A new approach for qualitative analysis of milk adulterated with urea is proposed by multi-wayprincipal component analysis (MPCA) and multi-way partial least squares discriminant analysis(NPLS-DA) based on voltammetric electronic tongue. 9 pure milk samples and 11 adulterated milksamples with different contents of urea were prepared and the current response values of thevoltammetric electronic tongue were measured consequently. MPCA was used to distinguish urea- tainted milk and pure milk. Furthermore, a NPLS-DA model was developed using the first fiveprincipal components (PCs) according to the distribution of PCs computed by MPCA. It was shownthat the ratios of correct classification were 100% and 88.9% for calibration set and prediction set,respectively. The results indicated that voltametric electronic tongue combined with multivariatemethods was efficient for urea-tainted milk discrimination.
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