Abstract
The Influence of Ingredients, Corn Particle Size, and Sample Preparation on the Predictability of the Near Infrared Reflectance Spectroscopy
Highlights
The near infrared reflectance spectroscopy (NIRS) technique provides rapid and accurate information from high resolution spectra for solid and liquid samples with minimal sample preparation
The purpose of this study was to determine the effect of alternative ingredient inclusion and corn particle size along with sample preparation method on the accuracy of the NIRS technique using standard calibrations provided with the instrument
Treatments were arranged as a 4 × 3 × 3 factorial with diet type (soybean meal (SBM) + DDGS (SD); SBM + fish meal + DDGS (SFD); SBM + fish meal + wheat bran (SFB); and SBM + wheat bran (SB)); corn particle size (400, 600, and 800 μm); and method of analysis
Summary
The near infrared reflectance spectroscopy (NIRS) technique provides rapid and accurate information from high resolution spectra for solid and liquid samples with minimal sample preparation. The NIRS technique can be used to determine the content of multiple nutrients (crude protein, fat, moisture, fiber, and amino acids) of both complete feeds and individual feedstuffs in a single scan, unlike individual wet chemistry methods. There is concern about the accuracy of NIRS predictions as results may be influenced by both equipment (equations) and sample factors (particle shape and size). Limited research is available on the influence of alternative ingredient diet formulations and corn particle size on the accuracy of the NIRS with standard calibrations and whether sample preparation may be of importance. The objective of this study was to determine the effect of alternative ingredient inclusion and corn particle size along with sample preparation method on the accuracy of the NIRS technique using standard calibrations provided with the instrument
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