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Rigidity-Responsive Fluorescence Polarization Detection of Aflatoxin B1 via Programmable RCA-Coupled CRISPR/Cas12a
Jia Zhao1, Zhuqi Sui1, Yu Zhou2
1Provincial Key Laboratory of Multimodal Perceiving and Intelligent Systems, Jiaxing Key Laboratory of Molecular Recognition and Sensing, College of Biological and Chemical Engineering, Jiaxing University, Jiaxing 314001, China.
Abstract:
Aflatoxin B1 (AFB1) is one of the most toxic and carcinogenic mycotoxins, and its trace-level determination in complex food matrices remains a major analytical challenge. Conventional chromatographic methods, while highly accurate, rely on expensive instrumentation and labor-intensive sample pretreatment, whereas most CRISPR/Cas-based biosensors depend on fluorescence intensity turn-on readouts that are vulnerable to matrix autofluorescence, photobleaching, and signal instability, limiting their reliability in real samples. Herein, we propose a rigidity-responsive fluorescence polarization (FP) biosensing strategy that integrates aptamer-based molecular recognition, rolling circle amplification (RCA), and CRISPR/Cas12a trans-cleavage for robust and matrix-tolerant AFB1 detection. In this system, target binding induces the release of a complementary DNA strand from an immobilized aptamer duplex, initiating padlock probe circularization and RCA to generate abundant Cas12a-activating amplicons. A rationally engineered conformation-restricted depolarization reporter (CRD-Reporter), in which the fluorophore is confined within a rigid duplex framework, provides an intrinsically high FP signal. Upon Cas12a activation, collateral cleavage disrupts the rigid architecture, releasing freely rotating fragments and producing a pronounced FP decrease. Unlike intensity-based CRISPR assays, the FP readout effectively suppresses background interference and signal fluctuations. The proposed assay exhibits a wide linear range from 0.003 to 300 ng/mL with a low detection limit of 0.00113 ng/mL, high specificity, and excellent accuracy in grains, peanuts, and tea samples. This work establishes a robust FP-based CRISPR sensing paradigm for reliable mycotoxin monitoring in complex food systems.
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