}],corrections:null},{id:"49855",title:"Atmospheric Pollution Causes Deterioration of Sweeteners of Treats and Decreases Competitiveness in the Food Industry of Coastal Baja California, Mexico",doi:"10.5772/61993",slug:"atmospheric-pollution-causes-deterioration-of-sweeteners-of-treats-and-decreases-competitiveness-in-",totalDownloads:1319,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"The use of pigments and sweeteners in the food industry has been of great importance over the last thirty years, as an aid to obtaining better quality products of certain types of food that require specialized methods of production, such as sweet breads. Since pigments were first used they have increased the competitiveness of the regional, national and international bakeries and treats companies found on the coast of Baja California, in northwest Mexico. In this region of the country, many people consume a considerable quantity of sweet bread, principally in winter. The pigments are made using specialized methods and have qualities relevant to the special conditions required in the storage and manufacturing processes, as well as to the types of food and the packaging associated with them. This is done in order to achieve a favorable appearance, and to create an be aactive product fortoforonsumers. Any bread with defective sweetener or pigmentation levels must be rejected and returned to the manufacturing process or be offered as food to pigs at a much lower market price resulting in economic losses to the company and a decrease in competitiveness. A specialized analysis of the subject was undertaken between 2012 and 2014 with the use of Scanning Electron Microscopy (SEM).",signatures:"César Sánchez Ocampo, Judith Marisela Paz Delgadillo, Gustavo\nLópez Badilla and Salvador Baltazar Murrieta",downloadPdfUrl:"/chapter/pdf-download/49855",previewPdfUrl:"/chapter/pdf-preview/49855",authors:[{id:"24784",title:"Dr.",name:"Gustavo",surname:"Lopez",slug:"gustavo-lopez",fullName:"Gustavo Lopez"}],corrections:null},{id:"50060",title:"Depositional Environment of Phosphorites of the Sonrai Basin, Lalitpur District, Uttar Pradesh, India",doi:"10.5772/62186",slug:"depositional-environment-of-phosphorites-of-the-sonrai-basin-lalitpur-district-uttar-pradesh-india",totalDownloads:1823,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Phosphates are regarded as one of the most important fertilizer minerals used by man. In Sonrai basin of Lalitpur the phosphorites are found to occur as lenticular and detached bodies throughout the Formation of the Bijawar Group. Individual bodies range from a few meters to about 4 km in length, and width varies from thin bands to about 125 meter with P2O5 concentration ranging from 10 to 20%. The Paleoproterozoic Bijawar Group are overlain by the Archaean Bundelkhand Basement Complex and underlain by Vindhyan Supergroup. The occurrence of phosphorites is confined to the Sonrai Formation which consists of massive to brecciated phosphorite within the lower reddish shales, with at least three bands identified. Megascopic study reveals that the brecciated phosphorite is reddish brown in color and fine to medium grained with angular fragments of chert and quartz embedded in a groundmass of iron oxides and secondary silica intercalated with minor veins of chert and iron oxides. The phosphorite horizon in the Lalitpur area is associated with pink to white brecciated massive quartzite, shale, dolomite and limestone of the basal unit. The concentration trends of certain major oxides indicate that the phosphorites are more enriched in CaO, P2O5 and SiO2 than Al2O3, Fe2O3, TiO2, Na2O and K2O. The concentration trends of trace elements reveal that the phosphorites are moderately enriched in Co, Zn, Zr, Pb, U than in Sc, Ba, V, Cr, Ni, , Rb, Sr, Y and Th. The dispersion patter, correlation coefficient and mutual relationship of significant major oxides represented by plotted diagrams, indicate that SiO2, CaO, MgO are antipathetically related with P2O5. The relationship suggests a gradual replacement among these oxides during diagenesis. High values of P2O5 and CaO in the phosphorites indicate more concentration of apatite constituent. The difference in geochemical behavior of CaO and MgO may be due to ionic substitution of Ca+2 by MgO+2 in the apatite crystal lattice during alkaline environment of the basin. The strong negative relationship between P2O5 with Fe2O3 in phosphorites may be due to leaching and/mild weathering of iron from the ores and reprecipitation along with P2O5 in the pore spaces, cavities/voids, veins, etc in highly oxidizing marine environment of the basin. The minimum evidence of organic matter, absence of sulphide minerals and lower concentration of V, Ni, and Cu suggest that the phosphorites were deposited in an oxidizing environment with slightly anaerobic to highly aerobic facies.",signatures:"Shamim A. Dar and K. F. Khan",downloadPdfUrl:"/chapter/pdf-download/50060",previewPdfUrl:"/chapter/pdf-preview/50060",authors:[{id:"176685",title:"Dr.",name:"Shamim",surname:"Dar",slug:"shamim-dar",fullName:"Shamim Dar"},{id:"181312",title:"Dr.",name:"K.F",surname:"Khan",slug:"k.f-khan",fullName:"K.F Khan"},{id:"181314",title:"Dr.",name:"Saif A",surname:"Khan",slug:"saif-a-khan",fullName:"Saif A Khan"}],corrections:null},{id:"49825",title:"Management of Marine Protected Zones – Case Study of Bahrain, Arabian Gulf",doi:"10.5772/62132",slug:"management-of-marine-protected-zones-case-study-of-bahrain-arabian-gulf",totalDownloads:2926,totalCrossrefCites:2,totalDimensionsCites:6,hasAltmetrics:1,abstract:"Coastal and marine environments in Bahrain are characterized by a variety of habitats, including seagrass beds, coral reefs, and mangroves that support some of the most endangered species such as dugongs and turtles. Marine Protected Areas (MPAs) are considered the most advocated approach for marine conservation. Several MPAs have been established in Bahrain. This study explores the ecological and legal contexts of MPAs in Bahrain and evaluates the effectiveness of these MPAs in achieving their conservation goals. Although MPAs are contributing to the protection of critical coastal and marine habitats and their associated flora and fauna, there is yet further need to strengthen efforts on conserving coastal and marine environments in Bahrain. Effectiveness of MPAs in Bahrain could be enhanced by developing management plans, implementing the necessary regulatory measures, and investing in long-term monitoring and research programs. Findings of this study could contribute to wider regional and international experience of the effectiveness of MPAs in protecting important coastal and marine environments.",signatures:"Humood A. Naser",downloadPdfUrl:"/chapter/pdf-download/49825",previewPdfUrl:"/chapter/pdf-preview/49825",authors:[{id:"50322",title:"Dr.",name:"Humood",surname:"Naser",slug:"humood-naser",fullName:"Humood Naser"}],corrections:null},{id:"49930",title:"Monitoring the Coastal Environment Using Remote Sensing and GIS Techniques",doi:"10.5772/62242",slug:"monitoring-the-coastal-environment-using-remote-sensing-and-gis-techniques",totalDownloads:2707,totalCrossrefCites:7,totalDimensionsCites:10,hasAltmetrics:0,abstract:"The coastal zone has been of importance for economic development and ecological restoration due to their rich natural resources and vulnerable ecosystems. Remote sensing techniques have proven to be powerful tools for the monitoring of the Earth’s surface and atmosphere on a global, regional, and even local scale, by providing important coverage, mapping and classification of land cover features such as vegetation, soil, water and forests. This chapter introduced the methods for monitoring the coastal environment using remote sensing and GIS techniques. Case studies of port expansion monitoring in typical coastal regions, together with the coastal environment changes analysis were also presented.",signatures:"Dong Jiang, Mengmeng Hao and Jingying Fu",downloadPdfUrl:"/chapter/pdf-download/49930",previewPdfUrl:"/chapter/pdf-preview/49930",authors:[{id:"25222",title:"Dr.",name:"Dong",surname:"Jiang",slug:"dong-jiang",fullName:"Dong Jiang"},{id:"176843",title:"Dr.",name:"Jingying",surname:"Fu",slug:"jingying-fu",fullName:"Jingying Fu"},{id:"176844",title:"MSc.",name:"Mengmeng",surname:"Hao",slug:"mengmeng-hao",fullName:"Mengmeng Hao"}],corrections:null},{id:"49956",title:"Human History of Maritime Exploitation and Adaptation Process to Coastal and Marine Environments – A View from the Case of Wallacea and the Pacific",doi:"10.5772/62013",slug:"human-history-of-maritime-exploitation-and-adaptation-process-to-coastal-and-marine-environments-a-v",totalDownloads:2049,totalCrossrefCites:0,totalDimensionsCites:2,hasAltmetrics:0,abstract:"This chapter introduce the archaeological new findings and current outcomes for the past human marine exploitation and maritime or coastal adaptation particularly in the Wallacea region where I have studied for long time. One of the oldest and important data I discuss here is from Jerimalai Cave site from East Timor and Leang Sarru site from Talaud Islands. The finds from East Timor demonstrate the high level of maritime skills and technology possessed by the modern humans who colonized Wallacea. These skills would have made possible the occupation of the faunally depauperate islands of Wallacea and facilitated the early maritime colonization of Australia and Near Oceania. On the other hand, Leang Sarru site dated back to 35,000 years ago on Talaud Islands where located over 100 km away from neighbour islands. The site also produced large number of marine shells from the late Pleistocene via Last Glacial Maximum (LGM) to the early Holocene, then we can also discuss the past maritime exploitation and adaptation from the late Pleistocene to the early Holocene in the Talaud Islands, where located in Northern part of Wallacea. During the Holocene after 12,000 years ago, various capture technology invented, and great variety of fish and shellfish species had been exploited by modern human. Especially the fishing technology and Ocean navigation technology were developed after the Neolithic times in Wallacea to the Pacific. Most famous archaeological records related them are the Lapita migration and colonization to many islands in Melanesia to Western Polynesia where were mostly uninhabited islands before them. After the Lapita colonization, the Polynesians who are the descendant of Lapita people succeeded to colonize Hawaii, Easter Island, and New Zealand by the 12th to 13th centuries. The distance to these islands from their neighbour islands or continent is over 4000 km, hence the success of migration by the Polynesian clearly indicate their maritime adaption and navigation technology were highly developed. In fact, it is a dramatic event that modern human succeeded to migrate to all over the world except North and South Pole when the colonization to New Zealand was done by the Polynesians. It also shows that marine environment were our last target for migration and colonization in this world after the human birthed in and around inner forest environment over 600 million years ago. This chapter also discuss such developments of marine exploitation and maritime adaptation after the Holocene or Neolithic to modern times, then reviewing the human adaptation history to coastal and marine environments.",signatures:"Rintaro Ono",downloadPdfUrl:"/chapter/pdf-download/49956",previewPdfUrl:"/chapter/pdf-preview/49956",authors:[{id:"177123",title:"Dr.",name:"Rintaro",surname:"Ono",slug:"rintaro-ono",fullName:"Rintaro Ono"}],corrections:null}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},subseries:null,tags:null},relatedBooks:[{type:"book",id:"5104",title:"Environmental Applications of Remote Sensing",subtitle:null,isOpenForSubmission:!1,hash:"6f91748e9b1463ce5e7352ea982c3128",slug:"environmental-applications-of-remote-sensing",bookSignature:"Maged Marghany",coverURL:"https://cdn.intechopen.com/books/images_new/5104.jpg",editedByType:"Edited by",editors:[{id:"96666",title:"Prof.",name:"Prof. Dr. Maged",surname:"Marghany",slug:"prof.-dr.-maged-marghany",fullName:"Prof. Dr. Maged Marghany"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3838",title:"Advanced Geoscience Remote Sensing",subtitle:null,isOpenForSubmission:!1,hash:"74f648b4e5f6fb290baeb0642c037c1d",slug:"advanced-geoscience-remote-sensing",bookSignature:"Maged Marghany",coverURL:"https://cdn.intechopen.com/books/images_new/3838.jpg",editedByType:"Edited by",editors:[{id:"96666",title:"Prof.",name:"Prof. Dr. Maged",surname:"Marghany",slug:"prof.-dr.-maged-marghany",fullName:"Prof. Dr. Maged Marghany"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"8395",title:"Advanced Remote Sensing Technology for Synthetic Aperture Radar Applications, Tsunami Disasters, and Infrastructure",subtitle:null,isOpenForSubmission:!1,hash:"9a36595723f2490fd4e414bba3547a50",slug:"advanced-remote-sensing-technology-for-synthetic-aperture-radar-applications-tsunami-disasters-and-infrastructure",bookSignature:"Maged Marghany",coverURL:"https://cdn.intechopen.com/books/images_new/8395.jpg",editedByType:"Edited by",editors:[{id:"96666",title:"Prof.",name:"Prof. Dr. Maged",surname:"Marghany",slug:"prof.-dr.-maged-marghany",fullName:"Prof. Dr. Maged Marghany"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,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"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,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"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,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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by",editors:[{id:"108808",title:"Prof.",name:"Dmitry",middleName:"Victorovich",surname:"Garbuzenko",slug:"dmitry-garbuzenko",fullName:"Dmitry Garbuzenko"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:[{id:"221775",title:"M.D.",name:"Alfredo",middleName:null,surname:"Alvarado",fullName:"Alfredo Alvarado",slug:"alfredo-alvarado",email:"alfredoalvara@hotmail.com",position:null,institution:{name:"National University of Colombia",institutionURL:null,country:{name:"Colombia"}}}]}},chapter:{id:"61365",slug:"clinical-approach-in-the-diagnosis-of-acute-appendicitis",signatures:"Alfredo Alvarado",dateSubmitted:"September 14th 2017",dateReviewed:"February 16th 2018",datePrePublished:null,datePublished:"June 27th 2018",book:{id:"6471",title:"Current Issues in the Diagnostics and Treatment of Acute Appendicitis",subtitle:null,fullTitle:"Current Issues in the Diagnostics and Treatment of Acute 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Appendicitis",slug:"current-issues-in-the-diagnostics-and-treatment-of-acute-appendicitis",publishedDate:"June 27th 2018",bookSignature:"Dmitry Victorovich Garbuzenko",coverURL:"https://cdn.intechopen.com/books/images_new/6471.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",editors:[{id:"108808",title:"Prof.",name:"Dmitry",middleName:"Victorovich",surname:"Garbuzenko",slug:"dmitry-garbuzenko",fullName:"Dmitry Garbuzenko"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}}},ofsBook:{item:{type:"book",id:"11798",leadTitle:null,title:"Listeria monocytogenes - Recent Developments and Advances",subtitle:null,reviewType:"peer-reviewed",abstract:"
\r\n\tCompetition for limited natural resources associated with climate changes effects, particularly on agri-food systems, increases the importance of research and knowledge of new approaches to Health, healthy animals, a healthy environment, and a sustainable and safe food supply for the growing global population.
