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Handheld NIR-to-NIR Platform for on-site evaluating protective neutralizing antibody against SARS-CoV-2 ancestral strain and Omicron variant after vaccination or infection.

Authors :
Song, Qingwei
Zhao, Lei
Mai, Weikang
Xia, Daoyu
Ding, Weidong
Zhou, Xiaomian
Deng, Min
Lei, Yu
Chen, Lu
Li, Yantao
Mai, Xiaorui
Zhang, Lei
Chen, Zheng
Qin, Yiru
Ren, Ruiwen
Wei, Wei
Ji, Tianxing
Source :
Biosensors & Bioelectronics. Aug2023, Vol. 234, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

Lateral flow assays (LFAs) are promising points-of-care tests, playing a vital role in diseases screening, diagnosis and surveillance. However, development of portable, cheap, and smart LFAs platform for sensitive and accurate quantification of disease biomarkers in complex media is challenging. Here, a cheap handheld device was developed to realize on-site detection of disease biomarkers by Nd3+/Yb3+ co-doped near-infrared (NIR)-to-NIR downconversion nanoparticles (DCNPs) based LFA. Its sensitivity is at least 8-fold higher for detecting NIR light signal from Nd3+/Yb3+ co-doped nanoparticles than conventional expensive InGaAs camera based detection platform. Additionally, we enhance NIR quantum yield of Nd3+/Yb3+ co-doped nanoparticles up to 35.5% via simultaneous high dopant of sensitizer ions Nd3+ and emitter ions Yb3+. Combination of NIR-to-NIR handheld detection device and ultra-bright NIR emitting NaNbF 4 :Yb60%@NaLuF 4 nanoparticle probe allows the detection sensitivity of SARS-CoV-2 ancestral strain and Omicron variants specific neutralizing antibodies LFA up to the level of commercial enzyme linked immunosorbent assay kit. Furthermore, by this robust method, enhanced neutralizing antibodies against SARS-CoV-2 ancestral strain and Omicron variants are observed in healthy participants with Ad5-nCoV booster on top of two doses of inactivated vaccine. This NIR-to-NIR handheld platform provides a promising strategy for on-site evaluating protective humoral immunity after SARS-CoV-2 vaccination or infection. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09565663
Volume :
234
Database :
Academic Search Index
Journal :
Biosensors & Bioelectronics
Publication Type :
Academic Journal
Accession number :
163716154
Full Text :
https://doi.org/10.1016/j.bios.2023.115353