清脆的
食品安全
领域(数学)
流量(数学)
国家(计算机科学)
计算机科学
数据科学
食品科学
生物
数学
机械
物理
遗传学
算法
基因
纯数学
作者
Yang Sun,Kunli Zhong,Lanmengya Nie,Xu Yan,Yiran Wang,Jingjing Yuan,Shuai Jiang,Li Xu,Zhidong Zhang,Xiangfei Li,Ling Jiang,Xiangfei Li,Ling Jiang
摘要
Abstract Food safety is essential for public health, with key hazards including microbial and chemical contamination and pesticide residues. Therefore, food testing is integral to ensuring food safety. Combining CRISPR/Cas with lateral flow assays (LFAs) leverages CRISPR's robust trans‐acting activity, specific target recognition, and high enzymatic efficiency while retaining LFA's advantages of direct visualization, low cost, and simple operation. This combination enhances food safety detection capabilities. In this paper, we review the CRISPR‐based lateral flow combined detection technology, summarize its basic principles and features, and focus on its integrated applications. The technology is fast, accurate, and cost‐effective in detection, and is thus widely used in various testing fields, especially in food pathogen and viral infection detection. Finally, we highlight the technology's potential to improve various aspects, such as detection strength, and discuss the barriers and pre‐commercialization issues of CRISPR/Cas detection platforms. We also provide solutions to increase the likelihood of its commercialization. Currently, CRISPR lateral flow assays are anticipated for broad detection applications. Researchers are investigating Cas protein properties to enhance assay stability and accuracy, promising enhanced food and bioassay safety in the future.
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