2021, Volume 14, Issue 4, pp 431 – 442

Rapid diagnostic methods for SARS-CoV-2 (COVID-19) detection: an evidence-based report

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Authors and Affiliations

* Corresponding Author: Manish Kumar Verma, Researcher, Department of Biochemistry G.S.V.M. Medical College, Kanpur, India, E-mail: manishverma8919@gmail.com

Both authors have contributed equally to the manuscript.

Abstract

Since December 2019, the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has been a global health concern. The transmission method is human-to-human. Since this second wave of SARS-CoV-2 is more aggressive than the first wave, rapid testing is warranted to use practical diagnostics to break the transfer chain. Currently, various techniques are used to diagnose SARS-CoV-2 infection, each with its own set of advantages and disadvantages. A full review of online databases such as PubMed, EMBASE, Web of Science, and Google Scholar was analyzed to identify relevant articles focusing on SARS-CoV-2 and diagnosis and therapeutics. The most recent article search was on May 10, 2021. We summarize promising methods for detecting the novel Coronavirus using sensor-based diagnostic technologies that are sensitive, cost-effective, and simple to use at the point of care. This includes loop-mediated isothermal amplification and several laboratory protocols for confirming suspected 2019-nCoV cases, as well as studies with non-commercial laboratory protocols based on real-time reverse transcription-polymerase chain reaction and a field-effect transistor-based bio-sensing device. We discuss a potential discovery that could lead to the mass and targeted SARS-CoV-2 detection needed to manage the COVID-19 pandemic through infection succession and timely therapy.

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About this article

PMC ID: 8485368
PubMed ID: 34621365
DOI: 10.25122/jml-2021-0168

Article Publishing Date (print): Jul-Aug 2021
Available Online: 

Journal information

ISSN Printing: 1844-122X
ISSN Online: 1844-3117
Journal Title: Journal of Medicine and Life

Copyright License: Open Access

This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use and redistribution provided that the original author and source are credited.


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