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신갈나무 약산 전처리 공정 중 반응표면분석법을 이용한 액상 가수분해물의 furfural 수율 탐색

Investigation of Furfural Yields of Liquid Hydrolyzate during Dilute Acid Pretreatment Process on Quercus Mongolica using Response Surface Methodology

  • 류가희 (서울대학교 농업생명과학대학 산림과학부) ;
  • 정한섭 (서울대학교 농업생명과학대학 산림과학부) ;
  • 장수경 (서울대학교 농업생명과학대학 산림과학부) ;
  • 홍창영 (서울대학교 농업생명과학대학 산림과학부) ;
  • 최준원 (서울대학교 국제농업기술대학원) ;
  • 최인규 (서울대학교 국제농업기술대학원)
  • Ryu, Ga-Hee (Department. of Forest Sciences, College of Agriculture & Life Sciences, Seoul National University) ;
  • Jeong, Han-Seob (Department. of Forest Sciences, College of Agriculture & Life Sciences, Seoul National University) ;
  • Jang, Soo-Kyeong (Department. of Forest Sciences, College of Agriculture & Life Sciences, Seoul National University) ;
  • Hong, Chang-Young (Department. of Forest Sciences, College of Agriculture & Life Sciences, Seoul National University) ;
  • Choi, Joon Weon (Graduate School of International Agricultural Technology, Seoul National University) ;
  • Choi, In-Gyu (Graduate School of International Agricultural Technology, Seoul National University)
  • 투고 : 2015.07.27
  • 심사 : 2015.09.22
  • 발행 : 2016.01.25

초록

본 연구에서는 약산 전처리 공정을 통해 신갈나무의 액상 가수분해물로부터 유용 화합물인 furfural을 생산하였고 반응표면분석법을 이용하여 고수율의 furfural을 생산할 수 있는 최적 전처리 조건을 구명하였다. 전처리 공정은 반응표면분석법 중 중심합성계획에 의하여 설계되었으며, 독립변수는 furfural 수율에 영향을 주는 반응온도($X_1$), 산 농도($X_2$), 반응시간($X_3$)으로 지정하였다. 종속변수(Y)는 약산 전처리로부터 생성된 furfural의 농도로 설정하였고 수율(Z)은 초기 시료 중량 대비 Y를 백분율로 나타내었다. 반응표면분석 결과, 반응온도($X_1$)가 furfural 수율에 가장 큰 영향을 주는 단일 독립변수로 나타났고, 두 변수의 영향을 보았을 때는 반응온도($X_1$)-산 농도($X_2$)의 상호작용이 furfural 수율에 가장 유의적인 인자로 확인되었다. 또한 반응표면분석법을 통해 예상된 약산 전처리의 최대 furfural 수율 조건은 반응온도($X_1$) $184^{\circ}C$, 산 농도($X_2$) 1.17%, 반응시간($X_3$) 5분이었으며 예상되는 최대 furfural 수율은 초기 시료 중량 대비 6.37%로 나타났다. 상기 최적 조건에서 실제 전처리를 수행한 결과, 생산된 furfural은 6.21%로 예상 수율과 근접하였으며 이를 통해 반응표면분석법을 이용하여 약산 전처리한 신갈나무의 액상 가수분해물로부터 생산된 furfural의 최적 수율 모델을 구축할 수 있었다.

In this study, furfural, which is one of the value-added chemicals, was produced from the hydrolyzate of Quercus mongolica using dilute acid pretreatment, and the optimal pretreatment condition was determined by Response Surface Methodology (RSM) to obtain high yield of furfural. Based on Central Composite Design, the pretreatment experiment was designed with parameters such as reaction temperature ($X_1$), acid concentration ($X_2$), and reaction time ($X_3$) as independent variables, while dependent variable was furfural concentration (Y), and furfural yield (Z) was shown as percentage of Y per a dry weight basis. According to results of RSM, it was confirmed that reaction temperature ($X_1$) was the most influence factor and reaction temperature ($X_1$)-acid concentration ($X_2$) was the most significant interaction factor on furfural yield. Also, the optimal condition for the highest furfural yield was predicted at reaction temperature of $184^{\circ}C$, acid concentration of 1.17%, and reaction time of 5 min by RSM, and expected maximum yield of furfural was 6.37%. Experimentally, the maximum yield of furfural produced at above optimal condition was 6.21%, and it was considerably similar with the predicted value, and therefore the model for furfural production from the hydrolyzate of Quercus mongolica during dilute acid pretreatment could be built using RSM.

키워드

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피인용 문헌

  1. Energy Efficiency of Fluidized Bed Drying for Wood Particles vol.44, pp.6, 2016, https://doi.org/10.5658/WOOD.2016.44.6.821