Advanced SearchSearch Tips
Prediction of Chemical Composition in Distillers Dried Grain with Solubles and Corn Using Real-Time Near-Infrared Reflectance Spectroscopy
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 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;
  PDF(new window)
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 (
Chemical composition;Corn;DDGS;NIRS;PLS;
 Cited by
AOAC. 1995. Official methods of analysis (16th ed.) Association of Official Analytical Chemist, Washington DC.

Cowe, I.A. and McNicol, J.W. 1985. The use of principal components in the analysis of near infrared spectra. Applied Spectroscopy. 39:257-266. crossref(new window)

Deaville, E.R. and Flinn, P.C. 2000. Near-infrared spectroscopy: an Alternative approach for the estimation of forage quality and voluntary intake. CAB International 2000. Forage Evaluation in Ruminant Nutrition. UK. pp. 301-320.

Filzmoser, P. 2004. A multivariate outlier detection method, in Proc. of the Seventh International Conference on Computer Data Analysis and Modeling. Minsk. Belarus. pp. 18-22.

Jocelyne, A., Graviou, D., Demarquilly, C., Perez, J.M. and Andrieu, J. 1996. Near-infrared reflectance spectroscopy to predict energy value of compound feeds for swine and ruminants. Animal Feed Science and Technology. 62:77-90. crossref(new window)

Kurt, V. and Filzmoser, P. 2009. Introduction to Mutivariate Statistical Analysis in Chemometrics (1st ed.). CRC Press. pp. 103-190.

Kays, S.E. and Franklin, E.B. 2002. Rapid prediction of gross energy and utilizable energy in cereal food products using near-infrared reflectance spectroscopy. Journal of Agricultural and Food Chemistry. 50:1284-1289. crossref(new window)

Kays, S.E., Douglas, D.A. and Sohn, M.Y. 2005. Prediction of fat in intact cereal food products using near-infrared reflectance spectroscopy. Journal of the science of food and agriculture. 85:1596-1602. crossref(new window)

Marten, G.C., Shenk, J.S. and Barton, F.E. 1989. Near infrared reflectance analysis of forage quality. USDA Agriculture Handbook. No 643, US Government. Washington DC, USA.

Marco, R., Atkinson, A. C. and Cerioli, A. 2009. Finding an unknown number of multivariate outliers. Journal of the Royal Statistical Society. B. 71(2):447-466. crossref(new window)

Norris, K.H., Barnes, R.E.F., Moore, J.E. and Shenk, J.S. 1976. Predicting forages quality by infrared reflectance spectroscopy. Journal of Animal Science. 43:889-897.

Park, H.S., Lee, J.K., Lee, H.W., Kim, S.G. and Ha, J.K. 2006. Prediction of the digestibility and energy value of corn silage by Near Infrared Reflectance Spectroscopy. Journal of the Korean Society of Grassland and Forage Science. 26(1):45-52. crossref(new window)

Paul, G. 2006. Practical Guide to Chemometrics. 2nd ed, CRC Press. London. pp. 168-211.

De Maesschalck, R., Jouan-Rimbaud, D. and Massart, D.L. 2000. The Mahalanobis distance. Chemometrics and Intelligent Laboratory Systems. 50:1-18. crossref(new window)

Shenk, J.S. and Westerhaus, M.O. 1991. Population definition, sample selection, and calibration procedures for near infrared reflectance spectroscopy. Crop Science. 31(2):469-474. crossref(new window)

Westad, F. and Martens, H. 2000. Variable selection in near infrared spectroscopy based on significance testing in partial least squares regression. Journal of Near Infrared Spectroscopy. 8:117-124. crossref(new window)