Electrochemical and optical-based systems for SARS-COV-2 and various pathogens assessment

Author:

Ahmed Shahzad,Ansari Arshiya,Siddiqui Moin Ali,Imran Mohd,Kumari Beauty,Khan Afzal,Ranjan Pranay

Abstract

Abstract A critical step in the process for preventing and identifying emergencies relating to health, safety, and welfare is the testing and quick diagnosis of microbial pathogens. Due to the fast spread of waterborne and food borne infections in society and the high costs associated with them, pathogen identification has emerged as one of the most difficult parts of the water and food sectors. Since the turn of the century, pathogens have demonstrated enormous epidemiological and pandemic potential. The emergence and dissemination of a novel virus with pandemic potential endanger the livelihoods and well-being of individuals worldwide. The severe acute respiratory syndrome-coronavirus-2 (SARS-COV-2) coronavirus pandemic has propagated to almost every country on Earth and has had a considerable negative influence on economies and communities. Despite improvements in identification techniques for viral diseases, all nations must now execute biosensing in a speedy, sensitive, focused, and consistent manner in order to address pressing global issues. Hence, in this review, we have critically summarised the recent advancement of electrochemical as well as optical biosensors for the monitoring of SARS-COV-2 and various pathogens. Then, we began by providing a technical overview of cutting-edge strategies utilised to combat diseases and emergencies for it, including the utilisation of point-of-care technology (POCT), artificial intelligence (AI), and the internet of medical things (IoMT). This review article explores the integration of POC, IoMT, and AI technologies in the context of personal healthcare, focusing on their potential to expedite the diagnosis and treatment of medical conditions, ultimately leading to improved patient outcomes. Subsequently, the notion and execution of multiplex testing are presented to enhance the comprehension of detecting multiple analytes. Finally, conclusions and future directions have been presented.

Publisher

IOP Publishing

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,General Materials Science

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