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Updated: Jan 23, 2026

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
Published on: May 10, 2024
Tri-mode fluorescence/colorimetric/strip aptasensor with CRISPR/Cas12a-driven cascade strategy for mycotoxin.
Kan Yang1, Changan Cheng1, Youjia Zhang1
1School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang, 212013, PR China.
A novel tri-mode aptasensor using CRISPR/Cas12a technology enables ultrasensitive detection of ochratoxin A (OTA). This rapid biosensor offers improved accessibility and efficiency for mycotoxin monitoring in various samples.
Area of Science:
- Biosensing and Nanotechnology
- Molecular Biology
- Analytical Chemistry
Background:
- Mycotoxin detection is crucial for food safety, but current methods face challenges in accessibility and efficiency.
- Multi-mode biosensors offer rapid detection, yet practical implementation remains difficult.
Purpose of the Study:
- To develop a tri-mode aptasensor for ultrasensitive quantification of ochratoxin A (OTA).
- To leverage a CRISPR/Cas12a-driven cascade strategy for enhanced detection performance.
Main Methods:
- Preparation of pre-designed probes: Apt@cDNA, fluorophore-quencher (FQ-reporter), and glucose oxidase (GOx)-reporter.
- Utilizing a CRISPR/Cas12a cascade triggered by OTA for signal amplification via CHA reaction and H2O2 generation.
- Integration of fluorescence, colorimetric, and strip detection modes.
Main Results:
- Achieved ultrasensitive detection of OTA with limits of detection (LOD) as low as 9.10 pg/mL.
- Demonstrated satisfactory specificity, accuracy, and practicability in spiked and real samples.
- Highlighted quantitative capability, homogeneous reaction, and simplified operation.
Conclusions:
- The developed tri-mode aptasensor provides a sensitive and efficient platform for OTA detection.
- CRISPR/Cas12a-driven signal amplification offers a versatile approach for harmful substance monitoring.
- This platform shows promising prospects for practical applications in food safety and related fields.
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