Aroma is one of the main factors of rice quality and is important for the evaluation of nutritional value and quality.In order to explore an objective method to evaluate the quality of rice,this paper provided a new possible measure to distinguish the rice of different storage length of time and different original places by gas chromatography（GC) based on head space solid phase micro extraction（HS-SPME) technique and to analyze the volatile components of rice samples with different storage time and original places using principal component analysis（PCA) and partial least squares discriminant analysis（PLS-DA).Results showed that rice samples stored for different time periods were classified correctly in the PCA and PLS plot,cross using the leave one out cross validation（LOO),the prediction accuracy of the samples stored for different time periods was 96%and the relative standard error（RSE) was 8.2%in the model of PLS.Samples from four different original places clustered into four different groups in the PCA plot.The PLS-DA method was applied in the determination of the rice of different original places,which was verified to be very effective and reliable,also the accuracy of this model reached to 100%.It could be safely concluded that this study has provided a reliable and effective method for discriminating the storage time period and original places of rice based on HS-SPME-GC-FID technique combined with PCA and PLS-DA.