Results of various features extracted from the IMFs.
\\n\\n
IntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\\n\\nBy listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
\\n\\nAll three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\\n\\n"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
\\n\\n"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
\\n\\nIn conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\\n\\n“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\\n\\nWe invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\\n\\nFeel free to share this news on social media and help us mark this memorable moment!
\\n\\n\\n"}]',published:!0,mainMedia:{caption:"",originalUrl:"/media/original/237"}},components:[{type:"htmlEditorComponent",content:'
After years of being acknowledged as the world's leading publisher of Open Access books, today, we are proud to announce we’ve successfully launched a portfolio of Open Science journals covering rapidly expanding areas of interdisciplinary research.
\n\n\n\nIntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\n\nBy listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
\n\nAll three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\n\n"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
\n\n"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
\n\nIn conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\n\n“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\n\nWe invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\n\nFeel free to share this news on social media and help us mark this memorable moment!
\n\n\n'}],latestNews:[{slug:"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:"3448",leadTitle:null,fullTitle:"Cardiomyopathies",title:"Cardiomyopathies",subtitle:null,reviewType:"peer-reviewed",abstract:"The disease of the heart muscle may occur secondarily to common diseases, such as ischemic, hypertensive and valvular, among others. However, there is a group of conditions with intrinsic myocardial involvement from gene or multifactorial etiology, and high morbidity and mortality that represent a diagnostic and therapeutic challenge for the physician. The book is focused on these cardiomyopathies, its features, its pathophysiology and its relation to sudden death. Mention is made also on general aspects, like ecocardiographic findings and myocardial contractile reserve, specific as pathophysiology and molecular mechanisms and cardiomyopathies in special populations. Special attention was deserved to cardiomyopathies in pediatrics, diabetic patients and women, as well as to the cases of chronic heart failure and dilated cardiomyopathy.",isbn:null,printIsbn:"978-953-51-1103-0",pdfIsbn:"978-953-51-7161-4",doi:"10.5772/56744",price:139,priceEur:155,priceUsd:179,slug:"cardiomyopathies",numberOfPages:332,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"14e523d26bcbfdfa95c3e0e11c806cb3",bookSignature:"José Milei and Giuseppe Ambrosio",publishedDate:"June 12th 2013",coverURL:"https://cdn.intechopen.com/books/images_new/3448.jpg",numberOfDownloads:28313,numberOfWosCitations:9,numberOfCrossrefCitations:7,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:15,numberOfDimensionsCitationsByBook:0,hasAltmetrics:0,numberOfTotalCitations:31,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"May 8th 2012",dateEndSecondStepPublish:"May 29th 2012",dateEndThirdStepPublish:"October 15th 2012",dateEndFourthStepPublish:"December 1st 2012",dateEndFifthStepPublish:"February 4th 2013",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"43176",title:"Prof.",name:"Jose",middleName:null,surname:"Milei",slug:"jose-milei",fullName:"Jose Milei",profilePictureURL:"https://mts.intechopen.com/storage/users/43176/images/3785_n.jpg",biography:"José Milei is Ph.D., M.D., Professor of Internal Medicine and Director of the Institute of Cardiological Investigations (ININCA) 'Prof. Dr. A. C. Taquini” at the University of Buenos Aires (UBA) and the National Research Council for Science and Technology (CONICET), Argentina. His thesis about the effects of isoproterenol on myocardium was published in Am Heart J in 1976 and has been extensively cited as well as his investigations in the ’80 in NIH, National Heart, Lung and Blood Institute, USA under the guidance of his mentor, Victor Ferrans. Member of the Argentine Society of Cardiology from 1975, has developed an extensive societary activity. Professor Milei is Chairman of the Module of Cardiology and Hypertension at the Argentine Medical Association devoted to South American general practitioners´ training. His research on Chagas’ cardiomyopathy substantially contributed to the knowledge of its pathophysiology and his work on early atherosclerotic lesions helped set up the basis for the importance of intimal thickenings in plaque genesis. He has authored over 140 papers in peer review journals, 4 books and over 10 invited chapters in books of cardiology. He is scientific advisor to University of Buenos Aires and Director of the Doctoral Department of the Northwest University in Argentina. His treaty on Chagas’ disease is a referent book in the last 20 years.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"4",totalChapterViews:"0",totalEditedBooks:"2",institution:{name:"University of Buenos Aires",institutionURL:null,country:{name:"Argentina"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:{id:"167088",title:"Prof.",name:"Giuseppe",middleName:null,surname:"Ambrosio",slug:"giuseppe-ambrosio",fullName:"Giuseppe Ambrosio",profilePictureURL:"https://mts.intechopen.com/storage/users/167088/images/5491_n.jpg",biography:"Giuseppe Ambrosio, M.D., Ph.D, is the Professor of Cardiology and the Director of the Division of Cardiology at the University of Perugia in Italy, as well as Professor Honorario at the Instituto de Investigaciones Cardiológicas “Alberto C. 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He is the member of the editorial boards of many International Journals and an active member of various committees \nof major International Cardiological Societies.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Azienda Ospedaliera di Perugia",institutionURL:null,country:{name:"Italy"}}},coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"985",title:"Cardiogeriatrics",slug:"cardiogeriatrics"}],chapters:[{id:"44904",title:"Echocardiography Findings in Common Primary and Secondary Cardiomyopathies",doi:"10.5772/55036",slug:"echocardiography-findings-in-common-primary-and-secondary-cardiomyopathies",totalDownloads:3426,totalCrossrefCites:2,totalDimensionsCites:2,hasAltmetrics:0,abstract:null,signatures:"Gohar Jamil, Ahmed Abbas, Abdullah Shehab and Anwer Qureshi",downloadPdfUrl:"/chapter/pdf-download/44904",previewPdfUrl:"/chapter/pdf-preview/44904",authors:[{id:"72162",title:"Dr.",name:"Abdullah",surname:"Shehab",slug:"abdullah-shehab",fullName:"Abdullah Shehab"},{id:"136333",title:"Dr.",name:"Anwer",surname:"Qureshi",slug:"anwer-qureshi",fullName:"Anwer Qureshi"},{id:"167409",title:"Dr.",name:"Gohar",surname:"Jamil",slug:"gohar-jamil",fullName:"Gohar Jamil"},{id:"167411",title:"Dr.",name:"Ahmed",surname:"Abbas",slug:"ahmed-abbas",fullName:"Ahmed Abbas"}],corrections:null},{id:"44898",title:"Left Ventricular Twist in Cardiomyopathy",doi:"10.5772/55281",slug:"left-ventricular-twist-in-cardiomyopathy",totalDownloads:1973,totalCrossrefCites:0,totalDimensionsCites:4,hasAltmetrics:0,abstract:null,signatures:"B.M. van Dalen and M.L. 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Seizures are characterized as unexpected, unprovoked and uncontrolled explosion of electrical impulses in brain [1]. During the seizure, the patient may experiences changes in behavior, loss of consciousness, unusual movements and unusual feelings [2, 3]. The recurrent and unprovoked seizure leads to epilepsy disorder which is a prevalent neurological disorder. Epilepsy disorder will tamper the patients way of life with social stigma, work productivity lose and premature death [4].
Electroencephalogram (EEG) is one of the traditional and easiest tool for the identification and diagnosis of seizures [5]. The availability of EEG for common people within their budgetary limits made it a typical method. Due to the sophisticated nature of brain system, the EEG signals acquired from the brain are also complicated. Automated analysis of EEG signals using modern signal processing techniques might be effortless and precise for the diagnosis of seizures rather than manual approach [6].
Out of modern signal processing techniques, empirical mode decomposition (EMD) is one of the widely used techniques for the efficient interpretation of signals and images. After the introduction of EMD by Huang [7] in 1998, several studies utilized the EMD for various applications. In Nunes et al. [8] used the EMD for texture analysis and image filtering. They have used bi-dimensional EMD in their method. In another work Zeng et al. [9] applied EMD for the effective classification of gait patterns between patients with Parkinson disease and healthy subjects. In another work Hasan et al. [10] combined the deep learning methods with EMD to classify cardiovascular disease. Xiwei et al. [11] utilized the advantages of EMD in a wind speed prediction model, in which, authors used EMD for the extraction of fluctuation features of wind speed data. Another important study by Thilagaraj et al. [12] also used EMD for the identification of alcoholism.
The usefulness of the empirical mode composition for the effective understanding of the EEG signal is proven in many works in the literature. In [13], authors classified the level of autism severity from EEG with the help of EMD. They have used artificial neural network for the classification of extracted feature from intrinsic mode functions (IMFs). Two-class motor imagery EEG signals are classified in another important study based on EMD [14]. Similarly Gaur et al. [15] used multivariate empirical mode decomposition for the effective classification of multi-class BCI by analyzing EEG signals.
