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Nanostructure-Based Surface-Enhanced Raman Spectroscopy Techniques for Pesticide and Veterinary Drug Residues Screening.
Bulletin of Environmental Contamination and Toxicology ( IF 2.7 ) Pub Date : 2020-09-16 , DOI: 10.1007/s00128-020-02989-5
Mingtao Li 1 , Xiang Zhang 1, 2
Affiliation  

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.



中文翻译:

用于农药和兽药残留筛选的基于纳米结构的表面增强拉曼光谱技术。

食品和环境中的农药兽药残留对人类健康构成威胁,因此迫切需要一种快速、超灵敏、准确且经济高效的分析技术,以克服基于质谱的常规技术的缺点。最近,表面增强拉曼光谱 (SERS) 技术成为快速、灵敏和选择性检测环境污染物的潜在有前景的分析工具,主要是由于其可能简化样品预处理、巨大的可检测信号放大和通过手指快速识别目标分析物。 - 打印 SERS 光谱。所以理论上SERS检测技术比其他竞争者具有先天优势,尤其是在复杂的环境矩阵中。纳米结构 SERS 衬底和便携式拉曼仪器的进步将推动这种新型检测技术在未来的快速现场检测中发挥重要作用。本文回顾了基于纳米结构的 SERS 基板、传感器和相关便携式环境分析集成系统的进展,重点介绍了在农药和兽药残留等合成化学物质检测中的潜在应用,并讨论了 SERS 检测技术在环境分析中的挑战。未来的实际环境监测。

更新日期:2020-09-16
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