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表面增强拉曼光谱法在果蔬农药残留检测中的应用
引用本文:马 迪,曹 宁,宋 烨,杜文瑜,谭梦男,李 备,汤祝华,郑晓冬.表面增强拉曼光谱法在果蔬农药残留检测中的应用[J].食品安全质量检测技术,2023,14(3):10-17.
作者姓名:马 迪  曹 宁  宋 烨  杜文瑜  谭梦男  李 备  汤祝华  郑晓冬
作者单位:中华全国供销合作总社济南果品研究所,中华全国供销合作总社济南果品研究所,中华全国供销合作总社济南果品研究所,中华全国供销合作总社济南果品研究所,中华全国供销合作总社济南果品研究所,海南省食品检验检测中心,海南省食品检验检测中心,中华全国供销合作总社济南果品研究所
基金项目:国家市场监管重点实验室(热带果蔬质量与安全)基础应用研究课题(KF-2022002)
摘    要:农药的使用对果蔬产业的提升起到了重要作用,但不合理的施用必然会对环境及果蔬产品造成污染,因此必须加强检测和管控工作。相较于质谱法,表面增强拉曼光谱检测法可以通过将痕量的农残分子吸附于基底表面达到增强拉曼散射信号的效果,因其具有快速、无损、易操作等优点,被视为一款新型的农药残留快速检测技术。本文针对果蔬农残检测领域,综述了表面增强拉曼光谱在基底制备、样品前处理、农药残留定性判别和定量分析方面的国内外研究进展。总结了贵金属纳米材料的形状、尺寸、组成对拉曼信号稳定性和灵敏度的影响,重点介绍了柔性基底材料、光谱数据模型构建的最新研究进展,同时展望了表面增强拉曼光谱农残检测技术的发展方向和应用前景。

关 键 词:拉曼光谱  表面增强基底  农药残留  定性判别  定量分析
收稿时间:2022/9/8 0:00:00
修稿时间:2022/12/18 0:00:00

Application of surface enhanced Raman spectroscopy in detection of pesticide residues in fruits and vegetables
MA Di,CAO Ning,SONG Ye,DU Wen-Yu,TAN Meng-Nan,LI Bei,TANG Zhu-Hu,ZHENG Xiao-Dong.Application of surface enhanced Raman spectroscopy in detection of pesticide residues in fruits and vegetables[J].Food Safety and Quality Detection Technology,2023,14(3):10-17.
Authors:MA Di  CAO Ning  SONG Ye  DU Wen-Yu  TAN Meng-Nan  LI Bei  TANG Zhu-Hu  ZHENG Xiao-Dong
Affiliation:Fruit and Vegetable Storage and Processing Technology Innovation Center of Shandong Province, Jinan Fruit Research Institute, All China Federation of Supply and Marketing Co-operatives;Key Laboratory of Tropical Fruits and Vegetables Quality and Safety for State Market Regulation, Hainan Institute for Food Control
Abstract:The application of pesticides plays an important role in improving the fruit and vegetable industry. However, unreasonable use will inevitably lead to excessive pesticide residues in agricultural products, which poses potential threats to the health of consumers. Therefore, detection and control work must be strengthened. Surface enhanced Raman spectroscopy has the advantages of fast, non-destructive and easy to operate, which is regarded as a new rapid detection technology. The progress was introduced from four items, including surface-enhanced substrate, pretreatment of samples, pesticide residues in SERS (surface - enhanced Raman technology) qualitative identification and quantitative analysis. The development direction of SERS in pesticide residue detection was prospected.
Keywords:surface-enhanced substrate  pesticide residue  qualitative identification  quantitative analysis
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