Publisher : The Korean Society of Grassland and Forage Science
DOI : 10.5333/KGFS.2013.33.3.177
Title & Authors
Prediction of Chemical Composition in Distillers Dried Grain with Solubles and Corn Using Real-Time Near-Infrared Reflectance Spectroscopy Choi, Sung Won; Park, Chang Hee; Lee, Chang Sug; Kim, Dong Hee; Park, Sung Kwon; Kim, Beob Gyun; Moon, Sang Ho;
This work was conducted to assess the use of Near-infrared reflectance spectroscopy (NIRS) as a technique to analyze nutritional constituents of Distillers dried grain with solubles (DDGS) and corn quickly and accurately, and to apply an NIRS-based indium gallium arsenide array detector, rather than a NIRS-based scanning system, to collect spectra and induce and analyze calibration equations using equipment which is better suited to field application. As a technique to induce calibration equations, Partial Least Squares (PLS) was used, and for better accuracy, various mathematical transformations were applied. A multivariate outlier detection method was applied to induce calibration equations, and, as a result, the way of structuring a calibration set significantly affected prediction accuracy. The prediction of nutritional constituents of distillers dried grains with solubles resulted in the following: moisture (
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