\r\n\tAbout 25 percent of all foods produced globally are lost due to microbial growth. L. monocytogenes is a microorganism ubiquitously present in the environment and affects animals and humans. L. monocytogenes can enter a factory and is able to survive in biofilms in the food processing environment. The use of adequate sanitation procedures is a prerequisite in risk prevention. Moreover, effective control measures for L. monocytogenes are very important to food operators.
\r\n\tThe safety and shelf life maximizing of food products to meet the demand of retailers and consumers is a challenge and a concern of food operators.
\r\n\r\n\tTo obtain food systems more sustainable, several developments are ongoing to ensure safe food products with an extended shelf life and a reduction of food loss and waste. The problem of antimicrobial resistance is also a great issue that must be taken into consideration.
\r\n\r\n\tThe implementation of natural antimicrobials, using food cultures, ferments, or bacteriophages, is one approach to control L. monocytogenes in food products that meet the consumer preference for clean label solutions.
\r\n\tThis book intends to provide the reader with a comprehensive overview of the current state-of-the-art about Listeria monocytogenes in terms of occurrence in humans, animals, and food-producing plants. Its control by more natural agents allows for more sustainable food systems and points future directions to transform challenges into opportunities.
Antimicrobial photodynamic therapy (aPDT) is becoming a treatment option in dental medicine in different areas such as the diagnosis of malignant transformation of oral lesions, the treatment of head and neck cancer, as well as the treatment of bacterial and fungal infections [1, 2].
In periodontology, the conventional therapeutic approach for treating periodontal diseases consists of mechanical cleaning combined with chemical decontamination, or the use of antimicrobial therapy which can be applied systemically or locally. The mechanical debridement has its own limitations in removing all the infections, such as the difficulties in reaching deep pockets and, as a result, the etiological factors continue to damage the periodontal ligament. Also, when mechanical debridement is used frequently, it can cause damage of the root surface [3]. The limitations of the conventional periodontal therapy have shifted the focus towards aPDT, as an effective alternative treatment for periodontal diseases [4, 5, 6, 7, 8]. aPDT is having many advantages over conventional therapy. The main advantage is the fact that photosensitizer can be placed directly into the periodontal pocket and then activated with an optical fiber tip in order to kill microbial cells, without damaging the host tissues. This makes aPDT a safe procedure against periodontal microbiota [9, 10].
Many studies have demonstrated potential improvements after the use of aPDT in conjunction with mechanical debridement [11, 12, 13]. However, there are several studies that report different results [5, 14, 15, 16]. Atieh suggested as a result of his meta-analysis, potential improvements after aPDT combined with scaling and root planning in probing periodontal pocket depth (PPD) reduction and greater clinical attachment level (CAL) gain [13]. Similarly, in their study Sgolastra et al. reported that the combination of aPDT and conventional treatment provides additional benefits by reducing the PPD and increasing the CAL [11].
In endodontics, aPDT is used for the disinfection of the root canal. Conventional endodontic treatment consists of a combination of mechanical cleaning and shaping of the canals, the use of disinfecting solutions for irrigation and the placement of medicaments in between appointments. Sometimes, due to the root canal anatomy it is difficult to completely disinfect the canals by using only mechanical and chemical decontamination methods [17, 18]. aPDT demonstrated promising results as an adjunct therapy for the root canal disinfection in many studies. Raymond et al. [17] evaluated the efficacy of the combination of conventional treatment with photodynamic therapy
Photodynamic therapy is used also in oral and maxillofacial surgery due to its potential to be used as an anti-cancer treatment and its antimicrobial potential. Oral squamous cell carcinomas (SCC) are the most frequent tumors in the oral cavity [21]. Up to date the traditional methods for treating SCC have not been very successful in increasing the 5-year survival rate. Furthermore they cause different side effects such as mouth sore, jaw pain and difficulties in chewing or swallowing [22].
One of the developing factors of oral SCC are considered to be the pre-malignant lesions such as erythroplakias and dysplastic leukoplakias. Around half of oral SCC cases are associated with leukoplakias [23]. The potential therapeutic possibilities of photodynamic therapy are not limited only for oral SCC and other head and neck cancers, but also against pre-malignant, primary, recurrent and metastatic lesions [24, 25]. PDT when compared to conventional treatments of these lesions, has an advantage due to its selective tumor destruction and minimal invasiveness without affecting the healthy tissues. In addition, it can combined with conventional therapy to increase the overall treatment success [26].
The PDT antimicrobial potential in oral and maxillofacial surgery, is mostly used for the disinfection of soft tissue or bone during surgical interventions, as a preventive measure. In a study done by Neugebauer et al. [27] it was demonstrated that use of aPDT caused significantly lower incidence of alveolar ostitis. In a another study it was concluded that the effect of photodynamic therapy is almost the same as the effect of 2.5% NaOCl without causing adverse effects on surrounding tissues on periapical lesion model
PDT has recently also been used as an adjuvant therapy for the treatment of medication-related osteonecrosis of jaws (MRONJ), that is highly related to bisphosphonate-related osteonecrosis of the jaw (BRONJ). In a study done by Minamisako et al. [30], it was suggested that both low level laser therapy (LLLT) and PDT are beneficial in the clinical management of the MRONJ. Similarly, Rugani et al. [31] concluded that photodynamic therapy can be used as treatment option in the early stages of BRONJ or as an adjunct therapy when surgical intervention is indicated.
In 1978. Brånemark presented two-stage threaded titanium implants in a root-form [32]. The concept of osseointegration of the implants was first brought during the 1950s and 1960s after observing bone growth in contact with titanium. Brånemark defined osseointegration as: “A direct connection between living bone and a load-carrying endosseous implant at the light microscopic level.” [33]. Since then, dental implants have become a long-term reliable treatment option for replacing missing teeth [34]. An ideal implant should have the following properties: biocompatibility, adequate toughness, strength, corrosion resistance, facture and wear resistance [35, 36, 37].
The “gold standard” of dental implants are considered to be the implants produced from titanium and its alloys. Titanium has excellent biocompatibility and it was shown that long term surgical rates of titanium implants are excellent [38, 39]. However, due to their dark gray color sometimes the implants can reflect through the peri-implant soft tissue. This poses an esthetic challenge especially when a thin biotype of gingiva is present or when there is a resorption of the buccal lamina [39, 40]. Due to these reasons, many scientists have shifted their focus into producing ceramic implants [41].
The infection around dental implants can be presented as peri-implant mucositis or peri-implantitis. Peri-implant mucositis is a reversible inflammatory process and it affects only the soft tissues around the dental implant. This is followed by reddening, swelling and bleeding on probing [42]. Peri-implantitis on the other hand affects both soft and hard tissues around the implant and as a result loss of supporting bone occurs [43]. The microbial etiology of peri-implantitis is well documented in literature [44]. The microorganisms found in peri-implantits are very similar to those found in advanced periodontitis [45, 46]. Most of them are spirochetes and non-motile anaerobic Gram-negative bacteria such as:
According to Teughels et al. [49], the quantity and quality of plaque formation and bacterial adhesion on implant surfaces is influenced by the chemical composition, and the surface roughness of the implant. Rough surfaces and those with greater surface free energy, accumulate more plaque. Furthermore, initial bacterial adhesion is attracted more to surfaces with high wettability and pits and grooves in the roughened surfaces. The formation of bacterial plaque in these surfaces is difficult to remove.
To date, many treatment methods have been proposed for treating peri-implantitis. They can be grouped in two categories: resective and regenerative therapies [50]. The main goal of resective treatments is to eliminate the etiological factors of peri-implanittis and maintain optimal conditions. These treatments are mainly done by cleaning and decontaminating implant surfaces. Regenerative treatments aim to reconstruct the pre-existing hard and soft tissues by using bone substitute grafts, membranes and growth factors [50, 51]. Resective treatment of peri-implanitits is similar to the treatment of periodontitis and it consists of mechanical cleaning of the biofilm from the implant surface. This is of the utmost importance when treating peri-implanitits. During resective treatment, plastic curettes, air-powder abrasive or ablative lasers and ultrasonic scalers are used [52]. The main objective is to clean the surface which can stop the progression of the disease and increase the chances for re-osseointegration of the implant. However, due to the implant surface roughness, the bacterial adhesion and colonization is very difficult to remove and sometimes mechanical debridement alone is not very effective [53]. It has been suggested by some authors that the mechanical elimination of the implant threads and then smoothing the implant surface (implantoplasty) should be done, in order to improve the decontamination of the implant surface. In addition this procedure allows better maintenance and oral hygiene when threads are exposed to the oral environment [54]. When decontaminating the implant surface, the use of metallic curettes is not recommended due to the fact that they can alter the surface roughness of the implant and favor bacterial colonization. As an alternative, plastic curettes should be used because they do very little damage or none at all [55, 56].
Recently, as a treatment alternative, many scientists have shifted their focus towards the laser decontamination of the implant surfaces. In a study done by Kreisler et al. [57] the mechanical effects of Nd:YAG (Neodymium: yttrium-aluminum-garnet), Ho:YAG (Holmium: yttrium-aluminum-garnet), Er:YAG (Erbium: yttrium-aluminum-garnet), CO2 (Carbon dioxide) and GaAlAs (Gallium-Aluminum-Arsenide) lasers were evaluated, on different types of implant surfaces.. According to their results, Nd:YAG and Ho:YAG lasers cause significant damage to the implant surfaces, while CO2 and Er:YAG lasers when used in specific power settings do not cause any damage. GaAlAs laser did not damage the implant surface in any power settings. As an adjunct therapy to mechanical methods for treating peri-implantitis, the use of chemical decontamination and antibiotic therapy are being used with the aim of improving the treatment outcome. The most commonly used antimicrobial solutions are chlorhexidine, hydrogen peroxide, tetracycline or minocycline, citric acid, and phosphoric acid [58].
Recently aPDT has emerged as a new treatment option or adjuvant treatment to the conventional treatment of peri-implantitis. Its potential to decontaminate the implant surfaces without any damage to the implant or the surrounding tissues has generated a lot of interest in the scientific community. In addition aPDT is more effective than the use of lasers alone [53]. In their study, Hayek et al. [59] demonstrated that aPDT is both effective and non-invasive method when compared to traditional therapy during surgical treatment of peri-implantitis with elevated mucoperiosteal mucosal flaps. These beneficial characteristics of aPDT make it as promising novel and non-invasive method which can be used alone or as an adjunct therapy of peri-implantitis [2].
There are many
The study sample consisted of 144 sterile dental implants (72 titanium dental implants and 72 zirconia dental implants) (Bredent®, Senden, Germany). Both, titanium and zirconia dental implants were with a diameter of 4.0 mm and 12 mm of length, with sandblasted and acid etched surface. Each of the implants was in an unopened sterile packaging.
A bacterial suspension was prepared from three bacteria species:
The bacteria were cultivated separately in Columbia Agar for 72 hours and then, using thioglycolate broth, a bacterial suspension was prepared for each of the bacteria. The suspension of each of the bacteria was then mixed together in a joint suspension.
In a single use tubes 300 μl of the bacterial suspension was put and then each implant was put separately in single use tubes (Figure 1). The tubes were incubated in anaerobic conditions for 72 hours.
Implants placed in Eppendorf tubes containing bacterial suspension. Implants covered in their entire length by the bacterial suspension.
After the incubation period, the implants were taken out of anaerobic conditions and they were randomly divided into four study groups and two control groups, each group containing twelve implants (n = 12).
The implants were treated with a diode laser (Laser HF®, Hager Werken, Duisburg, Germany) and a toluidine blue-based dye (155 μg/ml, LaserHF® Paro-PDT solution). The laser parameters are presented in Table 1.
Wavelength: 660 nm |
Fiber tip: 320 μm optical fiber tip |
Power output: 100 mW |
Power density: 124.3 W/cm2 |
Irradiation Time: 60 seconds |
Distance from the implant: 5 mm |
PDT1 treatment parameters.
A combination of a diode laser (Helbo® Therapielaser, Helbo Photodynamic Systems GmbH & Co KG, Grieskirchen, Austria) and a phenothiazine chloride dye (Helbo® Blue photosensitizer) was used for the treatment of the implants belonging to this group. The laser parameters are presented in Table 2.
Wavelength: 660 nm |
Fiber tip: 3D pocket probe |
Power output: 100 mW |
Power density: 35.37 W/cm2 |
Irradiation Time: 60 seconds |
Distance from the implant: 5 mm |
PDT2 treatment parameters.
The implants belonging to this group, were treated with LED curing light (Optilight Ld®, Gnatus, Brazil). A red LED light, (Ledengin,Inc.®, San Jose, USA) was used in combination with a toluidine blue solution (Biognost®, Zagreb, Croatia). The laser parameters are presented in Table 3.
Wavelength: 660 nm |
Fiber tip: 6 mm LED composite curing tip |
Power output: 200 mW |
Power density: 0.71 W/cm2 |
Irradiation Time: 60 seconds |
Distance from the implant: 5 mm |
PDT3 treatment parameters.
The first step was coating the implants with the respective photosensitive dye according to the treatment group. After 60 seconds the implants were rinsed with sterile saline solution. For standardization of the treatment protocols for every treatment group, the implants, were placed in a rotating electric motor (Shenzhen Powerful Electronics, Shajing, China), with a rotating speed of 10 rpm.
