Shao Xiongjun, Lynd Lee, Wyman Charles
Thayer School of Engineering at Dartmouth College, Hanover, New Hampshire 03755, USA.
Biotechnol Bioeng. 2009 Jan 1;102(1):66-72. doi: 10.1002/bit.22047.
A kinetic model of cellulosic biomass conversion to ethanol via simultaneous saccharification and fermentation (SSF) developed previously was validated experimentally using paper sludge as the substrate. Adsorption parameters were evaluated based on the data obtained at various values for fractional cellulose conversion. The adsorption model was then combined with batch SSF data to evaluate the cellulose hydrolysis parameters. With the parameters evaluated for the specific substrate, the discrete model was able to predict SSF successfully both with discrete addition of cellulase only and with discrete feeding of substrate, cellulase, and media. The model tested in this study extends the capability of previous SSF models to semi-continuous feeding configurations, and invites a mechanistic interpretation of the recently observed trend of increasing conversion with decreasing feeding frequency [Fan et al. (2007a) Bioprocess Biosyst Eng 30(1):27-34]. Our results also support the feasibility and utility of determining adsorption parameters based on data obtained at several conversions, particularly when the model is to be applied to extended reaction times rather than only initial hydrolysis rates. The revised model is considerably more computationally efficient than earlier models, and appears for many conditions to be within the capability of simulation using computational fluid dynamics.
先前开发的通过同步糖化发酵(SSF)将纤维素生物质转化为乙醇的动力学模型,以纸污泥为底物进行了实验验证。基于在纤维素转化分数的不同值下获得的数据评估吸附参数。然后将吸附模型与分批SSF数据相结合,以评估纤维素水解参数。利用针对特定底物评估的参数,离散模型能够成功预测仅离散添加纤维素酶以及离散进料底物、纤维素酶和培养基时的SSF。本研究中测试的模型将先前SSF模型的能力扩展到半连续进料配置,并引发了对最近观察到的随着进料频率降低转化率增加趋势的机理解释[Fan等人(2007a)生物过程生物系统工程30(1):27 - 34]。我们的结果还支持基于在几个转化率下获得的数据确定吸附参数的可行性和实用性,特别是当模型应用于延长的反应时间而不是仅初始水解速率时。修订后的模型在计算上比早期模型效率高得多,并且在许多条件下似乎在使用计算流体动力学进行模拟的能力范围内。