Optimization of Enzymatic Hydrolysis of Wheat Straw Pretreated by Alkaline Peroxide Using Response Surface Methodology

Optimization of Enzymatic Hydrolysis of Wheat Straw Pretreated by Alkaline Peroxide Using Response Surface Methodology
复制标题

DOI:
10.1021/ie8016863
复制
发表时间:
2009-08-05
影响因子:
4.2
通讯作者:
Wan, Yinhua
Wan, Yinhua
中科院分区:
工程技术3区
文献类型:
--
作者:
Qi, Benkun;Chen, Xiangrong;Wan, Yinhua

文献摘要

被引文献

相似文献

为了优化广泛应用的木质纤维素生物质-小麦秸秆(WS)的酶促转化,首先通过碱性过氧化氢进行酶促糖化预处理,得到由60.17%纤维素、29.53%半纤维素和4.59%木质素组成的底物。利用响应面法,进一步研究了酶载量、底物浓度、表面活性剂浓度和反应时间对WS酶解产率的影响。结果表明,酶载量和底物浓度均与表面活性剂浓度有相互作用。建立了预测水解率的二次多项式方程。实验结果与预测值吻合较好。因此,该模型可以成功地用于确定四个因素预测水解率的有效组合。
To optimize the enzymatic conversion of widely available lignocellulosic biomass-wheat straw (WS), pretreatment facilitating the enzymatic saccharification process was first performed by alkaline peroxide, resulting in a substrate consisting of 60.17% cellulose, 29.53% hemicelluloses, and 4.59% lignin. Using response surface methodology, the combined effects of enzyme loading, substrate concentration, surfactant concentration, and reaction time on hydrolysis yield from enzymatic saccharification of WS were further investigated. The results showed that both enzyme loading and substrate concentration had interactions with surfactant concentration. A quadratic polynomial equation for predicting the hydrolysis yield was developed. The experimental results were in good agreement with predicted values. Therefore, the model could be successfully used to identify the effective combinations of the four factors for predicting hydrolysis yield.