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B-Cell-Epitope-Based Fluorescent Quantum Dot Biosensors for SARS-CoV-2 Enable Highly Sensitive COVID-19 Antibody Detection

A new antibody diagnostic assay with more rapid and robust properties is demanded to quantitatively evaluate anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunity in a large population. Here, we developed a nanometer-scale fluorescent biosensor system consisting of CdSe-ZnS quan...

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Detalles Bibliográficos
Autores principales: Zheng, Yucheng, Song, Kun, Cai, Kun, Liu, Linlin, Tang, Dixiao, Long, Wenbo, Zhai, Bohui, Chen, Jianjun, Tao, Yanbing, Zhao, Yunong, Liang, Simeng, Huang, Qing, Liu, Qianyun, Zhang, Qi, Chen, Yu, Liu, Yingle, Li, Huayao, Wang, Ping, Lan, Ke, Liu, Huan, Xu, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145955/
https://www.ncbi.nlm.nih.gov/pubmed/35632772
http://dx.doi.org/10.3390/v14051031
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author Zheng, Yucheng
Song, Kun
Cai, Kun
Liu, Linlin
Tang, Dixiao
Long, Wenbo
Zhai, Bohui
Chen, Jianjun
Tao, Yanbing
Zhao, Yunong
Liang, Simeng
Huang, Qing
Liu, Qianyun
Zhang, Qi
Chen, Yu
Liu, Yingle
Li, Huayao
Wang, Ping
Lan, Ke
Liu, Huan
Xu, Ke
author_facet Zheng, Yucheng
Song, Kun
Cai, Kun
Liu, Linlin
Tang, Dixiao
Long, Wenbo
Zhai, Bohui
Chen, Jianjun
Tao, Yanbing
Zhao, Yunong
Liang, Simeng
Huang, Qing
Liu, Qianyun
Zhang, Qi
Chen, Yu
Liu, Yingle
Li, Huayao
Wang, Ping
Lan, Ke
Liu, Huan
Xu, Ke
author_sort Zheng, Yucheng
collection PubMed
description A new antibody diagnostic assay with more rapid and robust properties is demanded to quantitatively evaluate anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunity in a large population. Here, we developed a nanometer-scale fluorescent biosensor system consisting of CdSe-ZnS quantum dots (QDs) coupled with the highly sensitive B-cell epitopes of SARS-CoV-2 that could remarkably identify the corresponding antibody with a detection limit of 100 pM. Intriguingly, we found that fluorescence quenching of QDs was stimulated more obviously when coupled with peptides than the corresponding proteins, indicating that the energy transfer between QDs and peptides was more effective. Compared to the traditional enzyme-linked immunosorbent assay (ELISA), the B-cell-epitope-based QD-biosensor could robustly distinguish coronavirus disease 2019 (COVID-19) antibody-positive patients from uninfected individuals with a higher sensitivity (92.3–98.1% positive rates by QD-biosensor vs. 78.3–83.1% positive rates by ELISAs in 207 COVID-19 patients’ sera) in a more rapid (5 min) and labor-saving manner. Taken together, the ‘QD-peptides’ biosensor provided a novel real-time, quantitative, and high-throughput method for clinical diagnosis and home-use tests.
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spelling pubmed-91459552022-05-29 B-Cell-Epitope-Based Fluorescent Quantum Dot Biosensors for SARS-CoV-2 Enable Highly Sensitive COVID-19 Antibody Detection Zheng, Yucheng Song, Kun Cai, Kun Liu, Linlin Tang, Dixiao Long, Wenbo Zhai, Bohui Chen, Jianjun Tao, Yanbing Zhao, Yunong Liang, Simeng Huang, Qing Liu, Qianyun Zhang, Qi Chen, Yu Liu, Yingle Li, Huayao Wang, Ping Lan, Ke Liu, Huan Xu, Ke Viruses Article A new antibody diagnostic assay with more rapid and robust properties is demanded to quantitatively evaluate anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunity in a large population. Here, we developed a nanometer-scale fluorescent biosensor system consisting of CdSe-ZnS quantum dots (QDs) coupled with the highly sensitive B-cell epitopes of SARS-CoV-2 that could remarkably identify the corresponding antibody with a detection limit of 100 pM. Intriguingly, we found that fluorescence quenching of QDs was stimulated more obviously when coupled with peptides than the corresponding proteins, indicating that the energy transfer between QDs and peptides was more effective. Compared to the traditional enzyme-linked immunosorbent assay (ELISA), the B-cell-epitope-based QD-biosensor could robustly distinguish coronavirus disease 2019 (COVID-19) antibody-positive patients from uninfected individuals with a higher sensitivity (92.3–98.1% positive rates by QD-biosensor vs. 78.3–83.1% positive rates by ELISAs in 207 COVID-19 patients’ sera) in a more rapid (5 min) and labor-saving manner. Taken together, the ‘QD-peptides’ biosensor provided a novel real-time, quantitative, and high-throughput method for clinical diagnosis and home-use tests. MDPI 2022-05-12 /pmc/articles/PMC9145955/ /pubmed/35632772 http://dx.doi.org/10.3390/v14051031 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zheng, Yucheng
Song, Kun
Cai, Kun
Liu, Linlin
Tang, Dixiao
Long, Wenbo
Zhai, Bohui
Chen, Jianjun
Tao, Yanbing
Zhao, Yunong
Liang, Simeng
Huang, Qing
Liu, Qianyun
Zhang, Qi
Chen, Yu
Liu, Yingle
Li, Huayao
Wang, Ping
Lan, Ke
Liu, Huan
Xu, Ke
B-Cell-Epitope-Based Fluorescent Quantum Dot Biosensors for SARS-CoV-2 Enable Highly Sensitive COVID-19 Antibody Detection
title B-Cell-Epitope-Based Fluorescent Quantum Dot Biosensors for SARS-CoV-2 Enable Highly Sensitive COVID-19 Antibody Detection
title_full B-Cell-Epitope-Based Fluorescent Quantum Dot Biosensors for SARS-CoV-2 Enable Highly Sensitive COVID-19 Antibody Detection
title_fullStr B-Cell-Epitope-Based Fluorescent Quantum Dot Biosensors for SARS-CoV-2 Enable Highly Sensitive COVID-19 Antibody Detection
title_full_unstemmed B-Cell-Epitope-Based Fluorescent Quantum Dot Biosensors for SARS-CoV-2 Enable Highly Sensitive COVID-19 Antibody Detection
title_short B-Cell-Epitope-Based Fluorescent Quantum Dot Biosensors for SARS-CoV-2 Enable Highly Sensitive COVID-19 Antibody Detection
title_sort b-cell-epitope-based fluorescent quantum dot biosensors for sars-cov-2 enable highly sensitive covid-19 antibody detection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145955/
https://www.ncbi.nlm.nih.gov/pubmed/35632772
http://dx.doi.org/10.3390/v14051031
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