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Updated: Nov 2, 2025

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
Published on: May 10, 2024
A CRISPR-based and post-amplification coupled SARS-CoV-2 detection with a portable evanescent wave biosensor
Yihan Yang1, Jinchuan Liu1, Xiaohong Zhou1
1State Key Joint Laboratory of ESPC, Center for Sensor Technology of Environment and Health, School of Environment, Tsinghua University, Beijing, 100084, China.
A new CRISPR-based biosensor rapidly detects SARS-CoV-2, the virus causing COVID-19. This accurate diagnostic tool uses Cas13a and HCR for sensitive, point-of-care detection within an hour.
Area of Science:
- Biotechnology
- Molecular Diagnostics
- Biosensing
Background:
- Reliable diagnosis of SARS-CoV-2 is critical for public health during the ongoing COVID-19 pandemic.
- Existing diagnostic methods may face limitations in speed, ease of implementation, or sensitivity.
Purpose of the Study:
- To develop a rapid, accurate, and easy-to-implement CRISPR-based biosensing platform for SARS-CoV-2 detection.
- To achieve high sensitivity and specificity for point-of-care diagnosis of COVID-19.
Main Methods:
- Utilized CRISPR-Cas13a collateral activity combined with enzyme-free hybridization chain reaction (HCR) amplification.
- Designed a cleavage hairpin reporter to release an initiator sequence upon target recognition.
- Detected HCR amplicons via evanescent wave fluorescence on a desthiobiotin-modified optical fiber.
- Programmed three Cas13a crRNAs targeting S, N, and Orf1ab genes of SARS-CoV-2.
Main Results:
- Achieved rapid detection of SARS-CoV-2 in under one hour.
- Demonstrated attomolar sensitivity for target RNA detection.
- Validated the method using SARS-CoV-2 RNA in negative oropharyngeal swabs.
- Showcased broad detection capabilities for related coronaviruses (MERS-CoV, SARS-CoV).
Conclusions:
- The developed CRISPR-Cas13a/HCR biosensing platform offers a promising solution for rapid and sensitive COVID-19 diagnosis.
- The system's ease of implementation and high discrimination capability support its potential for point-of-care applications.
- This technology can aid in timely public health interventions and disease management.
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