Discrimination of adulterated milk based on two-dimensional correlation spectroscopy (2D-COS) combined with kernel orthogonal projection to latent structure (K-OPLS)

Applied Spectroscopy
Ren-Jie YangYanrong Yang

Abstract

A new method for discrimination analysis of adulterated milk and pure milk is proposed by combining two-dimensional correlation spectroscopy (2D-COS) with kernel orthogonal projection to latent structure (K-OPLS). Three adulteration types of milk with urea, melamine, and glucose were prepared, respectively. The synchronous 2D spectra of adulterated milk and pure milk samples were calculated. Based on the characteristics of 2D correlation spectra of adulterated milk and pure milk, a discriminant model of urea-tainted milk, melamine-tainted milk, glucose-tainted milk, and pure milk was built by K-OPLS. The classification accuracy rates of unknown samples were 85.7, 92.3, 100, and 87.5%, respectively. The results show that this method has great potential in the rapid discrimination analysis of adulterated milk and pure milk.

References

Jun 23, 2005·Applied Spectroscopy·Lorenzo LeónGerard Downey
Jul 13, 2007·Analytical Sciences : the International Journal of the Japan Society for Analytical Chemistry·Sumaporn KasemsumranArtaya Kiatsoonthon
Apr 24, 2009·Journal of Agricultural and Food Chemistry·Lisa J MauerReeta Davis
Aug 15, 2009·Applied Spectroscopy·Jianbo ChenSuqin Sun
Sep 18, 2010·Journal of Alzheimer's Disease : JAD·Eric WestmanAndrew Simmons

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Citations

Apr 27, 2016·Nanomedicine : Nanotechnology, Biology, and Medicine·Lina GengPeng Yu
Dec 30, 2015·Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy·Renjie YangWeiyu Zhang

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Software Mentioned

2D
COS
Shige
Matlab
OPLS Toolbox

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