Kadam Kiran L, Rydholm Eric C, McMillan James D
National Renewable Energy Laboratory, National Bioenergy Center, Biotechnology Division for Fuels and Chemicals, 1617 Cole Blvd., Golden, Colorado 80401, USA.
Biotechnol Prog. 2004 May-Jun;20(3):698-705. doi: 10.1021/bp034316x.
A multireaction kinetic model was developed for closed-system enzymatic hydrolysis of lignocellulosic biomass such as corn stover. Three hydrolysis reactions were modeled, two heterogeneous reactions for cellulose breakdown to cellobiose and glucose and one homogeneous reaction for hydrolyzing cellobiose to glucose. Cellulase adsorption onto pretreated lignocellulose was modeled via a Langmuir-type isotherm. The sugar products of cellulose hydrolysis, cellobiose and glucose, as well as xylose, the dominant sugar prevalent in most hemicellulose hydrolyzates, were assumed to competitively inhibit the enzymatic hydrolysis reactions. Model parameters were estimated from experimental data generated using dilute acid pretreated corn stover as the substrate. The model performed well in predicting cellulose hydrolysis trends at experimental conditions both inside and outside the design space used for parameter estimation and can be used for in silico process optimization.
针对玉米秸秆等木质纤维素生物质的封闭系统酶水解,开发了一种多反应动力学模型。对三个水解反应进行了建模,两个非均相反应是纤维素分解为纤维二糖和葡萄糖,一个均相反应是纤维二糖水解为葡萄糖。通过朗缪尔型等温线对纤维素酶在预处理木质纤维素上的吸附进行了建模。纤维素水解的糖产物纤维二糖和葡萄糖,以及木糖(大多数半纤维素水解产物中普遍存在的主要糖类),被假定为竞争性抑制酶水解反应。模型参数是根据以稀酸预处理玉米秸秆为底物产生的实验数据估算的。该模型在预测参数估计所用设计空间内外的实验条件下纤维素水解趋势方面表现良好,可用于计算机模拟过程优化。