\r\n\tThe aim of this book is to provide the reader with a comprehensive state-of-the-art in artificial neural networks, collecting many of the core concepts and cutting-edge application behind neural networks and deep learning.
",isbn:"978-1-83962-375-2",printIsbn:"978-1-83962-374-5",pdfIsbn:"978-1-83962-376-9",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,hash:"5cc6cd7972551be6cfc4d3c87bf8fb5c",bookSignature:"Dr. Pier Luigi Mazzeo and Dr. Paolo Spagnolo",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/10390.jpg",keywords:"Recurrent, Recursive Nets, Face Recognition, Crowd Analysis, Different Applications, Object Detection, Classification, Visual Tracking, Speech Recognition, Grams, Reinforcement Learning, 3-D Map",numberOfDownloads:75,numberOfWosCitations:0,numberOfCrossrefCitations:0,numberOfDimensionsCitations:0,numberOfTotalCitations:0,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"September 25th 2020",dateEndSecondStepPublish:"October 23rd 2020",dateEndThirdStepPublish:"December 22nd 2020",dateEndFourthStepPublish:"March 12th 2021",dateEndFifthStepPublish:"May 11th 2021",remainingDaysToSecondStep:"4 months",secondStepPassed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"Author and co-author of more than 80 works in national and international journals, conference proceedings, and book chapters, with Ph.D. in Computer Science Engineering.",coeditorOneBiosketch:"Dr. Spagnolo received the engineering degree in computer science from the University of Lecce, Italy. Since 2002 he has been with the Italian National Research Council. His work includes more than 80 publications on AI.",coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"17191",title:"Dr.",name:"Pier Luigi",middleName:null,surname:"Mazzeo",slug:"pier-luigi-mazzeo",fullName:"Pier Luigi Mazzeo",profilePictureURL:"https://mts.intechopen.com/storage/users/17191/images/system/17191.jpeg",biography:"Pier Luigi Mazzeo received the engineering degree in computer science from the University of Lecce, Lecce, Italy, in 2001. \nSince 2015 he has been with Institute of Applied Sciences and Intelligent Systems of the Italian National Research Council, Lecce, Italy. The most relevant topics, in which he is currently involved, include algorithms for video object tracking , face detection and recognition, facial expression recognition, deep neural network (CNN) and machine learning.\nHe has taken part in several national and international projects and he acts as a reviewer for several international journals and for some book publishers. He has been regularly invited to take part in the Scientific Committees of national and international conferences. \nDr. Mazzeo is author and co-author of more then 80 works in national and international journals, conference proceedings and book chapters.",institutionString:"Institute of Applied Sciences and Intelligent Systems (CNR)",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"1",institution:{name:"Institute of Applied Science and Intelligent Systems",institutionURL:null,country:{name:"Italy"}}}],coeditorOne:{id:"20192",title:"Dr.",name:"Paolo",middleName:null,surname:"Spagnolo",slug:"paolo-spagnolo",fullName:"Paolo Spagnolo",profilePictureURL:"https://mts.intechopen.com/storage/users/20192/images/system/20192.jpg",biography:"Paolo Spagnolo received the engineering degree in computer science from the University of Lecce, Lecce, Italy, in 2002.\nSince then he has been with the Italian National Research Council.\nHe has been working on several research topics regarding Artificial Intelligence and Computer Vision studying techniques and methodologies for multidimensional digital signal processing; linear and non-linear signal characterization; signal features extraction; supervised and unsupervised classification of signals; deep neural network (CNN).\nDr. Spagnolo is an author of over 80 papers on Artificial Intelligence. 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Presently, there are two commonly accepted sensing mechanisms(Chu et al., Phys. Rev; Campion et al., 1998; Knoll, 1998; Kneipp et al., 1999; Moskovits et al., 1998; Otto et al. 2005): the electro-magnetic enhancement mechanism, which involves enhancement in the field intensity by plasmon resonance excitation; and the chemical enhancement mechanism, which involves enhancement of the polarizability by chemical effects such as a charge-transfer excited states.The efficiency of the generation of the SERS signal is high enough to observe the Raman spectrum of even a single molecule. With the rapid development of nanofabrication technology, SERS has grown to become a very active field of research in several areas of materials and analytical sciences, such as medicine, the environment, food, gems, cultural relics, and archaeology (Fan et al., 2011; Jun et al., 2010; Deiss et al., 2011).
In the following section, liquid milk melamine detection using a SERS liquid sensor is described as an example of this technique. In the example, liquid milk samples preparation process is very easy, i.e. only diluted with double-distilled water and centrifugation is required. With the aid of silver colloid, at least a 105-fold enhancement of the Raman signal was achieved for the measurement of melamine. The limit of detection by this method was 0.01 g mL-1 for melamine standard samples. Based on the intensity of the Raman spectroscopy with vibration bands normalized by the band at 928 cm-1 (CH2), external standard method was employed for the quantitative analysis. The linear regression square (R2) of curve was 0.9998, the limit of quantitation using this approach was 0.5 g mL-1 of melamine in liquid milk, the relative standard deviation was ≤ 10% and recoveries were from 93 to 109%. The test results for SERS were very precise and as good as those obtained by LC/MS/MS.
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2. Background of surface-enhanced Raman scattering liquid sensor for melamine detection
Since 2008, there has been mounting concern about the intentional adulteration of protein ingredients in milk powder with melamine, because milk powder blended with melamine can lead to kidney disease and even death in babies. Thisfear of milk powder tainted with melamine has an important influence on the dairy production of milk powder and cow breeding, as well as an important impact on the food market and industry. Currently, new methods such as high-performance liquid chromatography (HPLC) (Ehling et al., 2007; Muniz-Valencia et al., 2008), liquid chromatography coupled with mass spectroscopy (LC-MS)(Varelis et al., 2008), LC-MS/MS (http://www.cfsan.fda.gov/∼frf/lib4421.htm), thin-layer chromatography (TLC) (Broszat et al., 2008), commercial enzyme-linked immunosorbent assay technology (Eric et al., 2008), matrix-assisted laser desorption/ionization mass spectrometry (Tang et al., 2009), and surface desorption atmospheric pressure chemical ionization mass spectrometry (Yang et al.,2009) are the principal analysis techniques used for the detection and quantification of melamine in food. However, these methods are time consuming and cannot satisfy the need for melamine detection in practice because raw milk spoils and must be assayed within 4 h. Moreover, these methods require access to complicated and expensive laboratory facilities, especially in terms of sample preparation and clean-up steps. Therefore, it is of particular importance to develop a simple, quick, cost-effective, and sensitive method for detection of melamine in food.
