Prediction of apparent viscosity of milk with different

In order to establish the relationship between response signals of electronic tongue and apparent viscosity of milk, the method of comparing with the effect of MLR, SMLR and PLS model was presented based on one-way analysis of variance (One-Way ANOVA) and principal component analysis (PCA). The results of one-way analysis of variance (One-Way ANOVA) showed that volume fraction had significant effect on apparent viscosities and sensors signal of pure milk; it was also found that principal component analysis (PCA) could be used to distinguish five different volume fractions of pure milk; the results of MLR, SMLR and PLS model showed that the best forecasting effect was the PLS model. Its R was 0.9659, its mean relative error (MRE) was 4.5499%, its RMSEP was 8.4645×10-5, and its principal element was 3. It had been indicated that PLS was an efficient method to predict apparent viscosity of milk with electronic tongue. This method will provide reference for scientific research of apparent viscosity of milk.