Saliva-based point-of-care testing techniques for COVID-19 detection

Shiwen Wang; Ying Liu; Yang Qiu; Qian Dou; Yang Han; Muhan Huang; Ke Hong; Bei Yang; Xi Zhou; Qing Dai

doi:10.1016/j.virs.2022.04.004

June 2022

Citation: Shiwen Wang, Ying Liu, Yang Qiu, Qian Dou, Yang Han, Muhan Huang, Ke Hong, Bei Yang, Xi Zhou, Qing Dai. Saliva-based point-of-care testing techniques for COVID-19 detection .VIROLOGICA SINICA, 2022, 37(3) : 472-476. http://dx.doi.org/10.1016/j.virs.2022.04.004

Saliva-based point-of-care testing techniques for COVID-19 detection

Shiwen Wang ^a,b ,
Ying Liu ^d ,
Yang Qiu ^c ,
Qian Dou ^a,e ,
Yang Han ^c,d ,
Muhan Huang ^c ,
Ke Hong ^d ,
Bei Yang ^{a,e
,,} ,
Xi Zhou ^{c,d
,,} ,
Qing Dai ^{a,e
,,}

a CAS Key Laboratory of Nanophotonic Materials and Devices, CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China;
b Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Sciences, Tianjin University, Tianjin, 300072, China;
c State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, 430071, China;
d Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, Wuhan Jinyintan Hospital, Wuhan, 430048, China;
e Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China

Corresponding author: Bei Yang, yangb2020@nanoctr.cn
Xi Zhou, zhouxi@wh.iov.cn
Qing Dai, daiq@nanoctr.cn
Received Date: 02 September 2021
Accepted Date: 30 March 2022
Available online: 01 May 2022

Abstract

Highlights
1. The advantages of COVID-19 detection in saliva were systematically introduced.
2. Saliva-based POCT technologies for the detection of COVID-19 were reviewed.
3. A positive correlation between COVID-19 antibodies in saliva and serum was demonstrated.

Electronic Supplementary Material

10.1016j.virs.2022.04.004-ESM.docx
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