The Role of Biosensors in Detection of SARS-CoV-2: State-of-the-Art and Future Prospects

Author:

Roy Nimisha1,Khadanga Abhipsha2,Dhwaj Amar1,Prabhakar Amit1ORCID,Verma Deepti3

Affiliation:

1. Department of Applied Sciences, Indian Institute of Information Technology-Allahabad, Prayagraj, India

2. Department of Biotechnology, Indian Institute of Technology, Hyderabad, Telangana, India

3. Department of Chemistry, University of Allahabad, Prayagraj, India

Abstract

Abstract: The world is fighting a pandemic so grave that perhaps it has never been witnessed before; COVID-19 is caused by the severe acute respiratory syndrome coronavirus 2 (SARSCoV- 2). As of August 31st, 2022, the WHO declared the total number of confirmed cases was 599,825,400, with 6,469,458 confirmed deaths from 223 countries under the scourge of this deadly virus. The SARS-CoV-2 is a β-coronavirus, which is an enveloped non-segmented positive- sense RNA virus. It is a close relative of the SARS and MERS viruses and has probably entered humans through bats. Human-to-human transmission is very rapid. People in contact with the patient or even the carriers became infected, leading to a widespread chain of contamination. We are presenting a mini-review on the role of biosensors in detecting SARS-CoV-2. Biosensors have been used for a very long time for viral detection and can be utilized for the prompt detection of the novel coronavirus. This article aims to provide a mini-review on the application of biosensors for the detection of the novel coronavirus with a focus on costeffective paper-based sensors, nanobiosensors, Field effect transistors (FETs), and lab-on-chip integrated platforms. Background: Biosensors have played a crucial role in viral detection for a long time. Objective: To present a comprehensive review of the biosensor application in SARS-Cov-2. Method: We have presented state-of-the-art work in the biosensors field for SARS-Cov-2 detection. Results: The biosensors presented here provide an innovative approach to detecting SARS-Cov- 2 infections early. Conclusion: Biosensors have tremendous potential in accurately detecting viral infections in pandemics requiring rapid screening.

Publisher

Bentham Science Publishers Ltd.

Subject

Pharmaceutical Science,Biomedical Engineering,Medicine (miscellaneous),Bioengineering,Biotechnology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3