Key Laboratory of Materials Physics and Anhui Key Laboratory of Nanomaterials and Nanotechnology, Institute of Solid State Physics, Chinese Academy of Sciences, Hefei, 230031, China.
University of Science and Technology of China, Hefei, 230026, China.
Bull Environ Contam Toxicol. 2021 Aug;107(2):194-205. doi: 10.1007/s00128-020-02989-5. Epub 2020 Sep 16.
Pesticide and veterinary drug residues in food and environment pose a threat to human health, and a rapid, super-sensitive, accurate and cost-effective analysis technique is therefore highly required to overcome the disadvantages of conventional techniques based on mass spectrometry. Recently, the surface-enhanced Raman spectroscopy (SERS) technique emerges as a potential promising analytical tool for rapid, sensitive and selective detections of environmental pollutants, mostly owing to its possible simplified sample pretreatment, gigantic detectable signal amplification and quick target analyte identification via finger-printing SERS spectra. So theoretically the SERS detection technology has inherent advantages over other competitors especially in complex environmental matrices. The progress in nanostructure SERS substrates and portable Raman appliances will promote this novel detection technology to play an important role in future rapid on-site assay. This paper reviews the advances in nanostructure-based SERS substrates, sensors and relevant portable integrated systems for environmental analysis, highlights the potential applications in the detections of synthetic chemicals such as pesticide and veterinary drug residues, and also discusses the challenges of SERS detection technique for actual environmental monitoring in the future.
食品和环境中的农药和兽药残留对人类健康构成威胁，因此需要一种快速、超灵敏、准确且具有成本效益的分析技术，以克服基于质谱的传统技术的缺点。最近，表面增强拉曼光谱（SERS）技术作为一种有前途的分析工具，用于快速、灵敏和选择性地检测环境污染物，这主要归因于其可能简化的样品预处理、巨大的可检测信号放大以及通过指纹 SERS 光谱快速识别目标分析物。因此，从理论上讲，SERS 检测技术相对于其他竞争对手具有内在优势，尤其是在复杂的环境基质中。纳米结构 SERS 基底和便携式拉曼仪器的进步将促进这项新技术在未来的快速现场分析中发挥重要作用。本文综述了用于环境分析的基于纳米结构的 SERS 基底、传感器和相关便携式集成系统的进展，重点介绍了在检测合成化学品（如农药和兽药残留）方面的潜在应用，并讨论了 SERS 检测技术在未来实际环境监测中的挑战。
