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Magnetic/fluorescent dual-modal lateral flow immunoassay based on multifunctional nanobeads for rapid and accurate SARS-CoV-2 nucleocapsid protein detection.

Authors :
Xie Z
Feng S
Pei F
Xia M
Hao Q
Liu B
Tong Z
Wang J
Lei W
Mu X
Source :
Analytica chimica acta [Anal Chim Acta] 2022 Nov 15; Vol. 1233, pp. 340486. Date of Electronic Publication: 2022 Oct 07.
Publication Year :
2022

Abstract

The SARS-CoV-2 pandemic has posed a huge challenge to rapid and accurate diagnosis of SARS-CoV-2 in the early stage of infection. In this work, we developed a novel magnetic/fluorescent dual-modal lateral flow immunoassay (LFIA) based on multifunctional nanobeads for rapid and accurate determination of SARS-CoV-2 nucleocapsid protein (NP). The multifunctional nanobeads were fabricated by using polyethyleneimine (PEI) as a mediate shell to combine superparamagnetic Fe <subscript>3</subscript> O <subscript>4</subscript> core with dual quantum dot shells (MagDQD). The core-shell structure of MagDQD label with high loading density of quantum dots (QDs) and superior magnetic content realized LFIA with dual quantitative analysis modal from the assemblies of individual single nanoparticles. The LFIA integrated the advantages of magnetic signal and fluorescent signal, resulting excellent accuracy for quantitative analysis and high elasticity of the overall detection. In addition, magnetic signal and fluorescent signal both had high sensitivity with the limit of detection (LOD) as 0.235 ng mL <superscript>-1</superscript> and 0.012 ng mL <superscript>-1</superscript> , respectively. The recovery rates of the methods in simulated saliva samples were 91.36%-103.60% (magnetic signal) and 94.39%-104.38% (fluorescent signal). The results indicate the method has a considerable potential to be an effective tool for diagnose SARS-CoV-2 in the early stage of infection.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2022 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1873-4324
Volume :
1233
Database :
MEDLINE
Journal :
Analytica chimica acta
Publication Type :
Academic Journal
Accession number :
36283777
Full Text :
https://doi.org/10.1016/j.aca.2022.340486