Machine-Learning-Assisted CRISPR/Cas12a Biosensors for Monitoring Organophosphorus Pesticide Degradation

= 0.9985). In real water samples, the SEL model achieved a recovery rate of 93.1-103.1%, and the degradation kinetics of DDVP were successfully monitored over 24 h, revealing significant differences in DDVP degradation rates across various water matrices. This study is the first to report the integration of CRISPR/Cas12a biosensing technology with an SEL model-driven smartphone detection platform, providing a novel approach for sensitive, portable, and intelligent monitoring of OPs and offering new insights for water quality monitoring and early detection of environmental risks.