Correlation between microwave and conventional heating.
\\n\\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\\n"}]',published:!0,mainMedia:{caption:"Highly Cited",originalUrl:"/media/original/117"}},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\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:"3175",leadTitle:null,fullTitle:"Signal Processing",title:"Signal Processing",subtitle:null,reviewType:"peer-reviewed",abstract:"This book intends to provide highlights of the current research in signal processing area and to offer a snapshot of the recent advances in this field. This work is mainly destined to researchers in the signal processing related areas but it is also accessible to anyone with a scientific background desiring to have an up-to-date overview of this domain. The twenty-five chapters present methodological advances and recent applications of signal processing algorithms in various domains as telecommunications, array processing, biology, cryptography, image and speech processing. The methodologies illustrated in this book, such as sparse signal recovery, are hot topics in the signal processing community at this moment. The editor would like to thank all the authors for their excellent contributions in different areas of signal processing and hopes that this book will be of valuable help to the readers.",isbn:null,printIsbn:"978-953-7619-91-6",pdfIsbn:"978-953-51-5495-2",doi:"10.5772/3472",price:159,priceEur:175,priceUsd:205,slug:"signal-processing",numberOfPages:538,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"25238b9acd5326ed3e8b349570f47c0d",bookSignature:"Sebastian Miron",publishedDate:"March 1st 2010",coverURL:"https://cdn.intechopen.com/books/images_new/3175.jpg",numberOfDownloads:62323,numberOfWosCitations:24,numberOfCrossrefCitations:15,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:42,numberOfDimensionsCitationsByBook:0,hasAltmetrics:0,numberOfTotalCitations:81,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"January 1st 2009",dateEndSecondStepPublish:"January 22nd 2009",dateEndThirdStepPublish:"April 28th 2009",dateEndFourthStepPublish:"July 27th 2009",dateEndFifthStepPublish:"August 26th 2009",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"1053",title:"Dr.",name:"Sebastian",middleName:null,surname:"Miron",slug:"sebastian-miron",fullName:"Sebastian Miron",profilePictureURL:"https://mts.intechopen.com/storage/users/1053/images/system/1053.jpg",biography:'Sebastian Miron was born the 11 March 1977 in Suceava (Romania). In 2001 he obtained his engineering degree in electronics and telecommunications from "Gh. Asachi" Technical University of Iasi. He received the M.S. degree in "Signal, Image and Speech Processing and Telecommunications" in 2002 and the Ph.D. degree in signal processing in 2005 from the Institute National Polytechnique de Grenoble (INPG).\n\nSince september 2006 Sebastian Miron holds an Associate Professor (Maître de conférences) position at Université Henri Poincaré, Nancy. He develops his research activities as a member of the System Identification and Signal Processing research group at the Centre de Recherche en Automatique de Nancy.\n\nSebstian Miron’s main research interest is multidimensional signal processing. This includes polarized signals, vector-sensor array processing, microscopy and spectroscopy signals, multilinear and hypercomplex algebra. He is teaching signal processing and mathematics at the Institut Universitaire de Technologie de Nancy-Brabois.\n\nSebastian Miron received the award for the best INPG Ph.D. thesis in his domain in 2005.',institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"1",institution:null}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"561",title:"Signal Processing",slug:"computer-science-and-engineering-signal-processing"}],chapters:[{id:"9744",title:"New Adaptive Algorithms for the Rapid Identification of Sparse Impulse Responses",doi:"10.5772/8527",slug:"new-adaptive-algorithms-for-the-rapid-identification-of-sparse-impulse-responses",totalDownloads:2383,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Mariane R. Petraglia",downloadPdfUrl:"/chapter/pdf-download/9744",previewPdfUrl:"/chapter/pdf-preview/9744",authors:[{id:"1553",title:"Prof.",name:"Mariane",surname:"Petraglia",slug:"mariane-petraglia",fullName:"Mariane Petraglia"}],corrections:null},{id:"9740",title:"Vector Sensor Array Processing for Polarized Sources Using a Quadrilinear Representation of the Data Covariance",doi:"10.5772/8523",slug:"vector-sensor-array-processing-for-polarized-sources-using-a-quadrilinear-representation-of-the-data",totalDownloads:2708,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:null,signatures:"Sebastian Miron, Xijing Guo, and David Brie",downloadPdfUrl:"/chapter/pdf-download/9740",previewPdfUrl:"/chapter/pdf-preview/9740",authors:[{id:"1053",title:"Dr.",name:"Sebastian",surname:"Miron",slug:"sebastian-miron",fullName:"Sebastian Miron"},{id:"122901",title:"PhD.",name:"Xijing",surname:"Guo",slug:"xijing-guo",fullName:"Xijing Guo"},{id:"122902",title:"Prof.",name:"David",surname:"Brie",slug:"david-brie",fullName:"David Brie"}],corrections:null},{id:"9746",title:"New Trends in Biologically-Inspired Audio Coding",doi:"10.5772/8529",slug:"new-trends-in-biologically-inspired-audio-coding",totalDownloads:2431,totalCrossrefCites:3,totalDimensionsCites:3,hasAltmetrics:0,abstract:'This book chapter deals with the generation of auditory-inspired spectro-temporal features aimed at audio coding. To do so, we first generate sparse audio representations we call spikegrams, using projections on gammatone or gammachirp kernels that generate neural spikes. Unlike Fourier-based representations, these representations are powerful at identifying auditory events, such as onsets, offsets, transients and harmonic structures. We show that the introduction of adaptiveness in the selection of gammachirp kernels enhances the compression rate compared to the case where the kernels are non-adaptive. We also integrate a masking model that helps reduce bitrate without loss of perceptible audio quality. We then quantize coding values using the genetic algorithm that is more optimal than uniform quantization for this framework. We finally propose a method to extract frequent auditory objects (patterns) in the aforementioned sparse representations. The extracted frequency-domain patterns (auditory objects) help us address spikes (auditory events) collectively rather than individually. When audio compression is needed, the different patterns are stored in a small codebook that can be used to efficiently encode audio materials in a lossless way. The approach is applied to different audio signals and results are discussed and compared. This work is a first step towards the design of a high-quality auditory-inspired \\\\\\"object-based\\\\\\" audio coder.',signatures:"Ramin Pichevar, Hossein Najaf-Zadeh, Louis Thibault and Hassan Lahdili",downloadPdfUrl:"/chapter/pdf-download/9746",previewPdfUrl:"/chapter/pdf-preview/9746",authors:[{id:"1052",title:"Dr.",name:"Ramin",surname:"Pichevar",slug:"ramin-pichevar",fullName:"Ramin Pichevar"},{id:"122908",title:"Prof.",name:"Hossein",surname:"Najaf-Zadeh",slug:"hossein-najaf-zadeh",fullName:"Hossein Najaf-Zadeh"},{id:"122910",title:"Prof.",name:"Louis",surname:"Thibault",slug:"louis-thibault",fullName:"Louis Thibault"},{id:"122911",title:"Prof.",name:"Hassan",surname:"Lahdili",slug:"hassan-lahdili",fullName:"Hassan Lahdili"}],corrections:null},{id:"9736",title:"Constructing Wavelet Frames and Orthogonal Wavelet Bases on the Sphere",doi:"10.5772/8519",slug:"constructing-wavelet-frames-and-orthogonal-wavelet-bases-on-the-sphere",totalDownloads:2194,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:1,abstract:null,signatures:"Daniela Rosca and Jean-Pierre Antoine",downloadPdfUrl:"/chapter/pdf-download/9736",previewPdfUrl:"/chapter/pdf-preview/9736",authors:[{id:"1522",title:"Prof.",name:"Jean-Pierre",surname:"Antoine",slug:"jean-pierre-antoine",fullName:"Jean-Pierre Antoine"},{id:"1525",title:"Dr.",name:"Daniela",surname:"Rosca",slug:"daniela-rosca",fullName:"Daniela Rosca"}],corrections:null},{id:"9747",title:"MIMO Channel Modelling",doi:"10.5772/8530",slug:"mimo-channel-modelling",totalDownloads:8180,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:null,signatures:"Faisal Darbari, Robert W. Stewart and Ian A. Glover",downloadPdfUrl:"/chapter/pdf-download/9747",previewPdfUrl:"/chapter/pdf-preview/9747",authors:[{id:"1292",title:"Dr.",name:"Fasial",surname:"Darbari",slug:"fasial-darbari",fullName:"Fasial Darbari"},{id:"122916",title:"Prof.",name:"Robert",surname:"Stewart",slug:"robert-stewart",fullName:"Robert Stewart"},{id:"122918",title:"Prof.",name:"Ian",surname:"Glover",slug:"ian-glover",fullName:"Ian Glover"}],corrections:null},{id:"9756",title:"Finite-Context Models for DNA Coding",doi:"10.5772/8539",slug:"finite-context-models-for-dna-coding",totalDownloads:2146,totalCrossrefCites:0,totalDimensionsCites:7,hasAltmetrics:0,abstract:null,signatures:"Armando J. Pinho, Antonio J. R. Neves, Daniel A. Martins, Carlos A. C. Bastos and Paulo J. S. G. Ferreira",downloadPdfUrl:"/chapter/pdf-download/9756",previewPdfUrl:"/chapter/pdf-preview/9756",authors:[{id:"1126",title:"Prof.",name:"Armando",surname:"Pinho",slug:"armando-pinho",fullName:"Armando Pinho"},{id:"1177",title:"Prof.",name:"António",surname:"José Ribeiro Neves",slug:"antonio-jose-ribeiro-neves",fullName:"António José Ribeiro Neves"},{id:"34618",title:"Prof.",name:"José",surname:"Fonte Ferreira",slug:"jose-fonte-ferreira",fullName:"José Fonte Ferreira"},{id:"74006",title:"Dr.",name:"Carlos",surname:"Bastos",slug:"carlos-bastos",fullName:"Carlos Bastos"},{id:"122930",title:"Prof.",name:"Daniel",surname:"Martins",slug:"daniel-martins",fullName:"Daniel Martins"}],corrections:null},{id:"9748",title:"Space-Filling Curves in Generating Equidistrubuted Sequences and Their Properties in Sampling of Images",doi:"10.5772/8531",slug:"space-filling-curves-in-generating-equidistrubuted-sequences-and-their-properties-in-sampling-of-ima",totalDownloads:1897,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Ewa Skubalska-Rafajlowicz and Ewaryst Rafajlowicz",downloadPdfUrl:"/chapter/pdf-download/9748",previewPdfUrl:"/chapter/pdf-preview/9748",authors:[{id:"1207",title:"Professor",name:"Ewaryst",surname:"Rafajlowicz",slug:"ewaryst-rafajlowicz",fullName:"Ewaryst Rafajlowicz"},{id:"122919",title:"Dr.",name:"Ewa",surname:"Skubalska-Rafajlowicz",slug:"ewa-skubalska-rafajlowicz",fullName:"Ewa Skubalska-Rafajlowicz"}],corrections:null},{id:"9752",title:"Sparse Signal Decomposition for Periodic Signal Mixtures",doi:"10.5772/8535",slug:"sparse-signal-decomposition-for-periodic-signal-mixtures",totalDownloads:2632,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:null,signatures:"Makoto Nakashizuka",downloadPdfUrl:"/chapter/pdf-download/9752",previewPdfUrl:"/chapter/pdf-preview/9752",authors:[{id:"1323",title:"Dr.",name:"Makoto",surname:"Nakashizuka",slug:"makoto-nakashizuka",fullName:"Makoto Nakashizuka"}],corrections:null},{id:"9750",title:"Wavelet-based Techniques in MRS",doi:"10.5772/8533",slug:"wavelet-based-techniques-in-mrs",totalDownloads:1967,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:null,signatures:"A. Suvichakorna, H. Ratiney, S. Cavassila and J.