A rapid and nondestructive method was established for the analysis of the volatile organic compounds in edible vegetable oils by headspace/gas chromatography-tandem ion mobility spectrometry(GC-IMS).56 sesame oil,rapeseed oil and camellia oil samples were taken as the research objects.2 mL tested sample was put into the standard sample bottle which was sealed with a magnetic cap for direct GC-IMS analysis.The results showed that the characteristic peaks in GC-IMS 3D spectra corresponding to volatile organic substances can effectively characterize the sample information areas of different types of vegetable oils.With the sectional intensities of 40 characteristic peaks in corresponding three-dimensional spectra as variables,the principal components analysis(PCA) algorithm was used to reduce information dimensionality,establishing the training model for discriminating the type of vegetable oil by kNN algorithm,and the recognition rate was up to 100%,only 1 camellia oil sample was judged as sesame oil in the predicted set,and the prediction set recognition rate was 94.44%.GC-IMS technique is simple,rapid and nondestructive,and could be used for the rapid identification of agricultural products and other foods such as edible vegetable oils.