食品科学 ›› 2022, Vol. 43 ›› Issue (17): 344-352.doi: 10.7506/spkx1002-6630-20210908-092

• 专题论述 • 上一篇    下一篇

基于表面增强拉曼光谱标记技术的生物传感器用于农药残留检测的研究进展

颜朦朦,李慧冬,张文君,陈子雷,郭长英,朱超,佘永新   

  1. (1.山东省农业科学院农业质量标准与检测技术研究所,山东 济南 250100; 2.中国农业科学院农业质量标准与检测技术研究所,北京 100081)
  • 出版日期:2022-09-15 发布日期:2022-09-28
  • 基金资助:
    国家自然科学基金青年科学基金项目(32102088);山东省农业科学院创新工程项目(CXGC2021B14;CXGC2021A19); 北京市科协2020—2022年度青年人才托举工程项目

Recent Advances in Biosensors Based on Surface Enhanced Raman Scattering Labels for the Detection of Pesticide Residues

YAN Mengmeng, LI Huidong, ZHANG Wenjun, CHEN Zilei, GUO Changying, ZHU Chao, SHE Yongxin   

  1. (1. Institute of Quality Standard and Testing Technology for Agro-products, Shandong Academy of Agricultural Sciences, Jinan 250100, China; 2. Institute of Quality Standards & Testing Technology for Agro-products, Chinese Academy of Agricultural Sciences, Beijing 100081, China)
  • Online:2022-09-15 Published:2022-09-28

摘要: 近年来,表面增强拉曼光谱(surface enhancement Raman spectroscopy,SERS)标记技术因具有高灵敏度、可多路复用、强抗光漂白性和较好的分子指纹保真度等特性而备受瞩目,并已成功应用于传感分析及生物成像领域。本综述主要总结了基于SERS标记技术的生物传感器的原理及其在农药残留快速检测领域中的最新研究进展,重点介绍了SERS标签的设计与制备及基于不同识别元件传感系统的研究现状。同时,对其面临的挑战和解决方案进行了探讨,以期促进SERS标记技术在农药残留检测及食品安全检测方面的应用。

关键词: 表面增强拉曼光谱标签;标记技术;农药残留检测;新型拉曼报告分子;多残留检测

Abstract: Recently, surface enhanced Raman scattering (SERS) labels have attracted researchers’ attention owing to their high sensitivity, excellent multiplexing ability, insensitivity to photobleaching and good fidelity of molecular fingerprint, and have been successfully applied to sensing analysis and biological imaging. In this review, we summarize the principle of SERS label-based biosensors, and the state of the art in their application for rapid detection of pesticide residues. The focus of this review is on the design and fabrication of SERS labels and the current status of sensing systems based on different recognition elements. Meanwhile, the challenges in this field are discussed and possible solutions to them are proposed. This review is expect to help expand the application of SERS labels in the detection of pesticide residues and food safety.

Key words: surface enhanced Raman scattering tags; labeling technology; pesticide residue detection; novel Raman reporter molecules; multi-residue detection

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