We demonstrate an approach to detect melamine in liquid milk using surface-enhanced Raman spectroscopy in a silver colloid, which can be used for the rapid and online detection of melamine in dairy products.
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2.1. Optimization of the surface-enhanced Raman scattering liquid sensorfor melamine detection
In recent years, gold nanoparticles (Au NPs) and silver nanoparticles (Ag NPs) have been widely used as colorimetric probes for chemical sensing and biosensing of various substances (Zhao, et al., 2008), such as viruses (Niikura et al., 2009), protein (Wang et al., 2008), DNA (Cho, et al., 2008), cancerous cells (Medley et al., 2008), and small molecules (Chen, et al., 2010; Li et al., 2009; Zhang et al., 2008), relying on their unique size-dependent and/or interparticle distance-dependent absorption spectra and solution color. For example, triple hydrogenbonding recognition between melamine and a cyanuric acid derivative grafted on the surfaced of Au NPs can be used for reliable detection of melamine (Ai et al., 2009).
Currently, much attention has been paid to the study of the optical absorption spectra of nanoscale colloidal silver in the quest for SERS enhancement factors. Compared to Au NPs, Ag NPs have some advantages, for example, lower cost of preparation and higher extinction coefficients relative to Au NPs of the same size (Lee, et al, 2007). Therefore, Ag NPs are also good candidates for melamine sensing (Han, et al., 2010; Ping et al., 2012).
Upon considering the influence of temperature, ionic strength, and aggregation behavior of colloids on the SERS spectra band intensity in the presence of adsorbates and the wavelength at which maximum enhancement occurs, the latter shift to higher values with time. In particular, the adsorption of the colloid is strongly influenced by chloride ions (Koglin et al., 1996) and pH (House et al., 2008). Scanning electron microscopy images of a silver colloid before and after addition of reagent A (Sodium chloride aqueous solution or aqueous potassium chloride solutions) and reagent B (Aqueous sodium hydroxide or potassium hydroxide solution) are presented in Figure 1. As shown in Figure 1a, the colloidal silver particles mainly displayed a spherical morphology with a uniform size of ~70-100 nm. After added reagent A (Fig. 1b) or reagent B (Fig. 1c), the silver colloid became aggregated and inhomogeneous. When reagents A and B were added to the colloidal silver at the same time, the morphology of the silver colloid became more dense and uniform (Fig. 1d), which is the best form for SERS enhancement. Thus, this system was chosen as the surfaced-enhancing substrate for further study. Figure 1e shows the SERS spectra of 1 μg mL-1 melamine on the corresponding enhancing substrates from (a), (b), (c) and (d) in Figure 1. There are no evident Raman bands of melamine on silver colloid (curve ⅰin Fig. 1e) or on silver colloid with reagent A (curve ⅱin Fig. 1e). However, when reagent B was added to the silver colloid (curveⅲin Fig. 1e), a weak characteristic peak of melamine was observed at 698 cm-1, i.e., the SERS spectra band intensity was affected by pH. After reagents A and B were added to the silver colloid (Curve IV in Fig. 1e), the characteristic peak of melamine was strongly enhanced, with the intensity of the peak at 698 cm-1being the greatest.
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Figure 1.
a-d) Scanning electron microscopy images of colloids and(e)SERS spectra of 1 μg mL-1 melamine with the corresponding enhancing substrates.Scanning electron microscopy images of silver colloids (a)before and(b) after addition of reagent A, (c) reagent B, and (d) reagents A and B together.(e) Curves ⅰ, ⅱ, ⅲ, and ⅳare SERS spectra of 1 μg mL-1 melamine from the corresponding enhancing substrates from (a), (b), (c), and (d), respectively.
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2.2. Description of use of the milk melamine liquid sensor
It is believed that melamine (2,4,6-triamino-1,3,5-triazine) is sometimes intentionally added to food ingredients to make the products appear to contain higher protein levels due to the high nitrogen content of melamine. A safety limit for melamine ingestion is officially set at 2.5 ppm for adult food and 1 ppm infant formula by the US Food and Drug Administration (Zhao et al., 2009; http://www.fda.gov/NewsEvents/ Newsroom-/ PressAnnouncements/ 2008/ ucm116960.htm.). The maximum residue level of melamine in infant formula is now legally regulated at 1 ppm by the Chinese government after the recent melamine accident (Guo et al., 2010). To achieve this lower limit of detection (LOD), silver colloids are ideal candidates to be used as surfaced-enhancing substrate liquid sensors due to their strong Raman-enhancing effect. Thus, we chose silver colloid as a surfaced-enhancing substrate for the detection of melamine in this study, and the detection process is diagrammed in Figure 2.First, liquid milk was diluted with double-distilled water (Fig. 2a) toobtain a diluted milk sample. Next, the diluted sample was placed into a 1.5-mL conical centrifuge tube and centrifuged for 4 min at 14,000 rpm, and then it was delaminated (Fig. 2b). Next, the supernatant was removed from the centrifuge tube and was added to the silver colloid, which was previously prepared with drop-wise addition of reagents A andB, and uniformly mixed (Fig. 2c).Finally, the SERS spectra were recorded using a portable Raman spectrometer (Fig. 2d) to collect analytical results.
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Figure 2.
Schematic diagram of the on-line and rapid method for measuring melamine in liquid milk using surface-enhanced Raman spectroscopy.(a) Liquid milk was first diluted with double-distilled water.(b) The diluted sample was then centrifuged and delaminated.(c) The supernatant was addedto the silver colloid.(d) SERS spectra were recorded using a portable Raman spectrometer.
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2.3. Optimization of the melamine spectra
Based on these experimental results, the spectra of different concentrations of melamine in solution were investigated from 500–1200 cm-1, as shown in Figure 3.Typical Raman peaks of solid melamine at 382, 584, 678, and 983 cm-1 were observed (Fig. 3a).The most intense peak at 678 cm-1 is assigned to the ring breathing II mode, which involves in-plane deformation of the triazine ring. And the second most intense peak at 983 cm-1 arises from the ring breathing mode I of the triazine ring (Koglin et al., 1996). The peaks at 698 and 1005 cm-1, visible in the SERS spectra of Figure 3b–d, were obtained from melamine samples at concentrations of 5×10-1, 10-1, and 10-2 μg mL-1. The Raman spectra of the enhanced substrate, i.e., silver colloid treated with reagents A and B,is shown in Figure 3e.In the absence of melamine, small peaks at 698 and 1005 cm-1 were observed, and the other peaks disappeared. Only a small peak at 678 cm-1 was observed in the Raman spectra of melamine dissolved in water (Fig. 3f), and no peaks were evident in the spectra obtained from the 103 μg mL-1 melamine sample in the absence of the enhancing substrate (Fig. 3g).