The treatment time was 60 seconds for every group from a distance of 5 mm from the implant. The treatment procedures for titanium and zirconia implants are shown in Figures 2 and 3.
A titanium implant treated from a distance of 5 mm for 60 seconds while rotating on the electric motor.
A zirconia dental implant placed in a rotational motor and treated with PDT2 for 60 seconds.
The implants belonging to this group were placed in photosensitive dye (toluidine blue; Biognost®, Zagreb, Croatia) solution (1 mg/ml) for 60 seconds. Then they were rinsed with sterile saline solution.
Two control groups were included. The negative control group (NC) did not receive any treatment. After removing the implants from the bacterial suspension and keeping them in room conditions for 60 seconds, microbiologycal analysis followed.
The implants belonging to the positive control group (PC) were put in 0.2% chlorhexidine gluconate solution (Curasept ADS® Curaden International AG, Kriens, Switzerland) for a duration of 60 seconds. After their removal from the chlorhexidine solution, the implants were only rinsed with sterile saline to remove the remaining solution.
After treatment procedures each implant was placed in a tube containing 500 μl of phosphate buffered saline (PBS). The tubes were vortexed for 60 seconds (Vortex, Genius 3, IKA, Germany). This was done to remove the remaining bacterial cells from the implant surfaces.
From each tube, 100 μl were taken and using a 96-well microtiter plates a ten-fold dilution was performed and 30 μl of suspension from each well was then inoculated to Brucella agar plates.
The plates were placed in anaerobic conditions and after 72 hours and the colony forming units per milliliter (CFU/ml) were counted (Figure 4). MALDI Biotyper (Bruker Daltonics, Germany) was used to macroscopically differentiate distinctive colonies.
Visible colonies of bacteria on Brucella agar plate.
Scanning electron microscopy (SEM) was performed on one randomly selected implant from each of the treatment groups and one sterile non-treated implant. The implants for SEM analysis were stored for 2 hours in 2% paraformaldehyde and, later on dehydrated in increasing concentrations of ethanol (60%, 75% and 95%), for 30 minutes in each and dried overnight. The surfaces of the prepared implants were analyzed by SEM (Vega TS5136MM, Tescan, Brno, Czech Republic). The SEM images were taken at 1:250 magnifications under high vacuum (HiVac) with a high voltage (HV) of 30 kV. All the images were taken between the fourth and the fifth thread of the implants. As for the zirconia implants, they are non-conducting material and in order to make the samples conductive and avoid charging of the sample surface, the implants were coated with gold and palladium sputter (SC7620 Mini Sputter Coater, Quorum Technologies Ltd., UK).
The differences between the groups for each bacterial species separately and for the total count of bacteria, were compared by analysis of variance test (ANOVA) and Tukey test, as a post hoc. The level of significance was set at 5%. The statistical package SAS system for Windows (Release 8.02, SAS Institute Inc., Cary, NC, USA) was used.
To determine the difference among the groups and between the two types of implants, multivariate analysis of variance test was applied.
The comparison between the two types of implants: titanium and zirconia, regardless of the study groups, showed that there was a significantly lower number of bacteria on zirconia implants for all three types of bacteria separately, as well as for the total number of bacteria (Table 4).
For the comparison among the study groups regardless of the type of implant, Tukey test was applied. Regarding the total number of bacteria, the least bacteria were found in PDT1 and PDT2. These two groups were followed by PDT3 and PC without significant difference among them. The negative control group (NC) as expected, had the largest number of bacteria compared to the other groups. The same results were obtained for the number of each bacteria separately.
The total number of bacteria for every group and both implant types are shown in Figure 5 in schematic form. The difference between zirconia implants and titanium implants was not the same for all groups. The smallest difference between both types of implants in the number of bacteria was for the control group. The impact was almost the same for PDT1, PDT2, PC and TB, while the largest difference between titanium and zirconia implants were in the PDT3 group. The results for each of the bacteria separately are shown in Figures 6–8.
The total number of bacteria in logarithmic form, for both types of implants and for each study groups.
The number of
The number of
The number of
There were statistically significant differences among the groups for each of the bacteria separately and also for the total number of bacteria (p = 0.0022). These results are presented in Table 5 in logarithmic form. Regarding the total number of bacteria, the largest reduction was observed in the PDT1 (98.3%) and PDT2 (97.8%) groups. These two groups had statistically significant difference when compared to NC (p < 0.05). In the PDT3 group there was a 68.7% bacterial reduction, without statistically significant difference when compared to NC (Table 5).
Aggregatibacter actynomycetemcomitans | Porphyromonas gingivalis | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Factor | N | mean | st.d. | p* | N | mean | st.d. | p* | ||
Zirconia | 72 | 1.9 | (2.1) | 72 | 1.6 | (2.1) | ||||
Titanium | 72 | 4.9 | (2.5) | 72 | 4.9 | (2.6) | ||||
PDT1 | 24 | 1.9 | (2.2) | b | 24 | 2.0 | (2.5) | b | ||
PDT2 | 24 | 1.8 | (2.0) | b | 24 | 1.6 | (2.1) | b | ||
PDT3 | 24 | 3.1 | (2.9) | ab | 24 | 2.9 | (2.8) | ab | ||
TB | 24 | 4.3 | (2.7) | a | 24 | 4.0 | (2.7) | a | ||
PC | 24 | 2.9 | (2.7) | ab | 24 | 2.8 | (2.6) | ab | ||
NC | 24 | 6.2 | (1.3) | 24 | 6.2 | (1.6) | ||||
Factor | N | mean | st.d. | p* | N | mean | st.d. | p* | ||
Zirconia | 72 | 2.0 | (2.1) | 72 | 2.3 | (2.3) | ||||
Titanium | 72 | 5.3 | (2.7) | 72 | 5.8 | (2.5) | ||||
PDT1 | 24 | 2.6 | (2.5) | b | 24 | 2.8 | (2.6) | b | ||
PDT2 | 24 | 2.0 | (2.3) | b | 24 | 2.3 | (2.4) | b | ||
PDT3 | 24 | 3.1 | (3.2) | ab | 24 | 3.6 | (3.2) | ab | ||
TB | 24 | 4.5 | (2.9) | a | 24 | 5.0 | (2.7) | a | ||
PC | 24 | 3.2 | (2.7) | ab | 24 | 3.6 | (2.7) | ab | ||
NC | 24 | 6.4 | (1.8) | 24 | 7.1 | (1.5) |
Number of bacteria by implant type and treatment groups in logarithmic form.
p-value for MANOVA test.
abc - result of post-hoc comparison (Tukey test). Having the same letter means that there is no statistically significant difference.
Aggregatibacter actynomycetemcomitans | Porphyromonas gingivalis | Wilks’ lambda | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
N | mean | st.d. | p* | N | mean | st.d. | p* | p | |||
PDT1 | 12 | 3.3 | 2.2 | b | 12 | 3.7 | 2.5 | bc | |||
PDT2 | 12 | 3.1 | 2.0 | b | 12 | 2.8 | 2.4 | c | |||
PDT3 | 12 | 5.4 | 2.3 | ab | 12 | 5.2 | 2.2 | abc | |||
TB | 12 | 6.2 | 2.3 | a | 12 | 6.2 | 2.0 | ab | |||
PC | 12 | 4.7 | 2.7 | ab | 12 | 4.7 | 2.3 | abc | |||
NC | 12 | 6.5 | 1.7 | a | 12 | 6.8 | 1.9 | a | |||
Wilks’ lambda | |||||||||||
N | mean | st.d. | p* | N | mean | st.d. | p* | p | |||
PDT1 | 12 | 4.3 | 2.4 | ab | 12 | 4.7 | 2.3 | bc | |||
PDT2 | 12 | 3.6 | 2.4 | b | 12 | 3.9 | 2.3 | c | |||
PDT3 | 12 | 5.4 | 3.1 | ab | 12 | 6.1 | 2.5 | abc | |||
TB | 12 | 6.7 | 2.4 | a | 12 | 7.0 | 2.2 | ab | |||
PC | 12 | 4.9 | 2.7 | ab | 12 | 5.4 | 2.6 | abc | |||
NC | 12 | 7.0 | 2.2 | a | 12 | 7.4 | 1.8 | a |
Results of ANOVA and Tukey’s post hoc test for the titanium implants.
p-value for ANOVA test.
abc - result of post-hoc comparison (Tukey test). Having the same letter means that there is no statistically significant difference.
When each bacteria was compared separately, the PDT1 and PDT2 groups also showed the largest bacterial reduction. PDT1 group, was significantly more effective in the eliminating
The least effective among the groups, when compared to the NC group, was the TB group (62.4%). Compared to NC there was no significant difference neither for the total number nor for each bacteria separately.
Statistically significant difference was observed among the groups. This was the case for both the total number of bacteria and each bacteria separately (p < 0.0001). Every group showed vast bacterial reduction with statistically significant difference when compared to the negative control (NC). These results are shown in Table 6 in logarithmic form.
Aggregatibacter actynomycetemcomitans | Porphyromonas gingivalis | Wilks’ lambda | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
N | mean | st.d. | p* | N | mean | st.d. | p* | p | |||
PDT1 | 12 | 0.4 | 0.8 | a | 12 | 0.4 | 0.8 | b | |||
PDT2 | 12 | 0.4 | 0.6 | a | 12 | 0.3 | 0.5 | b | |||
PDT3 | 12 | 0.8 | 1.1 | a | 12 | 0.6 | 0.7 | b | |||
TB | 12 | 2.4 | 1.3 | 12 | 1.9 | 1.1 | a | ||||
PC | 12 | 1.2 | 1.0 | a | 12 | 0.9 | 1.2 | ab | |||
NC | 12 | 5.9 | 0.7 | 12 | 5.7 | 1.0 | |||||
Wilks’ lambda | |||||||||||
N | mean | st.d. | p* | N | mean | st.d. | p* | p | |||
PDT1 | 12 | 0.8 | 0.9 | b | 12 | 0.9 | 1.0 | b | |||
PDT2 | 12 | 0.5 | 0.7 | b | 12 | 0.7 | 0.8 | b | |||
PDT3 | 12 | 0.8 | 0.9 | b | 12 | 1.1 | 1.2 | b | |||
TB | 12 | 2.3 | 1.2 | a | 12 | 2.9 | 1.2 | a | |||
PC | 12 | 1.5 | 1.5 | ab | 12 | 1.8 | 1.5 | ab | |||
NC | 12 | 5.9 | 1.3 | 12 | 6.7 | 0.9 |
Results of ANOVA and Tukey’s post hoc test for the zirconia implants.
p-value for ANOVA test.
abc - result of post-hoc comparison (Tukey test). Having the same letter means that there is no statistically significant difference.
The PDT1, PDT2 and PDT3 had the largest bacterial reduction for each bacterium separately, as well as for the total count of bacteria. There was a reduction of more than 99% in comparison to NC. However, between these three groups the differences in bacterial reduction were not statistically significant difference neither for each of the bacteria separately nor for the total number of bacteria (p > 0.05).
The lowest bacterial reduction for each bacteria separately and also for the total number of bacteria was observed in the TB group. The PC group had lower bacterial reduction compared to PDT1, PDT2 and PDT3 without statistically significant differences among them. It also did not differ significantly compared to the TB in terms of the total bacterial count,
The SEM images from the PDT1, PDT2, and PDT3 groups did not show any surface alterations, cracks, or damage when compared to the images obtained for the sterile implants. Visually, their surface appeared to be very similar to the surface of the sterile implant, for both titanium and zirconia implants (Figures 9–12).
Sterile titanium implant; magnification 1:250 (left). Titanium implant treated with PDT1; magnification 1:250 (right).
Titanium implant treated with PDT2; magnification 1:250 (left). Titanium implant treated with PDT3; magnification 1:250 (right).
Sterile zirconia implant; magnification 1:250 (left). Zirconia implant treated with PDT1; magnification 1:250 (right).
Zirconia implant treated with PDT2; magnification 1:250 (left). Zirconia implant treated with PDT3; magnification 1:250 (right).
The clinical efficacy of PDT against peri-implantitis has been demonstrated in several clinical studies. In a randomized controlled trial study by Wang et al. [60] it was shown that PDT combined with mechanical debridement significantly improved pocket depth, clinical attachment loss, plaque index and sulcus bleeding index compared with baseline and the control groups in participants with peri-implantitis. Similar results were obtained in a 3 months randomized clinical trial done by Rakasevic et al. [61].
Since the main goal when treating peri-implantitis is to eliminate the bacteria from the soft tissues and the implant surface, in order to create conditions for grafting and re-osseointegration, the use of photodynamic therapy is mostly used as an adjunct therapy during the treatment of peri-implanitits with the purpose of eliminating bacteria from the rough surfaces of the implants. The treatment of peri-implantitis can be non-surgical and surgical. During the non-surgical treatment of peri-implantitis the photosensitive dye is applied on the pocket around the infected implant and the light source is applied. This procedure is shown in Figure 13.
(Left) application of the dye. (Right) application of the light source.
However, photodynamic therapy is mostly used in conjunction with surgical treatment of peri-implantitis as an adjunct therapy after implantoplasty, mechanical debridement and chemical decontamination of the implant surface. The surgical approach is presented in Figures 14–17.
Surgical treatment of peri-implantits. Visible bone resorption around the implants.
Implantoplasty procedure.
Application of the photosensitive dye.
Application of the light source.
One of the main reasons of implant failure is peri-implantitis. The prevalence rates of peri-implantitis differs among different studies and this is due to the different reporting methods and characteristics [62, 63, 64]. Van Velzen et al. [65] in their 10 years prospective cohort study reported a prevalence of 7%. Meijer et al. [66] reported that after 10 years 29.7% of patients were affected by peri-implantitis. Fardal et al. [67] report a rate of 53.5% at the patient level and 31.1% at the implant level, which is much higher than the data from other studies.