-P Antoine",downloadPdfUrl:"/chapter/pdf-download/9750",previewPdfUrl:"/chapter/pdf-preview/9750",authors:[{id:"126650",title:"Dr.",name:"Hélène",surname:"Ratiney",slug:"helene-ratiney",fullName:"Hélène Ratiney"},{id:"126651",title:"Dr.",name:"Sophie",surname:"Cavassila",slug:"sophie-cavassila",fullName:"Sophie Cavassila"}],corrections:null},{id:"9739",title:"Recent Fingerprinting Techniques with Cryptographic Protocol",doi:"10.5772/8522",slug:"recent-fingerprinting-techniques-with-cryptographic-protocol",totalDownloads:2310,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:null,signatures:"Minoru Kuribayashi",downloadPdfUrl:"/chapter/pdf-download/9739",previewPdfUrl:"/chapter/pdf-preview/9739",authors:[{id:"1385",title:"Prof.",name:"Minoru",surname:"Kuribayashi",slug:"minoru-kuribayashi",fullName:"Minoru Kuribayashi"}],corrections:null},{id:"9743",title:"Semiparametric Curve Alignment and Shift Density Estimation: ECG Data Processing Revisited",doi:"10.5772/8526",slug:"semiparametric-curve-alignment-and-shift-density-estimation-ecg-data-processing-revisited",totalDownloads:1949,totalCrossrefCites:1,totalDimensionsCites:3,hasAltmetrics:0,abstract:"We address in this contribution a problem stemming from functional data analysis. Assuming that we dispose of a large number of shifted recorded curves with identical shape, the objective is to estimate the time shifts as well as their distribution. Such an objective appears in several biological applications, for example in ECG signal processing. We are interested in the estimation of the distribution of elapsed durations between repetitive pulses, but wish to estimate it with a possibly low signal-to-noise ratio, or without any knowledge of the pulse shape. This problem is solved within a semiparametric framework, that is without any knowledge of the shape. We suggest an M-estimator leading to two different algorithms whose main steps are as follows: we split our dataset in blocks, on which the estimation of the shifts is done by minimizing a cost criterion, based on a functional of the periodogram. The estimated shifts are then plugged into a standard density estimator. Some theoretical insights are presented, which show that under mild assumptions the alignment can be done efficiently. Results are presented on simulations, as well as on real data for the alignment of ECG signals, and these algorithms are compared to the methods used by practitioners in this framework. It is shown in the results that the presented method outperforms the standard ones, thus leading to a more accurate estimation of the average heart pulse and of the distribution of elapsed times between heart pulses, even in the case of low Signal-to- Noise Ratio (SNR).",signatures:"T. Trigano, U. Isserles, T. Montagu and Y. Ritov",downloadPdfUrl:"/chapter/pdf-download/9743",previewPdfUrl:"/chapter/pdf-preview/9743",authors:[{id:"6298",title:"Mr.",name:"Thierry",surname:"Montagu",slug:"thierry-montagu",fullName:"Thierry Montagu"},{id:"126645",title:"PhD.",name:"Thomas",surname:"Trigano",slug:"thomas-trigano",fullName:"Thomas Trigano"},{id:"126646",title:"Dr.",name:"Uri",surname:"Isserles",slug:"uri-isserles",fullName:"Uri Isserles"},{id:"126648",title:"Dr.",name:"Yaacov",surname:"Ritov",slug:"yaacov-ritov",fullName:"Yaacov Ritov"}],corrections:null},{id:"9760",title:"Spatial Prediction in the H.264/AVC FRExt Coder and its Optimization",doi:"10.5772/8543",slug:"spatial-prediction-in-the-h-264-avc-frext-coder-and-its-optimization",totalDownloads:2043,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Simone Milani",downloadPdfUrl:"/chapter/pdf-download/9760",previewPdfUrl:"/chapter/pdf-preview/9760",authors:[{id:"1552",title:"DR.",name:"Simone",surname:"Milani",slug:"simone-milani",fullName:"Simone Milani"}],corrections:null},{id:"9742",title:"Detection of Signals in Nonstationary Noise via Kalman Filter-Based Stationarization Approach",doi:"10.5772/8525",slug:"detection-of-signals-in-nonstationary-noise-via-kalman-filter-based-stationarization-approach",totalDownloads:3260,totalCrossrefCites:1,totalDimensionsCites:1,hasAltmetrics:0,abstract:null,signatures:"Hiroshi Ijima and Akira Ohsumi",downloadPdfUrl:"/chapter/pdf-download/9742",previewPdfUrl:"/chapter/pdf-preview/9742",authors:[{id:"1738",title:"Dr.",name:"Hiroshi",surname:"Ijima",slug:"hiroshi-ijima",fullName:"Hiroshi Ijima"},{id:"122906",title:"Prof.",name:"Akira",surname:"Ohsumi",slug:"akira-ohsumi",fullName:"Akira Ohsumi"}],corrections:null},{id:"9758",title:"Direct Design of Infinite Impulse Response Filters Based on Allpole Filters",doi:"10.5772/8541",slug:"direct-design-of-infinite-impulse-response-filters-based-on-allpole-filters",totalDownloads:2812,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Alfonso Fernandez-Vazquez and Gordana Jovanovic Dolecek",downloadPdfUrl:"/chapter/pdf-download/9758",previewPdfUrl:"/chapter/pdf-preview/9758",authors:[{id:"1367",title:"Dr.",name:"Alfonso",surname:"Fernandez-Vazquez",slug:"alfonso-fernandez-vazquez",fullName:"Alfonso Fernandez-Vazquez"},{id:"148249",title:"Prof.",name:"Gordana",surname:"Jovanovic Dolecek",slug:"gordana-jovanovic-dolecek",fullName:"Gordana Jovanovic Dolecek"}],corrections:null},{id:"9757",title:"Robust Unsupervised Speaker Segmentation for Audio Diarization",doi:"10.5772/8540",slug:"robust-unsupervised-speaker-segmentation-for-audio-diarization",totalDownloads:2108,totalCrossrefCites:1,totalDimensionsCites:2,hasAltmetrics:0,abstract:null,signatures:"Hachem Kadri, Manuel Davy and Noureddine Ellouze",downloadPdfUrl:"/chapter/pdf-download/9757",previewPdfUrl:"/chapter/pdf-preview/9757",authors:[{id:"1562",title:"Mr.",name:"Hachem",surname:"Kadri",slug:"hachem-kadri",fullName:"Hachem Kadri"},{id:"122932",title:"Dr.",name:"Manuel",surname:"Davy",slug:"manuel-davy",fullName:"Manuel Davy"},{id:"122933",title:"Prof.",name:"Noureddine",surname:"Ellouze",slug:"noureddine-ellouze",fullName:"Noureddine Ellouze"}],corrections:null},{id:"9759",title:"New Directions in Lattice Based Lossy Compression",doi:"10.5772/8542",slug:"new-directions-in-lattice-based-lossy-compression",totalDownloads:2164,totalCrossrefCites:1,totalDimensionsCites:2,hasAltmetrics:0,abstract:null,signatures:"Adriana Vasilache",downloadPdfUrl:"/chapter/pdf-download/9759",previewPdfUrl:"/chapter/pdf-preview/9759",authors:[{id:"1609",title:"Dr.",name:"Adriana",surname:"Vasilache",slug:"adriana-vasilache",fullName:"Adriana Vasilache"}],corrections:null},{id:"9754",title:"Segmented Online Neural Filtering System Based On Independent Components Of Pre-Processed Information",doi:"10.5772/8537",slug:"segmented-online-neural-filtering-system-based-on-independent-components-of-pre-processed-informatio",totalDownloads:1677,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Rodrigo Torres, Eduardo Simas Filho, Danilo de Lima and Jose de Seixas",downloadPdfUrl:"/chapter/pdf-download/9754",previewPdfUrl:"/chapter/pdf-preview/9754",authors:[{id:"1307",title:"M.Sc",name:"Eduardo",surname:"Simas Filho",slug:"eduardo-simas-filho",fullName:"Eduardo Simas Filho"},{id:"1623",title:"M.Sc.",name:"Rodrigo",surname:"Coura Torres",slug:"rodrigo-coura-torres",fullName:"Rodrigo Coura Torres"},{id:"16962",title:"Dr.",name:"José M.",surname:"De Seixas",slug:"jose-m.-de-seixas",fullName:"José M. 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Two major systems play a key role in the pathophysiology of NDs, i.e., the canonical Wnt/beta-catenin pathway and PPAR gamma. Several studies have demonstrated the opposite interaction between the canonical Wnt/beta-catenin pathway and the PPAR gamma [1–7]. It has recently been shown that certain NDs can be divided into two classes [8]: on one hand, NDs in which the Wnt/beta-catenin pathway is upregulated whereas PPAR gamma is downregulated. Among these NDs, we find amyotrophic lateral sclerosis (ALS), Parkinson’s disease, Huntington’s disease and Friedreich’s ataxia. PPAR agonists exert protective effects in ALS neurons of transgenic mice and may represent therapeutic targets in human ALS. On the other hand, NDs in which the Wnt-beta-catenin pathway is downregulated while PPAR gamma is upregulated. Among these NDs, we find Alzheimer’s disease, bipolar disorder and schizophrenia. This list is not exhaustive.
\nALS is one of the most common adult-onset debilitating NDs with the prevalence of about 5 per 100,000 individuals. The pathophysiology of ALS in humans is particularly complex, due to the numerous interconnected pathological processes and, today, has not been fully elucidated. However, it remains to determine those really responsible for the disease from those simply involved in its development. ALS has been first described by J.M. Charcot in 1869. ALS is a fatal neurodegenerative disorder and is characterized by chronic progressive degeneration of upper and lower motor neurons, resulting in muscular atrophy, paralysis and ultimately death. And, 82% of ALS are sporadic. The most frequent mutations in inherited or familial ALS (FALS) are found in the gene for Cu, Zn superoxide dismutase (SOD1). Among numerous abnormalities, this FALS presents glutamate toxicity, axonal transport defects, aberrant neurotrophic factors, mitochondrial dysfunction [9]. Numerous in vivo studies have used transgenic mice expressing FALS mutants of human SOD1 [10]. This transgenic model develops a progressive motor neuron pathology which is reminiscent of the human ALS phenotype [11]. The human sporadic ALS differs little clinically from SOD1-related FALS. Both forms of ALS induce degeneration of motor neurons which leads to paralysis and death within 3–5 years from the appearance of the first symptoms. Today, no pharmacological therapeutic can really stop the progression of the disease. Although riluzole is approved for ALS patients, the benefits of this drug are marginal [12–15].
\nWnt signaling plays a key role in carcinogenesis, embryonic development, cell fate, cell migration and NDs [16, 17]. A hallmark of the canonical Wnt pathway activation by Wnt ligands is the increase in the cytoplasmic beta-catenin protein level, the subsequent nuclear translocation and further activation of beta-catenin specific gene transcription [4, 18–20]. In the absence of Wnt ligands, beta-catenin is recruited into a destruction complex that contains adenomatous polyposis coli (APC) and Axin, which facilitate the phosphorylation of beta-catenin by glycogen synthase kinase-3beta (GSK-3beta). GSK-3beta phosphorylates the N-terminal domain of beta-catenin, thereby targeting it for ubiquitination and proteasomal degradation. In the presence of a Wnt ligand, the binding of Wnt to Frizzled (Fzd) leads to activation of the phosphoprotein Dishevelled (Dsh). Dsh recruits Axin and the destruction complex to the plasma membrane, where Axin directly binds to the cytoplasmic tail of the low-density lipoprotein-receptor-related proteins (LRP5-6). The activation of Dsh also leads to the inhibition of GSK-3beta by phosphorylation, which further reduces the phosphorylation and degradation of beta-catenin. The beta-catenin degradation complex is inactivated with recruitment of Axin to the plasma membrane, thus stabilizing the non-phosphorylated beta-catenin which translocates to the nucleus. Beta-catenin binds to T cell/lymphoid-enhancing binding (Tcf/Lef) transcription factors. The resulting complex becomes active by displacing Grouchos, leading to activation of numerous target genes including c-myc, cyclin D1, TIFF-1, Axin-2, CD44, Cox2, MMP-7, PPAR beta/delta, [21–23]. Upregulation of the canonical Wnt/beta-catenin pathway is observed in metabolic diseases such as type 2 diabetes, hypertension, in cancers (colon, lung, breast, leukemias) and certain NDs. Downregulation is observed in osteoporosis, cardiac hypoxia, cardiac hypertrophy, arrhythmogenic right ventricular dysplasia/cardiomyopathy (ARVC) and certain NDs [8].
\nPeroxisome proliferator-activated receptor gamma (PPAR gamma) is a ligand-activated transcriptional factor that belongs to the nuclear hormone receptor superfamily. PPAR gamma regulates the expression or activity of a large number of genes in a variety of signaling pathways, including regulation of insulin sensitivity, glucose homeostasis, lipid metabolism, immune responses, inflammation, redox balance, cardiovascular integrity and cell fate [24, 25]. PPAR gamma is expressed in various cell types, such as adipose tissues, immune cells and brain cells including microglia and astrocytes which contribute to anti-inflammatory response in the central nervous system. During the past decade, the role of PPAR gamma in neurodegeneration has been established. The administration of PPAR gamma ligands has been shown to be beneficial in many NDs such as ALS, Alzheimer\'s disease, Parkinson\'s disease, multiple sclerosis, Huntington\'s disease and stroke [26]. PPAR gamma has been shown to have anti-inflammatory and neuroprotective effects [27, 28]. Astrocytic GLT1/EAAT2 gene is a target of PPAR gamma, leading to neuroprotection by increasing the glutamate uptake [29]. PPAR gamma is a direct transcriptional modulator of the pyruvate carboxylase gene [30]. Given the fact that ALS patients suffer from massive weight loss, this provides a possible explanation for the potential protective effects of pioglitazone through increased lipogenesis.
\nThe thiazolidinedione PPAR gamma agonists (TZDs), troglitazone, rosiglitazone and pioglitazone, and a non-thiazolidinedione PPAR gamma activator, GW1929, inhibit the beta-catenin-induced transcription in a PPAR gamma-dependent fashion [1–3, 5]. Troglitazone-mediated activation of PPAR gamma is associated with an inhibition of beta-catenin at a post-transcriptional level. The functional interaction between beta-catenin and PPAR gamma involves the Tcf/Lef factor-binding domain of beta-catenin and a catenin-binding domain within PPAR gamma [5]. Treatment with PPAR gamma agonists decreases mRNA and protein levels of beta-catenin in 3T3L1 adipocytes [1]. TZDs induce a reduction in the levels of cytoplasmic beta-catenin in hepatocytes [3]. PPAR gamma suppresses Wnt/beta-catenin pathway during adipogenesis [2].
