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High-intensity vector signals for detecting SARS-CoV-2 RNA using CRISPR/Cas13a couple with stabilized graphene field-effect transistor
False detection of SARS-CoV-2 is detrimental to epidemic prevention and control. The scalar nature of the detected signal and the imperfect target recognition property of developed methods are the root causes of generating false signals. Here, we reported a collaborative system of CRISPR-Cas13a coup...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710152/ https://www.ncbi.nlm.nih.gov/pubmed/36463654 http://dx.doi.org/10.1016/j.bios.2022.114979 |
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author | Sun, Yang Yang, Cheng Jiang, Xiaolin Zhang, Pengbo Chen, Shuo Su, Fengxia Wang, Hui Liu, Weiliang He, Xiaofei Chen, Lei Man, Baoyuan Li, Zhengping |
author_facet | Sun, Yang Yang, Cheng Jiang, Xiaolin Zhang, Pengbo Chen, Shuo Su, Fengxia Wang, Hui Liu, Weiliang He, Xiaofei Chen, Lei Man, Baoyuan Li, Zhengping |
author_sort | Sun, Yang |
collection | PubMed |
description | False detection of SARS-CoV-2 is detrimental to epidemic prevention and control. The scalar nature of the detected signal and the imperfect target recognition property of developed methods are the root causes of generating false signals. Here, we reported a collaborative system of CRISPR-Cas13a coupling with the stabilized graphene field-effect transistor, providing high-intensity vector signals for detecting SARS-CoV-2. In this collaborative system, SARS-CoV-2 RNA generates a “big subtraction” signal with a right-shifted feature, whereas any untargets cause the left-shifted characteristic signal. Thus, the false detection of SARS-CoV-2 is eliminated. High sensitivity with 0.15 copies/μL was obtained. In addition, the wide concerned instability of the graphene field-effect transistor for biosensing in solution environment was solved by the hydrophobic treatment to its substrate, which should be a milestone in advancing it's engineering application. This collaborative system characterized by the high-intensity vector signal and amazing stability significantly advances the accurate SARS-CoV-2 detection from the aspect of signal nature. |
format | Online Article Text |
id | pubmed-9710152 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97101522022-11-30 High-intensity vector signals for detecting SARS-CoV-2 RNA using CRISPR/Cas13a couple with stabilized graphene field-effect transistor Sun, Yang Yang, Cheng Jiang, Xiaolin Zhang, Pengbo Chen, Shuo Su, Fengxia Wang, Hui Liu, Weiliang He, Xiaofei Chen, Lei Man, Baoyuan Li, Zhengping Biosens Bioelectron Article False detection of SARS-CoV-2 is detrimental to epidemic prevention and control. The scalar nature of the detected signal and the imperfect target recognition property of developed methods are the root causes of generating false signals. Here, we reported a collaborative system of CRISPR-Cas13a coupling with the stabilized graphene field-effect transistor, providing high-intensity vector signals for detecting SARS-CoV-2. In this collaborative system, SARS-CoV-2 RNA generates a “big subtraction” signal with a right-shifted feature, whereas any untargets cause the left-shifted characteristic signal. Thus, the false detection of SARS-CoV-2 is eliminated. High sensitivity with 0.15 copies/μL was obtained. In addition, the wide concerned instability of the graphene field-effect transistor for biosensing in solution environment was solved by the hydrophobic treatment to its substrate, which should be a milestone in advancing it's engineering application. This collaborative system characterized by the high-intensity vector signal and amazing stability significantly advances the accurate SARS-CoV-2 detection from the aspect of signal nature. Elsevier B.V. 2023-02-15 2022-11-30 /pmc/articles/PMC9710152/ /pubmed/36463654 http://dx.doi.org/10.1016/j.bios.2022.114979 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 Sun, Yang Yang, Cheng Jiang, Xiaolin Zhang, Pengbo Chen, Shuo Su, Fengxia Wang, Hui Liu, Weiliang He, Xiaofei Chen, Lei Man, Baoyuan Li, Zhengping High-intensity vector signals for detecting SARS-CoV-2 RNA using CRISPR/Cas13a couple with stabilized graphene field-effect transistor |
title | High-intensity vector signals for detecting SARS-CoV-2 RNA using CRISPR/Cas13a couple with stabilized graphene field-effect transistor |
title_full | High-intensity vector signals for detecting SARS-CoV-2 RNA using CRISPR/Cas13a couple with stabilized graphene field-effect transistor |
title_fullStr | High-intensity vector signals for detecting SARS-CoV-2 RNA using CRISPR/Cas13a couple with stabilized graphene field-effect transistor |
title_full_unstemmed | High-intensity vector signals for detecting SARS-CoV-2 RNA using CRISPR/Cas13a couple with stabilized graphene field-effect transistor |
title_short | High-intensity vector signals for detecting SARS-CoV-2 RNA using CRISPR/Cas13a couple with stabilized graphene field-effect transistor |
title_sort | high-intensity vector signals for detecting sars-cov-2 rna using crispr/cas13a couple with stabilized graphene field-effect transistor |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710152/ https://www.ncbi.nlm.nih.gov/pubmed/36463654 http://dx.doi.org/10.1016/j.bios.2022.114979 |
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