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Evaluation of the Potential for the Adulteration Screening of Imported Hay by Near Infrared Reflectance Spectroscopy
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  • Journal title : Journal of Animal Environmental Science
  • Volume 20, Issue 4,  2014, pp.183-188
  • Publisher : Korean Association for Livestock Housing and Environment
  • DOI : 10.11109/JAES.2014.20.4.183
 Title & Authors
Evaluation of the Potential for the Adulteration Screening of Imported Hay by Near Infrared Reflectance Spectroscopy
Park, Hyung-Soo; Lee, Hyo-Won; Kim, Ji-Hye; Lee, Sang-Hoon; Kim, Jong-Duck;
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Near-infrared reflectance spectroscopy (NIRS) was used to study the potential of adulteration of imported forage. Hay samples were prepared two set ; calibration set and validation one. The former were mixed 12 sets from 100% to 50% with Yangcho (Chinese leymus, leymus chinensis Trin.) and the latter were adulterated with 6 set of 8% to 38% in 5% interval. Mixed materials with Yangcho were rice straw, reed and alfalfa. Stand error of prediction (SEP) in calibration equation for alfalfa, reed and rice straw were 0.97, 0.97 and 0.99 also 0.54, 0.86 and 1.26%. Multiple correlation coefficient () for alfalfa, reed and rice straw were 0.99, 0.97 and 0.99. SEP in the same samples were 1.88, 2.15 and 1.49, respectively.
NIRS;Hay;Calibration equation;Standard error of prediction;
 Cited by
Kim, J.K., Kim, J.C., Ko, H.U., Lee, J.B., Kim, Y.S., Park, Y.B., Lee, M.J., Kim, M.G., Kim, K.A., Park, E.M., 2007. Quantitative analysis of contents of vegetable oils in sesame oils by NIRS. J. Fd Hyg. Safety. 22(4), 257-267.

Noh, M.J., Min, S.S., Park, Y.S., Kim, S.J., 2004. A study on the determination of adulteration of sesame oil by near infrared spectroscopy. Korean J. Food Sci. Techol. 36(4), 527-530.

MAFRA., 2013, The measure for revitalization of forage production and utilization.

Lee, H.S., Lee, Y.D., Park, D.S., Park, Y.J., Kim, S.K., Keum J.S., 2001. A study on the nutritive value of distributed roughage in domestic market. Korean Grassl. Sci. 21(3), 109-114.

Lee, H.W., Park, H.S., Kim J.D., 2001. Studies on near infrared reflectance spectroscopy(NIRS) analysis of corn for silage. J. Anim. Sci. and Technol. 43(6), 981-988.

Cho, H,J, Ha, Y.L., 2002. Determination of honey quality by near infrared spectroscopy. Korean J. Food Sci. Techol. 34(3), 356-360.

De, M.J., Fernandez P.J.A., Fumiere, O., Garrido-Varo, A., Guerrero, J.E., Petez-Marin, D.C., Dardenne, P., Baeten, V., 2007. Discrimination of fish bones from other animal bones in the sedimmented fraction of compound feeds by near infrared microscopy. J. Near Infrared Spectrosc. 15, 81-88. crossref(new window)

Jacquemoud, S., Baret, F., 1990. Prospect : A model of leaf optical properties spectra. Remote Sensing Environ. 34, 75-91. crossref(new window)

Osborne. B. G., Fearn, T., 1986. Near Infrared Spectroscopy in Food Analysis. Longman Scientific & Technical, U.K.

Penuelas, J., Fileela, I., 1998. Visible and near infrared reflectance techniques for diagnosing plant physiological status. Trends in Plant Science. 3, 151-156. crossref(new window)

Yang. Z., Han, L., Liu, X., Li, Q., 2008. Detecting and quantifying meat meal or meat and bone meal contamination in fishmeal by visible and near infrared reflectance spectra. Anim. Feed Sci. and Tech. 147, 357-367. crossref(new window)