The treatment of peri-implantitis is complex and it often includes combination of conventional therapy with the addition of antimicrobials. However, use of antimicrobials does not have a long term effects and it can lead to antimicrobial resistance and development of superinfections [68]. Therefore, alternative antimicrobial approaches for achieving implant disinfection have been sought.
Photodynamic therapy is a promising alternative when treating periodontal diseases and peri- implant diseases. Up to date there have been many
Regarding the
The main focus of our study was to evaluate if photodynamic therapy is efficient in eradicating the bacteria from the implant surface when compared to the negative control group (NC) and to the conventional treatment with chlorhexidine solution (PC). Furthermore, the focus was to evaluate different types of devices and with different parameters and photosensitizers and the reaction of different bacteria to aPDT.
The results from our study showed that PDT1 and PDT2 groups were more eliminated 98.3% and 97.8% of the total number of bacteria when compared to NC group. These groups were the most effective among the study groups. Both PDT1 and PDT2 groups were a combination of a diode laser with a wavelength of 660 nm and a photosensitizer.
The results of this study are similar to other
In a study done by Haas et al. [64] it was demonstrated that 60 seconds of light exposure in combination with photosensitizer can effectively eradicate
The least effective treatment group was PDT3 without statistically significant difference compared to NC or PC groups regarding the total bacterial count. It must be noted that for the PDT3 group we used a modified dental LED light and not a diode laser. This was done to evaluate and compare the LED light against diode lasers as a light source.
The efficacy of LED lights as a light source in photodynamic therapy has been tested in many studies however, only a few studies have tested its efficacy on titanium implant surfaces. The results from these studies are conflicting since the study design and light source parameters differ greatly. In a study conducted by Cho et al. [73] the efficacy of a green LED light was tested. The LED light was combined with erythrosine dye and was evaluated against
In contrast to the
In our study we evaluated the efficacy of aPDT on two types of implants: titanium and zirconia dental implants. The efficacy of aPDT on zirconia implant surfaces has not been evaluated in other studies up to date.
The results obtained from our study showed that each test group was very effective in eliminating the bacteria from the zirconia surface and all had significantly lower bacterial count when compared to NC. However, in between the groups there was no significant difference. The higher efficacy of aPDT against zirconia surfaces when compared to titanium surfaces might be due to the surface properties of zirconia which might lead to a lower affinity of the bacteria to be attached to zirconia surfaces. Zirconia surfaces are smoother, have a lower surface roughness and lower surface free energy [75, 76]. In a study done by Scarano et al. [75] titanium and zirconia oxide discs were placed in the mouths of patients in order to evaluate in which surface the bacteria adhere less. After 24 h it was shown that there were significantly less bacteria on the zirconium oxide surfaces. Al-Radha et al. [76] showed similar results. In their study titanium blasted with zirconia and the zirconia material showed better results when compared to the titanium surface regarding the adhesion of bacteria after coating the surfaces with saliva pellicle.
PDT1, PDT2 and PDT3 in addition to the significant difference compared to NC, they also had significant difference from the TB group. The results of the PDT3 group for the zirconia dental implants were comparable to PDT1 and PDT2. This can suggest that LED light with additional improvements in light distribution and parameters can have an antimicrobial effect. As mentioned before there are conflicting results regarding the antimicrobial effect of using LED. Several studies reported beneficial results following use of LED lights, as a light source [77, 78]. On the other hand, several studies reported insignificant improvement in the treatment outcomes using LED light for PDT [74]. However, it is difficult to compare the results of present study with the previous ones, mainly due to the differences in the study protocols and lack of studies conducted on zirconia implant surfaces.
The use of diode lasers in many studies has been shown to be safe in regard to the implant surface, compared to Nd:YAG, Er:YAG, CO2 and Ho:YAG lasers, which can damage the implant surfaces [57]. Castro et al. [79] concluded that 980 nm diode laser irradiation does not damage titanium implant surfaces and seems to be safe irrespective of power output used.
In the present research, no structural changes on the implant surfaces following therapy was observed. PDT1, PDT2 and PDT3, did not cause visible damage on titanium or zirconia implant surface at a magnification of 1:250.
Regarding the clinical use of PDT, several studies reported conflicting results. Many studies demonstrated improvement in clinical outcomes of patients with peri-implantitis when aPDT was combined with mechanical debridement [60, 80, 81]. Romeo et al. [82] suggested that PDT is a useful adjunct therapy but it could not replace the mechanical and surgical treatment of peri-implantitis. Similarly other studies suggest that the PDT improves the outcomes of peri-implantitis [60, 83, 84].
On the other hand, there are several studies that report no added benefit from using PDT when compared to conventional treatment modalities for peri-implantitis [85, 86].
The results of this
It is of utmost importance that further clinical trials be conducted in order to clarify the potential efficacy of PDT as an adjunct therapy to peri-implantitis and clear and effective treatment protocols should be established in order to benefit the most from the properties of PDT.
The authors declare no conflicts of interest.
Auditory Evoked Potentials (AEP) are electric potentials from the auditory nervous system that can be evoked by presenting abrupt acoustic stimuli to the ear. Registration of the electric potential as a function of time after stimulus presentation shows a reproducible pattern of waves that occur at specific time points after stimulus onset. The time between stimulus onset and occurrence of an extreme value of a wave is called latency. As can be appreciated from Figure 1, responses span a time window of several orders of magnitude ranging from several milliseconds to a second. This wide range can be divided into three time-windows reflecting different latency ranges. Registrations within these different time-windows are generally called Auditory Brainstem Response (ABR) for short time-windows up to 8 ms, Middle Latency Auditory Evoked Potentials (MLAEP) from 8 ms up to approximately 40 ms, and Long Latency Auditory Evoked Potentials (LLAEP) for time-windows of 40 ms and longer. In this chapter we will focus on short latency ABR responses.
Impression of registration of an auditory evoked potential. The abscissa shows latency in ms after stimulus onset on a logarithmic scale. The ordinate shows the amplitude of the electric potential in μV.
Figure 2 shows the results of a PubMed search with terms “auditory” and “potential” and “brain stem” and “human” (the latter both in text and as mesh term). It can be appreciated that the first paper mentioning “auditory potential” was published in 1948, but it was not until the early 1970s that the subject generated a substantial number of publication year by year. In the early 1970s, Jewett and Williston [1] introduced labeling of vertex-derived positive extremes of the ABR waves with roman numerals. They also established that these waves are far-field potentials from subcortical structures, providing indirect evidence that wave I is volume-conducted from the eight cranial nerve. Furthermore, they concluded that “waves I through VI have sufficient reliability to be worthy of establishing clinical and experimental norms”. This makes them, and particularly wave V, suitable for objective audiometry based on wave occurrence and latency. Picton et al. [2] extended ABR nomenclature by introducing the prime for the vertex-negative extreme following a positive extreme. Thus V′ identifies the vertex-negative extreme following vertex-positive extreme V. In this chapter, we will refer to the vertex-positive extremes as peaks. The first intracranial recordings in humans were, to our knowledge, reported by [3, 4]. In the first study, potentials were recorded from the intracranial part of the auditory nerve in patients undergoing operations for cranial nerve disorders. The results indicated that the auditory nerve gives rise to the first two of the peaks in the scalp-recorded ABR and not to only the first peak. The latter study concluded on the basis of in-depth recordings during brain surgery that waves II and III are primarily generated within the pons, with possible contributions from the auditory nerve. Waves IV and VI originate from the pons and the medial geniculate body respectively. In Section 2 we will discuss the sources of the ABR more extensively.
Number of publications with search terms “auditory” and “potential*’ and “brainstem” (solid line) and “auditory” and “potential*” and “brainstem” and “audiometry” (dashed line). The term “Human” was used as a search term both in full text and as a Mesh term.
Clinical application of ABRs includes identification of the site of lesion in retrocochlear hearing loss, establishing functional integrity of the auditory nerve, and objective audiometry. With the advent of Magnetic Resonance Imaging (MRI) for the detection of acoustic neuroma, the clinical use of ABR for this purpose has declined. ABR remains an important tool, however, for establising neural functional integrity in cases of suspected auditory neuropathy and objective audiometry in newborns. Section 3 will give an overview of all aspects of clinical ABR measurements.
Many countries have established Universal Newborn Hearing Screening Programs for the identification of children with permanent congenital hearing loss. Outcomes of these programs include a lower age of identification, lower age of provision of amplification, and better speech production and perception [5]. Infants who do not pass newborn hearing screening are referred for diagnostic audiological assessment to determine the degree and type of hearing loss, and hearing loss configuration. Hearing thresholds in newborns are typically estimated by using ABR for objective audiometry because behavioral techniques such as Visual Reinforcement Audiometry (VRA) or Conditioned Play Audiometry (CPA) are not feasible at a very young age. Another application of ABR is the detection of ototoxicity in young children that are treated with cisplatin for cancer or (concomitantly) with aminoglycosides or glycopeptides antibiotics for infections. Section 4 will discuss the application of frequency-specific stimuli for objective audiometry in these patient groups. Finally, in Section 5 we will discuss an example of the application of binaural ABR measurements as an objective measure of directional hearing ability.
The structures that contribute with their stimulus-evoked electrical activity to the ABR are the auditory nerve, cochlear nucleus, superior olive complex, and the lateral lemniscus. These structures will be briefly described with respect to their physiological responses and function.
Comprehensive overviews are provided for instance in [6]. Since the ABR is often used, both in the clinic and in animal experiments, to assess hearing loss caused by damage in the cochlea, that structure is included.
Sound reaches the cochlea via the outer ear canal, tympanic membrane, and middle-ear ossicles. The sensory organ in the cochlea, known as the organ of Corti, is located on the basilar membrane, which stretches from the base near the footplate of the stapes to the apex. Due to gradients of its mechanical properties from base to apex the basilar membrane functions as a frequency filter bank and it is tonotopically organized: it maximally vibrates to high frequencies of the sound at the base and to low frequencies towards the apex, and each place along the basilar membrane corresponds to a frequency it is most sensitive to, a characteristic frequency (CF). Vibrations start at the base and travel towards the apex, a phenomenon known as the traveling wave. Consequently, cochlear responses occur faster after stimulus onset to high frequencies than to low frequencies.
In the organ of Corti, two types of sensory hair cells are distinguished: inner and outer hair cells (IHCs and OHCs, respectively), which are arranged in four rows in the ratio 1:3 and which differ distinctly in function. The IHCs act as mechano-electrical transducers passing through the acoustical information to the nerve, and the OHCs act as amplifiers, increasing detection sensitivity by 40–50 dB and increasing frequency selectivity. In both types of hair cells, acoustical vibrations are converted to electrical potentials. In IHCs these receptor potentials trigger action potentials in the nerve. For that purpose, each IHC is innervated by 10–20 afferent auditory nerve fibers, which are myelinated and which systematically vary in spontaneous rate (SR) and the threshold at their CF [7], the latter allowing for a wide dynamic range to be encoded. In the OHCs, the receptor potentials trigger the cells to contract and expand, and this motility is thought to amplify the basilar membrane vibrations, in particular at low sound levels. Irrespective of the mechanisms, OHC loss leads to a threshold shift of 40–50 dB and deterioration of frequency tuning. Each OHC is innervated by a single unmyelinated afferent fiber, and it shares this fiber with several other OHCs. These fibers have very high thresholds (>90 dB SPL). The great majority of the afferent auditory nerve fibers (~95%) receive input from the IHCs. An auditory nerve of a young normal-hearing subject contains about 35.000 fibers.
Action potentials that are generated at the IHC synapse are propagated along the auditory nerve to the cochlear nucleus (CN). The nerve branches to three divisions of the nucleus: anterior ventral cochlear nucleus (AVCN), posterior ventral cochlear nucleus (PVCN), and dorsal cochlear nucleus (DCN). The AVCN contains for the large part bushy cells which show similar responsiveness as the auditory nerve fibers. Their onset response latencies are ~0.6 ms longer than that of the nerve fibers [8]. Notably, the timing of the action potentials is more precise than that of the auditory nerve, i.e., when stimuli are presented repetitively, the action potentials have a very similar latency. The PVCN contains, among other cell types, multipolar cells which show so-called chopper responses with longer latencies than the bushy cells. The frequency tuning in AVCN and PVCN is similar to that in the auditory nerve. The DCN has a complex circuitry of various cell types including inhibitory interneurons. Consequently, many DCN neurons show frequency tuning that is characterized by excitatory responses to limited frequency-sound level combinations, and inhibitory responses to a wide range of frequencies and levels.
The bushy cells in the AVCN project to the superior olivary complex (SOC), which is the first station along the auditory pathway to combine input from both ears [9]. Specifically, the spherical bushy cells send their precise phase-locked action potentials to both ipsi- and contralateral medial superior olive (MSO) and to the ipsilateral lateral superior olive (LSO); globular bushy cells project to the contralateral medial nucleus of the trapezoid body (MNTB) from where inhibitory input is delivered to the LSO. Receiving well-timed input from both ears, neurons in the MSO are tuned to interaural time differences (ITD), and receiving ipsilateral excitatory and contralateral inhibitory input LSO neurons are sensitive to interaural level differences (ILD).
The next station in the auditory brainstem is the lateral lemniscus (LL), which globally can be distinguished in a ventral nucleus (VNLL) processing monaural information and a dorsal nucleus (DNLL) processing binaural information. The VNLL receives input from the contralateral CN, and the DNLL receives input from ipsilateral MSO and bilateral LSO.
Monaural and binaural pathways from each of the above-described brainstem nuclei converge in the inferior colliculus (IC). It allows the IC to process several auditory features including basic spectrotemporal features [10] and 2-dimensional spatial information [11].
