文档介绍：研究论文 Article * E-mail: ******@cau. Received May 11, 2015; published July 20, 2015. Supporting information for this article is available free of charge via the at http://sioc-. Project supported by the National Science and Technology Support Program (No. 2014BAD04B05). 项目受国家科技支撑项目(No. 2014BAD04B05) 资助. Acta Chim. Sinica 2015 , 73 ,1167—1172 ? 2015 Shanghai Institute anic Chemistry, Chinese Academy of Sciences http://sioc- 1167 化学学报 ACTA CHIMICA SINICA 基于表面增强拉曼光谱的苹果毒死蜱残留无损检测方法翟晨 彭彦昆 李永玉* 徐田锋( 中国农业大学工学院北京 100083) 摘要对表面增强拉曼光谱(Surface Enhanced Raman Spectroscopy, SERS) 技术在苹果毒死蜱残留量无损快速准确检测中的应用进行了研究. 以银溶胶作为表面增强剂, 采用实验室搭建的拉曼光谱系统, 无损地采集苹果样品拉曼光谱. 分别采用二阶导数法(Secondary Derivative Transformation, SD) 和极小极大值自适应缩放法(Min-max Signal Adaptive Zooming, MSAZ) 扣除所得拉曼光谱的荧光背景以消除样品和环境的干扰, 从而提高检测的准确度. 对获取光谱后的苹果样品采用标准理化方法检测其毒死蜱含量, 在最优条件下, 建立拉曼光谱与 ~ mg/kg 范围内毒死蜱含量的线性关系, 结果表明毒死蜱的两个主要特征峰强度和其浓度呈良好的线性关系, 预测集的相关系数为 , 预测均方根误差为 mg/kg. 本研究所开发的方法为果蔬安全品质的无损快速检测提供了一种新思路. 关键词表面增强拉曼光谱; 银溶胶; 毒死蜱; 无损检测; 苹果 Nondestructive Detection of Chl orpyrifos in Apples Based on Surface Enhanced Raman Scattering Zhai, Chen Peng, Yankun Li, Yongyu* Xu, Tianfeng (College of Engineering , China Agricultural University , Beijing 100083 ) Abstract A new non-destructive, rapid and accurate surface-e nhanced Raman spectroscopy (SERS) assay method using silver collo