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Optical lateral flow assays in early diagnosis of SARS-CoV-2 infection.
Liang, Rushi; Fan, Aiping; Wang, Feiqian; Niu, Yajing.
Afiliação
  • Liang R; School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, 300072, People's Republic of China.
  • Fan A; School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, 300072, People's Republic of China. fanap@tju.edu.cn.
  • Wang F; School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, 300072, People's Republic of China.
  • Niu Y; Beijing Pharma and Biotech Center, Beijing, 100035, People's Republic of China. yajing.531@163.com.
Anal Sci ; 2024 May 17.
Article em En | MEDLINE | ID: mdl-38758251
ABSTRACT
So far, the 2019 novel coronavirus (COVID-19) is spreading widely worldwide. The early diagnosis of infection by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is essential to provide timely treatment and prevent its further spread. Lateral flow assays (LFAs) have the advantages of rapid detection, simple operation, low cost, ease of mass production, and no need for special devices and professional operators, which make them suitable for self-testing at home. This review focuses on the early diagnosis of SARS-CoV-2 infection based on optical LFAs including colorimetric, fluorescent (FL), chemiluminescent (CL), and surface-enhanced Raman scattering (SERS) LFAs for the detection of SARS-CoV-2 antigens and nucleic acids. The types of recognition components, detection modes used for antigen detection, labels employed in different optical LFAs, and strategies to improve the detection sensitivity of LFAs were reviewed. Meanwhile, LFAs coupled with different nucleic acid amplification techniques and CRISPR-Cas systems for the detection of SARS-CoV-2 nucleic acids were summarized. We hope this review provides research mentalities for developing highly sensitive LFAs that can be used in home self-testing for the early diagnosis of SARS-CoV-2 infection.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Anal Sci Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Anal Sci Ano de publicação: 2024 Tipo de documento: Article