Issue 35, 2022

The role of electrochemical biosensors in SARS-CoV-2 detection: a bibliometrics-based analysis and review

Abstract

The global pandemic of COVID-19, which began in late 2019, has resulted in extremely high morbidity and severe mortality worldwide, with important implications for human health, international trade, and national politics. Severe acute respiratory syndrome coronavirus (SARS-CoV-2) is the primary pathogen causing COVID-19. Analytical chemistry played an important role in this global epidemic event, and detection of SARS-CoV-2 even became a part of daily life. Analytical chemists have devoted much effort and enthusiasm to this event, and different analytical techniques have shown very rapid development. Electrochemical biosensors are highly efficient, sensitive, and cost-effective and have been used to detect many highly pathogenic viruses long before this event. However, another fact is that electrochemical biosensors are not the technology of choice for most detection applications. This review describes for the first time the role played by electrochemical biosensors in SARS-CoV-2 detection from a bibliometric perspective. This paper analyzed 254 relevant research papers up to June 2022. The contributions of different countries and institutions to this topic were analyzed. Keyword analysis was used to explore different methodological attempts of electrochemical detection techniques. More importantly, we are trying to find an answer to the question: do electrochemical biosensors have the potential to become a genuinely employable detection technology in an outbreak of infectious disease?

Graphical abstract: The role of electrochemical biosensors in SARS-CoV-2 detection: a bibliometrics-based analysis and review

Associated articles

Article information

Article type
Review Article
Submitted
05 Jul 2022
Accepted
03 Aug 2022
First published
12 Aug 2022
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2022,12, 22592-22607

The role of electrochemical biosensors in SARS-CoV-2 detection: a bibliometrics-based analysis and review

S. Mao, L. Fu, C. Yin, X. Liu and H. Karimi-Maleh, RSC Adv., 2022, 12, 22592 DOI: 10.1039/D2RA04162F

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