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SARS-CoV-2 RNA Detection by a Cellphone-Based Amplification-Free System with CRISPR/CAS-Dependent Enzymatic (CASCADE) Assay.
- Source :
-
Advanced materials technologies [Adv Mater Technol] 2021 Dec; Vol. 6 (12), pp. 2100602. Date of Electronic Publication: 2021 Jul 19. - Publication Year :
- 2021
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Abstract
- CRISPR (Clustered regularly interspaced short palindromic repeats)-based diagnostic technologies have emerged as a promising alternative to accelerate delivery of SARS-CoV-2 molecular detection at the point of need. However, efficient translation of CRISPR-diagnostic technologies to field application is still hampered by dependence on target amplification and by reliance on fluorescence-based results readout. Herein, an amplification-free CRISPR/Cas12a-based diagnostic technology for SARS-CoV-2 RNA detection is presented using a smartphone camera for results readout. This method, termed Cellphone-based amplification-free system with CRISPR/CAS-dependent enzymatic (CASCADE) assay, relies on mobile phone imaging of a catalase-generated gas bubble signal within a microfluidic channel and does not require any external hardware optical attachments. Upon specific detection of a SARS-CoV-2 reverse-transcribed DNA/RNA heteroduplex target (orf1ab) by the ribonucleoprotein complex, the transcleavage collateral activity of the Cas12a protein on a Catalase:ssDNA probe triggers the bubble signal on the system. High analytical sensitivity in signal detection without previous target amplification (down to 50 copies µL <superscript>-1</superscript> ) is observed in spiked samples, in ≈71 min from sample input to results readout. With the aid of a smartphone vision tool, high accuracy (AUC = 1.0; CI: 0.715 - 1.00) is achieved when the CASCADE system is tested with nasopharyngeal swab samples of PCR-positive COVID-19 patients.<br />Competing Interests: The authors declare no conflict of interest.<br /> (© 2021 Wiley‐VCH GmbH.)
Details
- Language :
- English
- ISSN :
- 2365-709X
- Volume :
- 6
- Issue :
- 12
- Database :
- MEDLINE
- Journal :
- Advanced materials technologies
- Publication Type :
- Academic Journal
- Accession number :
- 34514084
- Full Text :
- https://doi.org/10.1002/admt.202100602