Optimization of sugar release from sweet sorghum bagasse following solvation of cellulose and enzymatic hydrolysis using response surface methodology

To release sugars effectively from sweet sorghum bagasse (SSB), a cellulose solvent and organic solvent‐based lignocellulose fractionation pretreatment approach was studied using response surface methodology (RSM). Based on RSM's central composite design, a batch experimental matrix was set up to determine the effects of reaction time (20–60 min) and temperature (40–60 °C) on delignification, total reducing sugar yield, glucan digestibility, and overall glucose yields following a pretreatment‐hydrolysis process. The optimum pretreatment conditions of 50 °C and 40 min led to 51.4% delignification, 86% overall glucose yield, and 61% overall xylose yield. An effort has also been made to obtain predictive models to illustrate the correlation between independent and dependent variables using RSM. The significance of the correlations and adequacy of these models were statistically tested for the selected objective functions. The optimum pretreatment condition predicted by the model was 49.1 °C and 39.2 min which matched the experimental data well. Results from this study can be applied to large scale biorefineries using sugars released from SSB for producing various biofuels. © 2013 American Institute of Chemical Engineers Biotechnol. Prog., 30:367–375, 2014

为了有效地从甜高粱蔗渣（SSB）中释放糖分，采用响应面法（RSM）研究了一种基于纤维素溶剂和有机溶剂的木质纤维素分级预处理方法。基于RSM的中心复合设计，建立了一批实验矩阵，以确定反应时间（20 - 60分钟）和温度（40 - 60°C）对脱木质素、总还原糖产量、葡聚糖消化率以及预处理 - 水解过程后的总葡萄糖产量的影响。50°C和40分钟的最佳预处理条件导致51.4%的脱木质素率、86%的总葡萄糖产率和61%的总木糖产率。还努力获得预测模型，以使用RSM说明自变量和因变量之间的相关性。对所选目标函数的相关性的显著性和这些模型的充分性进行了统计检验。该模型预测的最佳预处理条件为49.1°C和39.2分钟，与实验数据吻合良好。本研究结果可应用于利用从SSB中释放的糖分生产各种生物燃料的大规模生物精炼厂。© 2013美国化学工程师学会《生物技术进展》，2014年，30卷：367 - 375页