Clearly, in the SERS spectra, the relative intensities of the peaks at 698 and 1005 cm-1 were enhanced with increasing melamine concentration. Furthermore, the spectra markedly changed in the presence of the silver colloid enhancing substrate. The specific melamine peaks at 698 and 1005 cm-1 were shifted by 20 cm-1, which is a large Raman shift compared to the peaks for the Raman spectroscopy of solid melamine. This may be due to the effect of the enhancement system (Haynes et al., 2005). In addition, due to “electromagnetic field enhancement” and “chemical or electronic enhancement” (He et al., 2008; Kneipp et al., 2002), Raman signals can be significantly enhanced, by up to six orders of magnitude, in the highly localized optical fields of such structures. Therefore, this specific approach is reasonable and promising for the field detection of melamine in various liquid milk products, such as raw milk, pure milk, and yoghurt.
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Figure 3.
Raman spectra and SERS spectra of melamine at different concentrations.(a) Raman spectra of solid melamine.SERS spectra of melamine solution at (b) 5×10-1 μg mL-1, (c) 1×10-1 μg mL-1, and (d) 1×10-2 μg mL-1.Raman spectra of silver colloid treated with reagents A and B (e) and melamine at different concentrations: (f) ~3.3×103 μg mL-1; and (g) 1×103 μg mL-1.
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2.4. Analysis of detection results
To demonstrate the practical application of melamine in liquid milk, we used melamine in raw liquid milk as an example. Various concentrations of melamine in liquid milk were extracted and analyzed by their SERS spectra (Fig. 4). As shown in Figure 4a, seven concentrations (0.5, 1, 2, 2.5, 5, 8, and 10 μg mL-1) of melamine in liquid milk were studied, and the intensity of the melamine peak at 698 cm-1 was enhanced with increasing melamine concentration. To eliminate the effects of the matrix and other factors (e.g., temperature, humidity, and focal distance), the intensity of the peak at 928 cm-1 was set at 100 for milk, and the Raman peak at 698 cm-1 in the absence of melamine had a fixed value. Accordingly, a melamine standard curve was obtained by establishing a plot correlating the melamine concentrations in liquid milk to the intensity of the intense SERS spectral peak of melamine at ~698 cm-1. A linear regression (R2 = 0.9996) was found between the Raman intensity and melamine concentration (Fig. 4b). The limit of quantification (LOQ) using this approach to detect melamine in liquid milk was also investigated, as shown in Figure 5. We found that this specific approach is reasonable for the detection of melamine in liquid milk because only one prominent peak was present in the melamine SERS spectra, which can be applied to field detection of various liquid milk products.
Moreover, the tests were performed and assessed by the Ministry of Science and Technology of the P. R. China, complying with the general administration quality supervision inspection quarantine of the P. R. China, the Ministry of Agriculture of the P. R. China, the Ministry of Health of the P. R. China, and the National Institute of Metrology P. R. China. The SERS test results were very precise and as good as those obtained by the LC/MS/MS method (Table 1). Forty-nine of 50 test samples results were correct, i.e., melamine was correctly detected in 98% of the test samples (Table 2).The concentration error in the samples was 0.2 ppm, which exceeds the limit of quantification using Raman spectra. The relative standard deviations (RSDs) were ≤ 10%, and the relative measurement deviations (RMD) were ≤ 10%.Therefore, the SERS method is an effective approach for measuring liquid milk melamine, which provides on-line, rapid, and reliable screening.
Comparison of results obtained by Raman spectroscopy and LC/MS/MS of liquid milk from the first test.
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Figure 4.
SERS spectra and standard curve of melamine in milk.(a) SERS spectra of different concentrations of melamine in milk. (b) Standard curve of melamine in milk.
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Figure 5.
Predicted melamine value (μg mL-1) compared to a spiked melamine value (μg mL-1) using (a) the external standard method and (b) the error line. The spectral region = 1000-1800 cm−1; spectral number n = 63.
Comparison of results obtained by Raman spectroscopy and LC/MS/MS of liquid milk from the second test.
A method was established to detect melamine in liquid milk using surface-enhanced Raman spectroscopy with the aid of a silver colloid enhancing substrate. An enhancement factor of ≥ 105-fold was achieved in the measurement of melamine on this SERS-active substrate. In addition, the milk sample preparation process used in this technique is easy and time-saving, only requiring four steps: dilution, centrifugation, addition of samples to the enhanced base, and collection of the Raman spectra. The total detection time using SERS to measure a sample was ~3 min, which is starting from the dilution up to the final results. And the Raman spectra were acquired for only 3 s. Based on the calculations of the most intense peak in the melamine SERS spectra at approximately698 cm-1, the LOQ of the SERS spectra achieved a level of 0.01 μg mL-1 for melamine standard samples, which corresponds to 0.5 μg mL-1 melamine in liquid milk. The RSD was ≤ 10 %, and recoveries were from 93-109%.The results from actual sample analyses were very precise and as good as those results obtained by LC/MS/MS.
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3. Summary
Melamine, a nitrogen-rich chemical, has recently caused enormous economic losses to the food industry due to instances of milk products being adulterated by melamine, which has led to an urgent need for a rapid and reliable detection method for melamine in food. Here, we used a SERS liquid sensor to detect melamine in dairy products. The preparation processfor the dairy product samples is very easy, i.e.,only dilution with double-distilled water and centrifugation is required.With the aid of a silver colloid, at least a 105-fold enhancement of the Raman signal was achieved for the measurement of melamine. The LOD by this method was 0.01 g mL-1 for melamine standard samples. Based on the intensity of the Raman spectra with vibration bands normalized by the band at 928 cm-1 (CH2),the external standard method was employed for quantitative analysis. The linear regression (R2) of the curve was 0.9998, the LOQ using this approach was 0.5 g mL-1 melamine in dairy product samples, the relative standard deviation was ≤ 10%, and the recoveries ranged from 93-109%. The test results for SERS were very precise and as good as those obtained by LC/MS/MS.
Our method is simple, quick (only requiring ~3 min), cost-effective, and sensitive for the detection of melamine in dairy product samples using a SERS liquid sensor. Therefore, Ag NPs are good candidates for melamine sensing and suitable for the detection of melamine in dairy products. We believe that liquid Au NPs and Ag NPs will be widely used as liquid sensing substrates and that SERS will be widely investigated and applied for the analysis of other molecules, including pesticides, herbicides, pharmaceutical chemicals, banned food dyes, explosives, nicotine, and organic pollutants.