The ABR waveform is commonly described as consisting of five peaks. Peaks III and V typically dominate peak II and IV, respectively, and are the ones to be best observed in daily practice in a clinic or laboratory. Peak I appears more prominently in animals than in humans, where it fades faster with decreasing stimulus level than peaks III and V (see also Section 3.6). Electrical activity from the auditory nerve and brainstem nuclei contributes to the ABR. A first-order approach to understand which neural population corresponds to which peak, is to consider the sequence of nuclei in the pathway. The inter-peak interval of approximately 1.0 ms agrees with the axonal conduction time and synaptic delay between the generation of action potentials at two successive neurons. Indeed, as summarized by [12] for the human ABR partly based on intraoperative recordings, peak I reflects the activity of the auditory nerve, peak III that of the CN, peak IV the SOC, and peak V the LL. Peak II is generated by the central part of the auditory nerve, likely where it branches to the three CN divisions. In smaller mammals used in auditory research like gerbils, mice, and guinea pigs, rather four than five peaks are distinguished with peak IV being analogous to peak V of the human ABR [12]. A fifth peak would then reflect responses in IC, as a correspondence to IC evoked potentials in mice indicated [13]. Based on a series of careful lesion and modeling studies of click-evoked ABRs in cats, [14] linked peak I to the auditory nerve, II to the globular bushy cells in AVCN, III to spherical bushy cells and cells driven by globular cells, IV to MSO principal cells, and V to cells driven by MSO principal cells.
In a secondary approach, one should consider that the early stations besides contributing to early peaks can also contribute to later peaks. We consider the ABR evoked by the most commonly used stimulus, a broadband click. As a consequence of the traveling wave mechanics, the click response latency in the auditory nerve is shortest for high-CF neurons and increases with decreasing CF [15], which leads one to conclude that high-CF fibers contribute to wave I [14]. The low-CF fibers with longer latencies and multi-peaked responses (with inter-spike intervals of 1/CF) therefore may contribute to later waves. In particular for high click levels, the high-CF fibers show second firings about 1 ms after the first action potential, an interval that is related to the neural refractoriness [16], and notably, similar to the ABR inter-peak interval. The same notion applies to the CN bushy cells, i.e. those with lower CFs have longer click latencies and may contribute to later peaks.
The following factors determine the extent to which a neural population contributes to the ABR: the number of responding neurons, the discharge probabilities of the individual neurons, the discharge latencies, the synchronization of discharges between neurons, the synchronization of the individual neuron, and the unit response (UR). How action potentials of a neural population shape an ABR wave is illustrated in Figure 3 by the compound action potential (CAP), which reflects the auditory nerve response, thus analogous to wave I of the ABR. The CAP is mathematically described as the convolution of the compound discharge latency distribution (CDLD) and the UR, a concept introduced by [18]. An example of a CAP with corresponding CDLD and UR is shown in Figure 3, along with the convolution equation.
Example of CAP and corresponding CDLD, which is constructed based on the CAP and depicted UR using the convolution equation. The UR is modeled after experimental guinea pig data [
The CDLD is the sum of the discharge probabilities of all responding auditory nerve fibers, which are typically recorded by poststimulus time histograms (PSTHs) acquired by presenting the stimulus a few 100 times. The discharge probability is the ratio of discharges and the number of stimuli. The synchronization is high when to each stimulus presentation the latency is very similar, thus resulting in a peaky PSTH, and the synchronization is low when the discharges are spread. The click-evoked PSTH in Figure 3 has a latency of about 2.0 ms with some discharges at 1.8 ms and some at 2.3 ms; the second peak reflects second discharges of the neuron. The CDLD will be relatively narrow when the PSTHs of the responding neurons have the same latency, and broad when the latencies vary among neurons. The latter applies to the auditory nerve since fibers with a low SR have typically longer latency than the fibers of high SR [15]. The UR is the potential at the recording electrode that results from a single action potential. Obviously, it determines both the size and shape of the AEP waveform, and it depends mostly on the distance of the electrode from the neural population. Generally, the UR depends on specific electrode configurations, the tissue between electrode and neurons, which includes electrodes at the skin, and skull characteristics. It is the factor that is most difficult to assess; for the CAP, it has been assessed by recording the potential at the CAP-recording site around the occurrence of action potential [17, 19, 20]. Each neuron may have its UR depending on the neuron’s location and morphometry. For the auditory nerve it can be assumed that the UR does not vary significantly with CF and SR [17], an assumption that generally works well when using the UR to predict CAPs [21, 22, 23]. The neural populations in the brainstem, however, will have URs that vary greatly between nuclei [14].
As an approximation, the CAP amplitude is proportional to the number of responding neurons (N in equation in Figure 3). Figure 4 shows amplitudes of CAPs evoked by an electrical current pulse as a function of the number of auditory nerve fibers in guinea pigs.
Amplitudes of CAPs to electrical pulse stimulation (eCAPs) as a function of packing density of spiral ganglion cells. Data are acquired in 97 guinea pigs that are normal-hearing or ototoxically deafened with varying duration of deafness (2–14 weeks). Electrical pulses used were biphasic pulses with a phase duration of 50 μs and inter-phase gap of 30 μs and alternating polarity. Current levels are maximal, i.e., at or near saturation. The packing density reflects the number of surviving neurons. For methodological details see Ramekers et al. [
Most of these guinea pigs have been deafened and consequently, the number of neurons, quantified by packing density of the cell bodies in Rosenthal’s canal at different durations of deafness, varied widely [25]. Using an electrical stimulus, synchronization is expected to be large, and the great majority of surviving neurons are expected to respond, creating an ideal condition to test the convolution approximation. Indeed, the CAP amplitude significantly increases with the neural packing density, however, the amplitude varies enormously among guinea pigs, and the variance is only explained for 36% by the packing density. This outcome confirms that the number of responding neurons is an important factor, but at the same time it underscores the unreliability of amplitude as a measure of auditory evoked potentials including the ABR.
How do responses with different latencies add up? To address that question again the CAP provides a good illustration as shown in Figure 5.
Illustration of summing of two waveforms with varying latencies. In the left column, the latency difference between the first and second contribution is 0.6 ms, and in the right column, the latency difference is 0.4 ms. The size of the contributions is unchanged. The resulting waveforms (bottom row) differ greatly in that the left one shows a clear second peak, whereas the right one shows only one peak. The waveforms here show CAPs, but the principle applies to ABRs as well.
The example shows two CAP contributions, with a ratio second/first of 0.25, and a latency difference of CDLD of 0.6 ms (left column) and 0.4 ms (right column). The difference of 0.2 ms has enormous consequences for the resulting waveforms. The left waveform shows two distinct waves (N1, P1, N2, P2) but the right waveform shows a merged P1-P2 while the N2 has vanished. It illustrates an often occurring phenomenon of ABRs that waves appear as merged components, therefore not showing the classical 5 waves.
The URs of the various brainstem nuclei are crucial for how the potentials add up. As the URs depend on recording sites, the effect of changing electrode sites is demonstrated in Figure 6 showing click-evoked ABRs in a normal-hearing guinea pig, first with skin needles as electrodes, second with screws implanted in the skull as electrodes. For the different click levels, the waveforms show clear differences.
Click-evoked ABRs recorded from normal-hearing guinea pigs. Clicks consisted of monophasic pulses of 20 μs with alternating polarity, presented at a rate of 10.1/s. The levels indicate dB attenuation relative to ~110 dB pe SPL. Subcutaneous needle electrode configuration: Active electrode behind the ipsilateral pinna, reference electrode on the skull, rostral to the brain, and ground electrode in the hind limb. Transcranial screw electrode configuration: active electrode 1 cm posterior to bregma, and the reference electrode 2 cm anterior to bregma; as ground electrode a subcutaneous needle electrode in the hind limb was used. For methodological details see [
ABR waveforms vary with degree and types of hearing loss. We discuss two different types of common pathologies with respect to the consequences for the click-evoked ABR, OHC loss in basal cochlear regions, and synaptopathy.
OHC loss in basal cochlear regions, for instance, caused by ototoxic medication, noise trauma, aging, or any combination of these, leads to high-frequency hearing loss and to degradation of frequency tuning, which both have consequences for click-evoked responses of the auditory nerve. First, the latency increases with decreasing click level will be larger than normal, since for the lower levels the neurons from apical regions, which have late responses because of the traveling wave delay, will dominate the contributions to the ABR. Second, the difference in auditory nerve responses between rarefaction and condensation clicks (see Section 3.4 on stimulus polarity), which is negligible in normal ears, will increase in particular with respect to latency. Basal neurons in regions of OHC loss show decreased sensitivity for high frequencies and increased sensitivity for low frequencies [26], which can be characterized as double frequency tuning, leading to click responses with short latencies typical for high-CF click responses and latency differences between rarefaction and condensation clicks reminiscent of low-CF responses [27]. While this polarity asymmetry occurs at high click levels, at low levels the dominating low-CF responses will cause a latency difference in responses between the rarefaction and condensation polarity. Third, shallow frequency tuning may lead to increased synchronization [27], which can be explained by considering the click response as an impulse response of which the frequency tuning is the Fourier transform.
In animals, it has been demonstrated that aging leads to loss of neurons because of damage to the IHC synapses while the IHC itself remains functional [7]. Exposure to noise also when not leading to IHC loss augments this cochlear synaptopathy. The amplitude of wave I of the ABR has been found to be strongly correlated to the survival of IHC synapses in mice [28] reminiscent of the correlation between eCAP amplitude and neural survival in Figure 4. In humans, neural degeneration also occurs with increasing age, and speech perception has been shown to be affected by the neural loss as quantified in a post-mortem histological analysis [29]. The low-SR neurons, which have high thresholds, are especially vulnerable for synaptopathy and therefore the ratio of wave I amplitudes at high and low stimulus levels is regarded as a measure of synaptopathy. Carcagno and Plack [30] underscored the use of this ABR measure as they found a decrease in the wave I ratio with age. Alternatively, the ratio of wave I and wave V amplitudes is sometimes used.
For clinical ABR measurements, an acoustical stimulus is presented to the patient and electrodes mounted to the skin of the head record the neural responses. Generally, short-duration stimuli are used, and the response is acquired in a time-window of about 10–20 ms starting at stimulus onset. High-quality recordings require good contact between skin and recording system. Therefore, electrodes should be applied to the skin carefully to minimize the electric impedance between electrode and skin. Many different types of electrodes are available, both disposable and non-disposable. The quality of the electrodes and their application is of utmost importance for a high ABR recording quality. Essential is that inter-electrode impedance is kept below 5 kΩ, preferably below 3 kΩ. If this cannot be achieved, then at least the interelectrode impedances should be symmetric, for instance all-around 8 kΩ, as will be explained below. Inter-electrode impedance should be kept stable during the ABR assessment, so well-fixated electrodes are required.
For single-channel ABR-recording, one electrode (the so-called active electrode) is attached to the skin, generally at the midline of the head somewhere between forehead and nape. The ABR amplitude is higher when its position is closer to the vertex. A second electrode (also called the reference electrode) is attached at ear level, for instance, close to the upper border of the mastoid plane. The position of the third (ground) electrode is not very critical. Often, an off-midline location on the forehead is chosen (see Figure 7), but for a single-channel recording, the ear-level position at the contralateral ear can also be used. In that case, when changing stimulation side, the reference and ground electrode should be exchanged.
Measurement setup for a single channel ABR measurement with an electrode on the midline, an electrode at ear level, and a grounding electrode off mid-line on the forehead.
ABR-potentials are also extremely small in comparison to other (interfering) potentials picked up by the electrodes. Therefore, high recording quality requires knowledge about the possible origins of these interferences and methods to reduce their strengths.
As ABR-potentials are in the range of 0.002–2 μV, amplification by a factor of 10,000–100,000 is required before the signals can be processed and interpreted. To achieve the high amplification factor that is required, differential amplifiers must be used. This type of amplifier has three connectors, two for input to the amplification channel (so-called plus and minus inputs) and one ground connector. Commonly, the midline (active) electrode is connected to the plus input, and the ear-level (reference) electrode is connected to the minus input. The third (ground) electrode is connected to the ground connector. In multi-channel ABR-recording systems, different channels share the active and the ground electrode. For each extra channel, only a separate reference electrode is needed. Often an ipsilateral ear-level electrode is used as a reference electrode for channel 1 and a contralateral ear-level electrode is used as a reference electrode for channel 2.
A differential amplifier suppresses the contribution of potential variations that are (approximately) common to the plus and minus input connectors, thereby reducing their contribution to the amplifier’s output signal. The common-mode rejection ratio is the amplifier characteristic that reflects to what extent this suppression is successful. It should be at least 90 dB for high-quality ABR measurements. The common-mode rejection ratio degrades significantly when electrode impedances are too asymmetric, for instance, 2 kΩ for the reference electrode against 10 kΩ for the active electrode. So, inter-electrode impedance symmetry is essential for reaching a common-mode rejection ratio as high as is specified for the amplifier that is used.
Overloading the amplifier is unavoidable in ABR recording. Activation of head and neck muscles, for instance, may produce potential variations (EMG potentials) between the plus and minus connectors of 10–50 mV. To avoid overloading the first stage amplifier with an amplification factor of say 1000, the amplifier’s output signal should be able to vary up to 10–50 V without saturating. Such a large output dynamic range of the amplifier requires a high power-supply voltage to avoid too many overloads. If the power supply of the amplifier cannot accommodate these high output levels, the output signal will saturate at its maximum or minimum extreme values and stay at that level for a time. Saturation generally occurs a little below the power-supply voltage. For instance, with a power supply voltage of 15 V, just below +15 V or −15 V.
One of the most important characteristics of the amplifier is its behavior when it recovers from overloads. This behavior is never listed in the specifications of the amplifier because the specifications only describe the normal functioning of the amplifier and not how it behaves after an overload. Some amplifiers show recovery behavior that makes them unfit for ABR recording, especially when the recovery potential waveform is a damped resonant. We advise to check this behavior of the amplifier, by using a single overloading pulse as the input signal.