In this work, we have studied the effectiveness of empirical mode decomposition for the classification of seizures by analyzing EEG signals. The filtered EEG signals are segmented into 10 non-overlapping segments and decomposed into IMFs using EMD. First four IMFs are used for the feature extraction. Various features such as approximate entropy, sample entropy, Shannon entropy, Rényi entropy, exponential energy, fractal dimensional features and statistical features (mean, standard deviation and energy) are extracted from the IMFs. Support vector machine (SVM) with RBF kernel is used for classifying the seizure.
The remaining sections of the paper are as follows. A short description of EMD and algorithm is explained in Section 2. Section 3 explains the details of the dataset used in this study and in Section 4; various feature extraction methods are mentioned. In Section 5 experimental setup and results are explained. A detailed discussion of achieved results is given in Section 6 and Section 7 concludes the paper.
Empirical mode decomposition is a data-driven decomposition method proposed by Huang et al. for the analysis of nonlinear and non-stationary data [7], which will decomposes the signal into finite and smaller number of intrinsic mode functions (IMFs). A non-stationary signal can be represented as sum of IMFs and each IMFs should follow two conditions: (1) the number of extrema and number of zero crossing of the IMFs should be equal or differ at most by one and (2) the mean value of two envelopes defined by local maxima and local minima should be zero [16].
IMFs can be extracted from a signal through a iterative method known as shifting process as follows:
Use cubic spline interpolation method to construct upper (
Calculate the mean
Extract the difference
Check whether
if
The next IMFs can be obtained by generating residue
Iteration will stop when final residue is a function which cannot produce any more IMFs or final residue is constant/monotonic function.
The original signal can be represented as the sum of all IMFs and final residual.
where
A benchmark data set named as Bern-Barcelona EEG dataset is used in this study. The dataset includes two class EEG signals such as focal and non-focal. Each class contains 3750 pairs of signals. EEG signals in the focal class are collected from the epileptic area of the brain and non-focal signals are collected from non-epileptic area of the brain. The signals are 20 s duration with 10,240 samples in each. The signals are sampled at 512 Hz sampling rate. In our study we have used 50 signals from each class as did in many other studies [17, 18, 19].
Feature extraction is one of the important tasks in any machine learning application. An effective and unbiased feature will provide the best results. There are several features, which are traditionally used for various EEG related studies.
Entropy features are widely used for the analysis of various non-stationary bio-signals [20, 21, 22]. Different verities of entropy are introduced in past years. In this work we have used four verities of entropy features, namely approximate entropy (ApEn), sample entropy (SmEn), Shannon entropy (ShEn) and Rényi entropy (RnEn). Among considered entropy features, approximate entropy introduced by Pincus [23] is a good measure of complexity for non-stationary signals. One of the study proposed by Hozinger et al. [24], extracted approximate entropy from ECG time-series for better understanding of electrocardiogram (ECG) signals. Another study by Ahmed et al. [25] utilized approximate entropy for surface electromyogram (EMG) signal classification. Similar to [24], they also extracted approximate entropy from direct signals with no transformation. Also, other entropy measures such as sample entropy [27, 28, 29], Shannon entropy [30, 31] and Rényi entropy [32, 33] are used in many studies.
Fractal dimension based feature are also got wide attention of researchers in recent years. The fractal dimensions are better measures of complexity of a non-linear or non-stationary data [35]. In this work we extracted three different fractal dimension features such as Petrosian fractal dimension, Higuchi fractal dimension and Katz fractal dimension. These measures are used in various EEG related studies in the literature. In a study of drowsiness detection [36], authors extracted Petrosian and Higuchi fractal dimensions from EEG time domain signals. Similarly in another work, Acharya et al. [37] extracted Katz fractal dimension with other features for the classification of various sleep stages. We have also extracted one of the newly introduced feature, namely exponential energy by Fasil and Rajesh [26]. Some of the statistical features (mean, standard deviation and energy) are also tested in this work.
In this work, seizure EEG signals and non-seizure EEG signals are classified by decomposing the EEG signal into IMFs using empirical mode decomposition. The frequencies beyond 60 Hz are irrelevant in the EEG analysis due to the non-availability of proper information in higher frequencies [34]. A sixth order butter-worth filter is used to remove frequencies beyond 60 Hz. The signals are further segmented into 10 non-overlapping segments. Empirical mode decomposition is applied on the segmented EEG signals and first four IMFs are obtained. Feature are extracted from four IMFs and averaged across the segments. Support vector machine with RBF kernel is used for the classification task. An overall diagram of the work is given in Figure 1.
Block diagram of the proposed seizure classification method.
The empirical mode decomposition produces six IMFs in total, though we have considered only first four IMFs. The reason behind this selection procedure is the non-availability of useful information in last IMFs. In this work we have extracted various features such as approximate entropy (ApEn), sample entropy (SmEn), Shannon entropy (ShEn), Rényi entropy (RnEn), Petrosian fractal dimension, Higuchi fractal dimension, Katz fractal dimension, exponential energy from four IMFs and statistical feature (mean, standard deviation and energy).
Sample focal EEG signal and IMFs obtained from focal EEG signals are shown in Figure 2. Similarly sample non-focal EEG signal and IMFs obtained from non-focal EEG signals are shown in Figure 3.
Focal EEG signals and six IMFs obtained from focal EEG signal.
Non-focal EEG signals and six IMFs obtained from non-focal EEG signal.
Each record in the dataset contains a pair of signals denoted as ‘
We have used k-fold cross-validation with
Feature | Accuracy (%) | Sensitivity (%) | Specificity (%) |
---|---|---|---|
Shannon entropy | 58 | 26 | 90 |
Statistical features | 68 | 54 | 82 |
Higuchi fractal dimension | 71 | 72 | 70 |
Sample entropy | 73 | 83 | 60 |
Approximate entropy | 75 | 82 | 68 |
Petrosian fractal dimension | 75 | 68 | 82 |
Rényi entropy | 79 | 82 | 76 |
Katz fractal dimension | 80 | 88 | 72 |
Exponential energy | 84 | 84 | 84 |
Results of various features extracted from the IMFs.
The results in Table 1 indicates that the features extracted from the IMFs of empirical mode decomposition gives promising results. Among the tested features, exponential energy feature provided better accuracy with 84%. A box-plot of extracted exponential energy is shown in Figure 4. Katz Fractal Dimension also provides better accuracy of 80% followed by Rényi entropy with 79%. Statistical features and Shannon entropy gives less accuracy out of all. It is noted that Shannon entropy giving very low sensitivity value and very high specificity, which indicates that more number of seizure signals are miss-classified as non-seizure signals.
Boxplot of the extracted exponential energy feature of four IMFs of focal (green color box, labeled as F_IMF) and non-focal (blue color box, labeled as NF_IMF) EEG signals.
The study of EEG signals using empirical mode decomposition (EMD) gives an insight into the effectiveness of EMD method to analyze EEG signal for seizure classification. The features (includes four types of entropy features, three types of fractal dimensions, statistical features and exponential energy) considered in this work, produces better classification accuracy when it is extracted from decomposed IMFs.
Empirical mode decomposition method decomposes the signals into various intrinsic mode functions (IMFs). Since, IMFs carries more detailed information of a signal, the features extracted from these IMFs leads to better classification.
Similar to EMD, discrete wavelet transformation (DWT) is a method, which decomposes the signal into various sub-bands [38, 39, 40, 42]. Many EEG related studies used DWT method for various analysis. Li et al. [41] combined DWT method with envelope analysis for the effective feature extraction to classify epileptic signal. In another work, Kumar et al. [42] extracted fuzzy entropy from the sub-bands of DWT for seizure detection. Similarly Liu et al. [43], Mohammadi et al. [44] and Silveira et al. [45] also used DWT method to analyze EEG signals for various purposes. Though, EMD is more better than the DWT method.
A comparison of EMD method with DWT is also carried out in this work. The same features which are extracted from the IMFs are also extracted from the DWT sub-bands and classified with same classifier. A bar chart of the comparison of classification accuracy is given in Figure 5. The comparison results show that the EMD based feature produces better classification results than DWT based features. EMD based method produced an average accuracy of 73.66%. In case of DWT the average accuracy is 68%. Although, DWT methods shows a slight improvements in results for approximate entropy and Shannon entropy features.
A comparison of classification accuracy between empirical mode decomposition (EMD) and discrete wavelet transform (DWT). Red dashed vertical line indicates the average accuracy of all DWT features and green dashed vertical line indicates the average accuracy of all EMD features.
Among various entropy features, EMD-Rényi combination (79% accuracy) provides higher classification accuracy. Approximate entropy extracted from IMFs produced an accuracy of 75%. Shannon entropy with EMD is not a good choice of feature for epileptic seizure detection. The classification accuracy produced by Shannon entropy is only 58%. Complexity of EEG data is the reason for less percentage of accuracy.
