Influence of Temperature on Near-Infrared Spectroscopic Quantitative Analysis Models of Compound Emulsifiable Concentrate
Influence of temperature on near-infrared spectroscopy quantitative analysis model of the compound emulsifiable concentrate of propargite and beta cypermethrin was studied.The near-infrared spectra of the compound emulsifiable concentrate were collected by FT-NIR spectrometer at temperatures of 20,25,30 and 35℃,respectively.The algorithm of partial least square regression was employed to develop the calibration models of the two active ingredients under the different temperature and the all-temperature respectively,while the validation method was full cross validation.The root mean square error of prediction(RMSEP) of the external validation sets were regarded as the criterion of prediction ability of the calibration models.The result indicated that the variation of temperatures will influence the prediction result of propargite and beta cypermethrin partly.The all-temperature calibration models of the two ingredients show the better suitability respectively.Therefore,it will meet the needs of the analysis demand of the samples under different temperatures for the emulsifiable concentrate of propargite and beta cypermethrin to develop the all-temperature calibration model which has the better suitability for temperature,which will decrease the prediction error furthest.