Abstract:The study was aimed to detect the application of the electronic tongue on tea beverage.51 kinds of tea beverage which was sold in Chinese market were detected by electronic tongue which was based on potentiometric chemical sensors developed by Alpha M.O.S.（Toulouse，France）.All data were treated by multivariate data processing based on discriminant function analysis（DFA）and regression analysis（RA）.The results showed that，much difference in the chemical components contents was found in tea beverages，but the flavors were relatively consistent.The different varieties（green tea，black tea，and oolong tea beverages），pH（pH＜4.0，pH 4-6，pH＞6.0），sugar content（no-sugar and sugary beverages），and caffeine contents（caffeine ＜30 mg/L，30 mg/L-70 mg/L，＞70 mg/L）could be well discriminated by the electronic tongue with DFA.Regression equation of polyphenols contents in tea beverages could be established by the electronic tongue with RA.The tea beverages samples from next year were used for modelling verification，and the result showed high accuracy which indicated that the discriminant model had good effect.