中红外、近红外和拉曼光谱法测定商品农药制剂中氰戊菊酯和马拉硫磷的含量

利用近红外、中红外和拉曼光谱法定量分析了商品农药制剂中有效成分氰戊菊酯和马拉硫磷的含量。采用偏最小二乘法（Partial least squares,PLS）建立氰戊菊酯和马拉硫磷的定量模型并进行了优化,用独立检验集对模型适应性进行评价。近红外和中红外法测定氰戊菊酯、马拉硫磷定量模型的相关系数分别是0.9981,0.9994和0.9946,0.9998,外部验证集标准差分别是0.082,0.081和0.092,0.075,两种方法的定量效果接近;拉曼法氰戊菊酯和马拉硫磷定量模型的相关系数分别为0.9872和0.9993,外部验证集标准差分别为0.254和0.317,预测精度不及近红外和中红外法...

Full description

Saved in:
Bibliographic Details
Published in分析化学 Vol. 40; no. 9; pp. 1434 - 1438
Main Author 熊艳梅 唐果 段佳 李春子 闵顺耕
Format Journal Article
LanguageChinese
Published 中国农业大学理学院,北京,100193 2012
Subjects
中红外光谱
偏最小二乘法
农药制剂
拉曼光谱
氰戊菊酯
近红外光谱
马拉硫磷
氰戊菊酯
偏最小二乘法
中红外光谱
近红外光谱
马拉硫磷
拉曼光谱
农药制剂
Online AccessGet full text
ISSN0253-3820
DOI10.3724/SP.J.1096.2012.10849

Cover

More Information
Summary:利用近红外、中红外和拉曼光谱法定量分析了商品农药制剂中有效成分氰戊菊酯和马拉硫磷的含量。采用偏最小二乘法（Partial least squares,PLS）建立氰戊菊酯和马拉硫磷的定量模型并进行了优化,用独立检验集对模型适应性进行评价。近红外和中红外法测定氰戊菊酯、马拉硫磷定量模型的相关系数分别是0.9981,0.9994和0.9946,0.9998,外部验证集标准差分别是0.082,0.081和0.092,0.075,两种方法的定量效果接近;拉曼法氰戊菊酯和马拉硫磷定量模型的相关系数分别为0.9872和0.9993,外部验证集标准差分别为0.254和0.317,预测精度不及近红外和中红外法高。MIR-ATR,NIR和Raman 3种方法均能满足现场检测农药质量的需要。
Bibliography:XIONG Yan-Mei , Tang Guo , DUAN Jia , Li Chun-Zi, MIN Shun=Geng （College of Science, China Agricultural University, Beij ing 100193, China）
Near infrared spectroscopy; Attenuated total reflectance infrared spectroscopy; Ramanspectroscopy; Agrochemicals; Partial least square; Fenvalerate; Malathion
22-1125/O6
The active ingredients such as fenvalerate and malathion in pesticides were determined by the methods of near-infrared, attenuated total reflectance infrared and Raman spectroscopy. The quantitative models were established by partial least squares method and optimized. The independent validation sets were used to evaluate the accuracy of models. The coefficients R2 of determination and SEP of the near-infrared spectroscopy model for fenvalerate and malathion were 0. 9981 and 0. 9994, 0. 089, and 0. 081, respectively. The R2 and SEP of mid-infrared spectroscopy were 0. 9946 and 0. 9998, 0. 082 and 0. 081, respectively. Both accuracies of near-infrared spectroscopy and mid-infra- red spectroscopy were similar.
ISSN:0253-3820
DOI:10.3724/SP.J.1096.2012.10849