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Updated: Jan 17, 2026

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
Published on: May 10, 2024
CRISPR-integrated nanoconfined interparticle catalytic hairpin assembly for enhanced dual-mode SARS-CoV-2 detection
Xiaoxi Zheng1, Shuo Yao1, Caihong Yin1
1State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, School of Public Health, Jilin University, Changchun, 130021, China.
Abstract:
Accurate monitoring of pathogenic viruses in wastewater is critical for early outbreak and risk assessment. This study presented a novel biosensing platform that combined an interparticle magnetic covalent organic framework (MCOF)-assisted mismatched catalytic hairpin assembly (iMMCHA) with CRISPR/Cas12a-activated colorimetric-photothermal dual-mode detection of SARS-CoV-2 RNA. The system strategically immobilized CHA reactants (H1 and mismatched H2) on separate MCOF nanoparticles, creating a spatially confined and collision-enhanced interparticle MCHA that achieved 270-fold higher local reactant concentration and 20-min faster kinetics than solution-phase CHA. Upon target recognition, the iMMCHA system generated dsDNA activators that triggered Cas12a-mediated cleavage of ssDNA linkers on magnetic bead-glucose oxidase conjugates. This cleavage event reduced the TMB-oxidizing activity of the magnetically isolated integrated enzyme system, producing inversely correlated colorimetric and photothermal signals. This iMMCHA-CRISPR dual-mode assay allowed for the rapid and sensitive detection of SARS-CoV-2 pseudovirus in sanitary wastewater samples, with detection limits of 100 and 120 copies/μL (colorimetric mode) and 100 and 140 copies/μL (photothermal mode) for S and N genes, respectively. This work established a powerful platform for aqueous environmental virus monitoring that combined the specificity of CRISPR with the signal enhancement and kinetics acceleration of nanoconfined interparticle CHA and the reliability of dual-mode detection.
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