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Detection of SARS-CoV-2 with Solid-State CRISPR-Cas12a-Assisted Nanopores.
Nouri, Reza; Jiang, Yuqian; Tang, Zifan; Lian, Xiaojun Lance; Guan, Weihua.
  • Nouri R; Department of Electrical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802, United States.
  • Jiang Y; Department of Biomedical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802, United States.
  • Tang Z; Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, Pennsylvania 16802, United States.
  • Lian XL; Department of Electrical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802, United States.
  • Guan W; Department of Biomedical Engineering, Pennsylvania State University, University Park, Pennsylvania 16802, United States.
Nano Lett ; 21(19): 8393-8400, 2021 10 13.
Article in English | MEDLINE | ID: covidwho-1428741
ABSTRACT
The outbreak of the SARS-CoV-2 caused the disease COVID-19 to spread globally. Specific and sensitive detection of SARS-CoV-2 facilitates early intervention and prevents the disease from spreading. Here, we present a solid-state CRISPR-Cas12a-assisted nanopore (SCAN) sensing strategy for the specific detection of SARS-CoV-2. We introduced a nanopore-sized counting method to measure the cleavage ratio of reporters, which is used as a criterion for positive/negative classification. A kinetic cleavage model was developed and validated to predict the reporter size distributions. The model revealed the trade-offs between sensitivity, turnaround time, and false-positive rate of the SARS-CoV-2 SCAN. With preamplification and a 30 min CRISPR Cas12a assay, we achieved excellent specificity against other common human coronaviruses and a limit of detection of 13.5 copies/µL (22.5 aM) of viral RNA at a confidence level of 95%. These results suggested that the SCAN could provide a rapid, sensitive, and specific analysis of SARS-CoV-2.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Nanopores / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Nano Lett Year: 2021 Document Type: Article Affiliation country: Acs.nanolett.1c02974

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Nanopores / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Nano Lett Year: 2021 Document Type: Article Affiliation country: Acs.nanolett.1c02974