Evolving CRISPR/Cas system for food safety monitoring across the food supply chain

• Published in: TrAC, Trends in analytical chemistry (Regular ed.) Vol. 181; p. 118050
• Main Authors: Shen, Jingqi, Zhang, Di, He, Yanyan, Shen, Yafang, Duan, Miaolin, Zhao, Yan, Liu, Zunying, Jia, Fei
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.12.2024
• Subjects: AI algorithms; analytical chemistry; artificial intelligence; Biosensing; CRISPR/Cas; DNA/RNA extraction-free; food safety; Food supply chain; genes; Nanotechnology; prediction; rapid methods; DNA/RNA extraction-free; AI algorithms; CRISPR/Cas; Nanotechnology; Biosensing; Food supply chain
• ISSN: 0165-9936
• DOI: 10.1016/j.trac.2024.118050

The rapid detection methods are regarded as one of the most important ways to ensure food safety across the food supply chain worldwide. While the limitations including low sensitivity, poor portability and unsatisfactory accuracy still remain. The emerging CRISPR/Cas system, a powerful tool in gene editing and biosensing, possesses high specificity and sensitivity, showing great potential for food safety detection. This review comprehensively summarizes the CRISPR/Cas-based biosensing and its applications in food safety monitoring, spanning from the foundational principles to recent advancements. Divided from the detection requirements perspective, the technical development of CRISPR-Sensor is going through the stages from satisfying basic detection needs to pursuing better sensing performance. With the rapid development of artificial intelligence, the CRISPR-Sensor is empowered to revolutionize biosensing, offering more possibilities for continuous monitoring and accurate prediction. Lastly, the current challenges and future prospects of the CRISPR-Sensor for food safety monitoring are illustrated. [Display omitted] •The CRISPR/Cas system emerges as a promising tool for food safety detection across the food supply chain.•This review comprehensively summarizes the recent advances in CRISPR-Sensor, from CS 1.0 to CS 4.0.•The current challenges and future perspectives of the CRISPR-Sensor are discussed in depth.