\nInhibition of Wnt/beta-catenin pathway leads to an increase in transcription of PPAR gamma. Activation of the Wnt/beta-catenin signaling leads to osteogenesis, but not to adipogenesis. The canonical Wnt/beta-catenin-PPAR gamma system regulates the molecular switching of osteablastogenesis versus adipogenesis [6]. Wnt signaling maintains preadipocytes in an undifferentiated state through inhibition of both adipogenic transcription factors C/EBP alpha and PPAR gamma. Deactivation of Wnt/beta catenin pathway and activation of PPAR gamma are observed in ARVD [4, 31]. Taken together, these studies suggest that the canonical Wnt/beta-catenin signaling downregulates PPAR gamma expression, inhibition of Wnt/beta-catenin signaling upregulates PPAR gamma expression and PPAR gamma agonists inhibit the canonical Wnt/beta-catenin pathway.
\nThe canonical Wnt/beta-catenin signaling is involved in numerous NDs, particularly in ALS. Several studies have shown that this pathway is upregulated in motor neurons of ASL model mice [32–35]. In the spinal cord of SOD1(G93A) ALS transgenic mice, expression of Wnt2, Wnt7a and GSK-3beta has been determined [32]. Both Wnt2, Wnt7a mRNA and protein in the spinal cord of ALS mice have been found to be upregulated when compared with wild type. The immune-reactivity of Wnt2 and Wnt7a is strong in ALS adult transgenic mice, whereas it is weak in wild-type mice. Neurodegeneration upregulates the expression of Wnt2 and Wnt7a in the spinal cord of ALS mice, which in turn activates Wnt signaling and inhibits GSK-3beta activity in ALS adult transgenic mice. Expression of Wnt3a, beta-catenin and Cyclin D1, three key molecules of the Wnt/beta-catenin signaling, have been determined in the adult spinal cord of SOD1(G93A) ALS transgenic mice at different stages [33]. It has been found that mRNA and protein of Wnt3a and Cyclin D1 in the spinal cord of the ALS mice are upregulated compared with wild-type mice. Moreover, beta-catenin translocates from the cell membrane to the nucleus and subsequently activated transcription of the target gene Cyclin D1. Wnt3a, beta-catenin and Cyclin D1 are also expressed in both neurons and astrocytes. For the authors, these findings suggest that neurodegeneration activates the Wnt/beta-catenin pathway, in the spinal cord of adult ALS transgenic mice. Changes in Wnt5a and Fzd2 expression in the spinal cord of SOD1(G93A) transgenic mice (ALS), SOD1(G93A) transfected NSC-34 cells and primary cultures of astrocytes from SOD1(G93A) transgenic mice have been observed [35]. Expression of Wnt1 and Fzd1 has been found to be increased in the spinal cords of SOD1G93A ALS transgenic mice [34]. In the in vitro model of ALS (G93A mutated forms of human Cu/Zn superoxide dismutase-1; SOD1), a cytosolic aggregation of beta-catenin has been observed. This suggests that Wnt/beta-catenin pathway could play critical role in the neurodegeneration of motor neurons in ALS [36]. Beta-catenin is activated in a subset of myofibers in extraocular muscles and limb muscles in ALS subjects [37].
\nToday, no really efficient treatment exists for ALS [38, 39]. However, riluzole has been approved for the treatment of ALS in most countries and is tested in people based on results supporting a role of glutamate toxicity in ALS. Riluzole has numerous pharmacodynamics properties, i.e., presynaptic inhibition of the glutamate release, inhibition of G-protein-dependent processes, modulation of N-methyl-D-aspartate ionotropic receptor and blockade of the voltage-gated sodium channel, etc. [39]. Two trials [12, 13] have demonstrated the weak efficacy of riluzole in ALS with prolongation of median survival by 2 to 3 months and safety of riluzole. Thus, riluzole appears to slow the progression of ALS, and may improve survival in patients with disease of bulbar onset [12]. Riluzole is well tolerated and lengthens survival of patients with ALS [13]. Two other studies have led to almost the same conclusions [14, 15]. The FDA-approved drug, riluzole, 100 mg daily is reasonably safe and probably prolongs median survival by about 2 to 3 months in patients with ALS.
\nImportantly, riluzole has been found to be an enhancer of the Wnt/beta-catenin signaling in melanoma [40]. For the authors, treating melanoma cells with riluzole in vitro enhances the ability of WNT3A to regulate gene expression, promote pigmentation and decrease cell proliferation. Like WNT3A, riluzole decreases metastases in a mouse melanoma model. Moreover, riluzole enhances Wnt/beta-catenin signaling in the primary screen both in HT22 neuronal cells and in adult hippocampal progenitor cells [40]. As the Wnt/beta-catenin pathway is upregulated, at least in genetic ALS mice [32–35], this can partly explain poor results in trials testing riluzole in ALS as shown previously [12–15]. Lithium, an activator of the Wnt/beta catenin signaling, has also been evaluated as a treatment for ALS [41]. Surprisingly, in ALS patients treated with lithium, the disease progression has been shown to be markedly attenuated. In the genetic ALS G93A mouse model, there is a marked neuroprotection induced by lithium, which delayed disease onset and duration and augmented the life span. The use of the enhancer Wnt/beta-catenin lithium can be discussed in ALS in which the Wnt/beta-catenin pathway has been shown to be upregulated in several animal studies [32–35]. GSK-3beta-inhibitor lithium chloride enhances activation of the canonical Wnt signaling [42–44]. Lithium activates downstream components of the Wnt signaling pathway in vivo, leading to an increase of the beta-catenin protein. This pathway is implicated in the pathophysiology and treatment of bipolar disorder [45, 46]. Riluzole reduces symptoms of obsessive-compulsive disorder, unipolar and bipolar depression and generalized anxiety disorder [47]. This is not surprising due to the fact that the Wnt/beta-catenin pathway is downregulated in bipolar syndrome [8] and that like lithium, riluzole is an enhancer of Wnt/beta-catenin signaling.
\nIn ALS, expression of PPAR gamma (mARN and protein) has not been precisely investigated in neurons. However, the upregulation of Wnt/beta-catenin signaling observed in ALS suggests that PPAR gamma might be downregulated due to the fact that these two systems generally operate in the opposite way [1–3, 5]. Neuroinflammation is a common pathological feature in NDs, particularly in ALS. PPAR gamma may be a key regulator of neuroinflammation. PPAR gamma inhibits NF-kappaB-mediated inflammatory signaling at multiple sites [48]. PPAR gamma might be a relevant regulator of neuroinflammation and possibly a new target for the development of therapeutic strategies for ALS. A potentially therapeutic pathway in ALS may be the activation by PPAR gamma agonists due to their ability to block neuropathological damages caused by inflammation [49]. The neuroprotective effect of pioglitazone has been demonstrated in G93A SOD1 transgenic mouse model of ALS and shows a significant increase in their survival. Pioglitazone protects motor neurons against p38-mediated neuronal death and NF-kappaB-mediated glial inflammation via a PPAR gamma-independent mechanism [50]. In ALS, PPAR gamma controls natural protective mechanisms against lipid peroxidation [51]. PPAR gamma-driven transcription selectively increases in the spinal cord of hSOD1G93A mice. This is correlated with the upregulation of lipid detoxification enzymes such as the lipoprotein lipase and glutathione S-transferase alpha-2, implied in scavenging lipid peroxidation by-products. Anticipation of protective reactions by pharmacological PPAR gamma modulation of the transcriptional activity attenuates neurodegeneration induced by lipid peroxidation. PPAR gamma activation is neuroprotective in a Drosophila model of ALS [52]. This Drosophila model of ALS based on TDP-43 recapitulates several aspects of ALS pathophysiology. Pioglitazone rescues TDP-43-dependent locomotor dysfunction in motor neurons and glia. PPAR gamma activation in neurons and glia is partially neuroprotective and restores metabolic alterations in ALS. Superoxide dismutase (SOD1)-G93A transgenic mice benefit from oral treatment with the PPAR gamma agonist pioglitazone [53]. Pioglitazone-treated transgenic mice reveal improved muscle strength and body weight, exhibit a delayed disease onset and survive significantly longer than non-treated SOD1-G93A mice. Pioglitazone-induced neuroprotection of motor neurons of the spinal cord is complete at day 90. There is also preservation of the median fiber diameter of the quadriceps muscle, indicating a morphological and functional protection of motor neurons induced by pioglitazone. However, in a phase II double-blind controlled clinical trial, the PPAR gamma agonist pioglitazone in combination with riluzole does not increase survival in ALS patients [54].
\nPPAR gamma coactivator-1alpha (PGC-1alpha) is a transcriptional coactivator that works together with the transcription factor PPAR gamma in the regulation of mitochondrial biogenesis. PGC-1alpha plays a role in several neurodegenerative pathologies [26]. PGC-1alpha protects neurons and alters disease progression in a PGC-1alpha transgenic mice crossed with SOD1 mutant G93A DL mice [55]. In these mice, the progression of the disease has been shown to be significantly slower. There is also a markedly improved performance on the rotarod test associated with an improved motor activity with a decreased loss of motor neurons and less degeneration of neuromuscular junctions. By using a double transgenic mouse model where PGC-1alpha is over-expressed in a SOD1 transgenic mouse (TgSOD1-G93A/PGC-1alpha), it has been found that motor function and survival are improved [56]. This is accompanied by a reduction of motor neuron loss, a restoration of mitochondrial electron transport chain activities and an inhibition of stress signaling in the spinal cord. Thus, in the double-transgenic mice, there are improved motor performance, slowed ALS progression, decreased weight loss, and reduced motor neuronal death. Survival and disease improvement are greater in higher-expressing PGC-1alpha mice. Therefore, PPAR gamma is a possible target for ALS as it functions as a transcription factor that interacts with PGC-1alpha. Elevated PGC-1alpha activity sustains mitochondrial biogenesis and muscle function without extending survival in a mouse model of inherited ALS [57]. Increasing PGC-1alpha activity in muscles represents an attractive therapy for maintaining muscle function during the progression of ALS.
\nPPAR agonists represent promising therapeutics for NDs such as multiple sclerosis, ALS and Alzheimer’s disease (AD). Their activation affects many pathological mechanisms. PPAR activation can weaken or reprogram the immune response, stimulate metabolism, improve mitochondrial function, promote axon growth and induce progenitor cells to differentiate into myelinating oligodendrocytes [58]. The mechanisms of action of PPAR agonists are various and may be useful at many stages of diseases. Type, timing and dose of PPAR agonists may vary depending on injury severity, progression of disease or cellular targets such as neurons, microglia, oligodendrocytes, and may explain a number of conflicting results in several studies. PPAR gamma may be useful due to its anti-inflammatory properties. Moreover, PPAR gamma agonists induce beta-catenin inhibition [3, 5], which represents a rationale to use it when the Wnt/beta-catenin pathway is upregulated such as in Parkinson’s disease, multiple sclerosis, ALS, Huntington\'s disease and Friedreich\'s ataxia [8]. However, in AD, PPAR gamma levels (mRNA and protein) have been found to be elevated in brain tissues [59, 60]. Although PPAR gamma expression is high in AD, PPAR gamma agonists have been used in AD humans and various AD animal models and have been shown to induce beneficial effects, partly due to their anti-inflammatory effects [61–67]. Even if the PPAR gamma agonist pioglitazone, in combination with riluzole, does not increase survival in ALS patients [54], PPAR gamma represents a useful therapeutic target in several animal models. Inhibition of the Wnt/beta-catenin pathway might also represent a therapeutic approach in ALS animal model.
\nWe thank Dr Michel Grivaux, Director of the Clinical Research Center, Meaux Hospital, and Mr Vincent Gobert, Administrative Manager of the Clinical Research Center, Meaux hospital, France.
\nA real circular economy may be realized if products at the end of their life cycle are reutilized or transformed into raw materials giving them the possibility for another life. The energy balance among the content of the new products and that one required by the transformation must be positive; that is, the process must require less energy of those present in the products; otherwise, the process will have a deleterious effect on the environment. More positive is the balance less will be the contamination. This goal is one of the main challenges in which scientists are involved to solve the problems concerning both global warming and the end of mineral resources. These recycled sources also represent a strong driving force for developing sustainable industrial processes. Many industrial firms are now involved in environmental issues, and they are, even in a different way, engaged in solving this problem [1].
The world plastic production in 2019 was 368.0 x 106 tons with an increase of 2.5% concerning for 2018 [2] while in the same year, the European production was 57.9 x 106 tons between thermoplastic and thermosetting polymers. Among them, polyolefins are the most produced and employed material in everyday life for industrial, domestic, and technological applications [3]. They are thermoplastic polymers and are mainly used for packaging; their life cycle is very short, which means they must be disposed of in a short time after their production. A less important amount of them is employed to realize furniture, insulating materials, automotive parts, and so on, and their life cycle is considerably longer (10 years or more).
A very recent study by the Organization for Economic Co-operation and Development (OCSE) was published in the “Global Plastic Outlook” [4] where it is reported that less than 10% of plastics are recycled around the world. Considering that the world production is estimated to be 460.0 x 106 tons, higher than the total waste (353.0 x 106 tons) produced in the same year, many actions are required to dispose of these plastics.
Mechanical recycle of polymeric materials is easily through environmental-friendly and economic processes, as reported in Figure 1. In this way, renewed objects are realized by recycled plastic materials avoiding disposal of these plastics through landfilling or combustion and reducing the use of mineral oil for their production. This process, however, may be applied only when a single plastic material is available, and it is not contaminated or strongly deteriorated. In the other cases, different environmentally friendly routes may be followed, such as thermochemical processes, thus contributing to the realization of a circular economy and reducing the emission of greenhouse gases (GHG). Polymer thermochemical processes may supply fuels and chemicals using end life plastic materials as a feedstock, and it may be an alternative to oil-based raw materials [5]. These research studies led to the development of new technologies able to convert waste into resources minimizing the environmental impact of their treatment, avoiding the production of by-products, or limiting the amount of secondary waste.
