食品安全
蓝图
生化工程
风险分析(工程)
纳米技术
生物技术
分离(微生物学)
生物
计算机科学
业务
生物信息学
工程类
材料科学
食品科学
机械工程
作者
Lijuan Yin,Yaru Li,Wenlu Zhang,Xiao Han,Qiankun Wu,Yanyan Xie,Jingjing Fan,Long Ma
标识
DOI:10.1021/acs.jafc.2c06537
摘要
Foodborne viruses have been recognized as important threats to food safety and human health. Rapid and accurate detection is one of the most crucial measures for food safety control. With the development of biology, chemistry, nanoscience, and related interdisciplines, detection strategies have been devised and advanced continuously. This review mainly focuses on the progress of detection methods for foodborne viruses. The current detection methods for foodborne viruses are summarized, including traditional electron microscopy and cultural isolation, immunoassay, molecular technology, biosensors, and newly emerging CRISPR/Cas-based detection technology. Furthermore, a comparison of the detection methods was objectively discussed. This review provides a comprehensive account of foodborne virus detection methods from fundamentals to state-of-the-art and illustrates the advantages and disadvantages of the current methods and proposes the future trends and directions for foodborne virus detection. It is hoped that this review can update current knowledge and present blueprints in order to accelerate futuristic development.
科研通智能强力驱动
Strongly Powered by AbleSci AI