Every ABR measurement system uses an analog bandpass filter in the input stage to suppress all non-ABR-related content of the input signal. Depending on the slopes of the passband, appropriate high pass and low pass cut-off frequencies should be selected. The steeper the slope in dB/oct, the lower the value of the high pass cut-off frequency should be. For a slope of 24 dB/oct, the high pass cut-off frequency should be as low as 10–15 Hz. A quadrupling of that range is allowed for each halving of the slope. For example, for 6 dB/oct filter slope, the high pass cut-off frequency should be set at 160–240 Hz. The low pass cut-off frequency is less critical, as long as it is above 2 kHz for a slope of 6 dB/oct, with a quadrupling per doubling of the slope. After analog-to-digital conversion that occurs at some point in the signal processing, various filter designs can be used providing such filtering uses linear phase filters. In addition to amplification and filtering, four other methods are used to suppress the interfering potentials as much as possible to improve the quality of the ABR-recording: averaging, artifact-rejection, windowing, and alternating the stimulus polarity.
Most of the interfering potentials are not synchronous with stimulus onset but start randomly at a certain time point after stimulus onset. Consequently, at a specific time-point after stimulus onset, the measured electric potential amplitude consists of the ABR amplitude (signal) at that time-point and the sum of randomly distributed interfering potential amplitudes (noise). The first component (signal) is very weak compared to the second (noise). The signal, however, is causally related to the stimulus, while the noise varies randomly in amplitude and sign. By averaging the responses of many repeated fixed-level stimulus presentations, the values of the noise potential amplitudes tend to cancel each other, resulting in an average value of zero. The average of the ABR component, however, is not zero and its relative contribution increases with the increasing number of stimulus presentations. When calculating the average value after 1000–2000 stimulus presentations, the ABR component is generally stronger than the noise component and the ABR waveform emerges from the noise. For higher ABR amplitudes, commonly at higher stimulation levels, the number of averaged single-stimulus responses can be lower than at lower stimulation levels to arrive at the same ABR signal-to-noise ratio.
Averaging the response of multiple stimulus presentations increases the signal-to-noise ratio drastically. The signal-to-noise ratio can be improved even more by a non-linear filter process called Artifact Rejection (AR). This process imposes a lower and upper limit on the electrode potential values that are accepted as valid measurements during a single registration at a fixed stimulus level. The idea is that if this value is exceeded during that registration, the response is dominated by interference and does not reflect the auditory nerve and brainstem responses. The upper and lower limit values are commonly set symmetrically as + and − a specific voltage value called the AR level. If any of the values in the sequence exceeds the AR level, the whole sequence is rejected for averaging. ABR systems in general allow the setting of the AR levels in μV, so for instance +/− 15 μV. For good quality ABR recording the AR level should be somewhere between 15 and 25 μV. Some ABR systems allow specification of the number of times that the AR levels may be exceeded before rejecting the whole sequence. For good-quality ABR recordings this number should be low, close to zero. Other signal averaging systems do not use stimulus amplitude as an AR criterion, but the AR rate. For instance, say that to have arrived at 1500 accepted responses for averaging, 1650 stimuli had to be presented. In other words, the responses to 1500 stimuli were accepted and the responses to 150 stimuli were rejected. In that case, the rejection count was 150, and the rejection rate was 150/1650. Setting an AR rate instead of absolute response amplitude levels for AR may result in accepting averages that are dominated by a few contaminated responses with high potential amplitudes, for example of myogenic origin. In terms of statistics, this approach may lead to a higher type II error probability (i.e. the mistaken acceptance of a false null hypothesis). Therefore, we advise against the use of such averaging systems for clinical ABR assessment.
In unweighted averaging, every accepted response sequence after a stimulus presentation contributes equally to the average value after say 1500 stimulus presentations. In weighted averaging, however, each accepted response sequence is assigned a weight. This weight is calculated by some paradigm. For example, the weight could be determined by one over the variance of the sequence. This results in a final average with a larger contribution of the sequences with less interference (=lower variance). Manufacturers of ABR measurement systems generally do not specify the specific paradigm used in their system. Combining weighted averaging with AR is sometimes called Bayesian AR. This procedure uses weighted averaging for stimuli that are still within specified AR limits, assigning less weight to responses with higher amplitude. Responses with amplitudes that lie outside the AR limits are still rejected.
To get a grip on the always present interference, one needs to know the origins of interfering potentials. The interfering noise can be synchronous to (or in sync with) the stimulus or not. In the first case, averaging does not help to reduce the amplitude of the interfering components. Furthermore, the interfering components can be of the physiologic origin or not.
Interfering potentials with a physiologic origin are potentials generated within the patient’s body, e.g. by muscles, the brain, the eyes. Muscle activations are the most powerful source. Due to the differential type of amplification, only muscles at the head cause significant interference. Their interference comes in two different kinds. (1) In sync with the stimulus, caused by the (strong) auditory stimulation used with the ABR recording. The muscles involved are located postauricular (the muscles that can move the pinna) and in the neck (the sternocleidomastoid muscle). (2) Not-in-sync with the stimulus, caused by muscle activation at the level of head and neck, with muscles of the neck and jaw as major sources. The brain is also a source of interfering potentials, albeit normally much weaker than myogenic potentials in the ABR-frequency band. All brain activity not related to the auditory system causes interfering potentials. The eye is also a weak source of interference in the ABR-frequency band.
Non-physiological interference can be introduced by the recording and stimulation system itself, by other (medical) devices coupled to the patient, and by irradiation from external sources. The ABR-system can introduce interference by (1) the auditory stimulator used for eliciting the ABR, the so-called stimulus-artifact, or (2) error or poor electrical design of the system.
Generally, the stimulator contains an electrodynamic loudspeaker that generates an electromagnetic wave resulting from its coil movements. This waveform mirrors the electrical stimulus waveform (more specifically, convolved by the stimulator’s impulse response). If this coil is close to electrodes or their leads an artefactual potential variation is introduced by electromagnetic induction. Obviously, this interfering potential is in sync with the stimulus and is not reduced in strength by averaging.
The most frequent causes of error are mains interference caused by ground loops originating in the amplifier and are caused by poor design of its power supply. For instance, the power supplies of the stimulus amplifier and the physiologic amplifier should be completely independent. If not, the supply voltage of the physiologic amplifier can suffer a dip when a strong stimulus is presented. Due to the extremely high amplification factor of the physiologic amplifier, even a very small dip can cause a significant output signal variation. This may incorrectly be interpreted as input signal variation. Another example: in a multi-channel recording system the power supplies of the amplifiers of different channels should be independent and mutually completely decoupled to keep the common-mode-rejection factors independent.
Coupling of the patient to other medical equipment, like a heart-lung monitor in the intensive care unit or operation theater, often causes ground loops confounding the physiologic amplifiers’ function with mains interference. The patient, the electrode wiring, and the pre-amplifier are also antennas that pick up the electromagnetic fields from the environment by induction. There is a multitude of possible sources, like radio broadcasting, wireless telephones, pagers, automatic doors, etc.
Identification of the origins of the interfering signals requires inspection of the raw amplified electrode signal during the averaging process. This can be done by observing a free-running registration that is in sync with stimulus presentation.
When the difference in skin-electrode impedance is high for different electrodes (inter-electrode impedance), non-physiological interferences generate higher interfering potentials in the ABR measurement system. Therefore, keeping inter-electrode impedances below 5 kΩ and preferably below 3 kΩ, helps to reduce the interference induced by stimulus artifact and electromagnetic irradiation. If this interference is still too strong, it helps to lower the inter-electrode impedances even further down to under 1 kΩ.
The stimulus artifact has the waveform of the convolution of the electrical stimulus waveform and the stimulator’s impulse response. With any waveform of the stimulus, there is first compression or reduction of the air pressure in the ear canal, the air is first condensed or first rarefied. The stimulus polarity is named accordingly: condensation or rarefaction. By alternating the electric stimulus polarity in the series of say 1500 stimuli used for one stimulation level, the alternating waveforms of the stimulus-artifact cancel each other from one stimulus to the next, because these are in anti-phase. At higher stimulation levels, however, the impulse response of the transducer might be somewhat asymmetric as to the phase, and therefore subsequent stimulus artifacts do not cancel exactly anymore. As a result, a stimulus artifact will remain present in the averaged response. This will occur specifically at levels close to the output limits of the transducer and with damaged transducers (after a drop to the floor for instance).
Increasing the number of averaged (accepted) responses increases the signal-to-noise ratio of the resulting ABR waveform. This only holds, however, for stationary noise. In clinical measurements, ABR interfering noise is in general very non-stationary in character. Therefore, averaging more than 2500 sweeps generally does not result in further improvement of the signal-to-noise ratio.
As myogenic potentials generate the strongest interference, the ABR-recording quality can be greatly improved by reducing muscle tension in the patient. This can be done by several conservative methods. (1) Placing the patient in a relaxing position in a special chair or on a bed, with special attention for a relaxed head position. (2) Keeping the patient’s head position in the midline. Asymmetric pre-tension of both sternocleidomastoid muscles may lead to an asymmetric and stronger muscle-artifact in sync with the stimulation. (3) Showing a (soundless and non-thrilling) video at a height that forces the patient to steer the eyes to the midline of the lower half of the view field. When such measures do not suffice, additional (medical) measures can be taken, of course with medical authorization and/or control. (1) Giving relaxing drugs to the patient (obviously with authorized control). Some drugs, like ketamine, are unfit however because they provoke abnormal brain activity with higher interference in the ABR-frequency band as a result. (2) Giving full anesthesia with muscle relaxation and ventilation. In that case, however, care must be taken that the anesthesia is deep enough. Light anesthesia causes an enhancement in the higher-frequency components of the EEG, resulting in enhanced interference in the ABR-frequency band.
To provide ABR-recordings with as much information as possible, the following procedures will help. (1) Make a two-channel recording at each stimulus level. (2) Create separate (sub)averages for different combinations of stimulus polarity, i.e. a (sub)average for condensation, rarefaction, and alternating polarity. (3) Create (sub)averages for test-retest measurements. (4) Record ABR responses at various levels of stimulation, spanning the (remaining) dynamic range of the auditory system for the side of stimulation, with five different levels if possible. (5) Present the different ABR recordings ordered vertically with the highest stimulus level on top. This creates an ABR pattern, that facilitates inspection of peak latency shift against stimulus intensity. If separate registrations for test-retest or condensation-rarefaction polarity are available, pairwise presentation per stimulus level is preferred. (6) Repeat steps 4–5 interactively during ABR assessment to arrive at the optimum result in the available time for assessment, “biding your time”. This way the next stimulation level to be measured can be chosen optimally.
In two-channel recordings, the active electrode of an amplification channel is commonly positioned at the midline of the head, e.g. the vertex, and the reference electrodes at ear-level. With the reference-electrode at the side of stimulation, the ipsilateral ABR is recorded. With the reference electrode at the ear opposite to the side of stimulation, the contra-lateral ABR is recorded. The ipsi- and contralaterally measured ABR waveforms differ in specific aspects that can help to identify the ABR waveform peaks I–V. The most important differences are (1) peak III has a somewhat shorter latency in the contra-laterally derived ABR-waveform; (2) peak V has a somewhat longer latency in the contra-laterally derived ABR-waveform. With the ipsilateral recording projected right above the contralateral one in the visual representation, a kind of trapezoidal shape is visible in the peaks III–V combination. This greatly helps identifying that combination, specifically if the peak I–II combination is difficult or impossible to identify, see Figure 8.
Example of the simultaneous presentation of ipsi- and contralateral registration of ABR-response, showing the trapezoidal shape of the peak III–V complex.
The ABR waveforms for condensation and rarefaction stimulus polarities are not identical. This can only be made visible when responses for different stimulus polarities are recorded separately. A major problem with measuring the ABR responses for different stimulus polarities in different measurement runs is that due to the non-stationary nature of noise, these responses are measured under different interfering noise conditions. This can be avoided by measuring ABR responses with an alternating stimulus-polarity and storing the corresponding responses in separate data buffers. This allows creating subaverages for condensation and rarefaction stimuli that are acquired in similar noise conditions. When data of the different buffers are summed, the alternated average is still visible, but it can be split into two separate parts. Projecting the one superimposed on the other (with a different color for example) makes the differences between responses from condensation and rarefaction stimulus polarities visible. One obvious difference that stands out is the form of the stimulus-artifact, which is of opposite polarity. Concomitantly, if the cochlear microphonic response is detectable within the stimulus artifact, it will also show different polarity. Major differences can also occur in the morphology of III–V peak complex in cases of (steep) high-frequency cochlear hearing loss, as was explained in Section 2.4. These differences can be so large that identification of the III–V complex is ambiguous in responses obtained with alternating stimulus polarity, while identification is straightforward in the responses obtained with condensation or rarefaction polarity separately.
Additional information can also be derived by creating separate data buffers for alternating test and retest registration to again obtain subaverages acquired in similar noise conditions. Projecting test-retest subaverages on top of each other in different colors enables quick visual inspection of the stability of the acquired ABR responses, to determine if the ABR peaks robustly rise above the residual noise floor (see Figure 9). This can not only be judged subjectively, but the two subaverages also allow for quantitative calculations of various measures of similarity.
An example of the presentation of test-retest subaverages. The upper registration shows a case with low test-retest reproducibility and the lower registration shows a case with high test-retest reproducibility.
In summary, sorting the single stimulus responses into four data buffers, subaveraging and making various combined or split views of the results, yields easily available information on the stability of the results and of the differences between condensation and rarefaction responses.
Preferably five or more responses for different stimulation levels are acquired to construct an ABR pattern. As measurement time is often precious, due to the requirement of the patient remaining in a relaxed condition, it is best to aim at first acquiring ABRs at higher stimulation levels and then at levels between 25 dB above and around the response threshold. In the lower-level range, the stimulus step size should be 10 or even 5 dB, while at levels far above threshold larger step sizes of 20 or even 25 dB can be used. Each succeeding stimulation level should be chosen as time-efficiently as possible. This can be achieved by constructing the ABR pattern each time acquisition at a specific stimulus level is completed. If a succeeding acquisition with a much lower stimulus level produces no ABR response, an educated guess should be made for the next higher level to be used.