Three fractal dimensions (Petrosian fractal dimension, Higuchi fractal dimension, Katz fractal dimension) used in this work also produce promising results when they are extracted from IMFs. In this study, EMD based Katz fractal dimension produces higher (80%) classification accuracy than Petrosian (75%) fractal dimension and Higuchi (71%) fractal dimension.
EMD based statistical features did not produce promising results for classification of epileptic EEG signals. But the results are comparatively better than the features from time domain and DWT domain. The highest classification accuracy (84%) reported in this study is with newly introduced exponential energy feature by Fasil and Rajesh [26]. Exponential energy feature utilizes the detailed information available in IMFs to classify epileptic EEG signals effectively. The achieved results show the effectiveness of empirical mode decomposition (EMD) as major step in epilepsy classification.
The scope of the empirical mode decomposition of EEG signals in effectual classification of seizure is studied in this work. Four intrinsic mode functions (IMFs) are obtained by applying EMD on filtered EEG signals. Widely used features such as entropy features, fractal dimension features, statistical features and exponential energy features are extracted and its discriminating power is studied. SVM with RBF kernel is used for the classification task. Exponential energy feature provided better results for the seizure classification.
Seizure identification is a challenging and risk bearing activity, which require better accuracy. In future, authors will concentrate on improving the results by incorporating other signal transformation methods with EMD.
Authors declare no conflict of interest.
The principles of Green Chemistry consist of 12 aspects, including [1, 2, 3, 4, 5]:
Pollution Prevention/Waste minimization,
Atom Economy,
Less Hazardous Chemical Synthesis.
Designing Safer Chemicals,
Safer Solvents and Auxiliaries,
Design for Energy Efficiency,
Use of Renewable Feedstocks,
Reduce Derivatives,
Catalysis,
Design for Degradation,
Real-time analysis for Pollution Prevention, and.
Inherently Safer Chemistry for Accident Prevention.
Principle no.1 refers that chemical pollution in the environment has to be prevented by minimizing waste from industrial production, chemical analysis laboratories, hospital activities, and many others. Some believe that it is better to prevent waste generation than to treat or clean up waste after it has been generated.
In principle no.2, it is presented that synthetic methods should be designed to maximize the incorporation of all materials used in the process into the final product. Hence no waste or minimum waste has resulted.
Principle no.3 suggests that whenever practicable, synthetic methodologies should be designed to use and generate substances that possess little or no toxicity to human health and the environment.
Based on principle no.4, it is illustrated that chemical products should be designed to preserve efficacy of the function while reducing toxicity. Green Chemists make sure that the things that we synthesize not only do what they are supposed to do, but they do it safely.
In Principle no.5, it is described that the use of auxiliary substances (solvents, separation agents, etc.) should be made unnecessary whenever possible and, when used, innocuous.
It is suggested by Principle no.6, that energy requirements should be recognized for their environmental and economic impacts and should be minimized. Synthetic methods should be conducted at ambient temperature and pressure.
Principle no.7 refers that raw material or feedstock should be renewable rather than depleting whenever technically and economically practical. Green chemists look for alternative sources for making materials. Renewable feedstocks (corn, potatoes, biomass) can be used to make many products: fuels (ethanol and bio-diesel), plastics, and more.
It is implied by principle no. 8, that unnecessary derivatization (blocking group, protection/deprotection, temporary modification of physical/chemical processes) should be avoided whenever possible.
Principle no.9 refers that in chemistry and biology, catalysis is the acceleration (increase in rate) of a chemical reaction by means of a substance, called a catalyst, which is itself not consumed by the overall reaction. Using catalysts can reduce energy, increases efficiency, and reduces by-product formation, which further generates energy efficiency and waste minimization.
Principle no.10 expresses that chemical products should be designed so that at the end of their function they do not persist in the environment and instead break down into innocuous degradation product. Design for degradation means that when green chemists design a new chemical (i.e., a pharmaceutical drug or medicine) or material (i.e., a new plastic) – they design it so that it breaks down at the end of its useful lifetime.
In principle no.11, it is messaged that real-time analysis for a chemist is the process of checking the progress of chemical reactions as it happens. Analytical methodologies need to be further developed to allow for real-time in-process monitoring and control prior to the formation of hazardous substances. Knowing when your product is “done” can save a lot of waste, time, and energy.
Principle no.12 infers that substance and the form of a substance used in a chemical process should be chosen so as to minimize the potential for chemical accidents, including releases, explosions, and fires.
The 12 principles of the Green Chemistry enable people to protect the planet from chemical threats and energy crisis, as well as to find creative ways to reduce chemical waste, conserve energy, and replace hazardous substances [2]. Hence, all human activities should be based on or considered to the all or some of the 12 principles of the Green Chemistry. Some of the activities involving chemicals are material production/synthesis, chemical analysis, and chemical pollutant removal/treatment. In this Chapter, only chemical analysis and chemical pollutant removal or treatment methods are presented.
Many chemical analysis methods are recognized that are frequently used in a variety of fields including environment, health, food, mining, even archeology [6]. The analysis of chemical methods is usually conducted for identification of a certain chemical or some chemicals as well as for determination of the chemical concentration in the sample(s) [6, 7, 8, 9, 10, 11, 12]. The chemical analysis methods widely used involve simple as well as advanced technologies [6, 7, 8, 9, 10, 11, 12]. The conventional methods usually use more chemicals and auxiliaries [11], hence further resulting in the toxic chemical waste and wastewater, which create pollution [8, 9]. In contrast, the instrumental chemical analysis methods need less chemicals but may consume more energy [9, 10, 12]. The chemical waste and wastewater and inefficient energy are opposite to the principles of the Green Chemistry, which are waste minimization or pollution prevention, safer solvents and auxiliaries, and efficient energy [8, 9].
In order to reduce chemical waste, conserve energy, and replace hazardous substances, evaluation of some chemical analysis methods is required. It is important, therefore, to recognize the chemical analysis methods that are less suitable and suitable to the principles of the Green Chemistry. The ways to make the chemical analysis methods to be green are also essential to be explored and further to be used.
In addition, a lot of human activities involving chemical processes such as industry, mining, medical, and transportation, always result in chemical waste, that can be formed as gas/particulate, liquid and solid. The chemical waste or wastewater disposed of into the environment without any proper treatment lead to serious pollution [13, 14, 15, 16, 17, 18].
The high air pollution can generate a variety of adverse health outcomes. It increases the risk of respiratory infections, heart disease, and lung cancer [13, 14]. The sources of air pollution vary from small units of cigarettes and natural sources such as volcanic activities to large volume of emissions from motor engines of automobiles and industrial activities. Both short and long-term exposure to air pollutants have been associated with health impacts. The most health-harmful pollutants – closely associated with excessive premature mortality – are fine PM2.5 particles that penetrate deep into lung passageways [14].
The serious water pollution due to the inadequately treated or treated industrial wastewater effluents may cause eutrophication in the receiving water bodies and also form a favorable condition for toxin-producing waterborne pathogens [15, 16, 17, 18]. The chemicals in wastewater usually comprise of heavy metals and organic compounds [14, 17].
The release of heavy metals into wastewater through human and industrial activities has become a major problem both for humans and aquatic lives. Some negative impacts of heavy metals on aquatic ecosystems include the death of aquatic life, algal blooms, habitat destruction from sedimentation, debris, increased water flow, and other short- and long-term toxicity from chemical contaminants [17, 18]. Severe effects on human health may include reduced growth and development, cancer, organ damage, and nervous system damage [17, 18]. Among the heavy metals, hexavalent chromium is ranked among the top sixteen toxic pollutants that have harmful effects on human health. High chromium dosage has been reported to cause damage to human kidney and the liver, and at low concentration, it causes skin irritation and ulceration. Exposure to high chromium concentration also causes cancer in the digestive tract and lungs [18].
Persistent organic pollutants (POPs) are organic compounds of anthropogenic origin that resist degradation and accumulate in the food chain, and in extreme cases, death [13, 14]. Owing to their toxicity, they can pose a threat to humans and the environment. Some of the POPs polluting water are pentachlorophenol, DDT, hexachlorocyclohexanes, hexachlorobenzene, heptachlor, polychlorinated dibenzo-p-dioxins, polycyclic aromatic hydrocarbons, polychlorinated terphenyls, polybrominated diphenylethers, polybrominated dibenzo-p-dioxins, dibenzofurans, and short-chain chlorinated paraffins [14].
Therefore, removal of chemicals from wastewater before reaching ecosystem is urgent. Many methods for waste treatment are frequently reported, including conventional and advanced methods [19, 20, 21]. The conventional methods usually need more chemicals and so that dispose of chemical waste than the advanced methods [21]. The advanced methods use more energy such as light and high temperature than the conventional methods [21].
Using many chemicals and high energy is unexpected because these against the principles of the Green Chemistry [1, 2, 3, 4, 5]. It is still necessary to expose the chemical pollutant treatment methods that do not fully follow and follow the principles of the Green Chemistry. By knowing the greener pollutant removal methods, people can choose to use them, and further can prevent the environmental pollution and energy crisis.
