Issue 23, 2023

Diagnostics and analysis of SARS-CoV-2: current status, recent advances, challenges and perspectives

Abstract

The disastrous spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has induced severe public healthcare issues and weakened the global economy significantly. Although SARS-CoV-2 infection is not as fatal as the initial outbreak, many infected victims suffer from long COVID. Therefore, rapid and large-scale testing is critical in managing patients and alleviating its transmission. Herein, we review the recent advances in techniques to detect SARS-CoV-2. The sensing principles are detailed together with their application domains and analytical performances. In addition, the advantages and limits of each method are discussed and analyzed. Besides molecular diagnostics and antigen and antibody tests, we also review neutralizing antibodies and emerging SARS-CoV-2 variants. Further, the characteristics of the mutational locations in the different variants with epidemiological features are summarized. Finally, the challenges and possible strategies are prospected to develop new assays to meet different diagnostic needs. Thus, this comprehensive and systematic review of SARS-CoV-2 detection technologies may provide insightful guidance and direction for developing tools for the diagnosis and analysis of SARS-CoV-2 to support public healthcare and effective long-term pandemic management and control.

Graphical abstract: Diagnostics and analysis of SARS-CoV-2: current status, recent advances, challenges and perspectives

Article information

Article type
Review Article
Submitted
02 12月 2022
Accepted
03 5月 2023
First published
03 5月 2023
This article is Open Access

All publication charges for this article have been paid for by the Royal Society of Chemistry
Creative Commons BY license

Chem. Sci., 2023,14, 6149-6206

Diagnostics and analysis of SARS-CoV-2: current status, recent advances, challenges and perspectives

T. Dong, M. Wang, J. Liu, P. Ma, S. Pang, W. Liu and A. Liu, Chem. Sci., 2023, 14, 6149 DOI: 10.1039/D2SC06665C

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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