The response threshold is defined as the lowest stimulation level at which reproducible response peaks (generally peak V) can be identified. At levels up to 20 dB above threshold and 5 dB below threshold, replication measurements are advised to confirm the presence or absence of response peaks. Note that for response threshold assessment, at least one acquisition must be obtained that shows no response peaks at all, preferably at a stimulation level just below (say 5 dB below) the lowest stimulation level that shows reproducible peaks in the response. Obviously, this is not necessary if response peaks are found at levels in the normal range of the response threshold, i.e. 0–20 dB(nHL). To enable good interpretation of the results for the various stimulation levels, it is very useful to order the recordings vertically according to decreasing stimulus levels, preferably in pairs of ipsi- and contralateral responses. This way of constructing the ABR pattern enables tracking of ABR peaks from high stimulus levels down to threshold, as is demonstrated in Figure 8.
The first step in ABR pattern interpretation is peak identification. The second step in the audiological use of the ABR pattern is determining its validity, i.e. whether the ABR pattern reflects the neural integrity of the auditory nerve and brainstem. The third step is determining the response threshold level. The fourth step is analyzing the relations between latency of the peaks and stimulus level.
First, identify peaks in the ABR pattern with equal or higher latency for decreasing stimulation level. At higher stimulation levels, say above 85 dB(nHL), peak latencies may be stable, at lower stimulation levels peak latencies increase with decreasing stimulation level. Commonly this increase is larger when the stimulation level approaches the response threshold. Identification of the peak I–III–V complex is commonly easiest, and even more so with 2-channel recording with the ipsilateral averaged response positioned above the contralateral averaged response as shown in Figure 8. A trapezoidal shape should be observable in this complex, which positively identifies the III–V complex. Reproducibility of amplitude and latency of a peak at a constant stimulation level is required for reliable peak identification. As explained above, a test-retest view of the response pattern is very helpful. Easy switching between the views on the overall average and test-retest sub-averages helps to achieve greater reliability of peak identification.
Next, the peak I–II complex should be identified. Commonly the complex is better identifiable in the ipsilateral recording than in the contralateral recording. At high stimulation levels, over 85 dB(nHL), peak I prevails in amplitude and peak II is visible as a kind of shoulder on the downslope of peak I. At lower stimulation levels peak II tends to prevail in amplitude and peak I is visible as a kind of shoulder on the upslope of peak II. The transition range is between 55 and 65 dB(nHL) in normal hearing. Below 55 dB(nHL) peak I is rarely visible, but peak II can be. Mistakenly identifying peak II as peak I, yields an abnormally short time interval between this peak I and peak V. Identification of the I–II complex can be difficult or impossible in cases of significant conductive hearing loss. Then one must rely on the identification of the III–V complex for interpreting the ABR results.
Before performing audiometry based on the ABR pattern, the neural integrity of the auditory nerve, which is the source of the measured peak I and II potentials, should be assessed. This can be done by measuring the inter-peak interval, i.e. latency differences between peaks. For adults with normal auditory nerve function, the I–V latency difference should be below 4.3 ms. Larger differences are suspicious and the reliability of the audiometric interpretation of the pattern is questionable. These limits are age-dependent, and for patients below 2.6 years, this limit value is higher. For term-born neonates it is 5.4 ms and for preterm neonates it is still higher. However, it must be kept in mind that absolute latencies can be prolonged due to a conductive hearing loss. In that case, the effective stimulation level of the cochlea is lower than the stimulation level by the amount of conductive loss. For each type of ABR system the normative values of the absolute latencies may differ somewhat, depending on the design and the stimulator used. Therefore, the absolute latencies of peak III and V at a specific stimulation level should preferably be compared to their normal range for that type of equipment setup.
With high-quality ABR-registrations, identification of the response threshold level is easy. In the case of moderate quality, identification is still possible but requires more expertise and experience. Two independent experienced judges will generally disagree by not more than 5–10 dB. For audiometric interpretation, the correspondence between the ABR threshold and pure tone threshold depends on the type of stimulus used, i.e. tonal or broadband. In the latter case, when a click stimulus is used, for example, the ABR threshold is strongly correlated with the pure-tone audiometric threshold at 3 kHz [31] as further discussed in Section 4. The latter being 10 dB less in dB(HL) than the ABR threshold in dB(nHL). In cases of very steep cochlear high-frequency hearing loss, the difference becomes larger, because the pure-tone frequency of highest correlation with the ABR threshold shifts downward. One should be on guard for this pitfall if shallower shapes of the ABR peaks are observed. For tonal stimuli, the relations between ABR threshold and pure-tone threshold depend strongly on the stimulus waveform used for eliciting the ABR.
This section gives a brief overview of frequency-specific ABR techniques that are now commonly used to establish hearing thresholds in audiological assessment following the newborn hearing screening and discusses why these techniques may be considered appropriate.
Traditionally, 100 μs click stimuli are used to evoke ABR responses (Figure 10a, top left). There are a number of advantages of using this stimulus: (1) it generally results in well-formed and detailed responses, (2) it helps in determining auditory neuropathy, and (3) it generates relatively large responses and therefore responses can be obtained in a brief amount of time [32]. Various studies describe a good correlation between click-evoked ABR thresholds and behavioral thresholds in the 2–4 kHz range, e.g. [31, 32], with correlations as high as 0.94. However, other studies report issues with the use of click stimuli for threshold estimates and report a much poorer correlation [33, 34]. The click-evoked ABR may seriously over-or underestimate sensory hearing loss, depending on hearing loss configuration. Though click ABR thresholds correlate well with the 2–4 kHz region on a population level, this does not necessarily result in accurate threshold estimates for individual patients. Stapells & Oates attribute these issues to the broadband spectrum of clicks and conclude that the click-ABR threshold probably represents the “best” hearing in a wide frequency range [33].
Waveform of ABR stimuli as recorded with an interacoustics eclipse loopback test (a) 100 μs click, 4, 2, 1, 0.5 kHz Blackman window tone-burst stimuli (b) broadband LS-CE chirp, 4, 2, 1, 0.5 kHz NB-CE chirp.
Over the years, several methods for obtaining frequency-specific ABR thresholds have been explored, for example, involving ipsilateral masking of frequency regions or derived response methods with filtered clicks. Hall gives a review of these various approaches [35]. The most common clinical approach for recording frequency-specific ABRs is more straightforward and involves brief tone stimuli, or tone-bursts. A tone-burst stimulus is a transient stimulus of typically 5 tone cycles within a Blackman window (Figure 10a), or a 2 cycles rise-time-1 cycle plateau-2 cycles fall-time envelope [35]. This stimulus configuration gives an acceptable trade-off between the short stimulus onset needed to evoke an auditory response, and the bandwidth needed to obtain frequency specificity. Several studies describe high correlations (0.85–0.95) between pure tone audiometry thresholds and tone-burst ABR thresholds in adults [36, 37] and in infants [34, 38] and the authors conclude that tone-burst ABR is a clinically feasible and accurate method of estimating the pure tone audiogram when appropriate correction factors are applied.
Larger and clearer ABR responses can be evoked by using chirp stimuli, mathematically designed to compensate for frequency-dependent traveling wave delays in the cochlea and to generate synchronous stimulation across a wide frequency region. These level-specific (LS) chirp stimuli generate larger amplitude responses than clicks or tone-bursts, thus increasing the signal-to-noise ratio and reducing test time [39]. Elberling and Don derived narrow-band (LS NB-CE) chirps from these broadband chirps with approximately one-octave bandwidth (Figure 10b) [40]. These LS NB-CE chirps facilitate frequency-specific ABR.
Ferm et al. found significantly larger ABR responses with LS NB-CE Chirp stimuli compared to tone-bursts and anticipated a vast reduction in test time for achieving a similar SNR [41, 42]. They also established correction factors, compensating for the offset between ABR threshold (dB nHL) and estimated hearing level (dB eHL), as well as threshold confidence intervals for these stimuli. These correction factors are currently in use in the British Newborn Hearing Screening Program (Guidelines for the early audiological assessment and management of babies referred from the Newborn Hearing Screening Programme. British Society of Audiology, 2014).
An important feature of the auditory system is the ability to determine the location of sound sources relative to the head. Information from two ears can be used to estimate the location of a sound source in the horizontal plane using ITD and ILD. Using these binaural cues, normal hearing individuals can localize with high accuracy and precision [43]. Auditory localization allows humans to quickly detect and orient towards relevant sounds in the environment. This can be important, for example, when trying to safely navigate through traffic by bike or when walking, or when trying to focus on a single conversation in a noisy environment.
Measuring auditory localization accuracy and precision in a clinical setting requires specialized setups with a large number of speakers and, ideally, eye- or head-tracking. Although objective measures of hearing ability are often applied in the clinic, objective measures of auditory localization are not frequently used or well-known. An interesting objective measure of auditory localization can be found in the Binaural Interaction Component (BIC) of the ABR since the later peaks (IV and V) originate from binaural nuclei SOC and LL (see Section 2.2).
The amount of binaural interaction between the ears can be used as an objective measure of binaural hearing. ILDs and ITDs can be presented via headphones by introducing level and time differences between the left and right channels of a stereo sound. The BIC can be obtained by subtracting the ABR to a stereo sound from the sum of the monaural left and right ABRs [44, 45]. In normal-hearing listeners, the binaural ABR and the monaural sum are not the same, resulting in a different waveform: the BIC (see Figure 11). The most prominent peak in the BIC is the first negative peak, often called DN1 (sometimes called beta). The amplitude and latency of the DN1 systematically vary with ILD and ITD in humans and animals [46, 47, 48]. The largest amount of interaction (the largest DN1 amplitude) is typically observed at an ILD of 0 dB and/or an ITD of 0 μs.
The BIC is calculated by subtracting the binaural ABR from the sum of the monaural ABRs. Figure obtained from Laumen et al. [
The DN1 amplitude, and thus the amount of binaural interaction, gradually decreases with increasing ILD or ITD. The most likely sources of the DN1 are the MSO and LSO in the SOC [45].
Given that the BIC is a difference waveform and the fact that ABR peaks are typically of low amplitude, measuring the BIC requires a high signal-to-noise ratio in the binaural and monaural ABRs. Additionally, to obtain the DN1 amplitude for multiple ILDs requires a quite extensive testing and may be less practical in the clinic where less time may be available for measurements [48]. Some studies also report that the BIC is absent for some participants with normal localization skills (e.g. [49, 50]), making it difficult to rely on for individual diagnostic purposes in some cases. However, the BIC can be used to study the processing of binaural cues in the brainstem in various populations at a group level. For example, a study of children at risk for central auditory processing disorders (CAPD) showed that their BIC amplitude was reduced relative to normal hearing children [51]. Interestingly, the children in the CAPD group showed normal ABR thresholds, suggesting that binaural interaction can be specifically affected in certain conditions. That the presence of the BIC has some diagnostic value can be seen in the results of a study in which the presence of the BIC was used to detect children at risk for CAPD. The investigators could distinguish between children at risk for CAPD and those not at risk with a 76% sensitivity and specificity [52].
To conclude, the BIC of the ABR provides important information regarding binaural processing in the brainstem. Although some studies suggest that it may not be the best objective measure for diagnosing binaural hearing disorders at an individual level, it does provide a unique window into binaural cue interactions early in the auditory processing pathway.
Sources of the ABR are the auditory nerve and brainstem auditory nuclei. Clinical application of ABRs includes identification of the site of lesion in retrocochlear hearing loss, establishing functional integrity of the auditory nerve and objective audiometry. To help interpretation and establish reliability, separate subaverages may be obtained for ipsi- and contralateral registrations, and for test-retest reliability. Hearing threshold estimation of infants who are referred for audiological assessment after hearing screening relies on accurate estimation of hearing thresholds. Frequency-specific ABR using tone-burst or narrow band chirp stimuli is a clinically feasible method for this. Whenever possible, obtained thresholds should be confirmed with behavioral testing. The binaural interaction component of the ABR provides important information regarding binaural processing in the brainstem. Although some studies suggest that it may not be the best objective measure for diagnosing binaural hearing disorders at an individual level, it does provide a unique window into binaural cue interactions early in the auditory processing pathway.
IntechOpen - where academia and industry create content with global impact
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\\n\\nSara Uhac was appointed Managing Director of IntechOpen at the beginning of 2014. She directs and controls the company’s operations. Sara joined IntechOpen in 2010 as Head of Journal Publishing, a new strategically underdeveloped department at that time. After obtaining a Master's degree in Media Management, she completed her Ph.D. at the University of Lugano, Switzerland. She holds a BA in Financial Market Management from the Bocconi University in Milan, Italy, where she started her career in the American publishing house Condé Nast and further collaborated with the UK-based publishing company Time Out. Sara was awarded a professional degree in Publishing from Yale University (2012). She is a member of the professional branch association of "Publishers, Designers and Graphic Artists" at the Croatian Chamber of Commerce.
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\\n\\nAdrian Assad De Marco joined the company as a Director in 2017. With his extensive experience in management, acquired while working for regional and global leaders, he took over direction and control of all the company's publishing processes. Adrian holds a degree in Economy and Management from the University of Zagreb, School of Economics, Croatia. A former sportsman, he continually strives to develop his skills through professional courses and specializations such as NLP (Neuro-linguistic programming).
\\n\\nDr Alex Lazinica
\\n\\nAlex Lazinica is co-founder and Board member of IntechOpen. After obtaining a Master's degree in Mechanical Engineering, he continued his Ph.D. in Robotics at the Vienna University of Technology. There, he worked as a robotics researcher with the university's Intelligent Manufacturing Systems Group, as well as a guest researcher at various European universities, including the Swiss Federal Institute of Technology Lausanne (EPFL). During this time he published more than 20 scientific papers, gave presentations, served as a reviewer for major robotic journals and conferences and, most importantly, co-founded and built the International Journal of Advanced Robotic Systems, the world's first Open Access journal in the field of robotics. Starting this journal was a pivotal point in his career since it proved to be the pathway to the foundation of IntechOpen with its focus on addressing academic researchers’ needs. Alex personifies many of IntechOpen´s key values, including the commitment to developing mutual trust, openness, and a spirit of entrepreneurialism. Today, his focus is on defining the growth and development strategy for the company.
