가시광선 / 근적외선 분광 분석법을 이용한 쌀의 정백수율 측정

Determination of Rice Milling Ratio by Visible / Near-Infrared Spectroscopy

  • 김재민 (성균관대학교 생물기전공학과) ;
  • 민봉기 (한국식품개발연구원 쌀 연구사업) ;
  • 최창현 (성균관대학교 생물기전공학과)
  • 발행 : 1997.09.01

초록

The objective of this research was to develop model equations for measuring rice milling ratio by using visible / HIR spectroscopy. Twelve kinds of brown rice(n = 149) were milled to obtain various milling ratio ranged from 86% to 94%. Visible/NIR spectra were collected with a spectrophotometer with sample transport module. The reflectance and transmission spectra were measured in the range of 400~2, 500nm and 600~1, 400nm, respectively, with 2 nm intervals. Multiple linear regression(MLR), Partial least square (PLS), and Artificial neural network(ANN) were used to develop models. Model developed with reflectance spectra showed better prediction results then those with transmission spectra. The MLR model with six-wavelength obtained from first derivative spectra gave to the best results for measuring the rice milling ratio(SEP = 0.535, , $r^2$ = 0.980). The PLS model(SEP = 0.604, $r^2$= 0.976) and ANN model(SEP = 0.566, $r^2$= 0.978) also can be used to determine the rice milling ratio effectively.

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