Pathway for mechanical recycling of thermoplastic materials.
Chemical recycling technologies [1, 6] are likely to play a crucial role in the transition toward a circular economy and close the recycling of materials giving compounds such as hydrocarbons, available for the production of new compounds. These technologies are able to remove hazardous substances, eventually present in the waste, thus giving new recycled feedstocks. Agreements with materials and chemical producers the use of raw materials from secondary sources are necessary for developing sustainable, feasible, and cost-efficient chemical recycling.
Among chemical recycling technologies, pyrolysis is one of the most important, also referred to as thermolysis or chemical recycling. It represents the transformation of organic materials, under the effect of heat, in the absence of oxygen. Depending on the process conditions, pyrolysis typically yields a mixture of molecules in the form of liquid or wax as the main products. This liquid or wax can be refined to obtain chemicals or fuels, as well as solid and gas may be used for the production of energy.
In this way, waste or contaminated plastic materials may be transformed into oil for industrial purposes, reducing the request and the environmental impact of mineral oil. The potential for recycling is enormous. In 2018, in Europe, plastic production reached almost 62.0 x 106 tons, and all this plastic should be utilized at the end of its life cycle, in one way or the others. For the oil industry, the use of waste plastic as an alternative feedstock represents a new business.
From a chemical point of view, pyrolyzed plastics are a good raw base material for the oil industry so long the remaining impurities are removed from the plastics, and the oil can be used as feedstock for oil refineries. Pyrolysis involves the use of heat and anoxic conditions to break down plastic waste into compounds containing smaller molecules, yielding valuable hydrocarbons in the form of liquid, waxes, and gases. The end products of pyrolysis can be monomers, heating oil, refinery feedstock, transportation fuels, and chemicals.
Chemical recycling can be mainly used to recycle mixed post-consumer plastic waste when sorting single components is not economical. That is, pyrolysis is a very flexible method that allows the use of various feedstocks. Another method of chemical recycling is gasification. This process converts carbonaceous materials into gases. The main product of gasification is synthesis gas (syngas: CO, and H2), which can be further processed into various final products such as gasoline, diesel, methanol, and synthetic methane. Among these processes, the microwave technologies have taken large attention due to their high efficiency in supplying the energy required for a plethora of industrial processes. The main performances of the use of microwaves as correlated to a classical heating system are resumed in Table 1. Some examples of products obtained from pyrolysis of different polymers using Microwave-Assisted Pyrolysis (MAP) are reported in Table 2.
Microwave heating | Conventional heating | ||
---|---|---|---|
Advantages | Volumetric heating | Detriments | Surface heating |
Short reaction time (minutes) | Long reaction time (hours) | ||
High heating efficiency | Heating efficiency is usually low | ||
The low thermal conductivity of polymers may be overwhelmed: easy heating of polymers | Hard heating of polymers: their thermal conductivity is low | ||
The gas formed does not contain combustion gas | The gas formed is contaminated by combustion gas (Direct heating) | ||
Detriments | Electrical power is required | Advantages | Every fuel source may be employed |
Microwave absorber is required | Additives are not required; some heating carriers are sometimes used |
Correlation between microwave and conventional heating.
Polymer | Products yield (Min-max) % | Ref. | ||
---|---|---|---|---|
Solid | Liquid | Gas | ||
PE | 0.4–0.6 | 80.2–83.9 | 15.7–19.2 | [3, 7] |
PP | 9.1–12.0 | 56.5–74.4 | 13.3–34.4 | [3, 5] |
PS | 0.9–16.7 | 73.5–96.1 | 3.0–9.8 | [8, 9, 10] |
PVC | 13.9–53.2 | 10.2–70.8 | 13.3–75.8 | [11] |
PET* | 15.6 | 41.3 | 38.7 | [12] |
PLA | 2.6–7.6 | 28.4–57.7 | 38.5–69.0 | [13] |
Tyre | 40.6–65.0 | 20.7–44.0 | 9.0–27.4 | [14, 15, 16, 17] |
WEEE | 14.2 | 76.6 | 9.2 | [18] |
MPB | 24.9–59.9 | 31.1–43.7 | 9.0–42.5 | [19] |
CDP | 11.1–30.1 | 22.3–47.6 | 28.7–46.2 | [20] |
Products obtained from microwave-assisted pyrolysys of plastics.
Pyrolysis using classic thermal heating.
PE: Polyethylene; PP: Polypropylene; PS: Polystyrene, PVC: Poly(vynil chloride); PET: Poly(ethylene therephtalate); PLA: Poly(lactic acid); WEEE: Waste electric and electronic equipment; MPB: Multilayer packaging beverage; CDP: Corn-derived plastic bag.
This chapter aims to offer a comprehensive description of the path from laboratory research to the realization of an industrial plant able to transform up to 2,000 Kg/d of waste plastic into valuable products. These products are available to synthesize new plastic materials, and they may be certified as renewed plastics. However, for plastic waste-based pyrolysis products to become a reality on an industrial scale, ardent development in technologies, value chains, and supporting legislation is needed. Despite these hurdles, the missing links in the plastic recycling loop can be addressed and eventually fixed to establish an actual circular economy for plastics.
A circular economy is one of the drivers boosting chemical recycling because it may realize, more and more, so reusing all waste materials. Chemical recycling, such as pyrolysis, is therefore needed, but legislative issues are required for this big challenge of improving the development of this technology.
Techwave s.r.l. is an Italian start-up established to realize an industrial plant from a patent able to transform, by means of microwave, plastic complex polymers into their original components, ready for a new use. The process is based on an Italian proprietary patent [21] of Cooperativa Autotrasportatori Fiorentini (CAF Scrl-Italy) developed and filed by a research team of Department of Organic Chemistry – University of Florence – Italy, in 2011, and converted into a European patent [3] acquired by Techwave in 2018.
Experiments were started in 2008 at the Department of Organic Chemistry “Ugo Schiff,” University of Florence, where a set of trials were performed on tires and various types of plastic materials, ranging from polystyrene (PS) to polyethylene (PE), polypropylene (PP), poly(ethylene terephthalate) (PET), poly(vinyl chloride) (PVC), and their mixtures [22]. Similar experiments were also performed on Waste Electric and Electronic Equipment (WEEE) [18].
Pyrolysis studies were initially performed on a laboratory scale (Figure 2). The experiments were carried out on a batch oven, and 100–300 g/h of materials were processed. The oven was equipped with four external MW generators, each having an absorption of electric power of 2 KW capable of delivering up to 6 KW of microwave power inside the oven, operating at the frequency of 2.45 GHz.
Laboratory MW oven.
During the experimental trial, many arrangements were tested to determine the influence of several parameters on the quantity and quality of the three products formed: a liquid, an uncondensable gas, and a char. In particular, it was verified how some critical factors such as the residence time inside the pyrolytic oven, the temperature reached, and the type of downstream fractionating system would affect the amount and the composition of the three products of the reaction. The liquid may be employed for the synthesis of new polymeric products (Figure 3), while the gas and char may be used as fuel or employed for other uses [1].
The circular economy using a MAP process for polymeric waste materials.
This first study showed MAP as a suitable technique for cracking various types of plastic even if they may be highly contaminated and absolutely heterogeneous. The results obtained led to the publication of various scientific papers and process patents (Table 2) and the identification of the guidelines for the scale-up of MAP technology to an industrial level [1].
Therefore, a first development phase was run for this purpose, to design and then build a prototype that allows the scale-up of the MAP process, enabling the transition from the experimental laboratory studies carried out until today to a pre-industrial phase. The idea, born at the University of Florence and initially funded by one of Techwave’s future partners, was materialized in 2016 with the construction of the first pre-industrial prototype (Figure 4).
Pre-industrial prototype.
This prototype was initially designed for the treatment of End Life Tires (ELTs) and was able to process [14, 15, 16, 17] whole tire (approx. 8 kg) in 30 minutes. The prototype was equipped with electric heating to bring the material to the optimum temperature for the absorption of microwaves and four external MW generators, each supplied with electric power of 1 KW and able to deliver up to 3.2 KW of microwave power inside the oven, operating at the frequency of 2.45 GHz. Later with the birth of Techwave in 2018, it was decided to continue the scale-up of the MAP process by extending the technology to other waste plastic materials, even if mixed or contaminated. The results obtained during the first testing phase are described in the following paragraph.
The purpose of this initial phase was the validation of the data reported on the laboratory scale, both in qualitative and quantitative terms, from the pyrolysis of plastic wastes. It also aimed to determine the operating parameters necessary to treat flows of various types of plastic materials at the end of their life cycle, and PS was chosen as the first example. Polystyrene, like all plastics, is unable to absorb microwave energy and convert it into heat. It must therefore be blended with a microwave absorber to realize the pyrolysis. The materials used as a microwave absorber are commonly carbon or iron powder.
The experiments were carried out using expanded polystyrene (EPS) as starting material and focused on analyzing the ratio between the amount of polystyrene processed and the microwave power used. Therefore, an energy density close to that foreseen in the prototype was used to acquire the information necessary for the design. The process was also studied to correlate the overall yield of the process and the composition of the products to the operating parameters. The data obtained are reported in Table 3.
Exp. N. | PS (kg) | MW Abs* | PS/Abs | MW power (kW) | Total time (min) | Electrical time (min) | MW time (min) | Liquid (%) | Gas (%) | Solid (%) | Styrene in liquid (%) |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1.26 | Fe | 2.0 | 1.2 | 30 | 0 | 30 | 0.0 | 0.0 | 0.0 | 0.0 |
2 | 1.26 | Fe | 2.0 | 1.2 | 62 | 20 | 42 | 0.0 | 0.0 | 0.0 | 0.0 |
3 | 1.26 | Fe | 2.0 | 2.4 | 90 | 28 | 62 | 0.0 | 0.0 | 0.0 | 0.0 |
4 | 1.13 | Fe | 1.8 | 2.4 | 80a | 80 | 60 | 25.2 | 56.6 | 18.2 | 56.5 |
5 | 0.75 | C | 2.0 | 2.4 | 60a | 60 | 45 | 82.4 | 15.3 | 2.3 | 57.5 |
6 | 1.13 | Fe | 2.0 | 4.8 | 90 | 0 | 90 | 64.6 | 24.8 | 10.6 | 69.5 |
7 | 1.01 | C | 2.3 | 4.8 | 60 | 0 | 60 | 56.7 | 24.4 | 18.9 | 55.6 |
8 | 0.98 | Fe | 2.0 | 4.8 | 80 | 25 | 55 | 71.9 | 17.9 | 10.2 | 55.5 |
9 | 0.98 | Fe | 2.0 | 4.8 | 90 | 90 | 60 | 71.9 | 18.9 | 9.2 | 54.7 |
10 | 0.49 | Fe | 1.9 | 4.8 | 75 | 75 | 30 | 44.1 | 24.3 | 31.6 | 62.1 |
11 | 0.49 | Fe | 1.9 | 4.8 | 90 | 90 | 45 | 62.9 | 21.8 | 15.3 | 59.6 |
12 | 0.98 | Fe | 2.0 | 4.8 | 80 | 80 | 45 | 55.6 | 22.4 | 21.9 | 68.2 |
MAP of PS: operating parameters.
MW Abs: Microwave absorber.
Electrical and MW heating work at the same time.
In all experiments, polystyrene was mostly converted into a liquid using mainly iron powder as a microwave absorber. Working at low power, the energy is not enough to start the pyrolysis process (EXP 1–3). Even by preheating the pyrolysis chamber through electrical resistances, the liquid yield is low (EXP 4). Instead, it can be noted that under the same reaction conditions, but using carbon as an absorber, the liquid increases considerably (EXP 5) confirming carbon as a better MW absorber. To obtain good yields of the liquid, it was necessary to increase the power (EXP 6–12), working with a ratio microwave power/PS of approx. 4.8–9.6 kW/kg. Analyses carried out on the liquid samples of the most significant tests showed aromatic hydrocarbons as the main compounds, among which single-ring aromatic compounds such as styrene, toluene, ethylbenzene, and α-methylstyrene were present in very high amounts. Styrene was the compound present in the highest percentage (approx. 55–70%). The results confirmed the previous studies carried out at the laboratory level [8, 9, 10], albeit working with a considerably lower MW power than that one previuosly employed in laboratory experiments (4.8–9.6 vs. 30 kW/kg), and made it possible to develop the application of the MAP process of PS on an industrial scale.
The experiments with the pre-industrial prototype were run to collect process information for the realization of the industrial plant. Thanks to the collaboration between Cognito Engineering srl and the Department of Chemistry of the University of Florence, in 2019, Techwave built its first experimental industrial prototype following the scheme reported in Figure 5. The plant was installed in its factory in Massa (Italy) (Figures 6–8).
Flow diagram of MAP process.
Industrial prototype plant.
Plastic container located in the upper part of the prototype.
MW oven located in the bottom part of the prototype with, in front, the microwave guide.