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Acknowledgements
We are grateful for financial support by the International Science and Technology Cooperation and Exchange Foundation (No. 2008DFA40270), a Strategic Eleventh-five-year Science and Technology Supporting Grant (No. 2009BAK58B01), and Special Funded Projects of the Fundamental Research Funds from the Chinese Academy of Inspection and Quarantine of China (Grant No. 2010JK017).
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\n',keywords:null,chapterPDFUrl:"https://cdn.intechopen.com/pdfs/43589.pdf",chapterXML:"https://mts.intechopen.com/source/xml/43589.xml",downloadPdfUrl:"/chapter/pdf-download/43589",previewPdfUrl:"/chapter/pdf-preview/43589",totalDownloads:2001,totalViews:199,totalCrossrefCites:0,totalDimensionsCites:2,hasAltmetrics:0,dateSubmitted:"April 23rd 2012",dateReviewed:"August 21st 2012",datePrePublished:null,datePublished:"March 13th 2013",dateFinished:null,readingETA:"0",abstract:null,reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/43589",risUrl:"/chapter/ris/43589",book:{slug:"state-of-the-art-in-biosensors-environmental-and-medical-applications"},signatures:"Mingqiang Zou, Xiaofang Zhang, Xiaohua Qi and Feng Liu",authors:[{id:"156217",title:"Mrs.",name:"Xiaofang",middleName:null,surname:"Zhang",fullName:"Xiaofang Zhang",slug:"xiaofang-zhang",email:"xfzhang_926@126.com",position:null,institution:null},{id:"156640",title:"Dr.",name:"Mingqiang",middleName:null,surname:"Zou",fullName:"Mingqiang Zou",slug:"mingqiang-zou",email:"mingqiangz@sina.com",position:null,institution:null},{id:"156641",title:"Dr.",name:"Xiaohua",middleName:null,surname:"Qi",fullName:"Xiaohua Qi",slug:"xiaohua-qi",email:"qixh2000@126.com",position:null,institution:null},{id:"156642",title:"Dr.",name:"Feng",middleName:null,surname:"Liu",fullName:"Feng Liu",slug:"feng-liu",email:"liufeng523@hotmail.com",position:null,institution:null}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Background of surface-enhanced Raman scattering liquid sensor for melamine detection",level:"1"},{id:"sec_2_2",title:"2.1. Optimization of the surface-enhanced Raman scattering liquid sensorfor melamine detection",level:"2"},{id:"sec_3_2",title:"2.2. Description of use of the milk melamine liquid sensor",level:"2"},{id:"sec_4_2",title:"2.3. Optimization of the melamine spectra ",level:"2"},{id:"sec_5_2",title:"2.4. Analysis of detection results",level:"2"},{id:"sec_7",title:"3. Summary",level:"1"},{id:"sec_8",title:"Acknowledgements",level:"1"}],chapterReferences:[{id:"B1",body:'\n\t\t\t\tAbalde-Cela S., Ho S., Rodríguez-González B., Correa-Duarte M. A., Álvarez- Puebla R. A., Liz-Marzán L. M., Kotov N. A. (2009). Loading of Exponentially Grown LBL Films with Silver Nanoparticles and Their Application to Generalized SERS Detection.Angew. Chem. Int. Ed., vol. 48, pp. 1-5.\n\t\t\t'},{id:"B2",body:'\n\t\t\t\tAi K. L., Liu Y. L., Lu L. H. 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Chinese Academy of Inspection and Quarantine, China
Chinese Academy of Inspection and Quarantine, China
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1. Introduction
Oxidoreductases, which includes oxidase, oxygenase, peroxidase, dehydrogenase, and others, are enzymes that catalyze redox reaction in living organisms and in the laboratory [1]. Interestingly, oxidoreductases catalyze reaction involving oxygen insertion, hydride transfer, proton extraction, and other essential steps. The substrate that is oxidized is considered as hydrogen or electron donor, whereas the substrate that is reduced during reaction as hydrogen/electrons acceptor. Most commonly, oxidoreductase enzymes use NAD, FAD, or NADP as a cofactor [2]. Organisms use this group of enzymes for synthesis of biomolecules, degradation and removal of molecules, metabolism of exogenous molecules like drugs, and so on [3, 4, 5]. Their biochemical property such as efficiency, specificity, good biodegradability, and being studied well make it fit well for industrial purposes. As a result, oxidoreductases are being utilized in nutrition, food processing, medicine, and other chemical synthesis. In the near future, oxidoreductase may be utilized as the best biocatalyst in pharmaceutical, food processing, and other industries [6, 7].
Enzymes like oxidoreductase play great and significant function in the field of disease diagnosis, prognosis, and treatment [8]. By analyzing the activities of enzymes and changes of certain substances in the body fluids, a number of disease conditions can be diagnosed [9, 10]. The determination of the activity of the oxidoreductases is helpful in understanding the metabolic activity of different organs [8, 11]. For example, the activity of oxidoreductase enzymes in Krebs cycle is significantly increased during skin infection [12].
There are different disease conditions resulting from deficiency (quantitative and qualitative) and excess of oxidoreductase, which may contribute to the metabolic abnormalities and decreased normal performance of life [13, 14]. For example, relative decreases in the activities of NADH dehydrogenase and ubiquinol-cytochrome c oxidoreductase are highly associated with the developments of peripheral arterial disease. Another best example is mutation of p450 oxidoreductase (POR) gene, which leads to insufficiency of P450 enzymes characterized by defective steroidogenesis. Similarly, deficiency of mitochondrial acetaldehyde dehydrogenase disturbs normal metabolism of alcohol and leads to accumulation of acetaldehyde [8, 15, 16]. These conditions in turn affect the normal development and reproduction.
2. Oxidoreductase in metabolism of foodstuff
Oxidoreductases are a family of enzymes that catalyze redox reactions. Oxidoreductases catalyze the transfer of electrons from oxidant to reductant [4]. Generally, oxidoreductases catalyze reactions which are similar to A– + B → A + B– where A is the oxidant and B is the reductant [17]. Oxidoreductases can be oxidases where a molecular oxygen acts as an acceptor of hydrogen or electrons and dehydrogenases which are enzymes that oxidize a substrate by transferring hydrogen to an acceptor that is either NAD+/NADP+ or a flavin enzyme. Other classes are oxidoreductases enzymes, peroxidases which are localized in peroxisomes and catalyze the reduction of hydrogen peroxide. Hydroxylases are involved in the addition of hydroxyl groups to their substrates, and oxygenases are key in the incorporation of oxygen from molecular oxygen into organic substrates. And reductase enzymes are involved in the catalysis of reduction reaction [2, 3, 18]. In general, oxidoreductase enzymes play an important role in both aerobic and anaerobic metabolism. They are involved in glycolysis, TCA cycle, oxidative phosphorylation, fatty acid, and amino acid metabolism [5, 19, 20].
