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Proceedings Paper

Adulteration detection in milk using infrared spectroscopy combined with two-dimensional correlation analysis
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Paper Abstract

Adulteration of milk and dairy products has brought serious threats to human health as well as enormous economic losses to the food industry. Considering the diversity of adulterants possibly mixed in milk, such as melamine, urea, tetracycline, sugar/salt and so forth, a rapid, widely available, high-throughput, cost-effective method is needed for detecting each of the components in milk at once. In this paper, a method using Fourier Transform Infrared spectroscopy (FTIR) combined with two-dimensional (2D) correlation spectroscopy is established for the discriminative analysis of adulteration in milk. Firstly, the characteristic peaks of the raw milk are found in the 4000-400 cm-1 region by its original spectra. Secondly, the adulterant samples are respectively detected with the same method to establish a spectral database for subsequent comparison. Then, 2D correlation spectra of the samples are obtained which have high time resolution and can provide information about concentration-dependent intensity changes not readily accessible from one-dimensional spectra. And the characteristic peaks in the synchronous 2D correlation spectra of the suspected samples are compared with those of raw milk. The differences among their synchronous spectra imply that the suspected milk sample must contain some kinds of adulterants. Melamine, urea, tetracycline and glucose adulterants in milk are identified respectively. This nondestructive method can be used for a correct discrimination on whether the milk and dairy products are adulterated with deleterious substances and it provides a new simple and cost-effective alternative to test the components of milk.

Paper Details

Date Published: 26 February 2010
PDF: 9 pages
Proc. SPIE 7572, Optical Diagnostics and Sensing X: Toward Point-of-Care Diagnostics, 75720P (26 February 2010); doi: 10.1117/12.841580
Show Author Affiliations
Bin He, Tianjin Univ. (China)
Rong Liu, Tianjin Univ. (China)
Renjie Yang, Tianjin Univ. (China)
Kexin Xu, Tianjin Univ. (China)


Published in SPIE Proceedings Vol. 7572:
Optical Diagnostics and Sensing X: Toward Point-of-Care Diagnostics
Gerard L. Coté, Editor(s)

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