| Abstract
| - AOAC method 996.01, used in cereal foods to determine total fat as defined by the U.S. NutritionLabeling and Education Act (NLEA), is laborious and time-consuming and utilizes hazardouschemicals. Near-infrared (NIR) reflectance spectroscopy, a rapid and environmentally benigntechnique, was investigated as a potential method for the prediction of total fat using AOAC method996.01 as the reference method. Near-infrared reflectance spectra (1104−2494 nm) of ground cerealproducts (n = 72) were obtained using a dispersive spectrometer, and total fat was determinedaccording to AOAC method 996.01. Using multivariate analysis, a modified partial least-squares modelwas developed for total fat prediction. The model had a SECV of 1.12% (range = 0.5−43.2%) anda multiple coefficient of determination of 0.99. The model was tested with independent validationsamples (n = 36); all samples were predicted within NLEA accuracy guidelines. The results indicatethat NIR reflectance spectroscopy is an accurate means of determining the total fat content of diversecereal products for nutrition labeling. Keywords: NIR; near-infrared; cereal foods; fat; lipid
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