The rapid detection of Chinese liquor quality by electronic nose and electronic tongue was studied. The adulterated liquors with different brands, different flavors and different proportions were detected. The overall odor response spectra of electronic nose and the response signals of electronic tongue, excitated by pulse in 1Hz, 10Hz, 100Hz and 1000Hz four frequency bands, composed of gold, silver, tungsten, titanium four working electrodes, were analyzed by principal component analysis, linear discriminant analysis and partial least square method. The results showed that electronic tongue was superior to electronic nose in distinguish different brands and different flavor of liquors, and the recognition effect of linear discriminant analysis was exceeded than that of principal component analysis. For the quantitative prediction model according partial least square method, when taking 5 principal components, the model of electronic tongue was the optimal one. The model accuracy was tested by independent sample; the correlation coefficient of prediction and reference values of PLS model was 0.881. This method will provide basic information for quality control of liquors both in production and sale.