Identification of Camellia Oils by Near Infrared Spectroscopy Combined with Chemometrics

Near infrared spectroscopy (NIRS) in the transreflection mode combined with chemometrics was used to identify Camellia oil. The samples set contained 163 spectra of qualified (n=97) and unqualified (n=66) have been collected and scanned, the spectral data were pretreated and selected for effective variables. In the wavenumber range 5750 cm(-1) to 6000 cm(-1), the optimal combination of pretreatments (smoothed, first derivative, and autoscaling) was adopted to process spectra. Unsupervised classification-principal component analysis (PCA) was firstly adopted to classify, and then supervised classification-discriminant analysis (DA) was used to build calibration model to predict. Satisfactory results were obtained by PCA and DA, the correct recognition rates of two methods can reach 98. 8%. The results showed that NIRS can be used as a simple, rapid, nondestructive and reliable method to identify Camellia oil.