Research progress of dual-mode sensing technology strategy based on SERS and its application in the detection of harmful substances in foods

双模 纳米技术 对偶(语法数字) 计算机科学 模式(计算机接口) 材料科学 工程类 人机交互 电子工程 艺术 文学类
作者
Linyuan Liu,Yu Wang,Zhaohui Xue,Bo Peng,Xiaohong Kou,Zhixian Gao
出处
期刊:Trends in Food Science and Technology [Elsevier BV]
卷期号:148: 104487-104487 被引量:49
标识
DOI:10.1016/j.tifs.2024.104487
摘要

Surface Enhanced Raman Scattering (SERS) technology is a fast and highly sensitive optical detection technique for trace detection in food testing and has been developing rapidly. Meanwhile, the application of dual-mode detection technology in food safety is also maturing, where the combination of two sensing modes not only compensates for the shortcomings of a single sensing mode, but also significantly reduces the possibility of false positives and has a lower detection limit. Therefore, it is important to combine SERS with other detection techniques for rapid, accurate and portable detection in food safety. This paper describes the progress in the construction of SERS-based dual-mode biosensing technology in recent years and discusses the prospect of its application in the field of food safety. Firstly, it introduces the classification and working principle of SERS-based dual-mode sensing; then it systematically summarizes the latest progress of the application of SERS-based dual-mode sensing detection technology, such as the detection of pathogenic bacteria, biotoxins, drug residues, etc. Also, some of the material choices for constructing SERS dual-mode sensors are summarized. In addition, future opportunities and challenges are presented. Emerging SERS-based dual-mode detection technologies show great potential for monitoring harmful substances in food. A part of SERS dual-mode sensor is very promising for rapid detection of food contaminants in the field. At the same time, some emerging materials can be used for SERS substrates. In addition, some technologies can provide a better platform for partial SERS dual-mode sensors to achieve food detection.
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