Discriminant Analysis of Five Kinds of Animal Oils by Gas Chromatography-Mass Spectrometry Combined with Chemometrics

KeyWord:animal oils  gas chromatography-mass spectrometry(GC-MS)  principal component analysis  cluster analysis  discriminant analysis

Abstract:

      Gas chromatography-mass spectrometry was used to determine the fatty acid compositions in five different animal oils,and chemometric methods(such as principal component analysis(PCA),cluster analysis(CA) and discriminant analysis(DA)) were applied to the obtained data.The fatty acids in five animal oils samples were investigated,and the results showed that the main compositions of animal oils were C16¡Ã0,C18¡Ã0,C18¡Ã1c-9,C18¡Ã2c-9,12 and C14¡Ã0.Total contents of the five major fatty acids were 92.1%,93.5%,93.5%,90.6%and 95.6%corresponding to the chanterelle,butter,duck fat,suet and lard,respectively.The ratios of unsaturated and saturated fatty acids(U/S) were all less than 1 for five animal oils.Three PCs were sequentially used for CA and DA.Three discriminant functions were established and the correlation coefficients were larger than 0.995.The initial classification accuracy and cross-validation accuracy of chanterelle,butter,duck fat,suet and lard all reached up to 100%.