3. Oxidoreductase in glycolysis
In glycolysis, the enzyme glyceraldehydes-3-phosphate dehydrogenase catalyzes the reduction of NAD + to NADH. In order to maintain the redox state of the cell, this NADH must be re-oxidized to NAD+, which occurs in the oxidative phosphorylation pathway [21].
A high number of NADH molecules are produced in the TCA cycle. The product of glycolysis, pyruvate, enters the TCA cycle in the form of acetyl-CoA. Except leucine and lysine, all twenty of the amino acids can be degraded to TCA cycle intermediates. And most of the fatty acids are oxidized into acetyl coA through beta oxidation that enter TCA cycle [19, 22].
The precursor for the TCA cycle comes from lipids and carbohydrates, both of which produce the molecule acetyl-CoA. This acetyl-CoA enters the eight-step sequence of reactions that comprise the Krebs cycle, all of which occur inside mitochondria of eukaryotic cells. TCA or Krebs cycle produces NADH and FADH, and the reactions are catalyzed by classes of oxidoreductase enzymes [23].
5. Oxidoreductase in electron transport chain and oxidative phosphorylation
Living cells use electron transport chain to transfer electrons stepwise from substrates (NADH & FADH2) to a molecular oxygen. The proton gradient which is generated through electron transport chain runs downhill to drive the synthesis of ATP. Electron transport chain and oxidative phosphorylation take place in the matrix of mitochondria, and there are oxidoreductase enzymes impregnated in the inner mitochondrial membrane, which catalyze these reactions and are engaged in energy production. NADH:quinone oxidoreductase, also called NADH dehydrogenase (complex I), is responsible for the transfer of electrons from NADH to quinones, coupled with proton translocation across the membrane. Succinate:quinone oxidoreductase, or succinate dehydrogenase (complex II), is an enzyme of the Krebs cycle, which oxidizes succinate and reduces quinones, in the absence of proton translocation. Quilon:cytochrome c oxidoreductase (complex III), which transfers electrons from quinols to cytochrome c and cytochrome c:oxygen oxidoreductase, an aa3-type enzyme (complex IV), which receives these electrons and transfers it to oxygen are both oxidoreductase enzymes involved in electron transport chain and oxidative phosphorylation [19, 24, 25] (Figure 1).
Figure 1.
Oxidoreductase enzymes involved in electron transport chain and oxidative phosphorylation [18].
6. Oxidoreductase in drug metabolism
Liver is the principal organ for drug metabolism. The body uses different strategies to metabolize drugs like oxidation, reduction, hydrolysis, hydration, conjugation, condensation, or isomerization. The main goal of drug metabolism is to make the drug more hydrophilic and excrete easily. Enzymes involved in drug metabolism are found in many tissues and organs but are more concentrated in the liver. Rates of drug metabolism may vary among individuals. Some individuals metabolize a drug so rapidly; in others, metabolism may be so slow and have different effects. Genetic factors, coexisting disorders (particularly chronic liver disorders and advanced heart failure), and drug interactions are responsible factors for variation of rate of drug metabolism among individuals [26].
Generally, drug metabolism can be in three phases. In phase I drug metabolism, oxidoreductase enzymes such as cytochrome P450 oxidases add polar or reactive groups into drugs (xenobiotics). In phase I reaction, drugs are introduced into new or modified functional group through oxidation, reduction, and hydrolysis. In Phase II reactions, modified compounds are in conjugation with an endogenous substance, e.g., glucuronic acid, sulfate, and glycine. Phase II reactions are synthetic, and compounds become more polar and thus, more readily excreted by the kidneys (in urine) and the liver (in bile) than those formed in nonsynthetic reactions. At the end, in phase III reaction, the conjugated drugs (xenobiotics) may be further processed, before being recognized by efflux transporters and pumped out of cells. The metabolism of drug often converts hydrophobic compounds into hydrophilic products that are more readily excreted [27].
In normal cases, human body wants to remove or detoxify any compounds that cannot be metabolized otherwise utilized to serve the needs of the body. This removal process is carried out mainly by the liver. The liver has classes of oxidoreductase enzymes that are extremely effective at detoxification and removal of drugs from the body [5, 18].
6.1 Metabolism of drugs through cytochrome P450 monooxygenase
Oxidation and metabolism of a high number of drugs and endogenous molecules are catalyzed by a class of oxidoreductase enzymes called cytochrome P450 monooxygenases. Even though they are distributed throughout the body, cytochrome P450 enzymes are primarily concentrated in liver cells. The CYP2D6 isozymes play a great role in metabolizing certain opioids, neuroleptics, antidepressants, and cardiac medications. Currently it is going to be understood that difference in the genes for CYP450 enzymes play to inter-individual differences in the serum concentrations of drug metabolites, resulting in interpatient variability in drug efficacy and safety [28].
6.2 Metabolism of drugs with flavin-containing monooxygenase (FMO) system
Flavin-containing monooxygenases (FMOs) (EC 1.14.13.8) are a family of microsomal NADPH-dependent oxidoreductase, responsible for oxygenation of nucleophilic nitrogen, sulfur, phosphorus, other drugs, and endogenous molecules. Different variants of mammalian FMOs play a significant role in the oxygenation of nucleophilic xenobiotics. FMO utilizes NADPH as a cofactor and contains one FAD as a prosthetic group. FMOs have a broad substrate specificity and their activity is maximal at or above pH 8.4. FMO is a highly abundant enzyme in the liver endoplasmic reticulum and participates in drug metabolism (activation and detoxification) [29].
Before FMOs bind to a substrate, they activate molecular oxygen. First, flavin adenine dinucleotide (FAD), the prosthetic group of FMO, is reduced by NADPH to form FADH, then oxygen is added into the FAD, and hydro-peroxide FADH-4α-OOH is produced. And then, one oxygen atom is transferred to the substrate [30, 31].
6.3 Metabolism of drugs through alcohol dehydrogenase and aldehyde dehydrogenase
Alcohol dehydrogenase (ADH) and mitochondrial aldehyde dehydrogenase (ALDH) are another family of oxidoreductase responsible for metabolizing ethanol. These enzymes are highly expressed in the liver but at lower levels in many tissues and play a great role in detoxification and easy removal of alcohols. Liver is the main organ for ethanol metabolism. Oxidation of ethanol with these enzymes can become a major energy source especially in the liver, and it can interfere metabolism of other nutrients [32].
