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Research Article | Open Access

Development and Head-to-Head Comparison of TwoColloidal gold Based SerologicLateral Flow Assays for SARS-CoV-2 Antibody Tests

Jing Tian1, Kan Wang2, Yanlei Liu2, Hui liang1, Xueling Li1, Daxiang Cui1,2( )
National Engineering Research Center for Nanotechnology, Shanghai, China
Institute of Nano Biomedicine and Engineering, Shanghai Engineering Research Centre for Intelligent Diagnosis and Treatment Instrument, Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
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Abstract

To combat the COVID-19 pandemic, serologic lateral flow immunoassays are required to facilitate accurate diagnosis of SARS-CoV-2 infection and confirmation of molecular results. This study evaluated sensitivity of two different designs of colloidal gold serologic tests (antigen based total antibody test and antibody based IgG test) by using residual serum samples from patients who were evaluated for SARS-CoV-2 infection status by polymerase chain reaction (PCR). The results showed 100% specificity for both tests, while when testing of 16 positive patients, the data showed 90% sensitivity for total antibody test and 30% for IgG test. This study demonstrates high diagnostic accuracy for anti-SARS-CoV-2 total antibody tests and will facilitate further development and selection of serological assays.

Keywords

SARS-CoV-2COVID-19Rapid point-of-care tests (POCTs)Serologic lateral flow assays (LFA)Colloidal gold

References

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Nano Biomedicine and Engineering
Volume 12 Issue 4,
December 2020
Pages 306-310
DOI: 10.5101/nbe.v12i4.p306-310

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Cite this article:
Tian J, Wang K, Liu Y, et al. Development and Head-to-Head Comparison of TwoColloidal gold Based SerologicLateral Flow Assays for SARS-CoV-2 Antibody Tests. Nano Biomedicine and Engineering, 2020, 12(4): 306-310. https://doi.org/10.5101/nbe.v12i4.p306-310

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Received: 25 August 2020
Accepted: 31 August 2020
Published: 25 October 2020
© Jing Tian, Wang Kan, Liu Yanlei, Liang Hui, Li Xueling, and Cui Daxiang.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.