Biotechnology Group, Department of Chemical Engineering, Islamic Azad University of Iran, Science and Research Branch, Tehran, Iran.
Great Lakes Institute for Environmental Research, University of Windsor, 401 Sunset Ave., Windsor, Ontario N9B 3P4, Canada.
Bioresour Technol. 2015 Jan;175:613-8. doi: 10.1016/j.biortech.2014.10.070. Epub 2014 Oct 22.
A metabolic network model for Clostridium butyricum was developed using six different carbon sources (sucrose, fructose, galactose, mannose, trehalose and ribose) to study the fermentative H2 production. The model was used for investigation of H2 production and the ability of growth on different substrates to predict the maximum abilities for fermentative H2 production that each substrate can support. NADH fluxes were calculated by the model as an important cofactor affecting on H2 production. Butyrate and acetate production were used as model assumptions and biomass formation was chosen as the objective function for flux analysis calculations. Among the substrates selected, sucrose and trehalose supported the maximum growth and H2 yields. The Cell Net Analyzer metabolic network model developed for H2 estimation revealed good correlation with experimental data and could be further used to study the effect of environmental conditions and substrates concentration on H2 yield.
利用 6 种不同的碳源（蔗糖、果糖、半乳糖、甘露糖、海藻糖和核糖），为丁酸梭菌开发了一个代谢网络模型，用于研究发酵产氢。该模型用于研究 H2 生成和不同底物上的生长能力，以预测每种底物能够支持的发酵 H2 生成的最大能力。模型计算了 NADH 通量，因为它是影响 H2 生成的重要辅因子。丁酸和乙酸的生成被用作模型假设，生物质形成被选为通量分析计算的目标函数。在所选择的底物中，蔗糖和海藻糖支持最大的生长和 H2 产量。为 H2 估计开发的 Cell Net Analyzer 代谢网络模型与实验数据具有良好的相关性，可进一步用于研究环境条件和底物浓度对 H2 产量的影响。
