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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...

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Autores principales: Sun, Yang, Yang, Cheng, Jiang, Xiaolin, Zhang, Pengbo, Chen, Shuo, Su, Fengxia, Wang, Hui, Liu, Weiliang, He, Xiaofei, Chen, Lei, Man, Baoyuan, Li, Zhengping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2023
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.
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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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