CRISPR-Cas systems mediated biosensing and applications in food safety detection

CRISPR-Cas systems mediated biosensing and applications in food safety detection
复制标题

CRISPR-Cas系统介导的生物传感及其在食品安全检测中的应用

DOI:
10.1080/10408398.2022.2128300
复制
发表时间:
--
影响因子:
10.2
通讯作者:
Guoliang Li
Guoliang Li
中科院分区:
农林科学1区
文献类型:
--
作者:
Jianghua Liu;Di Wu;Jiahui Chen;Shijie Jia;Jian Chen;Yongning Wu;Guoliang Li

文献摘要

相似文献

食品安全与食品工业的经济发展和公共卫生密切相关,已成为全球关注的问题,越来越受到世界各国的重视。有效的检测技术对保障食品安全具有重要意义。虽然已经开发了几种经典的检测方法,但它们在可移植性、选择性和灵敏度方面存在一定的局限性。新兴的CRISPR-Cas系统独特地整合了目标识别特异性、信号转导和有效的信号放大能力,具有优越的特异性和敏感性,在解决上述挑战和开发下一代食品安全检测技术方面显示出巨大的潜力。本文就CRISPR-Cas介导的生物传感技术及其在食品安全监测中的应用进展进行综述。重点介绍了常用的CRISPR-Cas系统的特性和原理。值得注意的是,本文还系统总结了为提高核酸选择性和灵敏度而频繁耦合的核酸扩增策略,特别是等温扩增方法,以及各种信号输出模式。同时,全面介绍了基于CRISPR-Cas系统的生物传感器在食源性病毒、食源性细菌、食品欺诈、转基因生物、毒素、重金属离子、抗生素残留、农药残留等食品安全检测中的应用。并对该领域目前面临的挑战和未来的发展前景进行了初步探讨。
Food safety, closely related to economic development of food industry and public health, has become a global concern and gained increasing attention worldwide. Effective detection technology is of great importance to guarantee food safety. Although several classical detection methods have been developed, they have some limitations in portability, selectivity, and sensitivity. The emerging CRISPR-Cas systems, uniquely integrating target recognition specificity, signal transduction, and efficient signal amplification abilities, possess superior specificity and sensitivity, showing huge potential to address aforementioned challenges and develop next-generation techniques for food safety detection. In this review, we focus on recent progress of CRISPR-Cas mediated biosensing and their applications in food safety monitoring. The properties and principles of commonly used CRISPR-Cas systems are highlighted. Notably, the frequently coupled nucleic acid amplification strategies to enhance their selectivity and sensitivity, especially isothermal amplification methods, as well as various signal output modes are also systematically summarized. Meanwhile, the application of CRISPR-Cas systems-based biosensors in food safety detection including foodborne virus, foodborne bacteria, food fraud, genetically modified organisms (GMOs), toxins, heavy metal ions, antibiotic residues, and pesticide residues is comprehensively described. Furthermore, the current challenges and future prospects in this field are tentatively discussed.