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Article: Short-Wave Near-Infrared Spectroscopy of Milk Powder for Brand Identification and Component Analysis
- Article from:
- Journal of Dairy Science
- Article date:
- March 1, 2008
- Author:
CopyrightCopyright American Dairy Science Association Mar 2008. Provided by ProQuest LLC. (Hide copyright information)
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ABSTRACT
The aim of the present paper was to provide new insight into the short-wave near-infrared (NIR) spectroscopic analysis of milk powder. Near-infrared spectra in the 800- to 1,025-nm region of 350 samples were analyzed to determine the brands and quality of milk powders. Brand identification was done by a least squares support vector machine (LS-SVM) model coupled with fast fixed-point independent component analysis (ICA). The correct answer rate of the ICA-LS-SVM model reached as high as 98%, which was better than that of the LS-SVM (95%). Contents of fat, protein, and carbohydrate were determined by the LS-SVM and ICA-LS-SVM models. Both processes offered good determination ...