Zhuhai UM Science & Technology Research Institute, Zhuhai, China.
Precision Medicine Institute, The First Affiliated Hospital of Sun Yat-Sen University, Sun Yat-Sen University, Guangzhou, China.
Food Chem. 2023 Nov 15;426:136578. doi: 10.1016/j.foodchem.2023.136578. Epub 2023 Jun 13.
Pathogenic bacteria can pose a great threat to food safety and human health. It is therefore imperative to develop a rapid, portable, and sensitive determination and discrimination method for pathogenic bacteria. Over the past few years, various nanomaterials (NMs) have been employed as desirable nanoprobes because they possess extraordinary properties that can be used for optical signal enabled detection and identification of bacteria. By means of modification, NMs can, depending on different mechanisms, sense targets directly or indirectly, which then provides an essential support for the detection and differentiation of pathogenic bacteria. In this review, recent application of NMs-based optical biosensors for food safety bacterial detection and discrimination is performed, mainly in but not limited to noble metal NMs, fluorescent NMs, and point-of-care testing (POCT). This review also focuses on future trends in bacterial detection and discrimination, and machine learning in performing intelligent rapid detection and multiple accurate identification of bacteria.
致病细菌会对食品安全和人类健康造成极大的威胁。因此，开发一种快速、便携且灵敏的致病细菌检测和鉴别方法迫在眉睫。近年来，各种纳米材料（NMs）已被用作理想的纳米探针，因为它们具有非凡的性质，可用于光学信号检测和细菌识别。通过修饰，NMs 可以根据不同的机制直接或间接地感应目标，从而为检测和区分致病细菌提供了重要的支持。在本文中，主要介绍了基于纳米材料的光学生物传感器在食品安全细菌检测和鉴别方面的最新应用，不仅限于贵金属纳米材料、荧光纳米材料和即时检测（POCT）。本文还重点介绍了细菌检测和鉴别以及机器学习在进行智能快速检测和对细菌进行多种精确识别方面的未来发展趋势。
