Abstract:Electronic nose was used to detecte the change of meat flavor with different physical states，different flavor characteristics，and different production date. The obtained data were analyzed with principal component analysis （PCA） ，discriminant factor analysis （DFA），and statistical quality control（SQC） by multivariate statistical method. The models of quality control were established，and the quality consistency of the samples was evaluated. The results showed that：meat flavors with different production date could be distinguished by electronic nose；the quality of unknown samples could be successfully control by qualified products which were trained by electronic nose along with established quality control model.