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Cited by 383

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Detection of COVID-19: A review of the current literature and future perspectives

Open access
Ji, Tianxing, Liu, Zhenwei, Wang, GuoQiang, Guo, Xuguang, Akbar khan, Shahzad, Lai, Changchun, Chen, Haoyu, Huang, Shiwen, Xia, Shaomei, Chen, Bo, Jia, Hongyun, Chen, Yangchao, Zhou, Qiang·2020·Biosensors and Bioelectronics

Abstract

The rapid spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to the coronavirus disease 2019 (COVID-19) worldwide pandemic. This unprecedented situation has garnered worldwide attention. An effective strategy for controlling the COVID-19 pandemic is to develop highly accurate methods for the rapid identification and isolation of SARS-CoV-2 infected patients. Many companies and institutes are therefore striving to develop effective methods for the rapid detection of SARS-CoV-2 ribonucleic acid (RNA), antibodies, antigens, and the virus. In this review, we summarize the structure of the SARS-CoV-2 virus, its genome and gene expression characteristics, and the current progression of SARS-CoV-2 RNA, antibodies, antigens, and virus detection. Further, we discuss the reasons for the observed false-negative and false-positive RNA and antibody detection results in practical clinical applications. Finally, we provide a review of the biosensors which hold promising potential for point-of-care detection of COVID-19 patients. This review thereby provides general guidelines for both scientists in the biosensing research community and for those in the biosensor industry to develop a highly sensitive and accurate point-of-care COVID-19 detection system, which would be of enormous benefit for controlling the current COVID-19 pandemic.

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Metadata

Authors
Ji, T., Liu, Z., Wang, G., Guo, X., Akbar khan, S., Lai, C., Chen, H., Huang, S., Xia, S., Chen, B., Jia, H., Chen, Y., & Zhou, Q.
Venue
Biosensors and Bioelectronics
Publisher
Elsevier BV
Published
2020-10
Volume
166
Pages
112455
ISSN
0956-5663 (ISSN-L)
OpenAlex
W3044223324
Cited by
383
References
9
FWCI
9.60
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Detection of COVID-19: A review of the current literature and future perspectives. https://app.cochat.ai/papers/10.1016/j.bios.2020.112455
The paper
Ji, T., Liu, Z., Wang, G., Guo, X., Akbar khan, S., Lai, C., Chen, H., Huang, S., Xia, S., Chen, B., Jia, H., Chen, Y., & Zhou, Q. (2020). Detection of COVID-19: A review of the current literature and future perspectives. Biosensors and Bioelectronics. https://doi.org/10.1016/j.bios.2020.112455

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