Institute of Translational Medicine, Nanchang University, Nanchang 330031, China; College of Food Science and Engineering, Hainan University, Haikou 570228, China.
National Engineering Research Center of Rice and Byproducts Deep Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China.
Food Chem. 2023 Jan 1;398:133848. doi: 10.1016/j.foodchem.2022.133848. Epub 2022 Aug 3.
Aflatoxin M (AFM) is an important risk factor threatening the safety of milk and dairy products due to its carcinogenic and teratogenic effects on humans. To prevent AFM from causing damage to human health, developing reliable methods to monitor its levels in milk and dairy products is of great importance. Biosensors built with recognition and detection systems have attracted extensive attention for their simplicity, portability, sensitivity, and selectivity. The commonly developed biosensors for detecting AFM are antibody-based sensors (immunosensors) and aptamer-based sensors (aptasensors). This review focused on the advances of immunosensors, aptasensors, and other emerging receptors-based sensors for the detection of AFM in milk and dairy products in the past five years. These biosensors were reviewed with representative examples according to their signal transduction systems, mainly including colorimetry, fluorescence, electrochemistry, and others. The unique advantages and drawbacks of immunosensor and aptasensor, and the future opportunities and challenges were also discussed.
黄曲霉毒素 M（AFM）是一种重要的风险因素，由于其对人类具有致癌和致畸作用，威胁着奶及奶制品的安全。为了防止 AFM 对人类健康造成损害，开发可靠的方法来监测其在奶及奶制品中的含量非常重要。基于识别和检测系统构建的生物传感器因其简单、便携、灵敏和选择性而受到广泛关注。目前开发用于检测 AFM 的生物传感器主要有基于抗体的传感器（免疫传感器）和基于适配体的传感器（适体传感器）。本综述重点介绍了过去五年中用于检测奶及奶制品中 AFM 的免疫传感器、适体传感器和其他新兴受体传感器的进展。根据它们的信号转导系统，主要包括比色法、荧光法、电化学法等，用代表性实例对这些生物传感器进行了综述。还讨论了免疫传感器和适体传感器的独特优缺点以及未来的机遇和挑战。
