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A smartphone-based visual biosensor for CRISPR-Cas powered SARS-CoV-2 diagnostics
The pandemic of coronavirus disease 2019 (COVID-19) resulted from novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a worldwide concern. It is imperative to develop rapid, sensitive, and specific biosensing methods. Herein, we developed a CRISPR-Cas12a powered visual bios...
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/PMC8457901/ https://www.ncbi.nlm.nih.gov/pubmed/34624801 http://dx.doi.org/10.1016/j.bios.2021.113646 |
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author | Ma, Long Yin, Lijuan Li, Xiaoyan Chen, Si Peng, Lei Liu, Guozhen Ye, Shengying Zhang, Wenlu Man, Shuli |
author_facet | Ma, Long Yin, Lijuan Li, Xiaoyan Chen, Si Peng, Lei Liu, Guozhen Ye, Shengying Zhang, Wenlu Man, Shuli |
author_sort | Ma, Long |
collection | PubMed |
description | The pandemic of coronavirus disease 2019 (COVID-19) resulted from novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a worldwide concern. It is imperative to develop rapid, sensitive, and specific biosensing methods. Herein, we developed a CRISPR-Cas12a powered visual biosensor with a smartphone readout for ultrasensitive and selective detection of SARS-CoV-2. Simply, the SARS-CoV-2 derived nucleic acids triggered CRISPR-Cas12a based indiscriminate degradation of a single-stranded DNA that was supposed to link two gold nanoparticles, inducing the dis-aggregation of gold nanoparticles and thus generating observable color changes. This change can be readily distinguished by naked eyes as well as a smartphone with a Color Picker App. The proposed biosensor was successfully applied to detect SARS-CoV-2 gene in synthetic vectors, transcribed RNA and SARS-CoV-2 pseudoviruses. It rendered “single copy resolution” as evidenced by the 1 copy/μL limit of detection of pseudoviruses with no cross-reactivity. When the developed biosensor was challenged with SARS-CoV-2 clinical bio-samples, it provided 100% agreement (both positive and negative) with qPCR results. The sample-to-result time was roughly 90 min. Our work provides a novel and robust technology for ultrasensitive detection of SARS-CoV-2 that could be used clinically. |
format | Online Article Text |
id | pubmed-8457901 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84579012021-09-23 A smartphone-based visual biosensor for CRISPR-Cas powered SARS-CoV-2 diagnostics Ma, Long Yin, Lijuan Li, Xiaoyan Chen, Si Peng, Lei Liu, Guozhen Ye, Shengying Zhang, Wenlu Man, Shuli Biosens Bioelectron Article The pandemic of coronavirus disease 2019 (COVID-19) resulted from novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a worldwide concern. It is imperative to develop rapid, sensitive, and specific biosensing methods. Herein, we developed a CRISPR-Cas12a powered visual biosensor with a smartphone readout for ultrasensitive and selective detection of SARS-CoV-2. Simply, the SARS-CoV-2 derived nucleic acids triggered CRISPR-Cas12a based indiscriminate degradation of a single-stranded DNA that was supposed to link two gold nanoparticles, inducing the dis-aggregation of gold nanoparticles and thus generating observable color changes. This change can be readily distinguished by naked eyes as well as a smartphone with a Color Picker App. The proposed biosensor was successfully applied to detect SARS-CoV-2 gene in synthetic vectors, transcribed RNA and SARS-CoV-2 pseudoviruses. It rendered “single copy resolution” as evidenced by the 1 copy/μL limit of detection of pseudoviruses with no cross-reactivity. When the developed biosensor was challenged with SARS-CoV-2 clinical bio-samples, it provided 100% agreement (both positive and negative) with qPCR results. The sample-to-result time was roughly 90 min. Our work provides a novel and robust technology for ultrasensitive detection of SARS-CoV-2 that could be used clinically. Elsevier B.V. 2022-01-01 2021-09-23 /pmc/articles/PMC8457901/ /pubmed/34624801 http://dx.doi.org/10.1016/j.bios.2021.113646 Text en © 2021 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 Ma, Long Yin, Lijuan Li, Xiaoyan Chen, Si Peng, Lei Liu, Guozhen Ye, Shengying Zhang, Wenlu Man, Shuli A smartphone-based visual biosensor for CRISPR-Cas powered SARS-CoV-2 diagnostics |
title | A smartphone-based visual biosensor for CRISPR-Cas powered SARS-CoV-2 diagnostics |
title_full | A smartphone-based visual biosensor for CRISPR-Cas powered SARS-CoV-2 diagnostics |
title_fullStr | A smartphone-based visual biosensor for CRISPR-Cas powered SARS-CoV-2 diagnostics |
title_full_unstemmed | A smartphone-based visual biosensor for CRISPR-Cas powered SARS-CoV-2 diagnostics |
title_short | A smartphone-based visual biosensor for CRISPR-Cas powered SARS-CoV-2 diagnostics |
title_sort | smartphone-based visual biosensor for crispr-cas powered sars-cov-2 diagnostics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8457901/ https://www.ncbi.nlm.nih.gov/pubmed/34624801 http://dx.doi.org/10.1016/j.bios.2021.113646 |
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