The first step in ethanol metabolism is its oxidation to acetaldehyde, and this reaction is catalyzed by enzymes called alcohol dehydrogenases (ADHs). The second reaction in ethanol metabolism is oxidation of acetaldehyde into acetate catalyzed by aldehyde dehydrogenase (ALDH) enzymes. There are different ADH and ALDH enzymes encoded by different genes occurring in several alleles and enzymes that have different alcohol metabolizing capacity; thereby, they influence individuals’ alcoholism risk. These are either through rapid oxidation of ethanol to acetaldehyde where there is more active ADH or slower oxidation of acetaldehyde into acetate where there are less active ALDH enzymes. Excess accumulation of acetaldehyde is toxic, which results in different adverse reactions and produces nausea, skin rash, rapid heartbeat, etc. Most commonly, single-nucleotide polymorphisms (SNPs) are responsible for ADH and ALDH gene variants, and these may occur on both coding and non-coding regions of the gene [33, 34].
6.4 Metabolism of drugs by monoamine oxidase (MAO)
Monoamine oxidase is a very important oxidoreductase enzyme mainly responsible for degradation of amine neurotransmitters like norepinephrine, epinephrine, serotonin, and dopamine. Oxidation of different endogenous and exogenous biogenic amines may produce other active or inactive metabolites. Monoamine oxidase (MAO) is found in two isozyme forms: monoamine oxidase A (MAO-A) preferentially deaminates serotonin, norepinephrine, epinephrine, and dietary vasopressors such as tyramine, and MAO-B preferentially deaminates dopamine and phenethylamine. They are integral flavoproteins components of outer mitochondrial membranes in neurons and glia cell. The two isozymes of MAO differ based on substrate specificity and sensitivity to different inhibitors [35].
Monoamine oxidase enzymes catalyze the primary catabolic pathway for 5-HT oxidative deamination. Serotonin is converted into 5-hydroxy-indoleacetaldehyde, and this product is further oxidized by a NAD-dependent aldehyde dehydrogenase to form 5-hydroxyindoleacetic acid (5-HIAA). Immunohistochemical techniques and in situ hybridization histochemistry techniques are used to study the neuroanatomical localization and biochemical nature of the two forms of MAO [36].
Different antidepressant drugs like phenelzine and tranylcypromine inhibit the activity of monoamine oxidase. These are a result of MAO metabolizes biogenic amines such as 5-HT, DA, and NE. In addition, different dopaminergic neurotoxins such as 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) are metabolized by MAO [37].
6.5 NADPH-cytochrome P450 reductase (CPR) in drug metabolism
Another essential class of oxidoreductase enzyme is NADPH-cytochrome P450 reductase (CPR). It is a membrane-bound protein localized in the ER membrane. PR involves in the detoxification and activation of a number of xenobiotics. CPR uses FAD and FMN as cofactors, and it transfers the hydride ion of NADPH to FAD, and then FAD transfers electrons to FMN and other oxidases. Finally, it reduces the P450 enzyme heme center to activate molecular oxygen. Thus, electrons transfer from NADPH to the P450 heme center by CPR, which is central for P450-catalyzed metabolism. Flow of electron can be expressed as follows:
NADPH→FAD→FMN→P450→O2E7
Human cytochrome P450 reductase is encoded by the POR gene. It is a 78-kDa multi domain diflavin reductase that binds both FMN and FAD and is attached to the cytoplasmic side of the endoplasmic reticulum via a transmembrane segment at its N-terminus [5, 15, 38].
7. Industrial application of oxidoreductase enzymes
Several industries such as pharmaceutical, foods, biofuel production, natural gas conversion, and others have used enzyme catalysis at commercial scale [39]. Classes of oxidoreductase enzymes are becoming a target by a number of industries. The family of oxidoreductase like heme-containing peroxidases and peroxygenases, flavin-containing oxidases and dehydrogenases, and different copper-containing oxidoreductases is involved in synthesis and degradation of interested products by the above industries and they are biocatalysts of interest for establishing a bio-based economy. Oxidoreductase enzymes have the highest potential in the production of polymer building blocks, sustainable chemicals, and materials from plant biomass within lignocellulose biorefineries [6, 7, 40].
7.1 Oxidoreductase enzymes in pharmaceutical industries
Enzymes are biological catalysts and have great specificity, efficiency, and selectivity in the reaction they catalyze [39]. Oxidoreductase enzymes have different redox-active centers for doing their functions. These unique features of oxidoreductase enzymes make it valuable targets of pharmaceutical and chemical industries. Advancement in recombinant DNA technology, protein engineering, and bioinformatics is a critical event in the application of enzymes in different industries. A number of dug synthesis processes require the involvement of oxidoreductase enzymes [6].
An oxidoreductase is involved in the synthesis of 3,4-dihydroxylphenyl alanine (DOPA), and 3,4-dihydroxylphenyl alanine is a drug used for treatment of Parkinson’s disease [41]. Similarly, a class of oxidoreductase called monoamine oxidase (MAO) catalyzes enantiomeric desymmetrization of bicyclic proline intermediate, which is an important precursor in the synthesis of boceprevir. Boceprevir is a NS3 protease inhibitor that is used for the treatment of chronic hepatitis C infections. Using MAO in this reaction reduces time and waste product generation and is economically cost-competitive and profitable [42]. Its coenzyme specificity makes oxidoreductase an effective biocatalyst in protein engineering [43]. In vitro different oxidoreductase enzymes are involved in regeneration of coenzymes, pyridine nucleotides, NAD(H) and NADP(H). Alcohol dehydrogenase and format dehydrogenase are frequently used enzymes for recycling of coenzymes, and the intermediate products are useful in the synthesis of pharmaceutical drugs such as mevinic acid [44, 45].
7.2 Oxidoreductase enzymes in agricultural sector
Enzymes are biological catalysts and have a number of applications in agricultural fields. Using enzymes has great efficacy and efficiency over chemical catalysts with respect to their productivity, time, cost, quality, and quantity products. There are different classes of oxidoreductase enzymes nowadays involved in fertilizer production, dairy processing, and other food processing in agricultural sector, and their cost-effectiveness and quality product were confirmed by a number of researches [3].
Manipulation of gene cod for different oxidoreductase in plants can also change the characters of plants in a way that it increases productivity and resists adverse effects of herbicide and environmental changes. For example, modification of DNA for glyphosate oxidoreductase (GOX) enzyme that catalyzes the oxidative cleavage of the C▬N bond on the carboxyl side of glyphosate, resulting in the formation of aminomethylphosphonic acid (AMPA) and glyoxylate thereby augmented expression of GOX plants, results in glyphosate herbicide side effect tolerance [46, 47]. Some families of oxidoreductase like xanthine dehydrogenase in plants are used to metabolize reactive oxygen species associated with plant-pathogen and protect plants from stress-induced oxidative damage. Upregulation of xanthine dehydrogenase expression in plants is helpful to increase productivity [48, 49].
