Key Laboratory of the Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China.
Crit Rev Food Sci Nutr. 2024;64(29):10695-10713. doi: 10.1080/10408398.2023.2227264. Epub 2023 Jun 27.
The public health problem caused by mycotoxins contamination has received a great deal of attention worldwide. Mycotoxins produced by filamentous fungi widely distributed in foodstuffs can cause adverse impacts on humans and livestock, posing serious health threats. Particularly worth mentioning is that mycotoxins can accumulate in organisms and be enriched through the food chain. Improving early trace detection and control from the source is a more desirable approach than the contaminated food disposal process to ensure food safety. Conventional sensors are susceptible to interference from various components in intricate food matrices when detecting trace mycotoxins. The application of ratiometric sensors avoids signal fluctuations, and reduce background influences, which casts new light on developing sensors with superior performance. This work is the first to provide an overview of the recent progress of ratiometric sensors in the detection of mycotoxins in intricate food matrices, and highlight the output types of ratiometric signal with respect to accurate quantitative analysis. The prospects of this field are also included in this paper and are intended to have key ramifications on the development of sensing detection conducive to food safety.
真菌毒素污染引发的公共卫生问题受到了全世界的广泛关注。广泛存在于食品中的丝状真菌所产生的真菌毒素会对人类和牲畜造成不良影响，构成严重的健康威胁。值得特别提及的是，真菌毒素可以在生物体内积累，并通过食物链进行富集。与处理受污染的食物相比，从源头改进早期痕量检测和控制是一种更理想的方法，以确保食品安全。在检测痕量真菌毒素时，常规传感器容易受到复杂食品基质中各种成分的干扰。比率传感器的应用避免了信号波动，并减少了背景影响，为开发性能更优的传感器开辟了新途径。这项工作首次全面概述了比率传感器在复杂食品基质中检测真菌毒素的最新进展，并重点介绍了针对准确定量分析的比率信号输出类型。本文还包含了该领域的前景展望，有望对食品安全相关的传感检测发展产生重要影响。