Under the circumstances, in the following sections, some chemical analysis and pollutant removal methods that have unsuitableness or suitableness procedures toward some of the Green Chemistry principles are described, and the ways to substitute the less green with the greener methods are also presented. The chemical analysis and pollutant removal methods discussed are presented in the table below (Table 1).
No | The methods | Function | Greenness |
---|---|---|---|
1 | Volumetric | Quantitative chemical analysis | Less |
2 | Atomic absorption spectrophotometric | Quantitative chemical analysis | Less |
3 | X-Ray Fluorescence | Quantitative chemical analysis | Green |
4 | X-Ray diffraction | Identification | Green |
5 | Fourier Transform Infrared | Identification | Green |
The chemical analysis and pollutant removal methods.
Green chemical analysis is an analysis procedure that avoids or reduces the undesirable environmental side effects of chemical analysis while preserving the classic analytical parameters of accuracy, sensitivity, selectivity, and precision [9, 10]. The goal of green analytical chemistry is to use analytical procedures that generate less hazardous waste and that are safer to use and more benign to the environment. The main analytical result is related to an increase in analysis reliability, higher precision, and time-saving, which very positively combines with a substantial reduction of waste [9, 10]. The Green chemical analysis should apply at least four Green Chemistry principles, from the 12 principles [10], which are:
waste minimization or pollution prevention or prevention of waste generation (no. 1).
safer solvents and auxiliaries (no. 5),
design for energy efficiency (no. 6), and
safer chemistry to minimize the potential of chemical accidents (no. 12).
The chemical analysis methods can be categorized into conventional and instrumental methods, which are used whether for identification and concentration determination purposes [6, 7, 11, 12]. In this section, the conventional analysis method that is evaluated regarding greenless or greenness is volumetric, since it is widely used in environmental and food fields. Meanwhile, the instrumental methods discussed are limited to atomic absorption spectrophotometric the (AAS), X-ray fluorescence (XRF) Infrared spectrometry (IR), and X-ray diffraction (XRD), due to their intensively use in various fields.
Volumetric is a chemical analysis method based on the reaction between analytes with the respective standard solution placed in a burette. This method is usually performed with large volume, and sometimes uses hazardous auxiliary. The solutions both standard and analyte, at the end of the process, become harmful wastewater. Although categorized into old or conventional method, volumetric is still frequently used as a standard method in environmental, food, and mineral analysis [8, 11].
In the environmental field, volumetric is placed as a standard method for chemical oxygen demand (COD) assay. COD level represents the quantity of organic and oxidizable inorganic chemicals polluting sample water. A commonly used oxidant in the COD assay is potassium dichromate (K2Cr2O7) in combination with boiling sulfuric acid (H2SO4) [11]. It is clear that this procedure uses the toxic and carcinogenic K2Cr2O7 and corrosive sulfuric acid as the auxiliaries, which is against the Green Chemistry Principle number 5 [1, 2, 3, 4, 5]. Further, a large volume of K2Cr2O7 and H2S2O4 solutions are usually used, which results in a large volume of the corresponded chemical wastewater. This resultant of the wastewater will advance to create environmental pollution, which clearly is not suitable to the Green Chemistry Principle number 1 (Figure 1) [1, 2, 3, 4, 5].
Titration technique [
Volumetric method is also used in food analysis, that is to determine saponification number. The saponification number represents an indication of the nature of the fatty acid’s constituent of fat in coconut oil, olive oil, and sesame oil. In this procedure, KOH or NaOH, HCl, ethanol, and ether have to be used in large volumes. The use of the corrosive NaOH/KOH will leave the poison waste, which is unsuitable with principle no 1. In addition, since the procedure also uses the hazardous solvents, the procedure is contradiction with principle no 5.
The COD measurement is essential in monitoring the environmental quality and the determination of saponification number has an important role in food quality, so greenings the procedures are required. Greening analysis methods generally can be conducted in several ways [9, 10], such as:
modifying an old method to incorporate procedures that either use less hazardous chemicals or use lesser amounts of hazardous chemicals.
developing new analytical methodologies; instrumental methods in analysis is a decrease in sample volume needed for analysis.
use of direct techniques of analysis,
i.e., different laser-spectroscopic methods
or solventless processes of analysis
In the case of COD determination, the greening procedure can be conducted by reducing the quantity or volume of the reagent or substituting the toxic reagent with the saver or less toxic one. The strong oxidant but toxic K2Cr2O7 can be substituted with KMnO4 [4]. The other way is by applying a smaller volume of the reagents, which hence results in low volume of the wastewater or minimize the wastewater. Using instrumental method to determine saponification number, such as gas chromatography [6], which is greener, is also possible.
Atomic absorption spectrophotometric (AAS) method provides concentration data of metals dissolved in the solution. Accordingly, solid samples such as soils, food, minerals, etc. have to be destructed to form a clear solution containing dissolved metal ions [12, 13].
In the AAS method, the dissolved metals have to exist in atomic form. The atomization of the metal ions requires high temperature, which can be from flame or from electric thermal, and flameless conditions [13]. In AAS method, chemicals are not required [12, 13] that can prevent waste generation, following principle no.1 [1, 2, 3, 4, 5]. It is clearly suggested that the method falls into a green chemical analysis method.
The atomization of most metal ions usually takes place at high temperature, about 2000–2500°C which can be provided by flame [13], as illustrated by Figure 2, and also can be from electric from graphite furnace. The high-temperature flame, in addition to consumes high energy also generates potential accidents, which are contrary to the principle number 6 and 12, respectively. The high electricity consumption is not in accordance to the principle no 6. It is concluded that based on the energy aspect, AAS is included as a less green method. Additionally, among the metal ions, mercury is the liquid metal at room temperature allowing it to evaporate at high temperature. Accordingly, the atomization of mercury cannot be conducted at high temperature, but to be performed by reducing it to form an atomic phase at room temperature, then called flameless atomization [13]. Accordingly, flameless AAS seems to be greener than the flame one in terms of energy efficiency.
Flame for atomization in AAS analysis.
XRF method is used for the determination of the elemental concentration, whether metals, metalloids, and non-metals. This method can be used for measuring solid, liquid, and aqueous solutions. The solid samples can be directly measured, and no needs to be prepared into the aqueous solutions, and hence no chemicals are used. Additionally, all metals, metalloids, and non-metals in the samples can be directly measured without any atomization to form elements [13]. It is clear hence that XRF is greener method than AAS to get the same information.
XRD can only be used for crystalline solid samples and that can be directly measured. In this method, chemicals are not required, avoiding it to result in waste. The samples have to be powdered with 100–250 mesh in size. The information given by this instrument is the type of crystal samples [13]. This method does not result in any chemical waste preventing environmental pollution.
However, some believe that the X-ray is a hazardous ray, but in the XRF and XRD instruments, the ray is strictly prevented to irradiate objects including people surrounding. Hence, these methods are in accordance with the principle of Green Chemistry no 12.
FTIR is a spectrophotometric method required to detect the characteristic bonds in molecules, which can further be used for the identification of the molecules. The samples analyzed can be liquid or solid. In the analysis proses, the liquid samples are placed in cuvettes, while the solid powdered is pelleted with KBr matrix [13]. This method does not need any chemicals and is operated with the low energy infrared. It is obvious that this spectrophotometric method meets the principles no. 1 and no. 6 of the green chemistry.
Human activities in hospitals, mining, variety of industries, and other fields almost always result in chemical waste and wastewater. The chemical waste can be toxic heavy metals, hazardous dyes, and persistent organic compounds. These unexpected chemicals adhere human health and ecosystem, which are essential to be treated or removed before entering the environment [14, 15, 16, 17, 18].
Several pollutant treatment/removal methods are recognized that are related to conventional and advanced technologies [20, 21, 22, 23]. The conventional methods are represented by coagulation and adsorption, and the advanced methods discussed in this chapter consist of photocatalytic -degradation and photo-oxidation, categorized into advance oxidation processes (AOPs).
Coagulation is essentially a chemical process. It is the destabilization of colloids by the addition of chemicals to neutralize the negative charges of the colloids and to consolidate suspended contaminants for easy removal from water [23, 24, 25, 26]. The chemicals are known as coagulants that fall into two categories that are inorganic and organic materials. Frequently used inorganic coagulants include aluminum sulfate, aluminum sulfate, aluminum chloride, and ferric sulfate [24]. Examples of common organic coagulants are polyamines, melamine-formaldehyde, and tannins [25]. Generally speaking, anionic coagulants are suitable to catch mineral particles, while cationic coagulants can capture organic colloids. Inorganic coagulants are usually cost-effective and can be used in a wider variety of applications [24, 25, 26]. However, the inorganic coagulants are usually health hazardous and transferred into hazardous sludge in large volume. This is used for removing particles, colloids, or oily materials in suspension. The process of coagulation is illustrated in Figure 2. From figure, it can be seen that at the end of the process, large amount of toxic sludge is produced, from the colloidal pollutant and the chemical coagulant. This sludge can be categorized as solid toxic waste. Hence coagulation is opposite to the principle of Green Chemistry no 1.
