食品工业科技2017，Vol.38Issue(17)：245-249,5.DOI:10.13386/j.issn1002-0306.2017.17.047
菠菜表面农残的SERS无损检测方法研究
Research on nondestructive detection of pesticide residue in spinach by SERS
摘要
Abstract
A method for rapid and nondestructive detection of pesticide residues on spinach surface by using surface enhanced raman scattering(SERS) was built in this paper.SERS of spinach samples with and without deltamethrin were pretreated with some methods such as first derivation,Norris derivation and Savitsky-Golay convolution derivation.Discriminant analysis and distance match method were used to build qualitative model for determination of spinach samples with and without deltamethrin,and the highest accuracy rate of prediction was proved to be 100％.Then several quantitative models of those samples contained deltamethrin pesticide were built with partial least squares(PLS).The results showed that the best model was built with the differential spectrum.The correlation coefficient of calibration (Rc) and the correlation coefficient of validation (Rp) of the best model were 0.9908,0.9552 respectively.The root mean square error RMSEC and the root mean square error RMSECV were 0.0802,0.23 respectively.All results indicated that this method can be used for a rapid and nondestructive detection of deltamethrin on spinach,as well as other agricultural products.关键词
SERS/无损检测/菠菜/溴氰菊酯Key words
SERS/nondestructive detection/spinach/deltamethrin分类
轻工纺织引用本文复制引用
刘翠玲,邢瑞芯,孙晓荣,赵琦..菠菜表面农残的SERS无损检测方法研究[J].食品工业科技,2017,38(17):245-249,5.基金项目
北京市自然科学基金项目(4142012). （4142012）
