title: [Identification of reconstructed milk in raw milk using near infrared spectroscopy].
abstract: 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.
authors.affiliation: College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China. caundt@cau.edu.cn
authors.forename: Dong-hai
authors.initials: DH
authors.lastname: Han
authors.forename: Chao
authors.initials: C
authors.lastname: Lu
authors.forename: Yi
authors.initials: Y
authors.lastname: Liu
authors.forename: Fu-wei
authors.initials: FW
authors.lastname: Pi
mesh_terms: D000818:Animals; D002138:Calibration; D005240:Feasibility Studies; D008892:Milk / Q000737:chemistry*; D019265:Spectroscopy, Near-Infrared / Q000379:methods*