Metabolic characterization and modeling of fermentation process of an engineered Geobacillus thermoglucosidasius strain for bioethanol production with gas stripping
Metabolic characterization and modeling of fermentation process of an engineered Geobacillus thermoglucosidasius strain for bioethanol production with gas stripping
复制标题
用于通过气提生产生物乙醇的工程热葡萄糖苷土芽孢杆菌发酵过程的代谢表征和建模
DOI:
10.1016/j.ces.2014.09.004
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发表时间:
2015
影响因子:
4.7
通讯作者:
Niu H
中科院分区:
文献类型:
--
作者:
Niu H
The recently engineeredGeobacillus thermoglucosidasiusstrain is an industrially potent thermophilic ethanologen. We employ a systematic approach to improve our understanding of the fermentation process using cellobiose as the substrate. Dynamic metabolic flux analysis clearly shows that the fluxes from pyruvate to lactate and formate are both strictly constrained throughout the process and that both the maximum ethanol yield (0.46C/C) and the maximum specific productivity (19.8 mmol C (g DCW)−1h−1) occur at late-exponential growth phase. Accordingly, extreme pathway analysis reduces the metabolic network into a macro reaction scheme, on which a dynamic metabolic model is built. The model is validated with experimental data, parameters are identified with confidence intervals, and global sensitivity analysis (Sobol׳ method) is performed. Model-based optimization predicts that ethanol productivity could increase from 34.2 in a typical batch process to 55.3 mmol L−1h−1in an optimum fed-batch process with higher ethanol yield. Furthermore, the optimal operating regime was identified to be continuous fermentation process with gas stripping, in which a high ethanol productivity of 113 mmol L−1h−1,i.e., 26.8 mmol C (g DCW)−1h−1, corresponding to 90.2% of the maximum theoretical ethanol yield could be achieved.
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影响因子:
3.8
作者:
Tang, Yinjie J.;Sapra, Rajat;Keasling, Jay D.
通讯作者:
Keasling, Jay D.
DOI:
--
发表时间:
--
期刊:
影响因子:
--
作者:
通讯作者:
--
影响因子:
4.7
作者:
M. Figueiredo;P. Calderbank
通讯作者:
P. Calderbank
影响因子:
4.7
作者:
H. Niu;Zakaria Amribt;P. Fickers;W. Tan;P. Bogaerts
通讯作者:
P. Bogaerts
影响因子:
3.2
作者:
Dauner, M;Storni, T;Sauer, U
通讯作者:
Sauer, U