To make the method greener, the toxic solid waste has to be treated properly, such as by solidification method. In the solidification, the solid waste is mixed with limestone and cement to form a compact and stable solid. The compact and stable solid waste can be avoided from releasing into the environment (Figure 3).
Coagulation process [
Adsorption is a process that leads to transfer of a molecule or an ion from a fluid bulk to solid surface. This can occur because of physical forces or chemical bonds. In the simple term, adsorption is the attraction of ions or molecules onto the surface of a solid [27, 28]. Adsorption takes place when ions or molecules in a liquid bind themselves to the surface of a solid substance. The solids are called adsorbents, which have a very high internal surface area that permits adsorption. The adsorbent materials known are natural or synthetic zeolites, natural clay minerals, silica gel, activated aluminum, and silicic acid [28].
Adsorption is believed as a simple and effective method to remove chemical or toxic pollutants. This method is most commonly implemented for the removal of low concentration of non-degradable organic compounds from groundwater, drinking water preparation, process water or tertiary cleansing after, for example, biological water purification [28, 29].
Furthermore, green adsorbents have also been developed, including bio sorbents prepared from Andean Sacha inchi (Plukenetia volubilis L.) shell biomass [30] and agricultural waste [31]. The adsorbents were prepared from the waste that are hazardous material free and low cost. It is obvious that such adsorbents well agree with the Green Chemistry principle no. 1, no. 3, and no. 5.
The adsorbents are usually non-toxic and low-cost materials. However, after a period of time (from minutes to hours) of the adsorption process, the adsorbent has been saturated with toxic pollutants, generating hazardous sludge or solid waste (Figure 4). It is clear as well that adsorption is less green method. The greening method can be conducted by converting the hazardous solid waste into a compact and stable solid material, preventing it to release into the environment.
Simple illustration of adsorption process.
Advanced oxidation processes are based on the generation of OH radicals that are very reactive, non-specific, and strong oxidant. The strength of the OH radical is indicated by the high standard reduction potential (E), as 2.80 V, which is higher than the standard reduction potential (E) of ozone (2.07 V), known as strong oxidizing agent [32]. AOPs are considered powerful methods for degradation of various organic pollutants due to their ability for removing almost any organic contaminant. A great number of methods are classified under the broad definition of AOPs based on the oxidizing agents applied [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50].
Most of them use a combination of strong oxidizing agents (e.g., H2O2, O3) with catalysts (e.g., transition metal ions) and irradiation (e.g., ultraviolet, visible) [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47]. A combination of H2O2 and Fe(II) ion transition metal known as Fenton agent is used Fenton process. When the Fenton process is accompanied by ultraviolet or visible light, the process is named as photo-Fenton. The process involving TiO2 photocatalyst and ultraviolet light irradiation is drawn as a photocatalysis process. Using O3 as oxidant in the degradation process is called ozonation. Oxidizing agents from metals, metal oxides, and graphene can also be included in the AOPs.
Fenton oxidation process is a catalytic reaction of H2O2 with ferrous ions, that predominantly produces OH radicals as the central oxidizing species, and ferric ions as shown in Eq. (1). Then the ferric ions are reduced back by H2O2 into ferrous ions, as presented by Eq. (2) [32, 33, 34, 35, 36].
The above reaction results in the continuous support of Fe2+ iron for the direct Fenton reaction, thus minimizing the required Fe2+ concentration, enhancing the catalytic oxidation cycle, and providing additional •OH [33].
Photo-Fenton process involves a combination of Fenton reagents (Fe2+ + H2O2) and UV–visible radiation (ƛ < 600 nm) that gives rise to extra OH radicals by two additional reactions. The reaction of OH radicals’ formation due to the photodecomposition of H2O2 by UV light, as presented in Eq. (3) [33].
Fenton, as well as Photo-Fenton type processes, are favored by acidic pH conditions, in the range of pH 2.8–3.0. However, the Fenton process produces a large amount of ferric hydroxide sludge at higher pH, which requires additional separation and disposal of solid waste (9). Accordingly, for the wastewater with higher pH in many cases, the acidification of the reaction medium is a necessity.
The application of UV-C and even UV-A (near UV) radiation during the Fenton (= photo-Fenton) process causes a dramatic increase in the •OH formation efficiency [33, 34, 35, 36]. A large number of the •OH enables the use of lower ferrous catalyst concentrations, preventing the solid waste of the ferric hydroxide sludge. It seems that the photo-Fenton process is greener, in terms of waste minimization (principle no.1), and the effect of using UV light on the prevention of precipitation is found to be significant.
The low efficiency affecting photo-Fenton processes at neutral pH is mainly due to iron precipitation, and can be therefore prevented by properly adding iron complexing agents. As pointed out in reaction Eq. (5), such compounds (L) should be able to form stable complexes with Fe(III), which (i) significantly absorb UV–vis light and (ii) undergo photochemical reductions leading to Fe(II) ions [34, 35, 36]:
Iron complexing agents used for preventing precipitation of ferric hydroxide are Polycarboxylates and amino polycarboxylates that can form stable complexes with Fe(III), absorb light in the near-UV and the visible regions more efficiently than aquo-complexes [35, 36], and undergo photoreduction through a ligand-to-metal charge transfer (LMCT) generating Fe(II) ions [36]. The iron complexing compounds should be photo-degraded during photo-Fenton process, to avoid chemical waste formation. It is clearly seen that the addition of complexing compound can make Fenton and photo-Fenton greener.
The photocatalytic process using TiO2 photocatalyst is very promising for application in water purification and wastewater treatment because many organic compounds can be decomposed and mineralized by the proceeding oxidation and reduction processes on TiO2 surface [37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47]. The most commonly tested compounds for decomposition through photocatalysis are phenols, chlorophenols, pesticides, herbicides, benzenes, alcohols, dyes, pharmaceutics, humic acids, organic acids, and others [37]. Additionally, photocatalysis process over TiO2 for reducing the toxic Cr(VI) into the harmless Cr(III) as well for oxidizing the hazardous Pb(II) into the safer PbO2 are also assessed [37].
TiO2 is the most commonly used photocatalyst, because it is non-toxic, chemically stable, cheap, and very efficient. In photocatalysis, light of energy greater than the bandgap of the semiconductor excites an electron from the valence band to the conduction band. In the case of anatase TiO2, the bandgap is 3.2 eV, therefore UV light (λ ≤ 387 nm) is required [37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47]. The absorption of a photon excites an electron to the conduction band (e CB) generating a positive hole in the valence band (h+VB) and an electron in the valence band (e−CB), as presented as Eq. (6). The hole can interact with a water molecule, as seen in Eq. (7).
However, it has some disadvantages: one of these is a relatively high value of the bandgap, around 3.2 eV, which limits its use under UV light. The other weaknesses are : high dispersion in the water which causes difficulties in sedimentation, and sensitive to the recombination of photoinduced electrons and holes, which decreases its photocatalytic activity [39, 40, 41, 42, 43, 44, 45, 46, 47]. The weakness of using UV light allows it to consume high energy (ignores principle no. 6) and the hazardous UV light is potential to cause an accident if exposes to a person for long time (less suitable to the principle no 12). Clearly, the method has not followed fully the principles of the Green Chemistry.
Therefore, an effort has been focused to overcome this deficiency of using UV light, by doping TiO2 crystal structure with either metal elements [38, 39, 40, 41, 42, 43, 44], or non-metal elements [45, 46, 47]. Doping process is hoped to narrow the bandgap that falls into visible region. Metal elements that have been doped into TiO2 include Ag [38, 39, 40], Au [41] Cu [42], and Fe [43, 44], while non-elemental dopants are N [45], S [46], and C [47]. The doping TiO2 has been frequently reported to be able to decrease their bandgap from 3.2 to smaller than 3.0 eV. The narrowing gap is illustrated in Figure 5.
The simple illustration of a) un-doped TiO2, and b) doped TiO2.
The gap decrease is able to enhance its photoactivity significantly under visible light irradiation. The use of visible light for replacing the UV light, enables photocatalysis process to be greener method. The photocatalysis process for complete degradation of organic pollutants will form smaller and saver molecules, which is in line with waste minimization. It is clear that this method obeys principle no. 2, and is in line with the green method.
