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

研究成果: Article同行評審

3 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁(從 - 到)1047-1050
頁數4
期刊Chinese Chemical Letters
23
發行號9
DOIs
出版狀態Published - 2012 九月

All Science Journal Classification (ASJC) codes

  • 化學 (全部)

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