Because of the second place of milk adulteration in the food fraud lists, the study focused on the investigation of the cow milk as an adulterant in goat milk based on β-carotene presence in cow milk as s rapid method by Raman and Infrared spectroscopy with chemometric techniques.t Partial least squares regression (PLSR) and the soft independent modelling of class Analogy (SIMCA) models have developed to for the prediction of adulteration ratio and β-carotene content of mixtures on the spectral band at around 1373, 1454, and 956 cm-1 for infrared and 1005, 1154, and 1551 cm-1 for Raman spectroscopy respectively. The correlation coefficient for calibration (R2cal), standard error of calibration, standard error of performance, and correlation coefficient for validation (R2val) have calculated for mid-infrared and Raman techniques. The PLSR models showed excellent fit (R2 value > 96) and could accurately determine β-carotene content and percentage of spiked milk in a short time. SIMCA results showed that 20% intervals of the mixture could be differentiated barely from other mixtures by mid-infrared spectroscopy; however, there could not found significant discrimination by Raman spectroscopy. β-carotene could be considered as a biomarker of determination of adulteration concerning β-carotene content and mixture percentage, and discrimination of spiked mixture for the differentiation of goat and cow milk.
Keywords: Adulteration; Infrared spectroscopy; Raman spectroscopy; β-carotene.
© Association of Food Scientists & Technologists (India) 2020.