Ma Lixin, Zhou Ruiyun, Yin Limei, Sun Li, Han En, Bai Junwen, Cai Jianrong
School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.
Foods. 2025 Aug 26;14(17):2982. doi: 10.3390/foods14172982.
Surface-enhanced Raman scattering (SERS) technology has garnered significant attention for the detection of trace food contaminants, due to its exceptional sensitivity, non-destructive nature, and molecular fingerprinting capabilities. Currently, SERS applications in the simultaneous detection of multiple contaminants have advanced rapidly. SERS-based simultaneous detection strategies are generally categorized into label-free and labeled detection methods. Labeled detection can be further divided into SERS encoding detection and spatial isolation detection, with Raman reporter molecules playing a key role in SERS encoding. This article reviews the strategies, principles, common Raman reporter molecules, and practical applications of SERS-based simultaneous detection. Additionally, this article explores the challenges and future directions of SERS technology in contaminant detection, with an emphasis on the development of stable, intelligent substrates; improvements in analytical algorithms; and the creation of portable, on-site detection platforms. This study seeks to offer valuable insights into the development of SERS-based methods for simultaneously detecting multi-contaminants.
表面增强拉曼散射(SERS)技术因其卓越的灵敏度、非破坏性以及分子指纹识别能力,在痕量食品污染物检测方面备受关注。目前,SERS在多种污染物同时检测中的应用发展迅速。基于SERS的同时检测策略通常分为无标记检测和标记检测方法。标记检测可进一步分为SERS编码检测和空间隔离检测,拉曼报告分子在SERS编码中起关键作用。本文综述了基于SERS的同时检测的策略、原理、常见拉曼报告分子及实际应用。此外,本文探讨了SERS技术在污染物检测中的挑战和未来方向,重点在于开发稳定、智能的基底;改进分析算法;以及创建便携式现场检测平台。本研究旨在为基于SERS的多污染物同时检测方法的发展提供有价值的见解。