Exploring Authentic Skim and Nonfat Dry Milk Powder Variance for the Development of Nontargeted Adulterant Detection Methods Using NIR Spectroscopy and Chemometrics
Author
Botros, Lucy L.Jablonski, Joseph
Chang, Claire
Bergana, Marti Mamula
Wehling, Paul
Harnly, James M.
Downey, Gerard
Harrington, Peter
Potts, Alan R.
Moore, Jeffrey C.
Keyword
Skim milk powderNonfat dry milk
Melamine
NIR spectroscopy
Chemometrics
PCA
Varimax
Compendial
Diffuse reflectance
Variance
Date
16/09/2013
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Exploring Authentic Skim and Nonfat Dry Milk Powder Variance for the Development of Nontargeted Adulterant Detection Methods Using Near-Infrared Spectroscopy and Chemometrics. Lucy L. Botros, Joseph Jablonski, Claire Chang, Marti Mamula Bergana, Paul Wehling, James M. Harnly, Gerard Downey, Peter Harrington, Alan R. Potts, and Jeffrey C. Moore. Journal of Agricultural and Food Chemistry, 2013, 61 (41), 9810-9818. DOI: 10.1021/jf4023433Abstract
A multinational collaborative team led by the U.S. Pharmacopeial Convention is currently investigating the potential of near-infrared (NIR) spectroscopy for nontargeted detection of adulterants in skim and nonfat dry milk powder. The development of a compendial method is challenged by the range of authentic or nonadulterated milk powders available worldwide. This paper investigates the sources of variance in 41 authentic bovine skim and nonfat milk powders as detected by NIR diffuse reflectance spectroscopy and chemometrics. Exploratory analysis by principal component analysis and varimax factor rotation revealed significant variance in authentic samples and highlighted outliers from a single manufacturer. Spectral preprocessing and outlier removal methods reduced ambient and measurement sources of variance, most likely linked to changes in moisture together with sampling, preparation, and presentation factors. Results indicate that significant chemical variance exists in different skim and nonfat milk powders that will likely affect the performance of adulterant detection methods by NIR spectroscopy.ae974a485f413a2113503eed53cd6c53
http://dx.doi.org/10.1021/jf4023433