The prototype was realized considering its possible introduction in two standard containers for easy shipping, even if its dimension may be strongly scaled up if required. Taking into account the dimension, it may be installed on one small ship. Waste plastic materials are largely present in the sea [23], and they may be collected and immediately disposed of through this plant or another plant close to this. The products formed may be employed to produce the energy required, while the excess may be sold on the market. Furthermore, a plant of this dimension may be installed in a municipal collecting and selection center of waste plastics, where it may be employed to pyrolyze the mixed plastics collected, avoiding their sending to a disposal plant. The prototype may be useful also for a large hospital to dispose of the contaminated waste plastics. The pyrolysis products do not contain dangerous contaminants because the biological products are destroyed during the process as reported in the literature [24, 25] while the chemicals formed may be sold for their commercial uses. In 2020, the plant started testing operations using EPS, ABS, or PP as plastic materials. Tests were carried out for 1 year, improving the results step by step, both in terms of plant efficiency and the quality of the secondary raw materials produced. The description of the tests carried out and the results obtained are reported in the following paragraphs.
The description shows how the tests for the MAP process were run in the industrial prototype with the plant working in semi-batch mode. The amount of plastic and carbon black for a single test was taken from the storage area. The carbon black required for the absorption of the microwave was manually introduced into the pyrolysis reactor, while the plastic material was added through the plastic loading system.
Experiments were carried out in an inert atmosphere (nitrogen), realized through various vacuum/nitrogen cycles. The carrier gas was not used to avoid the dilution of the uncondensable gas with the carrier gas. At the end of the purge operations, the plastic material was loaded into the pyrolysis reactor by a screw conveyor and the electrical resistances were switched on to preheat the reactor. Then, they were switched off, and the microwave generators were switched on.
The plastic thermal degradation formed hydrocarbon vapors conveyed to a cooling system. The higher boiling fraction was condensed and collected in the bottom of the cooling system, while the low boiling fraction, together with uncondensable gas, was sent to a torch. During the pyrolysis, further amounts of plastic material were added to the reactor constantly. At the end of the process, the microwave generators were switched off. When the plant was returned to room temperature, vacuum/nitrogen cycles were repeated as described above. At the end of this operation, the solid fraction was collected from the bottom of the reactor. The process was completed, and a new pyrolysis cycle could be started.
In the experiment, the microwave launch system was studied and modified several times until it reached the optimal configuration. The experiments let to identify and refine some operational parameters of the MAP process for improving the yields and quality of pyrolysis products. Table 4 reports the operating parameters of the most significant tests. Microwave power is critical in MAP as it must provide enough energy to break the polymer bonds and start the thermal degradation process. Comparing the data in Table 4, an increase in MW power allowed to treat a double amount of plastic with the same reaction time (PS1, PS3, and PS4).
Entrya | Plastic b (kg) | Power (KW) | Time (min) | Liquid (wt%) | Gas (wt%) | Solid (wt%) |
---|---|---|---|---|---|---|
PS1 | 8 | 6;12c | 210;15c | 94 | 4 | 2 |
PS2 | 32 | 12 | 310 | 95 | 3 | 2 |
PS3 | 20 | 12 | 280 | 89 | 6 | 5 |
PS4 | 38 | 18 | 272 | 98 | 1 | 1 |
ABS1 | 75 | 18 | 221 | 67 | 23 | 10 |
ABS2 | 69 | 18 | 225 | 68 | 28 | 4 |
PP1 | 61 | 18 | 237 | 81 | 12 | 7 |
PP2 | 70 | 18 | 230 | 86 | 7 | 6 |
Operating parameters of the most significant tests.
PS: Polystyrene; ABS: Acrylonitrile/Butadiene/Styrene rubber; PP: Polypropylene;
Absorber 1.8 kg (in all tests);
6 KW for 210 min then 12 KW for 15 min.
Once the microwave launch system was fine-tuned, the design of experiments (DOE) was planned to optimize the plant productivity, using various types of plastic materials (PS, ABS or PP, Table 4). By way of example, the logs of temperatures, microwave power, and liquid level produced during the MAP of experiment ABS2 are reported in Figure 9 to describe the evolution of the pyrolysis process. Although the temperature plays an important role, this parameter is detected with high uncertainty in microwave pyrolysis [26]. For this reason, the process was followed by monitoring the temperatures recorded by the probes located in several areas of the plant.
From top to bottom: temperatures log, microwave power log, and level liquid log produced in MAP of ABS2.
The probes from TT101 to TT105 were arranged on the reactor from top to bottom: on the bottom of the reactor was the TT110 probe. The temperature of the vapors generated during pyrolysis was recorded by the TT106 on the condensation pipeline, located after the exit from the reactor. The TT120 probe monitors the electrical resistances of the preheating reactor. All the probe temperatures were referenced to the TT001 corresponding to the ambient temperature.
When the reactor was heated at the prefixed temperature by the electrical resistances, these resistances were switched off while the microwave generators were turned on. Following the curves of the temperature probes on the reactor, it was possible to see how the temperature rose suddenly. During this phase, the carbon black absorbed the microwaves and transferred the heat to the plastic material, which starts to melt. As the process went on, the temperature curves of the reactor reached a value corresponding to the start of the thermal degradation of plastics and consequent generation of hydrocarbon vapors, as could be seen from the TT106 curve. At the same time, the LT101 level curve increased due to the condensation of the vapors and liquid was collected.
When the plant was in full operation, the TT101–106 curves remained constant, and the level LT101 of the liquid in the container continuously grew until the microwave generators were switched off, so the system was cooled, and all temperatures started to decrease when the industrial plant works in the best operating conditions, let to treat 33 kg/h of waste plastic.
As described above, the plant can carry out the MAP process of waste plastic materials at the end of its life cycle, from which three types of products were obtained (liquid, solid, and gas). During the experiment, samples were collected for each type of material for their characterizations. These analyses provided useful information to establish the quality and commercial value of the products formed. The following paragraphs report for each type of polymer tested, a description of analysis results, both for the starting material and the products obtained from the MAP.
For each plastic material evaluated during the experiments, thermogravimetric analysis (TGA) and differential scanning calorimetric analysis (DSC) were carried out to obtain information on the polymer composition, stability and consequently predict the yield of the pyrolysis products. Specifically, TGA and DSC are two thermal analyses used to characterize polymers. TGA variations measure the weight loss of a sample subject to a constant increase in temperature to quantify the products formed, including gaseous emissions, while DSC measures phase transitions such as melting point and glass transition temperature.
The polystyrene sample was shredded before being analyzed (Figure 10). Two thermal ramps were employed for the TGA/FTIR analysis, the first at a rising temperature of 20°C/min in an inert atmosphere followed by an isotherm in an oxygen atmosphere. The thermogram shows a single weight loss of 99.8 wt % related to the organic part of the polymer and a final residue equal to 0.2% attributed to inorganic impurities present (Figure 11).
EPS sample before (left) and after (right) shredding for TGA analysis.
TGA analysis of EPS.
The FT-IR spectrum of the gas released during the degradation of the polymeric component is reported in Figure 12. The spectrum of the gas released at a temperature of 480°C shows the typical signals of hydrocarbons due to the degradation products of polystyrene. The degradation occurred by both end chains and random cleavage and gave only aromatic compounds such as styrene monomer and oligomers, benzene, and toluene. The spectrum shows the typical frequencies of aromatic compounds, such as the stretching of the C-H bond at 3000 cm−1, the stretching of the aromatic double bond at 1600–1450 cm−1, and the signals between 900 and 700 cm−1 of the aromatic C-C backbone.
FT-IR spectrum of the gases released during the TGA analysis of EPS.
The sample was also subjected to DSC analysis, using three thermal ramps in the temperature range from −10 to 200° C, alternating heating–cooling–heating, in an inert atmosphere. The DSC analysis (Figure 13) shows the presence of a peak at about 60°C, which almost completely disappears in the second heating, probably due to the memory effect or to the presence of traces of volatile compounds in the sample, not visible in the TGA analysis. Furthermore, the sample shows a temperature glass transition at about 94°C, which agrees with the classical Tg of polystyrene. The TGA and DSC analyses show that the sample is essentially polystyrene with probable traces of volatile substances and a small percentage of inorganic impurities.
DSC analysis of EPS.
The sample was analyzed without any pretreatment. Two thermal ramps were adopted for the TGA analysis, the first at a rising temperature of 20°C/min in an inert atmosphere followed by an isotherm in an oxygen atmosphere. As can be seen from the thermogram (Figure 14), the following weight losses were recorded:
at about 330°C, weight loss of 8.2 wt%;
between 400 and 530°C, weight loss of 78.3 wt%, associated with the degradation of the polymeric component;
at 700°C, weight loss of 2.5 wt% associated with the degradation of inorganic compounds;
at 800°C after the switch in the atmosphere of O2 weight loss of 3.3 wt%.
TGA analysis of ABS.
At the end of the analysis, a final residue of 7.7 wt% of the sample was present and associated with inorganic compounds that do not degrade up to this temperature.
The FTIR spectrum of the gas released by the sample during TGA analysis is reported in Figure 15. In the FTIR spectrum of the gas released at 330°C (black line) is present only the emission of CO2, probably due to the degradation with the temperature of inorganic compounds present in ABS. At 440°C, the FTIR spectrum shows signals associated with degradation products of a carbonate containing ABS.
FT-IR spectra of gases released at 330°C (black) and 440°C (red) during the TGA analysis of ABS.
As reported in the literature, the thermal degradation of ABS polymer begins at 340°C with the formation of the butadiene monomer. The aromatic compounds begin to be noticed at 350°C, a temperature at which the degradation of polybutadiene unities is still evident. As the temperature increases, the formation of styrene becomes more important, and at 420°C, the intensities of the C-H bands of butadiene and styrene are approximately equal. At higher temperatures, the presence of aromatics decreases in intensity while that one of butadiene is very strong. The evolution of acrylonitrile begins at about 400°C and ends at 450°C [27].
According to the above description, the spectrum of gas released at 440°C (Figure 15, red line) shows the stretching of aromatic C-H at 3100 cm−1, and aliphatic C-H stretches at 2900 cm−1 and the stretching of the nitrile group at approx. 2200 cm−1. Another sample of ABS was crushed and subsequently subjected to DSC analysis, running three thermal ramps in the temperature range from 25 to 300°C, alternating heating–cooling–heating, in an inert atmosphere. DSC analysis shows a glass transition at T = 108.25°C (Figure 16, red curve) associated with the styrenic portion typical of acrylic copolymers such as acrylonitrile-butadiene-styrene (ABS), styrene–acrylonitrile (SAN), or acrylonitrile–styrene-acrylate (ASA), a glass transition at T = 124.08°C associated with polycarbonate present and a glass transition at T = 162.42°C associated with ABS.
DSC analysis of ABS.
From the DSC and TGA/FTIR analyses, the sample is a polycarbonate containing ABS (78.3%) with small quantities of polypropylene.
Propylene experiments were carried out using single-use masks as a sample of PP. The single-use masks were cut to separate the non-woven polypropylene from the elastic bands, and the two samples were analyzed separately by DSC. For each sample, three thermal ramps were performed in the temperature range from −10 to 300°C, alternating heating–cooling–heating, in an inert atmosphere. Measurement of the glass transition temperature, (Tg), of polypropylene is generally considered difficult to detect with DSC analysis because the transition is weak. The graph (Figure 17) instead shows a peak at 167°C corresponding to the melting temperature of polypropylene (green curve) and a peak at 221°C typical of the nylon used to realize the elastic bands of single-use masks (purple curve).
TGA analysis of single-use mask.
The products formed in the MAP process of these plastic materials were liquid, gas, and char. In all cases, the liquid was the most important fraction both in quantity and commercial value. The characterization of this fraction for the most significant tests is reported below; the chemical–physical properties are shown in Table 5. Physical characteristics of liquids from MAP of PS were not affected by the variation of the MW power. The density recorded in all samples was almost the same and in a very narrow range among 0.92–0.95 g/cm3. Furthermore, close values of ultimate analyses and the molar C/H ratios suggested that all the liquid samples had a similar composition, even if different process parameters have been employed. The C/H molar ratio in a range between 0.94 and 1.0 wt% confirmed the prevailing presence of the aryl compounds in liquids from PS pyrolysis.
Entry | Density | LHV | Elemental analysis (wt %) | C/H | ||
---|---|---|---|---|---|---|
(g/cm3) | (MJ/kg) | C | H | N | molar ratio | |
PS1 | 0.94 | 39.6 | 82.8 | 7.35 | <0.50 | 0.94 |
PS2 | 0.95 | 40.0 | 89.2 | 7.60 | <0.50 | 0.98 |
PS5 | 0.92 | 39.1 | 85.2 | 7.07 | <0.50 | 1.00 |
ABS1 | 1.02 | 34.4 | 79.8 | 7.8 | 2.9 | 0.85 |
PP2 | 0.75 | 34.3 | 84.3 | 14.3 | 0.0 | 0.49 |
Physical characteristics of liquids obtained from MAP of plastics.
The lower calorific value (LHV) of the liquids from MAP of PS also showed the same trend as the C/H molar ratio, with values close to styrene, benzene, and ethylbenzene (LHV of 39.6, 40.0, and 39.1 MJ/kg, respectively for PS1, PS2, and PS5). As foreseen from the literature and in agreement with the tests carried out both in the laboratory and on the pre-industrial prototype, the main products of PS pyrolysis are aromatic hydrocarbons such as benzene, toluene, ethylbenzene, styrene, and α-methylstyrene (Table 6).
Compounds | Area (%) |
---|---|
Toluene | 3.4 |
Ethylbenzene | 7.9 |
Styrene | 56.9 |
Cumene | 1.2 |
α-Methylstyrene | 8.0 |
1,3-Diphenylpropane | 4.0 |
Bis(1,1′-(1-methyl-1,3-propanedyl))benzene | 1.6 |
Stilbene | 0.7 |
1,2-Diphenylcyclopropane | 2.2 |
Bis(1,1’-(3-methyl-1-propenylidene))benzene | 1.4 |
Others | 12.7 |
Main compounds identified in liquid from MAP of PS4, by GC–MS.