Classes of oxidoreductase are also involved in dairy processing. Glucose oxidase produced by fungal species acts as preservatives in dairy products and other foods. The intermediate and end product of glucose oxidase have antimicrobial effect [50]. Isozyme of xanthine oxidoreductase in bovine milk, which catalyzes reduction of oxygen to generate reactive metabolite is used as an anti-microbial agent in the neonatal gastrointestinal tract [51]. Similarly, peroxidases which are a family of oxidoreductase found in higher plants catalyze the oxidation of many compounds including phenolics, in the presence of hydrogen peroxide responsible in browning or darkening of noodles and pasta and associated with a grain quality defect [52]. Protochlorophyllide oxidoreductase (POR), which exists in two isozymes POR A and POR B, plays a vital role in plant chlorophyll synthesis, and manipulation on these genes can induce plant development [53]. In general, there are a number of oxidoreductase enzymes found in plants, and their normal activity is crucial for qualitative and quantitative productivity of crops, and these were confirmed by a number of active researches. Different interventions are also going on at gene level to control the expression of oxidoreductase enzymes in plant as needed [3].
8. Disease related with oxidoreductase enzyme disorder
Oxidoreductase enzymes are involved in a number of valuable biochemical reactions in the living organism, and their qualitative and quantitative normality is essential. For example, one important class of oxidoreductase is xanthine oxidoreductase (XOR) that catalyzes oxidative hydroxylation of hypoxanthine to xanthine then to uric acid and over activity XOR leads to hyperuricemia and concomitant production of reactive oxygen species. In turn, hyperuricemia is confirmed as an independent risk factor for a number of clinical conditions such as gout, cardiovascular disease, hypertension, and others. Different urate-lowering drugs or XOR inhibitors are nowadays implemented to prevent and manage hyperuricemia disorder [9].
Another important class of oxidoreductase enzyme is cytochrome P450 oxidoreductase (POR) that is essential for multiple metabolic processes. Cytochrome P450 enzymes are involved in metabolism of steroid hormones, drugs, and xenobiotics. Nowadays, more than 200 different mutations and polymorphisms in POR gene have been identified and cause a complex set of disorders. Deficiency of cytochrome P450 oxidoreductase affects normal production of hormone; specifically, it affects steroid hormones, which are needed for normal development and reproduction. This is highly linked with the reproductive system, skeletal system, and other functions. Signs and symptoms can be seen from birth to adult age with different severities. Individuals with moderate cytochrome P450 oxidoreductase deficiency may have ambiguous external genitalia and have a high chance of infertility but a normal skeletal structure [5, 16, 18].
Aldehyde dehydrogenase 2 (ALDH2) deficiency known as Asian glow or alcohol flushing syndrome is a common genetic health problem that interferes with alcohol metabolism, and ALDH2 is a classical family of oxidoreductase enzymes. It was confirmed that ALDH2 deficiency results in the accumulation acetaldehyde, which is a toxic metabolite of alcohol metabolism and responsible for a number of health challenges like esophageal, head, and neck cancer. A number of researches conclude that acetaldehyde is a group 1 carcinogenic metabolite [33, 54]. Similarly, monoamine oxidase deficiency, which is a family oxidoreductase enzyme, affects the normal metabolism of serotonin and catecholamines. It is a rare X-linked disorder characterized by mild intellectual disability, and behavioral challenges appear at earlier age. Monoamine oxidase-A deficiency that occurs almost exclusively in males has episodes of skin flushing, excessive sweating, headaches, and diarrhea. Monoamine oxidase-A deficiency can be diagnosed by finding an elevated urinary concentration of the monoamine oxidase-A substrates in combination with reduced amounts of the monoamine oxidase products [36, 55].
Mitochondria generate huge amounts of energy (ATP) to eukaryotic cells through oxidation of fats and sugars; and fatty acid β-oxidation and oxidative phosphorylation are two metabolic pathways that are central to this process. Qualitative and quantitative normality of oxidoreductase enzymes involved in oxidative phosphorylation and fatty acid oxidations are essential to get sufficient energy (ATP) form metabolism. Deficiency of a complex I (NADH-CoQ oxidoreductase) is common, and a well-characterized mitochondrial problem causes reduced ATP production [56]. Complex I (NADH-CoQ oxidoreductase) is responsible for recycling of NADH to NAD+, and in turn, this is essential to sustain Krebs cycle and glycolysis. Mutations in both nuclear and mitochondrial DNA for Complex I gene are responsible for mitochondrial disease. Individuals with mitochondrial diseases suffer from an energy insufficiency characterized by myopathies, neuropathy, delayed development, cardiomyopathy, lactic acidosis, and others. Furthermore, since mitochondria are a hub of metabolism, mitochondrial dysfunctions are highly associated with metabolic diseases like hypertension, obesity, diabetes, neurodegenerative diseases, and even aging. Deficiency of complex I leads to elevation of NADH levels in the mitochondria that inhibit pyruvate dehydrogenase and α-ketoglutarate dehydrogenase. This condition completely inhibits Krebs cycle, and it is measured by CO2 evolution from [14C] labeled precursors. Similarly, complex II (succinate:ubiquinone oxidoreductase) deficiency affects both fatty acid oxidation and electron transport chain, and it induces retinopathies and encephalopathies [57, 58].
Deficiency of the pyruvate dehydrogenase complex (PDHC), another class of oxidoreductase enzymes, causes similar clinical and biochemical alteration in energy production with complex I (NADH-CoQ oxidoreductase) [59]. Both TCA cycle and respiratory chain can be affected by succinate dehydrogenase deficiency. Deficiency of oxidoreductase enzymes involved in Krebs cycle affects all carbohydrate, protein, fat, and nucleic acid metabolism as it is a common pathway for metabolism of the above macromolecules [60].
Oxidoreductase enzymes are also involved in bile acid synthesis. Classes of oxidoreductase enzymes called 3beta-hydroxy-Delta (5)-C (27)-steroid oxidoreductase catalyze an early step of bile acids synthesis from cholesterol and are encoded by HSD3B7 gene on chromosome 16p11.2-12. Mutations of HSD3B7 gene affect bile acids synthesis, cause development of progressive liver disease characterized by cholestatic jaundice, malabsorption of lipids, and lipid-soluble vitamins from the gastrointestinal tract, and finally progress to cirrhosis and liver failure [61].
