On-site food safety detection: Opportunities, advancements, and prospects

作者：Yanke Shan, Yunan Lu, Weijie Yi, Bin Wang, Jiahao Li, Jiajing Guo, Wenzhi Li, Yulong Yin, Shouyu Wang, Fei Liu · 发表于：Biosensors and Bioelectronics X · 年份：2023 · DOI：10.1016/j.biosx.2023.100350 · 被引用次数：19 · 研究领域：Identification and Quantification in Food、Advanced Chemical Sensor Technologies、Biosensors and Analytical Detection

As unsafe food production poses global health threats, especially in developing countries, food safety detection always significantly impacts all fields of the food industry, such as production, processing, transportation, storage, and consumption. Many classical food safety detecting methods have been widely used to provide accurate, sensitive, and reliable analytical characteristics, while they rely on clean laboratories, bulky setups, trained personnel, and long-time detection. Because of those conditions, they are not suitable for on-site food safety detecting applications. To solve this problem, various food safety detecting approaches relying on field-portable devices and field-operable techniques have been designed and successfully used, indicating that they are potentially ideal solutions for on-site applications. This review summarizes the progress on on-site food safety detecting approaches and applications for various risk factors, including bacteria, parasites, viruses, toxins, pesticide and veterinary drug residues, illegal food additives, restricted food ingredients, and heavy metals. It outlines recent advances in field-portable devices and field-operable techniques that provide conditions for on-site food safety detection. Recommended on-site food safety detecting approaches for different food safety risk factors are comprehensively suggested considering detecting feasibility, accuracy, and speed. These approaches reveal an attractive and promising route for f...