Styrene is always the predominant compound in each liquid sample. From the analysis of data reported in Table 7 it is possible to show how the amount of styrene (evaluated by chromatographic area of the GC/MS spectra) is correlated with the microwave power used. The highest amount of styrene was present in PS2 and PS4 (respectively 52.8 and 56.9%), corresponding to experiments where a higher microwave power was used. In contrast, using a lower microwave power (PS1, Table 7), the amount of styrene was drastically reduced. Also, as reported above for PS, the MAP of ABS gives a liquid fraction with a density between 0.97 and 1.02 g/cm3 and C/H molar ratio of 0.85 wt% indicative of the prevailing presence of aromatic compounds. The liquid fraction was analyzed by GC–MS, a complete list of compounds identified through the NIST library is reported in Table 8. Aryl compounds, especially styrene, are present in large amounts in the liquid from MAP of ABS. In the presence of acrylonitrile, nitrile compounds such as 2-methylenpropionitrile were formed in a significant amount. MAP of PP gave a low-density liquid (0.746–0.760 g/cm3) and a C/H molar ratio of 0.5 wt%, confirming the prevailing presence of aliphatic compounds in this liquid. The main compounds identified in the liquid from MAP of PP are reported in Table 9, they were branched saturated and unsaturated hydrocarbons, which wereformed through C-C bond cleavage of the PP backbone. In particular, there was a prevalence of C9-C12 hydrocarbons, and among these, the 2,4-dimethyl-1-hepthene was found as the main compound, in agreement with previous results [8]. Many other compounds were present in very low amounts and reported as others. The presence of aromatic hydrocarbons was attributed to cyclization and aromatization reactions of unsaturated compounds formed during the MAP process as reported.
Entry | Power (kW) | Styrene (wt%) |
---|---|---|
PS1 | 6;12 | 37.4 |
PS2 | 12 | 52.8 |
PS4 | 18 | 56.9 |
Correlation between styrene in liquid and MW power in the MAP of PS.
Compounds | Area (%) |
---|---|
2-Methyl-2-propenenitrile | 12.5 |
Toluene | 4.4 |
Ethylbenzene | 8.8 |
Styrene | 20.8 |
Cumene | 3.8 |
α-Methylstyrene | 12.5 |
6,7-dihydro-5-methyl-5H-cyclopentapyrazine | 7.9 |
1,3-Diphenylpropane | 7.2 |
Others | 22.1 |
Main compounds identified in liquids from MAP of ABS, by GC–MS.
Compounds | Area (%) |
---|---|
5-Methylhex-1-ene | 0.8 |
2,4-Dimethyl heptane | 12.5 |
1,4-Dimethylbenzene | 1.2 |
1,3,5-Trimethylbenzene | 0.5 |
1,2,4,5-Tetramethylbenzene | 0.2 |
2,4,6,8-Tetramethylundec-1-ene | 3.5 |
2,4,6,8-Tetramethylundecane | 2.3 |
2,4,6,8,10-Pentamethyltridec-3-ene | 0.6 |
Others | 78.4 |
Compounds identified in liquids from MAP of PP, by GC–MS.
The facemasks were converted into the classical three products of a MAP (liquid, small amount of solid, and gas), having a composition close to those reported in the pyrolysis of PP. The possible contamination was absent in the products formed due to the pyrolysis conditions adopted.
The quality and quantity of end-of-life plastics are continuously improved while the amount of recycled material is always too low. Several firms such as AmSty and Agylix [28], ReVital Polymers, Pyrowave, and INEOS Styrolution [29], BASF, Quantafuel, and REMONDIS [30], Neste [31], and so on are involved in recycling plastic materials using thermochemical processes [1] using, mainly, classic heating method. This review shows the MAP process developed by Techwave as an industrial novelty proposed for the friendly and economical disposal of waste/contaminated plastics. In this way, valuable products, useful as a source of secondary raw material, close the cycle of a circular economy because plastic waste is converted in a feedstock for the production of new plastics.
MAP is a very interesting way to dispose of end life plastics because it does not produce waste from chemical recycling of plastics but three classes of products: a char, an oil, and a gas, available as fuel or the source of new materials for the synthesis of new products. The process is self-sustainable from an energetic point of view rendering the process economically sustainable. The Techwave proposal offers an industrial plant designed to obtain secondary raw materials from plastic wastes, thus closing the cycle for a circular economy and giving a strong advantage in terms of environmental protection and expansion of the recycled material market in a green and sustainable way.
Finally, the plant was realized as planned, so it is possible to introduce in two standard containers for its shipping. Furthermore, a plant of this dimension may be installed in a municipal collecting and selecting center of waste plastic where it may be employed to pyrolyze the mixed plastic present, avoiding the transport of this waste for disposal. The plant may be useful also for a large hospital to dispose of the waste/contaminated plastic present, taking into account that the pyrolysis products do not contain biological contamination because they are destroyed in the course of the process as reported in the literature [24, 25] while the products formed may be sold on the market. The dimension of the plant lets its installation on one small ship where the waste plastic materials present in the sea may be collected and immediately disposed. The products formed may be employed to produce the energy required for all operations, while the excess may be sold on the market.
Techwave srl is acknowledged for financial support. M.F. thanks the University of Florence for financial support.
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Soto",authors:[{id:"141560",title:"PhD.",name:"Ricardo",middleName:null,surname:"Soto",slug:"ricardo-soto",fullName:"Ricardo Soto"}]},{id:"51171",doi:"10.5772/62233",title:"Some Recent Advances in Nonlinear Inverse Scattering in 2D: Theory and Numerics",slug:"some-recent-advances-in-nonlinear-inverse-scattering-in-2d-theory-and-numerics",totalDownloads:1890,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"We survey our recently published results concerning scattering problems for the nonlinear Schrödinger equation",book:{id:"5134",slug:"applied-linear-algebra-in-action",title:"Applied Linear Algebra in Action",fullTitle:"Applied Linear Algebra in Action"},signatures:"Valery Serov, Markus Harju and Georgios Fotopoulos",authors:[{id:"111112",title:"Prof.",name:"Valery",middleName:null,surname:"Serov",slug:"valery-serov",fullName:"Valery Serov"},{id:"179195",title:"Dr.",name:"Markus",middleName:null,surname:"Harju",slug:"markus-harju",fullName:"Markus Harju"},{id:"179196",title:"Dr.",name:"Georgios",middleName:null,surname:"Fotopoulos",slug:"georgios-fotopoulos",fullName:"Georgios Fotopoulos"}]},{id:"60350",doi:"10.5772/intechopen.74105",title:"Cramer’s Rules for the System of Two-Sided Matrix Equations and of Its Special Cases",slug:"cramer-s-rules-for-the-system-of-two-sided-matrix-equations-and-of-its-special-cases",totalDownloads:1129,totalCrossrefCites:0,totalDimensionsCites:2,abstract:"Within the framework of the theory of row-column determinants previously introduced by the author, we get determinantal representations (analogs of Cramer’s rule) of a partial solution to the system of two-sided quaternion matrix equations A1XB1=C1, A2XB2=C2. We also give Cramer’s rules for its special cases when the first equation be one-sided. Namely, we consider the two systems with the first equation A1X=C1 and XB1=C1, respectively, and with an unchanging second equation. Cramer’s rules for special cases when two equations are one-sided, namely the system of the equations A1X=C1, XB2=C2, and the system of the equations A1X=C1, A2X=C2 are studied as well. Since the Moore-Penrose inverse is a necessary tool to solve matrix equations, we use its determinantal representations previously obtained by the author in terms of row-column determinants as well.",book:{id:"6526",slug:"matrix-theory-applications-and-theorems",title:"Matrix Theory",fullTitle:"Matrix Theory - Applications and Theorems"},signatures:"Ivan I. 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We illustrate all with practical examples.",book:{id:"5134",slug:"applied-linear-algebra-in-action",title:"Applied Linear Algebra in Action",fullTitle:"Applied Linear Algebra in Action"},signatures:"Aleksandra Kostić",authors:[{id:"178893",title:"Associate Prof.",name:"Aleksandra",middleName:null,surname:"Kostić",slug:"aleksandra-kostic",fullName:"Aleksandra Kostić"}]},{id:"60260",title:"Nature of Phyllotaxy and Topology of H-matrix",slug:"nature-of-phyllotaxy-and-topology-of-h-matrix",totalDownloads:1226,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"The main purpose of this chapter is to introduce a new type of regular matrix generated by Fibonacci numbers and we shall investigate its various topological properties. The concept of mathematical regularity in terms of Fibonacci numbers and phyllotaxy have been discussed.",book:{id:"6526",slug:"matrix-theory-applications-and-theorems",title:"Matrix Theory",fullTitle:"Matrix Theory - Applications and Theorems"},signatures:"Ab. 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Cramer’s rules for special cases when two equations are one-sided, namely the system of the equations A1X=C1, XB2=C2, and the system of the equations A1X=C1, A2X=C2 are studied as well. Since the Moore-Penrose inverse is a necessary tool to solve matrix equations, we use its determinantal representations previously obtained by the author in terms of row-column determinants as well.",book:{id:"6526",slug:"matrix-theory-applications-and-theorems",title:"Matrix Theory",fullTitle:"Matrix Theory - Applications and Theorems"},signatures:"Ivan I. 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We also investigate relations of zeros between q-tangent polynomials and classical tangent polynomials.",book:{id:"8599",slug:"polynomials-theory-and-application",title:"Polynomials",fullTitle:"Polynomials - Theory and Application"},signatures:"Jung Yoog Kang and Cheon Seoung Ryoo",authors:null},{id:"59479",title:"Matrices Which are Discrete Versions of Linear Operations",slug:"matrices-which-are-discrete-versions-of-linear-operations",totalDownloads:979,totalCrossrefCites:0,totalDimensionsCites:1,abstract:"We introduce and study a matrix which has the exponential function as one of its eigenvectors. We realize that this matrix represents a set of finite differences derivation of vectors on a partition. This matrix leads to new expressions for finite differences derivatives which are exact for the exponential function. We find some properties of this matrix, the induced derivatives and of its inverse. We provide an expression for the derivative of a product, of a ratio, of the inverse of vectors, and we also find the equivalent of the summation by parts theorem of continuous functions. This matrix could be of interest to discrete quantum mechanics theory.",book:{id:"6526",slug:"matrix-theory-applications-and-theorems",title:"Matrix Theory",fullTitle:"Matrix Theory - Applications and Theorems"},signatures:"Armando Martínez Pérez and Gabino Torres Vega",authors:[{id:"93519",title:"Dr.",name:"Gabino",middleName:null,surname:"Torres-Vega",slug:"gabino-torres-vega",fullName:"Gabino Torres-Vega"},{id:"219225",title:"MSc.",name:"Armando",middleName:null,surname:"Martínez-Pérez",slug:"armando-martinez-perez",fullName:"Armando Martínez-Pérez"}]}],onlineFirstChaptersFilter:{topicId:"161",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:11,numberOfPublishedChapters:91,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:108,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:33,numberOfPublishedChapters:333,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:14,numberOfPublishedChapters:145,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:11,numberOfPublishedChapters:144,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:125,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:23,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:12,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:"2753-6580",doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}}]},series:{item:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983",scope:"Biochemistry, the study of chemical transformations occurring within living organisms, impacts all areas of life sciences, from molecular crystallography and genetics to ecology, medicine, and population biology. 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Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. 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Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:6,paginationItems:[{id:"22",title:"Applied Intelligence",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",isOpenForSubmission:!0,editor:{id:"27170",title:"Prof.",name:"Carlos",middleName:"M.",surname:"Travieso-Gonzalez",slug:"carlos-travieso-gonzalez",fullName:"Carlos Travieso-Gonzalez",profilePictureURL:"https://mts.intechopen.com/storage/users/27170/images/system/27170.jpeg",biography:"Carlos M. Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. He is a Senior Member of the IEEE Computer, the IEEE Computational Intelligence, and the IEEE Systems, Man, and Cybernetics Societies, and the Association of Computing Machinery (ACM). Finally, his main research interests include data science, computational intelligence, and their applications.",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"26",title:"Machine Learning and Data Mining",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",isOpenForSubmission:!0,editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. 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Dr. Aydin is currently a Fellow of Higher Education Academy, UK, a member of EPSRC College, a senior member of IEEE and a senior member of ACM. In addition to being a member of advisory committees of many international conferences, he is an Editorial Board Member of various peer-reviewed international journals. He has served as guest editor for a number of special issues of peer-reviewed international journals.",institutionString:null,institution:{name:"University of the West of England",institutionURL:null,country:{name:"United Kingdom"}}},editorTwo:null,editorThree:null}]},overviewPageOFChapters:{paginationCount:6,paginationItems:[{id:"82526",title:"Deep Multiagent Reinforcement Learning Methods Addressing the Scalability Challenge",doi:"10.5772/intechopen.105627",signatures:"Theocharis Kravaris and George A. 