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Development of a SERS-based lateral flow immunoassay for rapid and ultra-sensitive detection of anti-SARS-CoV-2 IgM/IgG in clinical samples

Open access
Liu, Haifeng, Dai, Erhei, Xiao, Rui, Zhou, Zihui, Zhang, Minli, Bai, Zikun, Shao, Ying, Qi, Kezong, Tu, Jian, Wang, Chongwen, Wang, Shengqi·2021·Sensors and Actuators B: Chemical

Abstract

The accurate and rapid screening of serum antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the key to control the spread of 2019 coronavirus disease (COVID-19). In this study, we reported a surface-enhanced Raman scattering-based lateral flow immunoassay (SERS-LFIA) for the simultaneous detection of anti-SARS-CoV-2 IgM/IgG with high sensitivity. Novel SERS tags labeled with dual layers of Raman dye were fabricated by coating a complete Ag shell on SiO2 core (SiO2@Ag) and exhibited excellent SERS signals, good monodispersity, and high stability. Anti-human IgM and IgG were immobilized onto the two test lines of the strip to capture the formed SiO2@Ag-spike (S) protein-anti-SARS-CoV-2 IgM/IgG immunocomplexes. The SERS signal intensities of the IgM and IgG test zones were easily recorded by a portable Raman instrument and used for the high-sensitivity analysis of target IgM and IgG. The limit of detection of SERS-LFIA was 800 times higher than that of standard Au nanoparticle-based LFIA for target IgM and IgG. The SERS-LFIA biosensor was tested on 19 positive serum samples from COVID-19 patients and 49 negative serum samples from healthy people to demonstrate the clinical feasibility of our proposed assay. The results revealed that the proposed method exhibited high accuracy and specificity for patients with SARS-CoV-2 infection.

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Metadata

Authors
Liu, H., Dai, E., Xiao, R., Zhou, Z., Zhang, M., Bai, Z., Shao, Y., Qi, K., Tu, J., Wang, C., & Wang, S.
Venue
Sensors and Actuators B: Chemical
Publisher
Elsevier BV
Published
2021-02
Volume
329
Pages
129196
ISSN
0925-4005 (ISSN-L)
OpenAlex
W3099109938
Cited by
267
References
24
FWCI
5.61
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Development of a SERS-based lateral flow immunoassay for rapid and ultra-sensitive detection of anti-SARS-CoV-2 IgM/IgG in clinical samples. https://app.cochat.ai/papers/10.1016/j.snb.2020.129196
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Liu, H., Dai, E., Xiao, R., Zhou, Z., Zhang, M., Bai, Z., Shao, Y., Qi, K., Tu, J., Wang, C., & Wang, S. (2021). Development of a SERS-based lateral flow immunoassay for rapid and ultra-sensitive detection of anti-SARS-CoV-2 IgM/IgG in clinical samples. Sensors and Actuators B: Chemical. https://doi.org/10.1016/j.snb.2020.129196

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