Surface-enhanced Raman spectroscopy coupled with gold nanoparticles for rapid detection of phosmet ａ

发布时间：2018/1/16 点击次数：590

Residual pesticides in agricultural produce pose a threat to wildlife and domestic animals, and are one of the major food safety concerns around the world. Surface-enhanced Raman spectroscopy (SERS) coupled with gold nanoparticles was applied for rapid analysis of phosmet and thiabendazole, two widely used pesticides in apples. Four different diameters of nanoparticles were fabricated to select the optimal SERS substrate for analyzing each pesticide. A simple sample preparation method allowed for extracting the pesticides from apples within 20 min. The minimum detectable concentration was 0.5 mg/g for phosmet and 0.1 mg/g for thiabendazole in apples. Partial least squares regression (PLSR) models were also developed to correlate SERS spectra of apple extracts with the concentrations of each pesticide in apple for quantitative analysis purpose. The coefficient of determination (R2 cv) of actual values versus values predicted with PLSR models was 0.936 for phosmet and 0.959 for thiabendazole in apples. This study provides a new, rapid and sensitive approach for analysis of trace amounts of residual pesticides in apples based on SERS coupled with gold nanoparticles, which has great potential for analysis of other trace contaminants.（农业生产中残留的农药对野生动物和家畜构成了威胁,是世界上主要的食品安全问题之一。表面增强的拉曼光谱(分子)和金纳米粒子被应用于快速分析两种被广泛使用的苹果杀虫剂——亚胺硫磷和噻苯咪唑。采用四种不同直径的纳米颗粒来选择的材料来分析每一种农药,一种简单的样品制备方法,可以在20分钟内从苹果中萃取出杀虫剂。苹果中亚胺硫磷的zui小检测浓度为0.5 mg/g,噻苯咪唑的zui小检测浓度为0.1 mg/g。偏zui小二乘回归(PLSR)模型也被开发用来对苹果萃取物中杀虫剂的浓度进行定量分析。本研究提供了一种新的、快速且灵敏的方法,用于分析苹果的残留农药残留量,表面增强拉曼光谱与金纳米颗粒相结合,这对其他微量污染物的分析具有很大的参考性。）

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