![]() ![]() 5C is a graph showing NIR predictive ability of the NIR calibration developed using the bottom sieve of the Penn State Particle Separator device according to Example 1.įIG. 5B is a graph showing NIR predictive ability of the NIR calibration developed using the middle sieve of the Penn State Particle Separator device according to Example 1.įIG. 5A is a graph showing NIR predictive ability of the NIR calibration developed using the top sieve of the Penn State Particle Separator device according to Example 1.įIG. 4 is a graph showing NIR predictive ability of the NIR calibration developed using an Alternative Particle Scorer device according to Example 1.įIG. 3 is a perspective view of an Alternative Particle Scorer device according to an exemplary embodiment.įIG. 2B is a perspective view of the two-sieve Penn State Particle Separator device of FIG. 2A is a perspective view of a two-sieve Penn State Particle Separator device according to an exemplary embodiment.įIG. 1 is a perspective view of a three-sieve Penn State Particle Separator device according to an exemplary embodiment.įIG. However, such known NIR instruments may not be able to predict the particle score of forages with accuracy. NIRsys II 5000 near infrared reflectance spectrometer or the FOSS INFRAXACT near infrared reflectance spectrometer or the FOSS XDS NIR analyzer, or FOSS NIRS DS2500, all commercially available from FOSS of Eden Prairie, Minn., USA, also known as Metrohm NIRSystems of Metrohm AG, or the Bruker FT-NIR, commercially available from Bruker Corporation of Billerica, Mass., USA. It is also known to determine the chemical properties of forage (e.g., percentage crude protein fat, ash, fiber, etc.) using a near infrared reflectance (NIR) spectrometer (spectrophotometer), such as the FOSS model no. ![]() However, such known particle scorers may be somewhat imprecise. C24682N commercially available from Nasco Catalog Outlet Store of Fort Atkinson, Wis., USA. It is known to determine the particle score of a forage sample using a particle scorer such as the Penn State Three-Sieve Forage Particle Separator model no. Aspects of the disclosure are particularly directed to predicting a particle score of a forage sample using near infrared spectroscopy. ![]() The present disclosure relates generally to spectroscopy. 20, 2013, which is herein incorporated by reference in its entirety. 61/919,258, entitled PARTICLE SCORE CALIBRATION, filed on Dec. ![]() This application claims the benefit of U.S. ![]()
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