Abstract
This study aimed to determine the authenticity of goat milk by differentiating pure goat milk from goat milk adulterated with cow milk using orthogonal partial least square discriminant analysis (OPLS-DA). In comparison with authentication based on amino acid content, the OPLS-DA model based on amino acid ratio exhibited a substantially lower coefficient of variation, and remarkable goodness-of-fit parameters (R2X = 0.99; R2Y = 0.80; Q2 = 0.65). Unadulterated goat milk was distinguished from goat milk adulterated with cow milk with 100% classification accuracy. Additionally, the model validation confirmed the excellent predictive ability of the OPLS-DA model. Lys, Glu, Pro, and Val were proposed as potential markers between goat milk and adulterants. The procedure was successfully established to detect commercial goat milk adulteration.
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