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- W2510358085 abstract "Cereal grains are the basis for our most important foods; a large proportion of cultivated grains are milled and marketed as flour in order to produce breads, cakes, biscuits, and many other commodities. Both near-infrared (NIR) and mid-infrared (MIR) spectroscopy combined with multivariate data analysis (MVA) have been extensively used to measure chemical composition (eg, protein, moisture, and oil) in a wide number of grains including cereals and oilseeds, however, few reports can be found on the use of these methods and techniques for varietal discrimination and traceability. In this chapter an overview on applications of both NIR and MIR spectroscopy combined with MVA methods such as principal component analysis, partial least squares discriminant analysis, and linear discriminant analysis to aid the authentication and traceability of cereals are presented and discussed." @default.
- W2510358085 created "2016-09-16" @default.
- W2510358085 creator A5089696496 @default.
- W2510358085 date "2016-01-01" @default.
- W2510358085 modified "2023-10-16" @default.
- W2510358085 title "Authentication of Cereals and Cereal Products" @default.
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- W2510358085 doi "https://doi.org/10.1016/b978-0-08-100220-9.00016-3" @default.
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