Several metal [48] and metal oxide nanomaterials including iron oxide [49], graphene oxide [48], as well as graphene bounded with metals [50] have shown strong oxidizing power. Iron oxide nanoparticles have been prepared by using citrus extract for confinement of the particle growth. This method has produced in the nanoparticles providing a larger surface, an advance to result in effective degradation of some dyes [49]. The nanocomposite of graphene oxide bound with metal by using biomass as a template has also been reported [48]. This oxidizing agent has been proven to show effective degradation of the organic pollutants. Furthermore, the use of part of plants as reducing agents as well as a template for oxidizing agent nanomaterial has also been developed. One of the examples is graphene-supported silver nanocomposite [50]. The reducing agent from the biomass, replacing the toxic chemical can be categorized as the green reducing agent. The use of citrus and biomass waste as a template and reducing agent replacing the hazardous chemicals, allow the method as a greener one, due to the agreement with the principle no. 1, no. 5 and no. 12.
Several chemical analysis and pollutant removal methods are believed as very important and required by many fields. Some of the methods are recognized not obey some of the principles of the Green Chemistry. The greening methods of chemical analysis and chemical pollutant removal are essential, which can be conducted by reducing the quantity (mass and volume), substituting the toxic chemicals with the harmless or less toxic chemicals, modifying, and replacing them with the greener methods.
The authors declare no conflict of interest.
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Then take a masters degree in science in Germany (Animal breeding). Take a doctorate in animal science at the UANL.",institutionString:null,institution:{name:"Universidad Autónoma de Nuevo León",country:{name:"Mexico"}}},{id:"309250",title:"Dr.",name:"Miguel",middleName:null,surname:"Quaresma",slug:"miguel-quaresma",fullName:"Miguel Quaresma",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/309250/images/9059_n.jpg",biography:"Miguel Nuno Pinheiro Quaresma was born on May 26, 1974 in Dili, Timor Island. He is married with two children: a boy and a girl, and he is a resident in Vila Real, Portugal. He graduated in Veterinary Medicine in August 1998 and obtained his Ph.D. degree in Veterinary Sciences -Clinical Area in February 2015, both from the University of Trás-os-Montes e Alto Douro. He is currently enrolled in the Alternative Residency of the European College of Animal Reproduction. 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She is also a frequent referee for various journals.",institutionString:null,institution:{name:"University of Évora",country:{name:"Portugal"}}},{id:"283019",title:"Dr.",name:"Oudessa",middleName:null,surname:"Kerro Dego",slug:"oudessa-kerro-dego",fullName:"Oudessa Kerro Dego",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/283019/images/system/283019.png",biography:"Dr. Kerro Dego is a veterinary microbiologist with training in veterinary medicine, microbiology, and anatomic pathology. Dr. Kerro Dego is an assistant professor of dairy health in the department of animal science, the University of Tennessee, Institute of Agriculture, Knoxville, Tennessee. He received his D.V.M. (1997), M.S. (2002), and Ph.D. (2008) degrees in Veterinary Medicine, Animal Pathology and Veterinary Microbiology from College of Veterinary Medicine, Addis Ababa University, Ethiopia; College of Veterinary Medicine, Utrecht University, the Netherlands and Western College of Veterinary Medicine, University of Saskatchewan, Canada respectively. He did his Postdoctoral training in microbial pathogenesis (2009 - 2015) in the Department of Animal Science, the University of Tennessee, Institute of Agriculture, Knoxville, Tennessee. Dr. Kerro Dego’s research focuses on the prevention and control of infectious diseases of farm animals, particularly mastitis, improving dairy food safety, and mitigation of antimicrobial resistance. Dr. Kerro Dego has extensive experience in studying the pathogenesis of bacterial infections, identification of virulence factors, and vaccine development and efficacy testing against major bacterial mastitis pathogens. Dr. Kerro Dego conducted numerous controlled experimental and field vaccine efficacy studies, vaccination, and evaluation of immunological responses in several species of animals, including rodents (mice) and large animals (bovine and ovine).",institutionString:"University of Tennessee at Knoxville",institution:{name:"University of Tennessee at Knoxville",country:{name:"United States of America"}}},{id:"251314",title:"Dr.",name:"Juan Carlos",middleName:null,surname:"Gardón Poggi",slug:"juan-carlos-gardon-poggi",fullName:"Juan Carlos Gardón Poggi",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/251314/images/system/251314.jpeg",biography:"Juan Carlos Gardón Poggi received University degree from the Faculty of Agrarian Science in Argentina, in 1983. Also he received Masters Degree and PhD from Córdoba University, Spain. He is currently a Professor at the Catholic University of Valencia San Vicente Mártir, at the Department of Medicine and Animal Surgery. He teaches diverse courses in the field of Animal Reproduction and he is the Director of the Veterinary Farm. He also participates in academic postgraduate activities at the Veterinary Faculty of Murcia University, Spain. His research areas include animal physiology, physiology and biotechnology of reproduction either in males or females, the study of gametes under in vitro conditions and the use of ultrasound as a complement to physiological studies and development of applied biotechnologies. Routinely, he supervises students preparing their doctoral, master thesis or final degree projects.",institutionString:null,institution:{name:"Valencia Catholic University Saint Vincent Martyr",country:{name:"Spain"}}},{id:"309529",title:"Dr.",name:"Albert",middleName:null,surname:"Rizvanov",slug:"albert-rizvanov",fullName:"Albert Rizvanov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/309529/images/9189_n.jpg",biography:'Albert A. Rizvanov is a Professor and Director of the Center for Precision and Regenerative Medicine at the Institute of Fundamental Medicine and Biology, Kazan Federal University (KFU), Russia. He is the Head of the Center of Excellence “Regenerative Medicine” and Vice-Director of Strategic Academic Unit \\"Translational 7P Medicine\\". Albert completed his Ph.D. at the University of Nevada, Reno, USA and Dr.Sci. at KFU. He is a corresponding member of the Tatarstan Academy of Sciences, Russian Federation. Albert is an author of more than 300 peer-reviewed journal articles and 22 patents. He has supervised 11 Ph.D. and 2 Dr.Sci. dissertations. Albert is the Head of the Dissertation Committee on Biochemistry, Microbiology, and Genetics at KFU.\nORCID https://orcid.org/0000-0002-9427-5739\nWebsite https://kpfu.ru/Albert.Rizvanov?p_lang=2',institutionString:"Kazan Federal University",institution:{name:"Kazan Federal University",country:{name:"Russia"}}},{id:"210551",title:"Dr.",name:"Arbab",middleName:null,surname:"Sikandar",slug:"arbab-sikandar",fullName:"Arbab Sikandar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/210551/images/system/210551.jpg",biography:"Dr. Arbab Sikandar, PhD, M. Phil, DVM was born on April 05, 1981. He is currently working at the College of Veterinary & Animal Sciences as an Assistant Professor. He previously worked as a lecturer at the same University. \nHe is a Member/Secretory of Ethics committee (No. CVAS-9377 dated 18-04-18), Member of the QEC committee CVAS, Jhang (Regr/Gen/69/873, dated 26-10-2017), Member, Board of studies of Department of Basic Sciences (No. CVAS. 2851 Dated. 12-04-13, and No. CVAS, 9024 dated 20/11/17), Member of Academic Committee, CVAS, Jhang (No. CVAS/2004, Dated, 25-08-12), Member of the technical committee (No. CVAS/ 4085, dated 20,03, 2010 till 2016).\n\nDr. Arbab Sikandar contributed in five days hands-on-training on Histopathology at the Department of Pathology, UVAS from 12-16 June 2017. He received a Certificate of appreciation for contributions for Popularization of Science and Technology in the Society on 17-11-15. He was the resource person in the lecture series- ‘scientific writing’ at the Department of Anatomy and Histology, UVAS, Lahore on 29th October 2015. He won a full fellowship as a principal candidate for the year 2015 in the field of Agriculture, EICA, Egypt with ref. to the Notification No. 12(11) ACS/Egypt/2014 from 10 July 2015 to 25th September 2015.; he received a grant of Rs. 55000/- as research incentives from Director, Advanced Studies and Research, UVAS, Lahore upon publications of research papers in IF Journals (DR/215, dated 19-5-2014.. He obtained his PhD by winning a HEC Pakistan indigenous Scholarship, ‘Ph.D. fellowship for 5000 scholars – Phase II’ (2av1-147), 17-6/HEC/HRD/IS-II/12, November 15, 2012. \n\nDr. Sikandar is a member of numerous societies: Registered Veterinary Medical Practitioner (life member) and Registered Veterinary Medical Faculty of Pakistan Veterinary Medical Council. The Registration code of PVMC is RVMP/4298 and RVMF/ 0102.; Life member of the University of Veterinary and Animal Sciences, Lahore, Alumni Association with S# 664, dated: 6-4-12. ; Member 'Vets Care Organization Pakistan” with Reference No. VCO-605-149, dated 05-04-06. :Member 'Vet Crescent” (Society of Animal Health and Production), UVAS, Lahore.",institutionString:"University of Veterinary & Animal Science",institution:{name:"University of Veterinary and Animal