S. Panhwar, H. A. Keerio, A. Ali, N. H. Khokhar, M. Muqeet, G. S. Solangi
{"title":"利用改性玻璃碳电极检测病原菌的电化学免疫传感器与人工神经网络结合研究","authors":"S. Panhwar, H. A. Keerio, A. Ali, N. H. Khokhar, M. Muqeet, G. S. Solangi","doi":"10.1134/S0003683823060261","DOIUrl":null,"url":null,"abstract":"<div><p>We report here the results of studies related to the fabrication of an electrochemical immunosensor for the detection of <i>Escherichia coli</i> ATCC 25922 using AuNPs-GCE-avidin-Ab-<i>E. coli</i> based on complex compound. In the presence of targeted bacteria, the specific antibody was coated on the surface with gold nanoparticles (AuNPs). The detailed morphology of synthesized AuNPs was confirmed using analytical techniques. The proposed immunosensor revealed a high electrocatalytic activity and linear response at the peak potential value over a wide concentration of <i>E. coli</i> ATCC 25922 from 10<sup>1</sup> to 10<sup>5</sup> CFU/mL. The results were correlated with the linear equation of (<i>R</i><sup>2</sup> = 0.991). The recorded results were responded in the presence of targeted <i>E. coli</i> ATCC 25922 with other bacterial strains such as <i>Salmonella typhi, Klebsiella aerogenes</i>, and <i>E. coli</i> O57:H7 indicating a high selectivity of electrochemical immunosensor. A combined artificial neural network (ANN) approach serves as a powerful model to understand and analyze the intelligent data of the digital transformation output. The determined regression method of the fabricated sensor was selected for evaluation of the ANN-based technique that initiated to be a superior known method. The applied technique confirmed a great practical approach to targeted bacteria in spiked samples of the sandwich complex. Therefore, the satisfactory result demonstrates the feature of simulation data attainment and analysis is highly reliable and attractive. Moreover, the constructed immunosensor may be used to screen contaminated water and prevents an epidemic of life-threatening infectious disease.</p></div>","PeriodicalId":466,"journal":{"name":"Applied Biochemistry and Microbiology","volume":"59 6","pages":"975 - 985"},"PeriodicalIF":1.0000,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Electrochemical Immunosensor in Combination with an Artificial Neural Network Study for Pathogenic Bacteria Detection using a Modified Glassy Carbon Electrode\",\"authors\":\"S. Panhwar, H. A. Keerio, A. Ali, N. H. Khokhar, M. Muqeet, G. S. Solangi\",\"doi\":\"10.1134/S0003683823060261\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>We report here the results of studies related to the fabrication of an electrochemical immunosensor for the detection of <i>Escherichia coli</i> ATCC 25922 using AuNPs-GCE-avidin-Ab-<i>E. coli</i> based on complex compound. In the presence of targeted bacteria, the specific antibody was coated on the surface with gold nanoparticles (AuNPs). The detailed morphology of synthesized AuNPs was confirmed using analytical techniques. The proposed immunosensor revealed a high electrocatalytic activity and linear response at the peak potential value over a wide concentration of <i>E. coli</i> ATCC 25922 from 10<sup>1</sup> to 10<sup>5</sup> CFU/mL. The results were correlated with the linear equation of (<i>R</i><sup>2</sup> = 0.991). The recorded results were responded in the presence of targeted <i>E. coli</i> ATCC 25922 with other bacterial strains such as <i>Salmonella typhi, Klebsiella aerogenes</i>, and <i>E. coli</i> O57:H7 indicating a high selectivity of electrochemical immunosensor. A combined artificial neural network (ANN) approach serves as a powerful model to understand and analyze the intelligent data of the digital transformation output. The determined regression method of the fabricated sensor was selected for evaluation of the ANN-based technique that initiated to be a superior known method. The applied technique confirmed a great practical approach to targeted bacteria in spiked samples of the sandwich complex. Therefore, the satisfactory result demonstrates the feature of simulation data attainment and analysis is highly reliable and attractive. Moreover, the constructed immunosensor may be used to screen contaminated water and prevents an epidemic of life-threatening infectious disease.</p></div>\",\"PeriodicalId\":466,\"journal\":{\"name\":\"Applied Biochemistry and Microbiology\",\"volume\":\"59 6\",\"pages\":\"975 - 985\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2023-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Biochemistry and Microbiology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://link.springer.com/article/10.1134/S0003683823060261\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Biochemistry and Microbiology","FirstCategoryId":"99","ListUrlMain":"https://link.springer.com/article/10.1134/S0003683823060261","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
Electrochemical Immunosensor in Combination with an Artificial Neural Network Study for Pathogenic Bacteria Detection using a Modified Glassy Carbon Electrode
We report here the results of studies related to the fabrication of an electrochemical immunosensor for the detection of Escherichia coli ATCC 25922 using AuNPs-GCE-avidin-Ab-E. coli based on complex compound. In the presence of targeted bacteria, the specific antibody was coated on the surface with gold nanoparticles (AuNPs). The detailed morphology of synthesized AuNPs was confirmed using analytical techniques. The proposed immunosensor revealed a high electrocatalytic activity and linear response at the peak potential value over a wide concentration of E. coli ATCC 25922 from 101 to 105 CFU/mL. The results were correlated with the linear equation of (R2 = 0.991). The recorded results were responded in the presence of targeted E. coli ATCC 25922 with other bacterial strains such as Salmonella typhi, Klebsiella aerogenes, and E. coli O57:H7 indicating a high selectivity of electrochemical immunosensor. A combined artificial neural network (ANN) approach serves as a powerful model to understand and analyze the intelligent data of the digital transformation output. The determined regression method of the fabricated sensor was selected for evaluation of the ANN-based technique that initiated to be a superior known method. The applied technique confirmed a great practical approach to targeted bacteria in spiked samples of the sandwich complex. Therefore, the satisfactory result demonstrates the feature of simulation data attainment and analysis is highly reliable and attractive. Moreover, the constructed immunosensor may be used to screen contaminated water and prevents an epidemic of life-threatening infectious disease.
期刊介绍:
Applied Biochemistry and Microbiology is an international peer reviewed journal that publishes original articles on biochemistry and microbiology that have or may have practical applications. The studies include: enzymes and mechanisms of enzymatic reactions, biosynthesis of low and high molecular physiologically active compounds; the studies of their structure and properties; biogenesis and pathways of their regulation; metabolism of producers of biologically active compounds, biocatalysis in organic synthesis, applied genetics of microorganisms, applied enzymology; protein and metabolic engineering, biochemical bases of phytoimmunity, applied aspects of biochemical and immunochemical analysis; biodegradation of xenobiotics; biosensors; biomedical research (without clinical studies). Along with experimental works, the journal publishes descriptions of novel research techniques and reviews on selected topics.