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His research focuses on biochemistry, biophysics, genetics, molecular biology, and molecular medicine with specialization in the fields of drug design, protein structure-function, protein folding, prions, microRNA, pseudogenes, molecular cancer, epigenetics, metabolites, proteomics, genomics, protein expression, and characterization by spectroscopic and calorimetric methods.",institutionString:"University of Health Sciences",institution:null},{id:"180528",title:"Dr.",name:"Hiroyuki",middleName:null,surname:"Kagechika",slug:"hiroyuki-kagechika",fullName:"Hiroyuki Kagechika",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/180528/images/system/180528.jpg",biography:"Hiroyuki Kagechika received his bachelor’s degree and Ph.D. in Pharmaceutical Sciences from the University of Tokyo, Japan, where he served as an associate professor until 2004. He is currently a professor at the Institute of Biomaterials and Bioengineering (IBB), Tokyo Medical and Dental University (TMDU). From 2010 to 2012, he was the dean of the Graduate School of Biomedical Science. Since 2012, he has served as the vice dean of the Graduate School of Medical and Dental Sciences. He has been the director of the IBB since 2020. Dr. Kagechika’s major research interests are the medicinal chemistry of retinoids, vitamins D/K, and nuclear receptors. 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He received his post-doctoral training in oncology and cancer proteomics for two years at the Cancer Research Institute of Human Medical University in China. In 2001, he went to the University of Tennessee Health Science Center (UTHSC) in USA, where he was a post-doctoral researcher and focused on mass spectrometry and cancer proteomics. Then, he was appointed as an Assistant Professor of Neurology, UTHSC in 2005. He moved to the Cleveland Clinic in USA as a Project Scientist/Staff in 2006 where he focused on the studies of eye disease proteomics and biomarkers. He returned to UTHSC as an Assistant Professor of Neurology in the end of 2007, engaging in proteomics and biomarker studies of lung diseases and brain tumors, and initiating the studies of predictive, preventive, and personalized medicine (PPPM) in cancer. In 2010, he was promoted to Associate Professor of Neurology, UTHSC. Currently, he is a Professor at Xiangya Hospital of Central South University in China, Fellow of Royal Society of Medicine (FRSM), the European EPMA National Representative in China, Regular Member of American Association for the Advancement of Science (AAAS), European Cooperation of Science and Technology (e-COST) grant evaluator, Associate Editors of BMC Genomics, BMC Medical Genomics, EPMA Journal, and Frontiers in Endocrinology, Executive Editor-in-Chief of Med One. He has\npublished 116 peer-reviewed research articles, 16 book chapters, 2 books, and 2 US patents. His current main research interest focuses on the studies of cancer proteomics and biomarkers, and the use of modern omics techniques and systems biology for PPPM in cancer, and on the development and use of 2DE-LC/MS for the large-scale study of human proteoforms.",institutionString:null,institution:{name:"Xiangya Hospital Central South University",country:{name:"China"}}},{id:"40482",title:null,name:"Rizwan",middleName:null,surname:"Ahmad",slug:"rizwan-ahmad",fullName:"Rizwan Ahmad",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/40482/images/system/40482.jpeg",biography:"Dr. Rizwan Ahmad is a University Professor and Coordinator, Quality and Development, College of Medicine, Imam Abdulrahman bin Faisal University, Saudi Arabia. Previously, he was Associate Professor of Human Function, Oman Medical College, Oman, and SBS University, Dehradun. Dr. Ahmad completed his education at Aligarh Muslim University, Aligarh. He has published several articles in peer-reviewed journals, chapters, and edited books. His area of specialization is free radical biochemistry and autoimmune diseases.",institutionString:"Imam Abdulrahman Bin Faisal University",institution:{name:"Imam Abdulrahman Bin Faisal University",country:{name:"Saudi Arabia"}}},{id:"41865",title:"Prof.",name:"Farid A.",middleName:null,surname:"Badria",slug:"farid-a.-badria",fullName:"Farid A. Badria",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/41865/images/system/41865.jpg",biography:"Farid A. Badria, Ph.D., is the recipient of several awards, including The World Academy of Sciences (TWAS) Prize for Public Understanding of Science; the World Intellectual Property Organization (WIPO) Gold Medal for best invention; Outstanding Arab Scholar, Kuwait; and the Khwarizmi International Award, Iran. He has 250 publications, 12 books, 20 patents, and several marketed pharmaceutical products to his credit. He continues to lead research projects on developing new therapies for liver, skin disorders, and cancer. Dr. Badria was listed among the world’s top 2% of scientists in medicinal and biomolecular chemistry in 2019 and 2020. He is a member of the Arab Development Fund, Kuwait; International Cell Research Organization–United Nations Educational, Scientific and Cultural Organization (ICRO–UNESCO), Chile; and UNESCO Biotechnology France",institutionString:"Mansoura University",institution:{name:"Mansoura University",country:{name:"Egypt"}}},{id:"329385",title:"Dr.",name:"Rajesh K.",middleName:"Kumar",surname:"Singh",slug:"rajesh-k.-singh",fullName:"Rajesh K. Singh",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/329385/images/system/329385.png",biography:"Dr. Singh received a BPharm (2003) and MPharm (2005) from Panjab University, Chandigarh, India, and a Ph.D. (2013) from Punjab Technical University (PTU), Jalandhar, India. He has more than sixteen years of teaching experience and has supervised numerous postgraduate and Ph.D. students. He has to his credit more than seventy papers in SCI- and SCOPUS-indexed journals, fifty-five conference proceedings, four books, six Best Paper Awards, and five projects from different government agencies. He is currently an editorial board member of eight international journals and a reviewer for more than fifty scientific journals. He received Top Reviewer and Excellent Peer Reviewer Awards from Publons in 2016 and 2017, respectively. He is also on the panel of The International Reviewer for reviewing research proposals for grants from the Royal Society. He also serves as a Publons Academy mentor and Bentham brand ambassador.",institutionString:"Punjab Technical University",institution:{name:"Punjab Technical University",country:{name:"India"}}},{id:"142388",title:"Dr.",name:"Thiago",middleName:"Gomes",surname:"Gomes Heck",slug:"thiago-gomes-heck",fullName:"Thiago Gomes Heck",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/142388/images/7259_n.jpg",biography:null,institutionString:null,institution:{name:"Universidade Regional do Noroeste do Estado do Rio Grande do Sul",country:{name:"Brazil"}}},{id:"336273",title:"Assistant Prof.",name:"Janja",middleName:null,surname:"Zupan",slug:"janja-zupan",fullName:"Janja Zupan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/336273/images/14853_n.jpeg",biography:"Janja Zupan graduated in 2005 at the Department of Clinical Biochemistry (superviser prof. dr. Janja Marc) in the field of genetics of osteoporosis. Since November 2009 she is working as a Teaching Assistant at the Faculty of Pharmacy, Department of Clinical Biochemistry. In 2011 she completed part of her research and PhD work at Institute of Genetics and Molecular Medicine, University of Edinburgh. She finished her PhD entitled The influence of the proinflammatory cytokines on the RANK/RANKL/OPG in bone tissue of osteoporotic and osteoarthritic patients in 2012. From 2014-2016 she worked at the Institute of Biomedical Sciences, University of Aberdeen as a postdoctoral research fellow on UK Arthritis research project where she gained knowledge in mesenchymal stem cells and regenerative medicine. She returned back to University of Ljubljana, Faculty of Pharmacy in 2016. She is currently leading project entitled Mesenchymal stem cells-the keepers of tissue endogenous regenerative capacity facing up to aging of the musculoskeletal system funded by Slovenian Research Agency.",institutionString:null,institution:{name:"University of Ljubljana",country:{name:"Slovenia"}}},{id:"357453",title:"Dr.",name:"Radheshyam",middleName:null,surname:"Maurya",slug:"radheshyam-maurya",fullName:"Radheshyam Maurya",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/357453/images/16535_n.jpg",biography:null,institutionString:null,institution:{name:"University of Hyderabad",country:{name:"India"}}},{id:"418340",title:"Dr.",name:"Jyotirmoi",middleName:null,surname:"Aich",slug:"jyotirmoi-aich",fullName:"Jyotirmoi Aich",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000038Ugi5QAC/Profile_Picture_2022-04-15T07:48:28.png",biography:"Biotechnologist with 15 years of research including 6 years of teaching experience. Demonstrated record of scientific achievements through consistent publication record (H index = 13, with 874 citations) in high impact journals such as Nature Communications, Oncotarget, Annals of Oncology, PNAS, and AJRCCM, etc. Strong research professional with a post-doctorate from ACTREC where I gained experimental oncology experience in clinical settings and a doctorate from IGIB where I gained expertise in asthma pathophysiology. A well-trained biotechnologist with diverse experience on the bench across different research themes ranging from asthma to cancer and other infectious diseases. An individual with a strong commitment and innovative mindset. Have the ability to work on diverse projects such as regenerative and molecular medicine with an overall mindset of improving healthcare.",institutionString:"DY Patil Deemed to Be University",institution:null},{id:"349288",title:"Prof.",name:"Soumya",middleName:null,surname:"Basu",slug:"soumya-basu",fullName:"Soumya Basu",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000035QxIDQA0/Profile_Picture_2022-04-15T07:47:01.jpg",biography:"Soumya Basu, Ph.D., is currently working as an Associate Professor at Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, Maharashtra, India. With 16+ years of trans-disciplinary research experience in Drug Design, development, and pre-clinical validation; 20+ research article publications in journals of repute, 9+ years of teaching experience, trained with cross-disciplinary education, Dr. Basu is a life-long learner and always thrives for new challenges.\r\nHer research area is the design and synthesis of small molecule partial agonists of PPAR-γ in lung cancer. She is also using artificial intelligence and deep learning methods to understand the exosomal miRNA’s role in cancer metastasis. Dr. Basu is the recipient of many awards including the Early Career Research Award from the Department of Science and Technology, Govt. of India. She is a reviewer of many journals like Molecular Biology Reports, Frontiers in Oncology, RSC Advances, PLOS ONE, Journal of Biomolecular Structure & Dynamics, Journal of Molecular Graphics and Modelling, etc. She has edited and authored/co-authored 21 journal papers, 3 book chapters, and 15 abstracts. She is a Board of Studies member at her university. She is a life member of 'The Cytometry Society”-in India and 'All India Cell Biology Society”- in India.",institutionString:"Dr. D.Y. Patil Vidyapeeth, Pune",institution:{name:"Dr. D.Y. Patil Vidyapeeth, Pune",country:{name:"India"}}},{id:"354817",title:"Dr.",name:"Anubhab",middleName:null,surname:"Mukherjee",slug:"anubhab-mukherjee",fullName:"Anubhab Mukherjee",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y0000365PbRQAU/ProfilePicture%202022-04-15%2005%3A11%3A18.480",biography:"A former member of Laboratory of Nanomedicine, Brigham and Women’s Hospital, Harvard University, Boston, USA, Dr. Anubhab Mukherjee is an ardent votary of science who strives to make an impact in the lives of those afflicted with cancer and other chronic/acute ailments. He completed his Ph.D. from CSIR-Indian Institute of Chemical Technology, Hyderabad, India, having been skilled with RNAi, liposomal drug delivery, preclinical cell and animal studies. He pursued post-doctoral research at College of Pharmacy, Health Science Center, Texas A & M University and was involved in another postdoctoral research at Department of Translational Neurosciences and Neurotherapeutics, John Wayne Cancer Institute, Santa Monica, California. In 2015, he worked in Harvard-MIT Health Sciences & Technology as a visiting scientist. He has substantial experience in nanotechnology-based formulation development and successfully served various Indian organizations to develop pharmaceuticals and nutraceutical products. He is an inventor in many US patents and an author in many peer-reviewed articles, book chapters and books published in various media of international repute. Dr. Mukherjee is currently serving as Principal Scientist, R&D at Esperer Onco Nutrition (EON) Pvt. Ltd. and heads the Hyderabad R&D center of the organization.",institutionString:"Esperer Onco Nutrition Pvt Ltd.",institution:null},{id:"319365",title:"Assistant Prof.",name:"Manash K.",middleName:null,surname:"Paul",slug:"manash-k.-paul",fullName:"Manash K. Paul",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/319365/images/system/319365.png",biography:"Manash K. Paul is a scientist and Principal Investigator at the University of California Los Angeles. He has contributed significantly to the fields of stem cell biology, regenerative medicine, and lung cancer. His research focuses on various signaling processes involved in maintaining stem cell homeostasis during the injury-repair process, deciphering the lung stem cell niche, pulmonary disease modeling, immuno-oncology, and drug discovery. He is currently investigating the role of extracellular vesicles in premalignant lung cell migration and detecting the metastatic phenotype of lung cancer via artificial intelligence-based analyses of exosomal Raman signatures. Dr. Paul also works on spatial multiplex immunofluorescence-based tissue mapping to understand the immune repertoire in lung cancer. Dr. Paul has published in more than sixty-five peer-reviewed international journals and is highly cited. He is the recipient of many awards, including the UCLA Vice Chancellor’s award and the 2022 AAISCR-R Vijayalaxmi Award for Innovative Cancer Research. