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.

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Publication Details

Journal
ACS ES&T Water
Published
2024-09-13
DOI
https://doi.org/10.1021/acsestwater.4c00468
Citations
5
Primary Topic
SARS-CoV-2 detection and testing
Type
article
Field-Weighted Citation Impact
1.95
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article

Electrochemical Signatures as a Diagnostic Tool for SARS-CoV-2 and Its Variant Detection in Real-Time Wastewater Samples

Athmakuri Tharak, Bodapati Asritha, S. Venkata Mohan
5 citations
ACS ES&T Water
SARS-CoV-2 detection and testing
1.95
article

Electrochemical Signatures as a Diagnostic Tool for SARS-CoV-2 and Its Variant Detection in Real-Time Wastewater Samples

Athmakuri Tharak, Bodapati Asritha, S. Venkata Mohan
article en
5 citations

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.

ACS ES&T WaterVol. 4(10)
Indian Institute of Chemical Technology (IN), Academy of Scientific and Innovative Research (IN)
Clean water and sanitation
Openalex Percentile: Top 14%
SARS-CoV-2 detection and testing
1.95
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Electrochemical Signatures as a Diagnostic Tool for SARS-CoV-2 and Its Variant Detection in Real-Time Wastewater Samples — Athmakuri Tharak, Bodapati Asritha, et al. · ACS ES&T Water (2024) | TGRS Research Map | TGRS