Earticle

초록

영어

Fourier transform near-infrared (FT-NIR) spectroscopy and partial least squares (PLS) regression were used to predict the amylose content of polished rice. Spectral reflectance data in a wavelength range of 1,000 to 2,500 nm were obtained with a commercial spectrophotometer for 60 different varieties of Korean rice. For a comparison of this spectroscopic method to a standard chemical analysis, the amylose contents of the tested rice samples were determined by the iodine-blue colorimetric method. The highest correlation for the rice amylose (R2=0.94, standard error of prediction=0.20% amylose content) was obtained when using the FT-NIR spectrum data pre-treated with normalization, the first derivative, smoothing, and scattering correction

목차

Abstract
 Introduction
 Materials and Methods
 Results and Discussion
 References

키워드

저자

• Lee, Jin-Cheol [ Biotechnology Industrialization Center, Dongshin University ]
• Yoon, Yeon-Hee [ Biotechnology Industrialization Center, Dongshin University ]
• Kim, Sun-Min [ Biotechnology Industrialization Center, Dongshin University ]
• Pyo, Byong-Sik [ Biotechnology Industrialization Center, Dongshin University ]
• Hsieh, Fu-Hung [ Biological Engineering Department, University of Missouri ]
• Kim, Hak-Jin [ National Institute of Agricultural Engineering, Rural Development Administration ]
• Eun, Jong-Bang [ Department of Food Science and Technology and Institute of Agricultural Science and Technology, Chonnam National University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  Food Science and Biotechnology

• 간기

  격월간

• pISSN

  1226-7708

• 수록기간

  1992~2009

• 십진분류

  KDC 574 DDC 664