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\n\nBut, one thing we have in common is -- we are all scientists at heart!
\n\nSara Uhac, COO
\n\nSara Uhac was appointed Managing Director of IntechOpen at the beginning of 2014. She directs and controls the company’s operations. Sara joined IntechOpen in 2010 as Head of Journal Publishing, a new strategically underdeveloped department at that time. After obtaining a Master's degree in Media Management, she completed her Ph.D. at the University of Lugano, Switzerland. She holds a BA in Financial Market Management from the Bocconi University in Milan, Italy, where she started her career in the American publishing house Condé Nast and further collaborated with the UK-based publishing company Time Out. Sara was awarded a professional degree in Publishing from Yale University (2012). She is a member of the professional branch association of "Publishers, Designers and Graphic Artists" at the Croatian Chamber of Commerce.
\n\nAdrian Assad De Marco
\n\nAdrian Assad De Marco joined the company as a Director in 2017. With his extensive experience in management, acquired while working for regional and global leaders, he took over direction and control of all the company's publishing processes. Adrian holds a degree in Economy and Management from the University of Zagreb, School of Economics, Croatia. A former sportsman, he continually strives to develop his skills through professional courses and specializations such as NLP (Neuro-linguistic programming).
\n\nDr Alex Lazinica
\n\nAlex Lazinica is co-founder and Board member of IntechOpen. After obtaining a Master's degree in Mechanical Engineering, he continued his Ph.D. in Robotics at the Vienna University of Technology. There, he worked as a robotics researcher with the university's Intelligent Manufacturing Systems Group, as well as a guest researcher at various European universities, including the Swiss Federal Institute of Technology Lausanne (EPFL). During this time he published more than 20 scientific papers, gave presentations, served as a reviewer for major robotic journals and conferences and, most importantly, co-founded and built the International Journal of Advanced Robotic Systems, the world's first Open Access journal in the field of robotics. Starting this journal was a pivotal point in his career since it proved to be the pathway to the foundation of IntechOpen with its focus on addressing academic researchers’ needs. Alex personifies many of IntechOpen´s key values, including the commitment to developing mutual trust, openness, and a spirit of entrepreneurialism. Today, his focus is on defining the growth and development strategy for the company.
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On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. His research interests include pattern recognition, bioinformatics, and biometric systems (fingerprint classification and recognition, signature verification, face recognition).",institutionString:null,institution:null},{id:"496",title:"Dr.",name:"Carlos",middleName:null,surname:"Leon",slug:"carlos-leon",fullName:"Carlos Leon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Seville",country:{name:"Spain"}}},{id:"512",title:"Dr.",name:"Dayang",middleName:null,surname:"Jawawi",slug:"dayang-jawawi",fullName:"Dayang Jawawi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Technology Malaysia",country:{name:"Malaysia"}}},{id:"528",title:"Dr.",name:"Kresimir",middleName:null,surname:"Delac",slug:"kresimir-delac",fullName:"Kresimir Delac",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/528/images/system/528.jpg",biography:"K. 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From 1985 to 1986, he was a Research Fellow in the Research Institute for Electronic Equipment, ZZU AD, Plovdiv, Bulgaria. In 1986, he joined the Department of Control Systems, Technical University of Sofia at the Plovdiv campus, where he is presently a Full Professor. He has held long-term visiting Professor/Scholar positions at various institutions in South Korea, Turkey, Mexico, Greece, Belgium, UK, and Germany. And he has coauthored one book and authored or coauthored more than 80 research papers in conference proceedings and journals. His current research interests are in the fields of intelligent control and robotics.",institutionString:null,institution:{name:"Technical University of Sofia",country:{name:"Bulgaria"}}},{id:"585",title:"Prof.",name:"Munir",middleName:null,surname:"Merdan",slug:"munir-merdan",fullName:"Munir Merdan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/585/images/system/585.jpg",biography:"Munir Merdan received the M.Sc. degree in mechanical engineering from the Technical University of Sarajevo, Bosnia and Herzegovina, in 2001, and the Ph.D. degree in electrical engineering from the Vienna University of Technology, Vienna, Austria, in 2009.Since 2005, he has been at the Automation and Control Institute, Vienna University of Technology, where he is currently a Senior Researcher. His research interests include the application of agent technology for achieving agile control in the manufacturing environment.",institutionString:null,institution:null},{id:"605",title:"Prof",name:"Dil",middleName:null,surname:"Hussain",slug:"dil-hussain",fullName:"Dil Hussain",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/605/images/system/605.jpg",biography:"Dr. Dil Muhammad Akbar Hussain is a professor of Electronics Engineering & Computer Science at the Department of Energy Technology, Aalborg University Denmark. Professor Akbar has a Master degree in Digital Electronics from Govt. College University, Lahore Pakistan and a P-hD degree in Control Engineering from the School of Engineering and Applied Sciences, University of Sussex United Kingdom. Aalborg University has Two Satellite Campuses, one in Copenhagen (Aalborg University Copenhagen) and the other in Esbjerg (Aalborg University Esbjerg).\n· He is a member of prestigious IEEE (Institute of Electrical and Electronics Engineers), and IAENG (International Association of Engineers) organizations. \n· He is the chief Editor of the Journal of Software Engineering.\n· He is the member of the Editorial Board of International Journal of Computer Science and Software Technology (IJCSST) and International Journal of Computer Engineering and Information Technology. \n· He is also the Editor of Communication in Computer and Information Science CCIS-20 by Springer.\n· Reviewer For Many Conferences\nHe is the lead person in making collaboration agreements between Aalborg University and many universities of Pakistan, for which the MOU’s (Memorandum of Understanding) have been signed.\nProfessor Akbar is working in Academia since 1990, he started his career as a Lab demonstrator/TA at the University of Sussex. After finishing his P. hD degree in 1992, he served in the Industry as a Scientific Officer and continued his academic career as a visiting scholar for a number of educational institutions. In 1996 he joined National University of Science & Technology Pakistan (NUST) as an Associate Professor; NUST is one of the top few universities in Pakistan. In 1999 he joined an International Company Lineo Inc, Canada as Manager Compiler Group, where he headed the group for developing Compiler Tool Chain and Porting of Operating Systems for the BLACKfin processor. The processor development was a joint venture by Intel and Analog Devices. In 2002 Lineo Inc., was taken over by another company, so he joined Aalborg University Denmark as an Assistant Professor.\nProfessor Akbar has truly a multi-disciplined career and he continued his legacy and making progress in many areas of his interests both in teaching and research. 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This chapter dwells on the sources and reactivity of phenolic compounds in water, their toxic effects on humans, and methods of their removal from water. Specific emphasis is placed on the techniques of their removal from water with attention on both conventional and advanced methods. Among these methods are ozonation, adsorption, extraction, photocatalytic degradation, biological, electro‐Fenton, adsorption and ion exchange and membrane‐based separation.",book:{id:"6029",slug:"phenolic-compounds-natural-sources-importance-and-applications",title:"Phenolic Compounds",fullTitle:"Phenolic Compounds - Natural Sources, Importance and Applications"},signatures:"William W. Anku, Messai A. Mamo and Penny P. 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Fruits and vegetables can be consumed in natura, but the highest amounts are ingested after some processing methods, such as cooking procedures or sanitizing methods. These methods are directly methods are directly related to alteration on the phenolic content. In addition, the postharvest conditions may modify several phytochemical substances. Phenolic compounds are referred to as phytochemicals found in a large number of foods and beverages. The relative high diversity of these molecules produced by plants must be taken into account when methods of preparation are employed to obtain industrial or homemade products. Phenolic compounds comprise one (phenolic acids) or more (polyphenols) aromatic rings with attached hydroxyl groups in their structures. Their antioxidant capacities are related to these hydroxyl groups and phenolic rings. Despite the antioxidant activity, they have many other beneficial effects on human health. 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He completed a one-year Post-Doctoral Fellowship awarded by the DFAIT (Foreign Affairs and International Trade Canada) at the Institute of Biomedical Engineering of the University of New Brunswick (Canada) in 2010. Currently, he is Professor in the Faculty of Electrical Engineering (UFU). He has authored and co-authored more than 200 peer-reviewed publications in Biomedical Engineering. He has been a researcher of The National Council for Scientific and Technological Development (CNPq-Brazil) since 2009. He has served as an ad-hoc consultant for CNPq, CAPES (Coordination for the Improvement of Higher Education Personnel), FINEP (Brazilian Innovation Agency), and other funding bodies on several occasions. He was the Secretary of the Brazilian Society of Biomedical Engineering (SBEB) from 2015 to 2016, President of SBEB (2017-2018) and Vice-President of SBEB (2019-2020). 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His fields of interest are anterior segment disease, keratoconus, glaucoma, corneal dystrophies, and cataracts. His research topics include\nintraocular lens power calculation, eye modification induced by refractive surgery, glaucoma progression, and validation of new diagnostic devices in ophthalmology. \nHe has published more than 100 papers in international and Italian scientific journals, more than 60 in journals with impact factors, and chapters in international and Italian books. 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He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:{name:"Association for Computing Machinery",country:{name:"United States of America"}}},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:"Manufacturing and Technology Integrated Campus – SENAI CIMATEC",institution:null},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:'"Politechnica" University Timişoara',institution:null},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"426586",title:"Dr.",name:"Oladunni A.",middleName:null,surname:"Daramola",slug:"oladunni-a.-daramola",fullName:"Oladunni A. Daramola",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Federal University of Technology",country:{name:"Nigeria"}}},{id:"357014",title:"Prof.",name:"Leon",middleName:null,surname:"Bobrowski",slug:"leon-bobrowski",fullName:"Leon Bobrowski",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Bialystok University of Technology",country:{name:"Poland"}}},{id:"302698",title:"Dr.",name:"Yao",middleName:null,surname:"Shan",slug:"yao-shan",fullName:"Yao Shan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Dalian University of Technology",country:{name:"China"}}},{id:"354126",title:"Dr.",name:"Setiawan",middleName:null,surname:"Hadi",slug:"setiawan-hadi",fullName:"Setiawan Hadi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Padjadjaran University",country:{name:"Indonesia"}}},{id:"125911",title:"Prof.",name:"Jia-Ching",middleName:null,surname:"Wang",slug:"jia-ching-wang",fullName:"Jia-Ching Wang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Central University",country:{name:"Taiwan"}}},{id:"332603",title:"Prof.",name:"Kumar S.",middleName:null,surname:"Ray",slug:"kumar-s.-ray",fullName:"Kumar S. Ray",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Statistical Institute",country:{name:"India"}}},{id:"415409",title:"Prof.",name:"Maghsoud",middleName:null,surname:"Amiri",slug:"maghsoud-amiri",fullName:"Maghsoud Amiri",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Allameh Tabataba'i University",country:{name:"Iran"}}},{id:"357085",title:"Mr.",name:"P. Mohan",middleName:null,surname:"Anand",slug:"p.-mohan-anand",fullName:"P. Mohan Anand",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356696",title:"Ph.D. Student",name:"P.V.",middleName:null,surname:"Sai Charan",slug:"p.v.-sai-charan",fullName:"P.V. Sai Charan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"357086",title:"Prof.",name:"Sandeep K.",middleName:null,surname:"Shukla",slug:"sandeep-k.-shukla",fullName:"Sandeep K. Shukla",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}}]}},subseries:{item:{id:"18",type:"subseries",title:"Proteomics",keywords:"Mono- and Two-Dimensional Gel Electrophoresis (1-and 2-DE), Liquid Chromatography (LC), Mass Spectrometry/Tandem Mass Spectrometry (MS; MS/MS), Proteins",scope:"With the recognition that the human genome cannot provide answers to the etiology of a disorder, changes in the proteins expressed by a genome became a focus in research. Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. The Proteomics topic aims to attract contributions on all aspects of MS-based proteomics that, by pushing the boundaries of MS capabilities, may address biological problems that have not been resolved yet.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",hasOnlineFirst:!0,hasPublishedBooks:!0,annualVolume:11414,editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",slug:"paolo-iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",biography:"Paolo Iadarola graduated with a degree in Chemistry from the University of Pavia (Italy) in July 1972. He then worked as an Assistant Professor at the Faculty of Science of the same University until 1984. In 1985, Prof. Iadarola became Associate Professor at the Department of Biology and Biotechnologies of the University of Pavia and retired in October 2017. Since then, he has been working as an Adjunct Professor in the same Department at the University of Pavia. His research activity during the first years was primarily focused on the purification and structural characterization of enzymes from animal and plant sources. During this period, Prof. Iadarola familiarized himself with the conventional techniques used in column chromatography, spectrophotometry, manual Edman degradation, and electrophoresis). Since 1995, he has been working on: i) the determination in biological fluids (serum, urine, bronchoalveolar lavage, sputum) of proteolytic activities involved in the degradation processes of connective tissue matrix, and ii) on the identification of biological markers of lung diseases. In this context, he has developed and validated new methodologies (e.g., Capillary Electrophoresis coupled to Laser-Induced Fluorescence, CE-LIF) whose application enabled him to determine both the amounts of biochemical markers (Desmosines) in urine/serum of patients affected by Chronic Obstructive Pulmonary Disease (COPD) and the activity of proteolytic enzymes (Human Neutrophil Elastase, Cathepsin G, Pseudomonas aeruginosa elastase) in sputa of these patients. More recently, Prof. Iadarola was involved in developing techniques such as two-dimensional electrophoresis coupled to liquid chromatography/mass spectrometry (2DE-LC/MS) for the proteomic analysis of biological fluids aimed at the identification of potential biomarkers of different lung diseases. He is the author of about 150 publications (According to Scopus: H-Index: 23; Total citations: 1568- According to WOS: H-Index: 20; Total Citations: 1296) of peer-reviewed international journals. 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