The establishment and evaluation of near infrared universal model to determinate the effective ingredient content in pesticide rapidly

Yan Mei Xiong, Xiang Zhong Song, Chang Zhou Chen, Hong Ping Lin, Guo Tang, Yue Huang, Jia Duan, Shun Geng Min

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

A near infrared universal quantitative analysis model was established to determinate the effective ingredient content in pesticide EC (hikernalisation) by the PLS (partial least squares) algorithm, the model predictive ability was evaluated by the external inspection method. The model was established among samples containing the same active ingredient from five different companies, and the model determination coefficient R 2 and RMSECV (root mean square error of cross validation) were 0.9997 and 0.0223, respectively, the relative error between predicted value and chemical value of the testing set samples was between -2.71% and 3.36%, which indicated that the method to determinate the effective ingredient content in pesticide EC by the established universal model can meet the need of pesticide market monitoring.

Original languageEnglish
Pages (from-to)1047-1050
Number of pages4
JournalChinese Chemical Letters
Volume23
Issue number9
DOIs
Publication statusPublished - 2012 Sep 1

All Science Journal Classification (ASJC) codes

  • Chemistry(all)

Fingerprint Dive into the research topics of 'The establishment and evaluation of near infrared universal model to determinate the effective ingredient content in pesticide rapidly'. Together they form a unique fingerprint.

  • Cite this