화학공학소재연구정보센터
학회 한국화학공학회
학술대회 2018년 봄 (04/25 ~ 04/27, 창원컨벤션센터)
권호 24권 1호, p.384
발표분야 생물화공
제목 Evaluation of ammonia pretreatment of canola straw based on multi-regression models
초록 In our previous work, the pretreatment of canola straw using alkaline reagents was performed based on experimental design of response surface methodology. The three major factors (reaction temperature, time and catalyst concentration) of pretreatment, the CCRD in RSM was applied with five-level-three-factors. In this study, the regression model was derived by analyzing the response of experimental results such as solid recovery (SR), enzymatic digestibility (ED), and biomass into glucose recovery (BtG), and numerical optimization for acceptable all responses was performed to obtain efficient pretreatment processes. The predicted results of the SR, ED, and BtG estimated by the model equations were 74.99%, 79.75%, and 26.29%, respectively. To verify the prediction of the models, the optimal conditions were applied in the ammonia pretreatment, and the SR, ED, and BtG after the treatment were 76.8% ± 1.5%, 82.4% ± 1.3%, and 27.7 ± 1.0%, respectively.
저자 유하영1, 이수권2, 이주훈2, 김동섭2, 김형렬2, 박철환3, 김승욱2
소속 1상명대, 2고려대, 3광운대
키워드 생물화공
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