Abstract
Wavelength and mathematical treatments were optimized for the determination of oil, protein, moisture and crude fiber components in the ground seeds of nine oil-bearing crops [rape, flax, sunflower, safflower sesame, palm kernel, groundnut (peanut), soybean spectroscopy. Optimum wavelengths, selected for the estimation of various components, were influenced by the algorithm (math treatment) used and differed among crops. The second derivative math appeared to be better suited for the estimation of all constituents. Methods for sample preparation of all constituents. Methods for sample preparation and analytical results are discussed. The accuracy was quite satisfactory for routine quality control and evaluation purposes, and precision was equal to that of standard analyses.
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Pandord, J.A., Williams, P.C. & deMan, J.M. Analysis of oilseeds for protein, oil, fiber and moisture by near-infrared reflectance spectroscopy. J Amer Oil Chem Soc 65, 1627–1634 (1988). https://doi.org/10.1007/BF02912567
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DOI: https://doi.org/10.1007/BF02912567