Journal of the Korean Wood Science and Technology

The Korean Society of Wood Science & Technology (한국목재공학회)
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Development of Moisture Content Prediction Model for Larix kaempferi Sawdust Using Near Infrared Spectroscopy

근적외선 분광분석법을 이용한 낙엽송 목분의 함수율 예측 모델 개발

  • Chang, Yoon-Seong (Department Forest Science, College of Agriculture and Life Sciences, Seoul National University) ;
  • Yang, Sang-Yun (Department Forest Science, College of Agriculture and Life Sciences, Seoul National University) ;
  • Chung, Hyunwoo (Department Forest Science, College of Agriculture and Life Sciences, Seoul National University) ;
  • Kang, Kyu-Young (Department of Biological and Environmental Science, College of Life Science and Biotechnology, Dongguk University) ;
  • Choi, Joon-Weon (Graduate School of International Agricultural Technology, Seoul National University) ;
  • Choi, In-Gyu (Department Forest Science, College of Agriculture and Life Sciences, Seoul National University) ;
  • Yeo, Hwanmyeong (Department Forest Science, College of Agriculture and Life Sciences, Seoul National University)
  • 장윤성 (서울대학교 농업생명과학대학 산림과학부) ;
  • 양상윤 (서울대학교 농업생명과학대학 산림과학부) ;
  • 정현우 (서울대학교 농업생명과학대학 산림과학부) ;
  • 강규영 (동국대학교 바이오시스템대학 바이오환경과학과) ;
  • 최준원 (서울대학교 국제농업기술대학원) ;
  • 최인규 (서울대학교 농업생명과학대학 산림과학부) ;
  • 여환명 (서울대학교 농업생명과학대학 산림과학부)
  • Received : 2015.01.13
  • Accepted : 2015.02.26
  • Published : 2015.05.25
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Abstract

The moisture content of sawdust must be measured accurately and controlled appropriately during storage and transportation because biological degradation could be caused by improper moisture. In this study, to measure the moisture contents of Larix kaempferi sawdust, the near-infrared reflectance spectra (Wavelength 1000-2400 nm) of sawdust were used as detection parameter. After acquiring the NIR reflection spectrum of specimens which were humidified at each relative humidity condition ($25^{\circ}C$, RH 30~99%), moisture content prediction model was developed using mathematical preprocessings (e.g. smoothing, standard normal variate) and partial least squares (PLS) analysis with the acquired spectrum data. High reliability of the MC regression model with NIR spectroscopy was verified by cross validation test ($R^2$ = 0.94, RMSEP = 1.544). The results of this study show that NIR spectroscopy could be used as a convenient and accurate method for the nondestructive determination of moisture content of sawdust, which could lead to optimize wood utilization.

저장 또는 운송단계에서 목분에 포함된 수분의 부적절한 조절은 생물학적 열화로 인한 품질하락 및 손실을 야기할 수 있기 때문에 목분의 함수율은 정확하게 측정되어야 하고 적절하게 조절되어야 한다. 본 연구에서는 근적외선(파장 대역: 1000-2400 nm) 분광분석법을 적용하여 낙엽송(Larix kaempferi) 목분의 함수율을 측정하고자 하였다. 각 상대습도($25^{\circ}C$, RH 30~99%) 단계별로 조습된 목분의 근적외선 반사스펙트럼을 측정하고, 적정 수학적 전처리(smoothing, standard normal variate)와 부분최소자승법을 적용하여 예측모델을 개발하였다. 도출된 함수율 예측모델은 높은 신뢰도를 보였다($R^2$ = 0.94, RMSEP = 1.544). 본 연구에서 개발된 근적외선 분광분석법을 통하여 비파괴적이면서 정확하고 신속한 목분 함수율의 측정과 효율적인 목재이용을 견인할 수 있으리라 기대된다.

Keywords

References

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