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In relation to this article, we declare that there is no conflict of interest.
Publication history
Received December 16, 2010
Accepted March 8, 2011
articles This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Statistical methodology for optimizing the dilute acid hydrolysis of sugarcane bagasse

Department of Chemical Engineering, Widener University, Chester, PA 19013, USA 1Korea Institute of Energy Technology Evaluation & Planning, 997-10 Daechi-dong, Gangnam-gu, Seoul 135-280, Korea
shbae@ketep.re.kr
Korean Journal of Chemical Engineering, May 2011, 28(5), 1172-1176(5), 10.1007/s11814-011-0058-9
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Abstract

In converting advanced biomass to fuel, one pretreatment that has been extensively explored is a high temperature, dilute-sulfuric acid (H2SO4) process. This effectively hydrolyzes the hemicellulosic portion of the lignocellulosic biomass to fermentable sugars. Our aim was to optimize the concentration of sulfuric acid and residence time to release xylose from the hemicellulose of sugarcane bagasse. According to response surface methodology (RSM),_x000D_ the optimum concentrations and residence time were determined. The experimental maximum yield for xylose production was found to be 78.9% at 170℃ , 0.24% acid, for 15 min, and 76.4% at 200 ℃, 0.22% acid, for 6 min. The predicted maximum yield obtained for the fitted model was found to be 80.3% and 78.1% for the conditions stated above, respectively. The experimental yield was around 1.5% lower than that of the predicted yield. It was confirmed in this study that pentose sugars (xylose and arabinose) derived from hemicellulose fraction were further degraded. The statistical optimization method, which incorporates reaction time, temperature and acid concentration, did prove to provide a useful means of trading off the combined effects of these three variables on total xylose recovery yields.

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