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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
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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. |
format | Online Article Text |
id | pubmed-9197783 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
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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