Chlamydomonas reinhardtii Metabolic Pathway Analysis for Biohydrogen Production under Non-Steady-State Operation
Chlamydomonas reinhardtii Metabolic Pathway Analysis for Biohydrogen Production under Non-Steady-State Operation
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DOI：
10.1021/acs.iecr.5b02034
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发表时间：
2015-10
影响因子：
4.2
通讯作者：
Dongda Zhang;V. Vassiliadis
中科院分区：
文献类型：
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作者：
Dongda Zhang;V. Vassiliadis
本文提出了一种新的结构化动态模型来模拟绿藻产氢从好氧培养条件到厌氧培养条件的代谢反应网络，这在迄今为止的公开文献中尚未得到解决。提出了一种有效的参数估计方法，以避免从实验中测量基本动力学参数的困难。运用该方法，本研究构建了精确的动力学模型，其仿真结果与已发表的实验结果具有较高的可比性。目前的模型发现淀粉生成途径主要与产氢途径竞争，因为其活性被循环电子流途径增强。动态敏感性分析表明，提高产氢率最有效的方法是寻求最佳的硫浓度，而不是改变特定酶的活性。
This paper presents a novel structured dynamic model to simulate the metabolic reaction network of green algae hydrogen production from aerobic cultivation conditions to anaerobic cultivation conditions, which has not been addressed in the open literature to this date. An efficient parameter estimation methodology is proposed to avoid the difficulty of measuring essential kinetic parameters from experiments. By applying this methodology, the current study constructed an accurate dynamic model whose simulation results are highly comparable to the published experimental results. The current model finds that the starch generation pathway mainly competes with hydrogen production pathway, as its activity is enhanced by the cyclic electron flow pathway. From the dynamic sensitivity analysis, it is concluded that the most effective solution to enhance hydrogen production is to seek the optimal sulfur concentration in the culture, rather than to modify the activity of specific enzymes.