Sciences",country:{name:"Pakistan"}}},{id:"311663",title:"Dr.",name:"Prasanna",middleName:null,surname:"Pal",slug:"prasanna-pal",fullName:"Prasanna Pal",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/311663/images/13261_n.jpg",biography:null,institutionString:null,institution:{name:"National Dairy Research Institute",country:{name:"India"}}},{id:"202192",title:"Dr.",name:"Catrin",middleName:null,surname:"Rutland",slug:"catrin-rutland",fullName:"Catrin Rutland",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/202192/images/system/202192.png",biography:"Catrin Rutland is an Associate Professor of Anatomy and Developmental Genetics at the University of Nottingham, UK. She obtained a BSc from the University of Derby, England, a master’s degree from Technische Universität München, Germany, and a Ph.D. from the University of Nottingham. She undertook a post-doctoral research fellowship in the School of Medicine before accepting tenure in Veterinary Medicine and Science. Dr. Rutland also obtained an MMedSci (Medical Education) and a Postgraduate Certificate in Higher Education (PGCHE). She is the author of more than sixty peer-reviewed journal articles, twelve books/book chapters, and more than 100 research abstracts in cardiovascular biology and oncology. She is a board member of the European Association of Veterinary Anatomists, Fellow of the Anatomical Society, and Senior Fellow of the Higher Education Academy. Dr. Rutland has also written popular science books for the public. https://orcid.org/0000-0002-2009-4898. www.nottingham.ac.uk/vet/people/catrin.rutland",institutionString:null,institution:{name:"University of Nottingham",country:{name:"United Kingdom"}}},{id:"283315",title:"Prof.",name:"Samir",middleName:null,surname:"El-Gendy",slug:"samir-el-gendy",fullName:"Samir El-Gendy",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRduYQAS/Profile_Picture_1606215849748",biography:"Samir El-Gendy is a Professor of anatomy and embryology at the faculty of veterinary medicine, Alexandria University, Egypt. Samir obtained his PhD in veterinary science in 2007 from the faculty of veterinary medicine, Alexandria University and has been a professor since 2017. Samir is an author on 24 articles at Scopus and 12 articles within local journals and 2 books/book chapters. His research focuses on applied anatomy, imaging techniques and computed tomography. Samir worked as a member of different local projects on E-learning and he is a board member of the African Association of Veterinary Anatomists and of anatomy societies and as an associated author at local and international journals. Orcid: https://orcid.org/0000-0002-6180-389X",institutionString:null,institution:{name:"Alexandria University",country:{name:"Egypt"}}},{id:"246149",title:"Dr.",name:"Valentina",middleName:null,surname:"Kubale",slug:"valentina-kubale",fullName:"Valentina Kubale",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/246149/images/system/246149.jpg",biography:"Valentina Kubale is Associate Professor of Veterinary Medicine at the Veterinary Faculty, University of Ljubljana, Slovenia. Since graduating from the Veterinary faculty she obtained her PhD in 2007, performed collaboration with the Department of Pharmacology, University of Copenhagen, Denmark. She continued as a post-doctoral fellow at the University of Copenhagen with a Lundbeck foundation fellowship. She is the editor of three books and author/coauthor of 23 articles in peer-reviewed scientific journals, 16 book chapters, and 68 communications at scientific congresses. Since 2008 she has been the Editor Assistant for the Slovenian Veterinary Research journal. She is a member of Slovenian Biochemical Society, The Endocrine Society, European Association of Veterinary Anatomists and Society for Laboratory Animals, where she is board member.",institutionString:"University of Ljubljana",institution:{name:"University of Ljubljana",country:{name:"Slovenia"}}},{id:"258334",title:"Dr.",name:"Carlos Eduardo",middleName:null,surname:"Fonseca-Alves",slug:"carlos-eduardo-fonseca-alves",fullName:"Carlos Eduardo Fonseca-Alves",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/258334/images/system/258334.jpg",biography:"Dr. Fonseca-Alves earned his DVM from Federal University of Goias – UFG in 2008. He completed an internship in small animal internal medicine at UPIS university in 2011, earned his MSc in 2013 and PhD in 2015 both in Veterinary Medicine at Sao Paulo State University – UNESP. Dr. Fonseca-Alves currently serves as an Assistant Professor at Paulista University – UNIP teaching small animal internal medicine.",institutionString:null,institution:{name:"Universidade Paulista",country:{name:"Brazil"}}},{id:"245306",title:"Dr.",name:"María Luz",middleName:null,surname:"Garcia Pardo",slug:"maria-luz-garcia-pardo",fullName:"María Luz Garcia Pardo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/245306/images/system/245306.png",biography:"María de la Luz García Pardo is an agricultural engineer from Universitat Politècnica de València, Spain. She has a Ph.D. in Animal Genetics. Currently, she is a lecturer at the Agrofood Technology Department of Miguel Hernández University, Spain. Her research is focused on genetics and reproduction in rabbits. The major goal of her research is the genetics of litter size through novel methods such as selection by the environmental sensibility of litter size, with forays into the field of animal welfare by analysing the impact on the susceptibility to diseases and stress of the does. Details of her publications can be found at https://orcid.org/0000-0001-9504-8290.",institutionString:null,institution:{name:"Miguel Hernandez University",country:{name:"Spain"}}},{id:"350704",title:"M.Sc.",name:"Camila",middleName:"Silva Costa",surname:"Ferreira",slug:"camila-ferreira",fullName:"Camila Ferreira",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/350704/images/17280_n.jpg",biography:"Graduated in Veterinary Medicine at the Fluminense Federal University, specialist in Equine Reproduction at the Brazilian Veterinary Institute (IBVET) and Master in Clinical Veterinary Medicine and Animal Reproduction at the Fluminense Federal University. She has experience in analyzing zootechnical indices in dairy cattle and organizing events related to Veterinary Medicine through extension grants. I have experience in the field of diagnostic imaging and animal reproduction in veterinary medicine through monitoring and scientific initiation scholarships. I worked at the Equus Central Reproduction Equine located in Santo Antônio de Jesus – BA in the 2016/2017 breeding season. I am currently a doctoral student with a scholarship from CAPES of the Postgraduate Program in Veterinary Medicine (Pathology and Clinical Sciences) at the Federal Rural University of Rio de Janeiro (UFRRJ) with a research project with an emphasis on equine endometritis.",institutionString:null,institution:null},{id:"41319",title:"Prof.",name:"Lung-Kwang",middleName:null,surname:"Pan",slug:"lung-kwang-pan",fullName:"Lung-Kwang Pan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/41319/images/84_n.jpg",biography:null,institutionString:null,institution:null},{id:"125292",title:"Dr.",name:"Katy",middleName:null,surname:"Satué Ambrojo",slug:"katy-satue-ambrojo",fullName:"Katy Satué Ambrojo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/125292/images/system/125292.jpeg",biography:"Katy Satué Ambrojo received her Veterinary Medicine degree, Master degree in Equine Technology and doctorate in Veterinary Medicine from the Faculty of Veterinary, CEU-Cardenal Herrera University in Valencia, Spain.Dr. Satué is accredited as a Private University Doctor Professor, Doctor Assistant, and Contracted Doctor by AVAP (Agència Valenciana d'Avaluació i Prospectiva) and currently, as a full professor by ANECA (since January 2022). To date, Katy has taught 22 years in the Department of Animal Medicine and Surgery at the CEU-Cardenal Herrera University in undergraduate courses in Veterinary Medicine (General Pathology, integrated into the Applied Basis of Veterinary Medicine module of the 2nd year, Clinical Equine I of 3rd year, and Equine Clinic II of 4th year). Dr. Satué research activity is in the field of Endocrinology, Hematology, Biochemistry, and Immunology in the Spanish Purebred mare. She has directed 5 Doctoral Theses and 5 Diplomas of Advanced Studies, and participated in 11 research projects as a collaborating researcher. She has written 2 books and 14 book chapters in international publishers related to the area, and 68 scientific publications in international journals. Dr. Satué has attended 63 congresses, participating with 132 communications in international congresses and 19 in national congresses related to the area. Dr. Satué is a scientific reviewer for various prestigious international journals such as Animals, American Journal of Obstetrics and Gynecology, Veterinary Clinical Pathology, Journal of Equine Veterinary Science, Reproduction in Domestic Animals, Research Veterinary Science, Brazilian Journal of Medical and Biological Research, Livestock Production Science and Theriogenology, among others. Since 2014 she has been responsible for the Clinical Analysis Laboratory of the CEU-Cardenal Herrera University Veterinary Clinical Hospital.",institutionString:null,institution:null},{id:"201721",title:"Dr.",name:"Beatrice",middleName:null,surname:"Funiciello",slug:"beatrice-funiciello",fullName:"Beatrice Funiciello",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/201721/images/11089_n.jpg",biography:"Graduated from the University of Milan in 2011, my post-graduate education included CertAVP modules mainly on equines (dermatology and internal medicine) and a few on small animal (dermatology and anaesthesia) at the University of Liverpool. After a general CertAVP (2015) I gained the designated