Identification of reconstructed milk in raw milk using near infrared spectroscopy

Feasibility of reconstituted-milk identification in raw milk was investigated using near infrared spectroscopy. And the applicability of MSC for reconstituted-milk identification was discussed. The discrimination analysis calibration was developed by SIMCA method, and the result indicated that the accuracy of detection is 100%, when the content of reconstructed milk is above 20%, while for the 10% reconstituted milk, the accuracy of detection is 96.7%; On the other hand, the quantity models of reconstituted milk were calibrated by partial least squares regression (r = 0.971, RMSECV = 7.76%, RPD = 5.13), and there were no significant differences between actual value and reconstituted milk prediction value by t test (p = 0.01). All of these suggested that NIRS has good potential to detect adulteration of raw milk with reconstituted milk.