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

閱讀：422 發布時間：2018-01-16

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.（農業生產中殘留的農藥對野生動物和家畜構成了威脅,是世界上主要的食品安全問題之一。表面增強的拉曼光譜(分子)和金納米粒子被應用于快速分析兩種被廣泛使用的蘋果殺蟲劑——亞胺硫磷和噻苯咪唑。采用四種不同直徑的納米顆粒來選擇的材料來分析每一種農藥,一種簡單的樣品制備方法,可以在20分鐘內從蘋果中萃取出殺蟲劑。蘋果中亞胺硫磷的zui小檢測濃度為0.5 mg/g,噻苯咪唑的zui小檢測濃度為0.1 mg/g。偏zui小二乘回歸(PLSR)模型也被開發用來對蘋果萃取物中殺蟲劑的濃度進行定量分析。本研究提供了一種新的、快速且靈敏的方法,用于分析蘋果的殘留農藥殘留量,表面增強拉曼光譜與金納米顆粒相結合,這對其他微量污染物的分析具有很大的參考性。）

提供商	上海安譜實驗科技股份有限公司	下載次數	25次
資料大小	1.7MB	資料類型	PDF 文件免費下載該資料
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Surface-enhanced Raman spectroscopy coupled with gold nanoparticles for rapid detection of phosmet ａ

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