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Title: RAPID PREDICTION OF ENERGY, DERIVED FROM FAT, IN CEREAL FOODS BY NEAR-INFRARED REFLECTANCE SPECTROSCOPY

Author
item Kays, Sandra
item Barton Ii, Franklin

Submitted to: Eastern Analytical Symposium
Publication Type: Abstract Only
Publication Acceptance Date: 6/13/2002
Publication Date: 12/1/2002
Citation: KAYS, S.E., BARTON II, F.E. RAPID PREDICTION OF ENERGY, DERIVED FROM FAT, IN CEREAL FOODS BY NEAR-INFRARED REFLECTANCE SPECTROSCOPY. THE 41ST EASTERN ANALYTICAL SYMPOSIUM. 2002. ABSTRACT NO. 148. P. 15.

Interpretive Summary: This is an abstract only. No intrepretive summary is required.

Technical Abstract: Previous work established NIR reflectance spectroscopy as an accurate method for the determination of gross energy and available energy in diverse cereal food products.* The current study investigates the potential of NIR spectroscopy for the evaluation of energy derived from fat*. Using NIR reflectance spectra (1104-2494 nm) obtained with a scanning monochromator and reference values for the energy derived from fat obtained using AOAC Methods 945.16, 992.23 and 991.43, a conversion factor of nine kcal per g fat, and bomb calorimetry, modified partial least squares models were developed for the prediction of calories derived from fat per g sample and percent of calories from fat*. Multiple coefficients of determination (0.97-0.98) and standard errors of cross validation for both models indicate that NIR spectroscopy provides a rapid and accurate method for the prediction of energy derived from fat in cereal foods. ***