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Accurate identification of SARS-CoV-2 variant delta using graphene/CRISPR-dCas9 electrochemical biosensor

Delta (B.1.617.2), a highly infectious variant of SARS-CoV-2, has been sweeping the world, and threatening the safety of human life seriously. It is urgent to develop a highly selective and sensitive assay to accurately identify the SARS-CoV-2 variant Delta. In this work, we constructed a graphene/C...

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Detalles Bibliográficos
Autores principales: Yang, Bin, Zeng, Xiaowei, Zhang, Jin, Kong, Jilie, Fang, Xueen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197783/
https://www.ncbi.nlm.nih.gov/pubmed/35724556
http://dx.doi.org/10.1016/j.talanta.2022.123687
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author Yang, Bin
Zeng, Xiaowei
Zhang, Jin
Kong, Jilie
Fang, Xueen
author_facet Yang, Bin
Zeng, Xiaowei
Zhang, Jin
Kong, Jilie
Fang, Xueen
author_sort Yang, Bin
collection PubMed
description Delta (B.1.617.2), a highly infectious variant of SARS-CoV-2, has been sweeping the world, and threatening the safety of human life seriously. It is urgent to develop a highly selective and sensitive assay to accurately identify the SARS-CoV-2 variant Delta. In this work, we constructed a graphene/CRISPR-dCas9 electrochemical biosensor to accurately identify SARS-CoV-2 variant Delta, where the signal was further amplified by embedded electrochemical probe [Ru(phen)(2)dppz]BF(4). This detection assay could be finished within 47 min totally, with the detection limit of 1.2 pM and good reproducibility with a C·V.% of 2.48% (n = 5). And the biosensor could selectively identify Delta among SARS-CoV-2 and other variants, including Alpha, Beta, Gamma. This assay was further validated by 26 real clinical samples, showing 100% clinical sensitivity and 100% clinical specificity, which provides a new direction for identifying other SARS-CoV-2 variants in the future.
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spelling pubmed-91977832022-06-15 Accurate identification of SARS-CoV-2 variant delta using graphene/CRISPR-dCas9 electrochemical biosensor Yang, Bin Zeng, Xiaowei Zhang, Jin Kong, Jilie Fang, Xueen Talanta Article Delta (B.1.617.2), a highly infectious variant of SARS-CoV-2, has been sweeping the world, and threatening the safety of human life seriously. It is urgent to develop a highly selective and sensitive assay to accurately identify the SARS-CoV-2 variant Delta. In this work, we constructed a graphene/CRISPR-dCas9 electrochemical biosensor to accurately identify SARS-CoV-2 variant Delta, where the signal was further amplified by embedded electrochemical probe [Ru(phen)(2)dppz]BF(4). This detection assay could be finished within 47 min totally, with the detection limit of 1.2 pM and good reproducibility with a C·V.% of 2.48% (n = 5). And the biosensor could selectively identify Delta among SARS-CoV-2 and other variants, including Alpha, Beta, Gamma. This assay was further validated by 26 real clinical samples, showing 100% clinical sensitivity and 100% clinical specificity, which provides a new direction for identifying other SARS-CoV-2 variants in the future. Elsevier B.V. 2022-11-01 2022-06-15 /pmc/articles/PMC9197783/ /pubmed/35724556 http://dx.doi.org/10.1016/j.talanta.2022.123687 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Yang, Bin
Zeng, Xiaowei
Zhang, Jin
Kong, Jilie
Fang, Xueen
Accurate identification of SARS-CoV-2 variant delta using graphene/CRISPR-dCas9 electrochemical biosensor
title Accurate identification of SARS-CoV-2 variant delta using graphene/CRISPR-dCas9 electrochemical biosensor
title_full Accurate identification of SARS-CoV-2 variant delta using graphene/CRISPR-dCas9 electrochemical biosensor
title_fullStr Accurate identification of SARS-CoV-2 variant delta using graphene/CRISPR-dCas9 electrochemical biosensor
title_full_unstemmed Accurate identification of SARS-CoV-2 variant delta using graphene/CRISPR-dCas9 electrochemical biosensor
title_short Accurate identification of SARS-CoV-2 variant delta using graphene/CRISPR-dCas9 electrochemical biosensor
title_sort accurate identification of sars-cov-2 variant delta using graphene/crispr-dcas9 electrochemical biosensor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197783/
https://www.ncbi.nlm.nih.gov/pubmed/35724556
http://dx.doi.org/10.1016/j.talanta.2022.123687
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