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and an editorial board member for several international journals.",institutionString:"University of California Los Angeles",institution:{name:"University of California Los Angeles",country:{name:"United States of America"}}},{id:"311457",title:"Dr.",name:"Júlia",middleName:null,surname:"Scherer Santos",slug:"julia-scherer-santos",fullName:"Júlia Scherer Santos",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/311457/images/system/311457.jpg",biography:"Dr. Júlia Scherer Santos works in the areas of cosmetology, nanotechnology, pharmaceutical technology, beauty, and aesthetics. Dr. Santos also has experience as a professor of graduate courses. Graduated in Pharmacy, specialization in Cosmetology and Cosmeceuticals applied to aesthetics, specialization in Aesthetic and Cosmetic Health, and a doctorate in Pharmaceutical Nanotechnology. Teaching experience in Pharmacy and Aesthetics and Cosmetics courses. She works mainly on the following subjects: nanotechnology, cosmetology, pharmaceutical technology, aesthetics.",institutionString:"Universidade Federal de Juiz de Fora",institution:{name:"Universidade Federal de Juiz de Fora",country:{name:"Brazil"}}},{id:"219081",title:"Dr.",name:"Abdulsamed",middleName:null,surname:"Kükürt",slug:"abdulsamed-kukurt",fullName:"Abdulsamed Kükürt",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/219081/images/system/219081.png",biography:"Dr. Kükürt graduated from Uludağ University in Turkey. He started his academic career as a Research Assistant in the Department of Biochemistry at Kafkas University. In 2019, he completed his Ph.D. program in the Department of Biochemistry at the Institute of Health Sciences. He is currently working at the Department of Biochemistry, Kafkas University. He has 27 published research articles in academic journals, 11 book chapters, and 37 papers. He took part in 10 academic projects. He served as a reviewer for many articles. He still serves as a member of the review board in many academic journals. He is currently working on the protective activity of phenolic compounds in disorders associated with oxidative stress and inflammation.",institutionString:null,institution:{name:"Kafkas University",country:{name:"Turkey"}}},{id:"178366",title:"Dr.",name:"Volkan",middleName:null,surname:"Gelen",slug:"volkan-gelen",fullName:"Volkan Gelen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/178366/images/system/178366.jpg",biography:"Volkan Gelen is a Physiology specialist who received his veterinary degree from Kafkas University in 2011. Between 2011-2015, he worked as an assistant at Atatürk University, Faculty of Veterinary Medicine, Department of Physiology. In 2016, he joined Kafkas University, Faculty of Veterinary Medicine, Department of Physiology as an assistant professor. Dr. Gelen has been engaged in various academic activities at Kafkas University since 2016. There he completed 5 projects and has 3 ongoing projects. He has 60 articles published in scientific journals and 20 poster presentations in scientific congresses. His research interests include physiology, endocrine system, cancer, diabetes, cardiovascular system diseases, and isolated organ bath system studies.",institutionString:"Kafkas University",institution:{name:"Kafkas University",country:{name:"Turkey"}}},{id:"418963",title:"Dr.",name:"Augustine Ododo",middleName:"Augustine",surname:"Osagie",slug:"augustine-ododo-osagie",fullName:"Augustine Ododo Osagie",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/418963/images/16900_n.jpg",biography:"Born into the family of Osagie, a prince of the Benin Kingdom. I am currently an academic in the Department of Medical Biochemistry, University of Benin. Part of the duties are to teach undergraduate students and conduct academic research.",institutionString:null,institution:{name:"University of Benin",country:{name:"Nigeria"}}},{id:"192992",title:"Prof.",name:"Shagufta",middleName:null,surname:"Perveen",slug:"shagufta-perveen",fullName:"Shagufta Perveen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/192992/images/system/192992.png",biography:"Prof. Shagufta Perveen is a Distinguish Professor in the Department of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia. Dr. Perveen has acted as the principal investigator of major research projects funded by the research unit of King Saud University. She has more than ninety original research papers in peer-reviewed journals of international repute to her credit. She is a fellow member of the Royal Society of Chemistry UK and the American Chemical Society of the United States.",institutionString:"King Saud University",institution:{name:"King Saud University",country:{name:"Saudi Arabia"}}},{id:"49848",title:"Dr.",name:"Wen-Long",middleName:null,surname:"Hu",slug:"wen-long-hu",fullName:"Wen-Long Hu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49848/images/system/49848.jpg",biography:"Wen-Long Hu is Chief of the Division of Acupuncture, Department of Chinese Medicine at Kaohsiung Chang Gung Memorial Hospital, as well as an adjunct associate professor at Fooyin University and Kaohsiung Medical University. Wen-Long is President of Taiwan Traditional Chinese Medicine Medical Association. He has 28 years of experience in clinical practice in laser acupuncture therapy and 34 years in acupuncture. He is an invited speaker for lectures and workshops in laser acupuncture at many symposiums held by medical associations. He owns the patent for herbal preparation and producing, and for the supercritical fluid-treated needle. Dr. Hu has published three books, 12 book chapters, and more than 30 papers in reputed journals, besides serving as an editorial board member of repute.",institutionString:"Kaohsiung Chang Gung Memorial Hospital",institution:{name:"Kaohsiung Chang Gung Memorial Hospital",country:{name:"Taiwan"}}},{id:"298472",title:"Prof.",name:"Andrey V.",middleName:null,surname:"Grechko",slug:"andrey-v.-grechko",fullName:"Andrey V. Grechko",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/298472/images/system/298472.png",biography:"Andrey Vyacheslavovich Grechko, Ph.D., Professor, is a Corresponding Member of the Russian Academy of Sciences. He graduated from the Semashko Moscow Medical Institute (Semashko National Research Institute of Public Health) with a degree in Medicine (1998), the Clinical Department of Dermatovenerology (2000), and received a second higher education in Psychology (2009). Professor A.V. Grechko held the position of Сhief Physician of the Central Clinical Hospital in Moscow. He worked as a professor at the faculty and was engaged in scientific research at the Medical University. Starting in 2013, he has been the initiator of the creation of the Federal Scientific and Clinical Center for Intensive Care and Rehabilitology, Moscow, Russian Federation, where he also serves as Director since 2015. He has many years of experience in research and teaching in various fields of medicine, is an author/co-author of more than 200 scientific publications, 13 patents, 15 medical books/chapters, including Chapter in Book «Metabolomics», IntechOpen, 2020 «Metabolomic Discovery of Microbiota Dysfunction as the Cause of Pathology».",institutionString:"Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology",institution:null},{id:"199461",title:"Prof.",name:"Natalia V.",middleName:null,surname:"Beloborodova",slug:"natalia-v.-beloborodova",fullName:"Natalia V. Beloborodova",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/199461/images/system/199461.jpg",biography:'Natalia Vladimirovna Beloborodova was educated at the Pirogov Russian National Research Medical University, with a degree in pediatrics in 1980, a Ph.D. in 1987, and a specialization in Clinical Microbiology from First Moscow State Medical University in 2004. She has been a Professor since 1996. Currently, she is the Head of the Laboratory of Metabolism, a division of the Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russian Federation. N.V. Beloborodova has many years of clinical experience in the field of intensive care and surgery. She studies infectious complications and sepsis. She initiated a series of interdisciplinary clinical and experimental studies based on the concept of integrating human metabolism and its microbiota. Her scientific achievements are widely known: she is the recipient of the Marie E. Coates Award \\"Best lecturer-scientist\\" Gustafsson Fund, Karolinska Institutes, Stockholm, Sweden, and the International Sepsis Forum Award, Pasteur Institute, Paris, France (2014), etc. Professor N.V. Beloborodova wrote 210 papers, five books, 10 chapters and has edited four books.',institutionString:"Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology",institution:null},{id:"354260",title:"Ph.D.",name:"Tércio Elyan",middleName:"Azevedo",surname:"Azevedo Martins",slug:"tercio-elyan-azevedo-martins",fullName:"Tércio Elyan Azevedo Martins",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/354260/images/16241_n.jpg",biography:"Graduated in Pharmacy from the Federal University of Ceará with the modality in Industrial Pharmacy, Specialist in Production and Control of Medicines from the University of São Paulo (USP), Master in Pharmaceuticals and Medicines from the University of São Paulo (USP) and Doctor of Science in the program of Pharmaceuticals and Medicines by the University of São Paulo. Professor at Universidade Paulista (UNIP) in the areas of chemistry, cosmetology and trichology. Assistant Coordinator of the Higher Course in Aesthetic and Cosmetic Technology at Universidade Paulista Campus Chácara Santo Antônio. Experience in the Pharmacy area, with emphasis on Pharmacotechnics, Pharmaceutical Technology, Research and Development of Cosmetics, acting mainly on topics such as cosmetology, antioxidant activity, aesthetics, photoprotection, cyclodextrin and thermal analysis.",institutionString:null,institution:{name:"University of Sao Paulo",country:{name:"Brazil"}}},{id:"334285",title:"Ph.D. Student",name:"Sameer",middleName:"Kumar",surname:"Jagirdar",slug:"sameer-jagirdar",fullName:"Sameer Jagirdar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/334285/images/14691_n.jpg",biography:"I\\'m a graduate student at the center for biosystems science and engineering at the Indian Institute of Science, Bangalore, India. I am interested in studying host-pathogen interactions at the biomaterial interface.",institutionString:null,institution:{name:"Indian Institute of Science Bangalore",country:{name:"India"}}},{id:"329248",title:"Dr.",name:"Md. Faheem",middleName:null,surname:"Haider",slug:"md.-faheem-haider",fullName:"Md. Faheem Haider",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/329248/images/system/329248.jpg",biography:"Dr. Md. Faheem Haider completed his BPharm in 2012 at Integral University, Lucknow, India. In 2014, he completed his MPharm with specialization in Pharmaceutics at Babasaheb Bhimrao Ambedkar University, Lucknow, India. He received his Ph.D. degree from Jamia Hamdard University, New Delhi, India, in 2018. He was selected for the GPAT six times and his best All India Rank was 34. Currently, he is an assistant professor at Integral University. Previously he was an assistant professor at IIMT University, Meerut, India. He has experience teaching DPharm, Pharm.D, BPharm, and MPharm students. He has more than five publications in reputed journals to his credit. Dr. Faheem’s research area is the development and characterization of nanoformulation for the delivery of drugs to various organs.",institutionString:"Integral University",institution:{name:"Integral University",country:{name:"India"}}},{id:"329795",title:"Dr.",name:"Mohd Aftab",middleName:"Aftab",surname:"Siddiqui",slug:"mohd-aftab-siddiqui",fullName:"Mohd Aftab Siddiqui",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/329795/images/system/329795.png",biography:"Dr. Mohd Aftab Siddiqui is an assistant professor in the Faculty of Pharmacy, Integral University, Lucknow, India, where he obtained a Ph.D. in Pharmacology in 2020. He also obtained a BPharm and MPharm from the same university in 2013 and 2015, respectively. His area of research is the pharmacological screening of herbal drugs/natural products in liver cancer and cardiac diseases. He is a member of many professional bodies and has guided many MPharm and PharmD research projects. Dr. Siddiqui has many national and international publications and one German patent to his credit.",institutionString:"Integral University",institution:null}]}},subseries:{item:{id:"8",type:"subseries",title:"Bioinspired Technology and Biomechanics",keywords:"Bioinspired Systems, Biomechanics, Assistive Technology, Rehabilitation",scope:'Bioinspired technologies take advantage of understanding the actual biological system to provide solutions to problems in several areas. Recently, bioinspired systems have been successfully employing biomechanics to develop and improve assistive technology and rehabilitation devices. The research topic "Bioinspired Technology and Biomechanics" welcomes studies reporting recent advances in bioinspired technologies that contribute to individuals\' health, inclusion, and rehabilitation. Possible contributions can address (but are not limited to) the following research topics: Bioinspired design and control of exoskeletons, orthoses, and prostheses; Experimental evaluation of the effect of assistive devices (e.g., influence on gait, balance, and neuromuscular system); Bioinspired technologies for rehabilitation, including clinical studies reporting evaluations; Application of neuromuscular and biomechanical models to the development of bioinspired technology.',coverUrl:"https://cdn.intechopen.com/series_topics/covers/8.jpg",hasOnlineFirst:!0,hasPublishedBooks:!0,annualVolume:11404,editor:{id:"144937",title:"Prof.",name:"Adriano",middleName:"De Oliveira",surname:"Andrade",slug:"adriano-andrade",fullName:"Adriano Andrade",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRC8QQAW/Profile_Picture_1625219101815",biography:"Dr. Adriano de Oliveira Andrade graduated in Electrical Engineering at the Federal University of Goiás (Brazil) in 1997. He received his MSc and PhD in Biomedical Engineering respectively from the Federal University of Uberlândia (UFU, Brazil) in 2000 and from the University of Reading (UK) in 2005. He completed a one-year Post-Doctoral Fellowship awarded by the DFAIT (Foreign Affairs and International Trade Canada) at the Institute of Biomedical Engineering of the University of New Brunswick (Canada) in 2010. Currently, he is Professor in the Faculty of Electrical Engineering (UFU). He has authored and co-authored more than 200 peer-reviewed publications in Biomedical Engineering. He has been a researcher of The National Council for Scientific and Technological Development (CNPq-Brazil) since 2009. He has served as an ad-hoc consultant for CNPq, CAPES (Coordination for the Improvement of Higher Education Personnel), FINEP (Brazilian Innovation Agency), and other funding bodies on several occasions. He was the Secretary of the Brazilian Society of Biomedical Engineering (SBEB) from 2015 to 2016, President of SBEB (2017-2018) and Vice-President of SBEB (2019-2020). He was the head of the undergraduate program in Biomedical Engineering of the Federal University of Uberlândia (2015 - June/2019) and the head of the Centre for Innovation and Technology Assessment in Health (NIATS/UFU) since 2010. He is the head of the Postgraduate Program in Biomedical Engineering (UFU, July/2019 - to date). He was the secretary of the Parkinson's Disease Association of Uberlândia (2018-2019). Dr. Andrade's primary area of research is focused towards getting information from the neuromuscular system to understand its strategies of organization, adaptation and controlling in the context of motor neuron diseases. 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