Certificate in Veterinary Dermatology (2017) after taking the synoptic examination and then applied for the RCVS ADvanced Practitioner status. After that, I completed the Postgraduate Diploma in Veterinary Professional Studies at the University of Liverpool (2018). My main area of work is cross-species veterinary dermatology.",institutionString:null,institution:null},{id:"291226",title:"Dr.",name:"Monica",middleName:null,surname:"Cassel",slug:"monica-cassel",fullName:"Monica Cassel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/291226/images/8232_n.jpg",biography:'Degree in Biological Sciences at the Federal University of Mato Grosso with scholarship for Scientific Initiation by FAPEMAT (2008/1) and CNPq (2008/2-2009/2): Project \\"Histological evidence of reproductive activity in lizards of the Manso region, Chapada dos Guimarães, Mato Grosso, Brazil\\". Master\\\'s degree in Ecology and Biodiversity Conservation at Federal University of Mato Grosso with a scholarship by CAPES/REUNI program: Project \\"Reproductive biology of Melanorivulus punctatus\\". PhD\\\'s degree in Science (Cell and Tissue Biology Area) \n at University of Sao Paulo with scholarship granted by FAPESP; Project \\"Development of morphofunctional changes in ovary of Astyanax altiparanae Garutti & Britski, 2000 (Teleostei, Characidae)\\". She has experience in Reproduction of vertebrates and Morphology, with emphasis in Cellular Biology and Histology. She is currently a teacher in the medium / technical level courses at IFMT-Alta Floresta, as well as in the Bachelor\\\'s degree in Animal Science and in the Bachelor\\\'s degree in Business.',institutionString:null,institution:null},{id:"442807",title:"Dr.",name:"Busani",middleName:null,surname:"Moyo",slug:"busani-moyo",fullName:"Busani Moyo",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Gwanda State University",country:{name:"Zimbabwe"}}},{id:"439435",title:"Dr.",name:"Feda S.",middleName:null,surname:"Aljaser",slug:"feda-s.-aljaser",fullName:"Feda S. Aljaser",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"King Saud University",country:{name:"Saudi Arabia"}}},{id:"423023",title:"Dr.",name:"Yosra",middleName:null,surname:"Soltan",slug:"yosra-soltan",fullName:"Yosra Soltan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Alexandria University",country:{name:"Egypt"}}},{id:"349788",title:"Dr.",name:"Florencia Nery",middleName:null,surname:"Sompie",slug:"florencia-nery-sompie",fullName:"Florencia Nery Sompie",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Sam Ratulangi University",country:{name:"Indonesia"}}},{id:"428600",title:"MSc.",name:"Adriana",middleName:null,surname:"García-Alarcón",slug:"adriana-garcia-alarcon",fullName:"Adriana García-Alarcón",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Autonomous University of Mexico",country:{name:"Mexico"}}},{id:"428599",title:"MSc.",name:"Gabino",middleName:null,surname:"De La Rosa-Cruz",slug:"gabino-de-la-rosa-cruz",fullName:"Gabino De La Rosa-Cruz",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Autonomous University of Mexico",country:{name:"Mexico"}}},{id:"428601",title:"MSc.",name:"Juan Carlos",middleName:null,surname:"Campuzano-Caballero",slug:"juan-carlos-campuzano-caballero",fullName:"Juan Carlos Campuzano-Caballero",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Autonomous University of Mexico",country:{name:"Mexico"}}}]}},subseries:{item:{id:"18",type:"subseries",title:"Proteomics",keywords:"Mono- and Two-Dimensional Gel Electrophoresis (1-and 2-DE), Liquid Chromatography (LC), Mass Spectrometry/Tandem Mass Spectrometry (MS; MS/MS), Proteins",scope:"With the recognition that the human genome cannot provide answers to the etiology of a disorder, changes in the proteins expressed by a genome became a focus in research. Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. The Proteomics topic aims to attract contributions on all aspects of MS-based proteomics that, by pushing the boundaries of MS capabilities, may address biological problems that have not been resolved yet.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",hasOnlineFirst:!0,hasPublishedBooks:!0,annualVolume:11414,editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",slug:"paolo-iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",biography:"Paolo Iadarola graduated with a degree in Chemistry from the University of Pavia (Italy) in July 1972. He then worked as an Assistant Professor at the Faculty of Science of the same University until 1984. In 1985, Prof. Iadarola became Associate Professor at the Department of Biology and Biotechnologies of the University of Pavia and retired in October 2017. Since then, he has been working as an Adjunct Professor in the same Department at the University of Pavia. His research activity during the first years was primarily focused on the purification and structural characterization of enzymes from animal and plant sources. During this period, Prof. Iadarola familiarized himself with the conventional techniques used in column chromatography, spectrophotometry, manual Edman degradation, and electrophoresis). Since 1995, he has been working on: i) the determination in biological fluids (serum, urine, bronchoalveolar lavage, sputum) of proteolytic activities involved in the degradation processes of connective tissue matrix, and ii) on the identification of biological markers of lung diseases. In this context, he has developed and validated new methodologies (e.g., Capillary Electrophoresis coupled to Laser-Induced Fluorescence, CE-LIF) whose application enabled him to determine both the amounts of biochemical markers (Desmosines) in urine/serum of patients affected by Chronic Obstructive Pulmonary Disease (COPD) and the activity of proteolytic enzymes (Human Neutrophil Elastase, Cathepsin G, Pseudomonas aeruginosa elastase) in sputa of these patients. More recently, Prof. Iadarola was involved in developing techniques such as two-dimensional electrophoresis coupled to liquid chromatography/mass spectrometry (2DE-LC/MS) for the proteomic analysis of biological fluids aimed at the identification of potential biomarkers of different lung diseases. He is the author of about 150 publications (According to Scopus: H-Index: 23; Total citations: 1568- According to WOS: H-Index: 20; Total Citations: 1296) of peer-reviewed international journals. He is a Consultant Reviewer for several journals, including the Journal of Chromatography A, Journal of Chromatography B, Plos ONE, Proteomes, International Journal of Molecular Science, Biotech, Electrophoresis, and others. He is also Associate Editor of Biotech.",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorTwo:{id:"201414",title:"Dr.",name:"Simona",middleName:null,surname:"Viglio",slug:"simona-viglio",fullName:"Simona Viglio",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKDHQA4/Profile_Picture_1630402531487",biography:"Simona Viglio is an Associate Professor of Biochemistry at the Department of Molecular Medicine at the University of Pavia. She has been working since 1995 on the determination of proteolytic enzymes involved in the degradation process of connective tissue matrix and on the identification of biological markers of lung diseases. She gained considerable experience in developing and validating new methodologies whose applications allowed her to determine both the amount of biomarkers (Desmosine and Isodesmosine) in the urine of patients affected by COPD, and the activity of proteolytic enzymes (HNE, Cathepsin G, Pseudomonas aeruginosa elastase) in the sputa of these patients. Simona Viglio was also involved in research dealing with the supplementation of amino acids in patients with brain injury and chronic heart failure. She is presently engaged in the development of 2-DE and LC-MS techniques for the study of proteomics in biological fluids. The aim of this research is the identification of potential biomarkers of lung diseases. 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Chapters exploring biomaterial approaches such as polymer synthesis and characterization, drug and gene vector design, biocompatibility, immunology and toxicology, and self-assembly at the nanoscale, are welcome. Finally, the tissue engineering subcategory will support topics such as the fundamentals of stem cells and progenitor cells and their proliferation, differentiation, bioreactors for three-dimensional culture and studies of phenotypic changes, stem and progenitor cells, both short and long term, ex vivo and in vivo implantation both in preclinical models and also in clinical trials.",annualVolume:11405,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/9.jpg",editor:{id:"126286",title:"Dr.",name:"Luis",middleName:"Jesús",surname:"Villarreal-Gómez",fullName:"Luis Villarreal-Gómez",profilePictureURL:"https://mts.intechopen.com/storage/users/126286/images/system/126286.jpg",institutionString:null,institution:{name:"Autonomous University of Baja California",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"35539",title:"Dr.",name:"Cecilia",middleName:null,surname:"Cristea",fullName:"Cecilia Cristea",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYQ65QAG/Profile_Picture_1621007741527",institutionString:null,institution:{name:"Iuliu Hațieganu University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"40735",title:"Dr.",name:"Gil",middleName:"Alberto Batista",surname:"Gonçalves",fullName:"Gil Gonçalves",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYRLGQA4/Profile_Picture_1628492612759",institutionString:null,institution:{name:"University of Aveiro",institutionURL:null,country:{name:"Portugal"}}},{id:"211725",title:"Associate Prof.",name:"Johann F.",middleName:null,surname:"Osma",fullName:"Johann F. 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