To comparative analysis of the glyceride composition of sea buckthorn oil， this study examined the potential of lipidomics based on ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry （UPLC-QTOF-MS）. There were 92 diglycerides and triglycerides had been selected by the analysis of genuine sea buckthorn oil and its adulterants oil （exemplified by sunflower seed oil， rapeseed oil and soybean oil）. Among them， 16 were diglycerides and 76 were triglycerides. The cluster differentiation and prediction of samples was carried out by chemometrics analysis， like principal component analysis（PCA）， orthogonal partial least squares discrimination analysis （OPLS-DA） and so on. The results showed that the model established by this method had good explanatory ability and predictive ability. It can be used to distinguish sea buckthorn oil， sunflower seed oil， rapeseed oil and soybean oil and can provide experience for the identification of high-value edible oil.