A near infrared universal quantitative analysis model was established to determinate the effective ingredient content in pesticide EC （hikemalisation） by the PLS （partial least squares） algorithm, the model predic...A near infrared universal quantitative analysis model was established to determinate the effective ingredient content in pesticide EC （hikemalisation） 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 R2 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.展开更多
基金supported by the National Natural Science Foundation of China(No.20575076)Chinese Universities Scientific Fund(No.2012QJ028)
文摘A near infrared universal quantitative analysis model was established to determinate the effective ingredient content in pesticide EC （hikemalisation） 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 R2 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.
