Athmakuri Tharak, Bodapati Asritha, S. Venkata Mohan
{"title":"电化学特征作为实时检测废水样本中 SARS-CoV-2 及其变异体的诊断工具","authors":"Athmakuri Tharak, Bodapati Asritha, S. Venkata Mohan","doi":"10.1021/acsestwater.4c00468","DOIUrl":null,"url":null,"abstract":"The global outbreak of SARS-CoV-2/COVID-19 has significantly affected public health and healthcare systems, highlighting the urgent need for fast and sensitive COVID-19 detection methods. In this study, an electrochemical setup utilizing bare electrodes was developed to detect viral RNA in real-time samples. Initially, individual nucleotides (adenosine, guanosine, and cytidine) were analyzed at varying concentrations to predict the detection sensitivity of cell. Subsequently, different concentrations of a synthetic COVID-19 sample containing the E-gene were analysed, and changes in electrochemical current were detected with a linear relationship between E-gene copies and reduction peak current intensity. This electrochemical setup capability was further validated by detecting the viral genome in wastewater, with a distinct electrochemical signatures. Especially, the electrochemical system demonstrated nearly 99% accuracy in distinguishing between positive and negative samples, depicting high sensitivity and precision for detecting COVID-19 and its variants. A peak voltage shift in fast-scan cyclic voltammograms was observed for B.1.1 and B.1.1.7 (0.12 to 0.15 V) and for B.1.1.5 and B.1.1.6 variants (0.06 to 0.08 V), indicating a viable approach for rapid detection of COVID-19 and its variants. This electrochemical sensor-based technology could enhance pathogen detection capability in sewage and improve environmental health monitoring from one health perspective.","PeriodicalId":7078,"journal":{"name":"ACS Es&t Water","volume":"21 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Electrochemical Signatures as a Diagnostic Tool for SARS-CoV-2 and Its Variant Detection in Real-Time Wastewater Samples\",\"authors\":\"Athmakuri Tharak, Bodapati Asritha, S. Venkata Mohan\",\"doi\":\"10.1021/acsestwater.4c00468\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The global outbreak of SARS-CoV-2/COVID-19 has significantly affected public health and healthcare systems, highlighting the urgent need for fast and sensitive COVID-19 detection methods. In this study, an electrochemical setup utilizing bare electrodes was developed to detect viral RNA in real-time samples. Initially, individual nucleotides (adenosine, guanosine, and cytidine) were analyzed at varying concentrations to predict the detection sensitivity of cell. Subsequently, different concentrations of a synthetic COVID-19 sample containing the E-gene were analysed, and changes in electrochemical current were detected with a linear relationship between E-gene copies and reduction peak current intensity. This electrochemical setup capability was further validated by detecting the viral genome in wastewater, with a distinct electrochemical signatures. Especially, the electrochemical system demonstrated nearly 99% accuracy in distinguishing between positive and negative samples, depicting high sensitivity and precision for detecting COVID-19 and its variants. A peak voltage shift in fast-scan cyclic voltammograms was observed for B.1.1 and B.1.1.7 (0.12 to 0.15 V) and for B.1.1.5 and B.1.1.6 variants (0.06 to 0.08 V), indicating a viable approach for rapid detection of COVID-19 and its variants. This electrochemical sensor-based technology could enhance pathogen detection capability in sewage and improve environmental health monitoring from one health perspective.\",\"PeriodicalId\":7078,\"journal\":{\"name\":\"ACS Es&t Water\",\"volume\":\"21 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Es&t Water\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1021/acsestwater.4c00468\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Es&t Water","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1021/acsestwater.4c00468","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Electrochemical Signatures as a Diagnostic Tool for SARS-CoV-2 and Its Variant Detection in Real-Time Wastewater Samples
The global outbreak of SARS-CoV-2/COVID-19 has significantly affected public health and healthcare systems, highlighting the urgent need for fast and sensitive COVID-19 detection methods. In this study, an electrochemical setup utilizing bare electrodes was developed to detect viral RNA in real-time samples. Initially, individual nucleotides (adenosine, guanosine, and cytidine) were analyzed at varying concentrations to predict the detection sensitivity of cell. Subsequently, different concentrations of a synthetic COVID-19 sample containing the E-gene were analysed, and changes in electrochemical current were detected with a linear relationship between E-gene copies and reduction peak current intensity. This electrochemical setup capability was further validated by detecting the viral genome in wastewater, with a distinct electrochemical signatures. Especially, the electrochemical system demonstrated nearly 99% accuracy in distinguishing between positive and negative samples, depicting high sensitivity and precision for detecting COVID-19 and its variants. A peak voltage shift in fast-scan cyclic voltammograms was observed for B.1.1 and B.1.1.7 (0.12 to 0.15 V) and for B.1.1.5 and B.1.1.6 variants (0.06 to 0.08 V), indicating a viable approach for rapid detection of COVID-19 and its variants. This electrochemical sensor-based technology could enhance pathogen detection capability in sewage and improve environmental health monitoring from one health perspective.