백미의 총 식이섬유함량 예측 모델 개발을 위한 퓨리에변환 근적외선분광계의 적용
Application of Fourier Transform Near-Infrared Spectroscopy for Prediction Model Development of Total Dietary Fiber Content in Milled Rice
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친환경적이면서 신속한 비파괴 분석방법인 FT-NIR를 이용하여 백미의 총 식이섬유(TDF) 함량 예측모델을 개발하였다. 백미는 국내산으로 전남 지방에서 재배된 47개 품종과, 시중 유통 중인 13개 브랜드 미에 대해서 AOAC 방법에 준한 효소법에 의해 TDF 함량을 분석하였다. 습식 분석된 TDF 함량의 범위는 1.17-1.92% 이었다. FT-NIR로 측정된 스펙트럼의 검량식은 빛의 산란 효과를 최소화하기 위해 수학적 처리를 하였고, 몇 개의 특정 파장이 아닌 전 파장 영역(1,000-2,500 nm)에 대해서 PLS법으로 작성하였다. 얻어진 검량식의 정확도는 상관계수(r), SEE 및 SEP로 확인하였다. 백미 중 총 식이섬유 함량에 대한 회귀분석을 행한 결과, 검량식의 r은 0.9705, SEE는 0.0464, 검증식의 bias는 -0.0006, SEP가 0.0604로 측정 정확도가 우수하여 실제 적용이 가능함을 보여주었다.
Abstract
Fourier transform-near infrared (FT-NIR) spectroscopy is a simple, rapid, non-destructive technique which can be used to make quantitative analysis of chemical composition in grain. An interest in total dietary fiber (TDF) of grain such as rice has been increased due to its beneficial effects for health. Since measuring methods for TDF content were highly depending on experimental technique and time consumptions, the application of FT-NIR spectroscopy to determine TDF content in milled rice. Results of enzymatic-gravimetric method were 1.17-1.92%. Partial least square (PLS) regression on raw NIR spectra to predict TDF content was developed. Accuracy of prediction model for TDF content was certified for regression coefficient (r), standard error of estimation (SEE) and standard error of prediction (SEP). The r, SEE and SEP were 0.9705, 0.0464, and 0.0604, respectively. The results indicated that FT-NIR techniques could be very useful in the food industry and rice processing complex for determination of TDF in milled rice on real time analysis.
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