Discrimination of adulterated milk based on Euclidian distances between two-dimensional infrared correlation spectra

• Published in: Guang pu xue yu guang pu fen xi Vol. 34; no. 8; p. 2098
• Main Authors: Yang, Ren-jie, Yang, Yan-rong, Dong, Gui-mei, Du, Yan-hong, Shan, Hui-yong, Zhang, Wei-yu
• Format: Journal Article
• Language: Chinese
• Published: China 01.08.2014
• ISSN: 1000-0593

Based on Euclidian distances between synchronous two-dimensional infrared correlation spectra, in terms of the average Euclidian distances between unknown samples and "extreme samples", and average intra- and inter-Euclidian distances of samples in the calibration set, a new method for the discrimination of adulterated milk was proposed. Sixteen pure milk samples were collected and 16 adulterated milk samples with urea (0.01-0.3 g x L(-1)), and 16 adulterated milk samples with melamine (0.01-0.3 g x L(-1)) samples were prepared, respectively. The IR absorption spectra of all samples were measured at room temperature. The synchronous two-dimensional correlation spectra were generated from concentration-dependent spectral variation of adulterant in milk. The Euclidian distances were calculated between synchronous two-dimensional infrared correlation spectra of all samples. Then, the classification models were built respectively for adulterated milk with urea, and adiulterated milk with melamine. The "extreme sa