Abstract: To design a new analysis method to identify true and fake Chinese liquors.Centrifugal filtering method was used to deal with some well- known Chinese different series of liquor and their corresponding wine liquor samples,by analyzing liquor compound information using a LC- MS( Liquid Chromatography- Mass Spectrometry) and the true and fake Chinese liquors data dimension was a reduction processing through statistical analysis using metabolomics data analysis based on pattern recognition method.The impact of this new method was investigated in order to distinguish true and fake liquor samples group.In order to distinguish true and fake liquor samples,LCMS experimental data by the level of clustering analysis( Cluster Analysis) were formed between the three kinds of different varieties of Chinese liquors by way of a real wine clustering information of sample information.PCA( Principle Component Analysis) method was also used to distinguish the true and fake of liquor samples from the same product of different by the 95% confident region revealed by Hoteling T² test.PLS- DA Analysis( Partial Least Squares- Discriminate Analysis) method from the characteristic of compound MS information display showed a narrow area for true wine liquor than fake liquor samples.In conclusion,LC- MS with metabolomics technology was an effective method for identification of true and fake Chinese liquors.This method not only can distinguish true and fake liquors,also can reflect the different series in the degree of similar compounds and its characteristic information of wine.