| In order to establish a method for rapid determination of fatty acid composition in oil-tea camellia seed oil, 86 oil-tea camellia seed oil samples were scanned by Fourier transform infrared spectrometer, and the infrared spectrum data were denoised by Savitzky-Golay(SG) smoothing, multiple scattering correction (MSC), standard normal transformation (SNV), first derivative (FD) and second derivative (SD), respectively. Then the quantitative regression model of main fatty acids (oleic acid, palmitic acid and linoleic acid) in oil-tea camellia seed oil was established by full-wavelength partial least square (PLS), interval partial least square (iPLS) and synergy interval partial least square (siPLS), respectively with fatty acid composition determined by gas chromatography was as the standrad value. The results showed that SG, SNV and SD were the best pretreatment methods for infrared spectral data of oleic acid, palmitic acid and linoleic acid, respectively, and siPLS could remove more noise through the selection of effective bands, which was more accurate than the models established by PLS and iPLS. The correlation coefficients(R) of the correction set and prediction set of oleic acid, palmitic acid and linoleic acid were 0.947 9 and 0.853 9, 0.900 8 and 0.910 1, 0.979 3 and 0.950 5, respectively. Infrared spectroscopy combined with synergy interval partial least square method is more feasible for the rapid determination of the fatty acid composition of oil-tea camellia seed oil. |
