| 50 Oil-tea camellia seed oil samples collected from enterprise were analyzed by infrared spectroscopy,and the characteristic bands were screened to establish a quantitative model for the contents of sterols, vitamin E and carotenoids in oil-tea camellia seed oil using partial least squares method (PLS), and then the model was evaluated by series parameters. The results showed that the correlation coefficients of the calibration set (RC) of sterol, vitamin E and carotenoid were 0.978 9, 0.980 1 and 0.949 9 respectively in the characteristic bands with wavenumber 400-1 850 cm-1, and the root mean square errors of cross validation (RMSECV) were 42.38, 25.64 mg/kg and 0.84 mg/kg, respectively. The models were validated,and the correlation coefficients of the prediction set (RP) of the three components were 0.993 4,0.997 4 and 0.959 0 respectively, the root mean square errors of the prediction set (RMSEP) were 13.31, 6.24 mg/kg and 0.18 mg/kg, respectively, and the relative analysis errors (RPD) were 7.742, 12.696 and 2.889, respectively. So the model had better prediction effect and could be used as a fast and accurate method for the determination of sterols, vitamin E and carotenoid in oil-tea camellia seed oil. |
