Chicken soup and mixed samples with artificial blending were tested by electronic tongue and the response signals were analyzed by principal component analysis (PCA), discriminant factor analysis (DFA) and partial least-squares analysis (PLS). Chicken soup and artificial blended soup were successfully identified by electronic tongue. Moreover, a high regression coefficient, R²=0.958 71, between instrumental response signal and mixed ratio of chicken soup and artificial blended soup was found for the established PLS model with a prediction error below 15%.This study demonstrates that electronic tongue is applicable for soup discrimination.