Quantitative analysis of the peanut oil content in blended edible oil using near infrared spectroscopy

Calibration models of quantitative analysis of the content of peanut oil in blended edible oil were built using partial-least-square(PLS) regression and other methods.Near infrared diffuse reflectance spectra of the calibration sample set were collected over 4 000 cm-1~10 000 cm-1 spectral region.Calibration model was established with PLS after the spectra were pretreated with first derivative and validated with leave-one-out cross validation method.The correlation coefficient was 0.99961 and the RMSEC was 0.830 % for the model.Among different spectra pretreatment methods,the first derivative was the best one.The comparison of the calibration models built with different methods showed that the PLS was the optimal one.