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Cas12a-assisted RTF-EXPAR for accurate, rapid and simple detection of SARS-CoV-2 RNA.
Hang, Xiao-Min; Wang, Hui-Yi; Liu, Peng-Fei; Zhao, Kai-Ren; Wang, Li.
  • Hang XM; School of Pharmacy, Jiangsu University, Zhenjiang, 212013, PR China.
  • Wang HY; School of Pharmacy, Jiangsu University, Zhenjiang, 212013, PR China.
  • Liu PF; College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha, 410081, PR China.
  • Zhao KR; School of Pharmacy, Jiangsu University, Zhenjiang, 212013, PR China.
  • Wang L; School of Pharmacy, Jiangsu University, Zhenjiang, 212013, PR China. Electronic address: wangjill@126.com.
Biosens Bioelectron ; 216: 114683, 2022 Nov 15.
Article in English | MEDLINE | ID: covidwho-2007469
ABSTRACT
Developing highly accurate and simple approaches to rapidly identify and isolate SARS-CoV-2 infected patients is important for the control of the COVID-19 pandemic. We, herein, reported the performance of a Cas12a-assisted RTF-EXPAR strategy for the identification of SARS-CoV-2 RNA. This assay combined the advantages of RTF-EXPAR with CRISPR-Cas12a can detect SARS-CoV-2 within 40 min, requiring only isothermal control. Particularly, the simultaneous use of EXPAR amplification and CRISPR improved the detection sensitivity, thereby realizing ultrasensitive SARS-CoV-2 RNA detection with a detection limit of 3.77 aM (∼2 copies/µL) in an end-point fluorescence read-out fashion, and at 4.81 aM (∼3 copies/µL) level via a smartphone-assisted analysis system (RGB analysis). Moreover, Cas12a increases the specificity by intrinsic sequence-specific template recognition. Overall, this method is fast, sensitive, and accurate, needing minimal equipment, which holds great promise to meet the requirements of point-of-care molecular detection of SARS-CoV-2.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / COVID-19 Type of study: Diagnostic study Limits: Humans Language: English Journal: Biosens Bioelectron Journal subject: Biotechnology Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / COVID-19 Type of study: Diagnostic study Limits: Humans Language: English Journal: Biosens Bioelectron Journal subject: Biotechnology Year: 2022 Document Type: Article