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拉曼光谱技术在农产品药物残留检测中的应用
引用本文:杨德红,张雷蕾,卢诗扬,朱 诚.拉曼光谱技术在农产品药物残留检测中的应用[J].食品安全质量检测技术,2020,11(23):8836-8843.
作者姓名:杨德红  张雷蕾  卢诗扬  朱 诚
作者单位:中国计量大学生命科学学院,中国计量大学生命科学学院,中国计量大学生命科学学院,中国计量大学生命科学学院
基金项目:浙江省自然科学基金青年基金(LQ18F050003);国家重点研究与发展计划(2017YFF0211302);浙江省新苗人才计划(2020R409050)
摘    要:近年来,农产品药物残留超标引发了一系列食品安全问题,为了保障国家食品安全、保护消费者健康,需要对农产品中的药物残留进行定性定量检测。表面增强拉曼散射技术 (Surface-enhanced Raman scattering , SERS) 是一种极具吸引力的工具,可用于高效检测农药残留。本文介绍了表面增强拉曼光谱检测技术的概况,简介了拉曼增强基底,分析了表面增强拉曼光谱技术在药物标准溶液、农产品(肉类、水产品、果蔬和其他部分农产品等)药物残留检测领域中的研究现状,并针对当前农产品药物残留检测的发展趋势进行前景展望。

关 键 词:残留  表面增强拉曼光谱  基底  农药  抗生素
收稿时间:2020/7/30 0:00:00
修稿时间:2020/11/13 0:00:00

Application of Raman spectroscopy technology in detection of pesticide residues in agricultural products
YANG De-Hong,ZHANG Lei-Lei,LU Shi-Yang,ZHU Cheng.Application of Raman spectroscopy technology in detection of pesticide residues in agricultural products[J].Food Safety and Quality Detection Technology,2020,11(23):8836-8843.
Authors:YANG De-Hong  ZHANG Lei-Lei  LU Shi-Yang  ZHU Cheng
Affiliation:College of life sciences,China Jiliang University,College of life sciences,China Jiliang University,College of life sciences,China Jiliang University,College of life sciences,China Jiliang University
Abstract:In recent years, the excess of drug residues in agricultural products has caused a series of food safety problems, in order to ensure national food safety and protect consumer health, it is necessary to carry out qualitative and quantitative detection of drug residues in agricultural products. Surface-enhanced Raman scattering(SERS) is an attractive tool for highly sensitive detection of pesticides residue. This paper introduces the general situation of surface-enhanced Raman spectroscopy technology, describes the surface-enhanced Raman substrate, analyzes the current research status of surface-enhanced Raman spectroscopy technology in the field of drug residue detection in drug standard solution, agricultural products (such as meat, aquatic products, fruits and vegetables, etc.) and makes a prospect for the current development trend of drug residue detection in agricultural products.
Keywords:residue  Surface-enhanced Raman Spectroscopy  substrates  pesticide  antibiotic
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