Analysis using near-infrared reflectance spectroscopy (NIRS) was investigated as a means of predicting quality parameters of goat's milk. Calibration equations were developed with samples from individual goats of Malagueña and Murciano-Granadina dairy breeds at different stages of lactation to obtain a wide range of variation in milk composition. Prediction equations for milk fat, protein, casein, total solids, and somatic cell count (SCC) were developed with 2 sample presentations, liquid drawer (homogenized milk) and aluminium cup (unhomogenized milk), to measure absorbance values, and accuracy of measurements was compared. The multiple correlation coefficient (R) values for homogenized milk were 0.98, 0.96, 0.91, 0.94, and 0.79 and for unhomogenized milk were 0.98, 0.95, 0.92, 0.95, and 0.74 for fat, protein, casein, total solid, and SCC, respectively. To validate the calibrations, an independent set of samples was used. The best simple correlation coefficient (r) values were 0.97, 0.95, 0.91, 0.93, and 0.72 for homogenized milk and 0.97, 0.95, 0.92, 0.95, and 0.79 for unhomogenized milk. The study showed that NIRS is a useful technique for the prediction of fat, protein, casein, total solids, and SCC in unhomogenized goat's milk.
|Journal||Journal of AOAC International|
|Publication status||Published - 1 Jul 2003|