基于SERS法的苹果中农药残留的定性及定量分析  

Qualitative and Quantitative Analyzing on Pesticide Residue in Apple Using SERS

作　　者：赵琦[1] 刘翠玲[1] 孙晓荣[1] 苗雨晴[1] 

机构地区：[1]北京工商大学计算机与信息工程学院,北京100048

出　　处：《光散射学报》2016年第1期6-11,共6页The Journal of Light Scattering

基　　金：北京市自然科学基金资助项目(4142012);北京市教委科研计划重点项目(KZ201310011012);北京市教委科技创新平台(PXM_2012_014213_000023)

摘　　要：使用共焦显微拉曼光谱仪,结合表面增强拉曼散射(Surface-Enhanced Raman Scattering,SERS)技术,采集含有农药马拉硫磷和二嗪农的苹果汁样本的基于银纳米溶胶的表面增强拉曼光谱,采用距离匹配和判别分析的方法对其进行定性分析。然后结合偏最小二乘(Partial Least Squares,PLS)方法对两种农药的表面增强拉曼光谱分别进行数学建模分析。结果表明表面增强拉曼散射(SERS)技术对无损快速定性分析马拉硫磷和二嗪农具有较高的准确性,而定量分析二者的含量也具有较高的可行性。Confocal micro Raman spectrometer combined surface enhanced Raman scattering （SERS） was introduced in collecting surface-enhanced Raman spectroscopy of apple juice samples contained pesticide malathion and diazinon. Distance match and discriminant analysis methods were used to build two kinds of mathematical models for qualitative analysis respec- tively. Then partial least squares was used to building the quantitative model, the results show that the qualitative analysis based on surface-enhanced Raman scattering （SERS） to de- tect trace levels of malathion and diazinon has high accuracy,and the quantitative analysis can be accurate and feasible.

关 键 词：表面增强拉曼散射 银纳米溶胶 定性分析 定量分析 

分 类 号：S-123[农业科学]