One important biomolecule that acts as a precursor for other molecules and a component of cell membrane is cholesterol. Mammalian cells can get cholesterol from de novo biosynthesis or uptake of exogenously derived cholesterol associated with plasma low-density lipoprotein (LDL). 3-Hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) reductase, which is a class of oxidoreductase, catalyzes the rate-limiting steps of de novo cholesterol biosynthetic pathway and target for manipulation pharmacologically. Under or over activity of HMG-CoA reductase can disturb cholesterol homeostasis and lead to either hypercholesterolemia or hypocholesterolemia. And disturbed cholesterol level associated with number serious clinical problem like atherosclerosis [62, 63].
Conflict of interests
The authors declare that they have no competing interests.
Authors’ contributions
Mezgeu Legesse Habte drafted the paper and write the literature review.
Etsegenet Assefa assisted in guidance, critical assessment and peer review of the writing. Both authors have given their final approval of this version to be published. Both authors read and approved the final manuscript.
Ethical statement
Availability of data and material: All necessary data and materials related to the article are included in the article.
Funding: This review article is not funded by any person or organization (not funded).
\n',keywords:"biocatalyst, biological application, disease, metabolism, mutation, oxidoreductase",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/73110.pdf",chapterXML:"https://mts.intechopen.com/source/xml/73110.xml",downloadPdfUrl:"/chapter/pdf-download/73110",previewPdfUrl:"/chapter/pdf-preview/73110",totalDownloads:121,totalViews:0,totalCrossrefCites:0,dateSubmitted:"May 24th 2020",dateReviewed:"July 6th 2020",datePrePublished:"September 1st 2020",datePublished:"February 17th 2021",dateFinished:"September 1st 2020",readingETA:"0",abstract:"In biochemistry, oxidoreductase is a large group of enzymes that are involved in redox reaction in living organisms and in the laboratory. Oxidoreductase enzymes catalyze reaction involving oxygen insertion, hydride transfer, proton extraction, and other essential steps. There are a number of metabolic pathways like glycolysis, Krebs cycle, electron transport chain and oxidative phosphorylation, drug transformation and detoxification in liver, photosynthesis in chloroplast of plants, etc. that require the direct involvements of oxidoreductase enzymes. In addition, degradation of old and unnecessary endogenous biomolecules is catalyzed by a family of oxidoreductase enzymes, e.g., xanthine oxidoreductase. Oxidoreductase enzymes use NAD, FAD, or NADP as a cofactor and their efficiency, specificity, good biodegradability, and being studied well make it fit well for industrial applications. In the near future, oxidoreductase may be utilized as the best biocatalyst in pharmaceutical, food processing, and other industries. Oxidoreductase play a significant role in the field of disease diagnosis, prognosis, and treatment. By analyzing the activities of enzymes and changes of certain substances in the body fluids, the number of disease conditions can be diagnosed. Disorders resulting from deficiency (quantitative and qualitative) and excess of oxidoreductase, which may contribute to the metabolic abnormalities and decreased normal performance of life, are becoming common.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/73110",risUrl:"/chapter/ris/73110",signatures:"Mezgebu Legesse Habte and Etsegenet Assefa Beyene",book:{id:"9731",title:"Oxidoreductase",subtitle:null,fullTitle:"Oxidoreductase",slug:"oxidoreductase",publishedDate:"February 17th 2021",bookSignature:"Mahmoud Ahmed Mansour",coverURL:"https://cdn.intechopen.com/books/images_new/9731.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",editors:[{id:"224662",title:"Prof.",name:"Mahmoud Ahmed",middleName:null,surname:"Mansour",slug:"mahmoud-ahmed-mansour",fullName:"Mahmoud Ahmed Mansour"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:[{id:"321940",title:"M.Sc.",name:"Mezgebu Legesse",middleName:null,surname:"Habte",fullName:"Mezgebu Legesse Habte",slug:"mezgebu-legesse-habte",email:"mezgebulegesse@gmail.com",position:null,institution:null},{id:"322372",title:"MSc.",name:"Etsegenet Assefa",middleName:null,surname:"Beyene",fullName:"Etsegenet Assefa Beyene",slug:"etsegenet-assefa-beyene",email:"roseassefa@gmail.com",position:null,institution:{name:"Addis Ababa University",institutionURL:null,country:{name:"Ethiopia"}}}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Oxidoreductase in metabolism of foodstuff",level:"1"},{id:"sec_3",title:"3. Oxidoreductase in glycolysis",level:"1"},{id:"sec_4",title:"4. Oxidoreductase in TCA cycle",level:"1"},{id:"sec_5",title:"5. Oxidoreductase in electron transport chain and oxidative phosphorylation",level:"1"},{id:"sec_6",title:"6. Oxidoreductase in drug metabolism",level:"1"},{id:"sec_6_2",title:"6.1 Metabolism of drugs through cytochrome P450 monooxygenase",level:"2"},{id:"sec_7_2",title:"6.2 Metabolism of drugs with flavin-containing monooxygenase (FMO) system",level:"2"},{id:"sec_8_2",title:"6.3 Metabolism of drugs through alcohol dehydrogenase and aldehyde dehydrogenase",level:"2"},{id:"sec_9_2",title:"6.4 Metabolism of drugs by monoamine oxidase (MAO)",level:"2"},{id:"sec_10_2",title:"6.5 NADPH-cytochrome P450 reductase (CPR) in drug metabolism",level:"2"},{id:"sec_12",title:"7. Industrial application of oxidoreductase enzymes",level:"1"},{id:"sec_12_2",title:"7.1 Oxidoreductase enzymes in pharmaceutical industries",level:"2"},{id:"sec_13_2",title:"7.2 Oxidoreductase enzymes in agricultural sector",level:"2"},{id:"sec_15",title:"8. Disease related with oxidoreductase enzyme disorder",level:"1"},{id:"sec_19",title:"Conflict of interests",level:"1"},{id:"sec_16",title:"Authors’ contributions",level:"1"},{id:"sec_17",title:"Ethical statement",level:"1"}],chapterReferences:[{id:"B1",body:'Trisolini L, Gambacorta N, Gorgoglion R, et al. FAD/NADH dependent oxidoreductases: From different amino acid sequences to similar protein shapes for playing an ancient function. Journal of Clinical Medicine. 2019;8:2117'},{id:"B2",body:'McDonald A. The Enzyme List Class 1—Oxidoreductases. Nomenclature Committee of the International Union of Biochemistry and Molecular Biology (NC-IUBMB); 2019'},{id:"B3",body:'Gramss G, Rudeschko O. 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