Metabolic models to investigate energy limited anaerobic ecosystems.
Metabolic models to investigate energy limited anaerobic ecosystems.
复制标题
研究能量有限的厌氧生态系统的代谢模型。
DOI：
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发表时间：
2009
影响因子：
2.7
通讯作者：
R. Kleerebezem
中科院分区：
文献类型：
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作者：
J. Rodríguez;G. Premier;A. Guwy;R. Dinsdale;R. Kleerebezem
厌氧废水处理正在从单纯去除污染物的理念转变为资源回收和废物处理相结合的理念。以能源丰富的产品形式进行能源回收的同时，废水处理为非产甲烷厌氧生物过程带来了新的兴趣，如厌氧生产氢、乙醇、溶剂、挥发性脂肪酸、生物塑料，甚至微生物燃料电池的电力。在好氧和产甲烷废水处理过程中广泛使用的现有基于动力学的建模方法，似乎不足以研究这种能量有限的微生物生态系统。相似微生物种类的巨大多样性，它们共享许多发酵反应途径，使得量化微生物群变得非常困难，并导致识别问题。提出了一种基于代谢反应网络而不是单独的微生物群的建模方法，作为描述厌氧微生物生态系统的替代方法，特别是用于预测作为环境条件的函数的产物形成。现有相关发酵途径的数量有限，再加上厌氧反应非常接近热力学平衡的事实，降低了这种方法的复杂性和产物形成通量方面的自由度。此外，这些厌氧微生物生态系统中的能量限制使得与能量相关的选择性力量通过有利于那些在所施加的条件下为生长提供最大能量的转化/微生物而进一步定义了系统的活动。
Anaerobic wastewater treatment is shifting from a philosophy of solely pollutants removal to a philosophy of combined resource recovery and waste treatment. Simultaneous wastewater treatment with energy recovery in the form of energy rich products, brings renewed interest to non-methanogenic anaerobic bioprocesses such as the anaerobic production of hydrogen, ethanol, solvents, VFAs, bioplastics and even electricity from microbial fuel cells. The existing kinetic-based modelling approaches, widely used in aerobic and methanogenic wastewater treatment processes, do not seem adequate in investigating such energy limited microbial ecosystems. The great diversity of similar microbial species, which share many of the fermentative reaction pathways, makes quantify microbial groups very difficult and causes identifiability problems. A modelling approach based on the consideration of metabolic reaction networks instead of on separated microbial groups is suggested as an alternative to describe anaerobic microbial ecosystems and in particular for the prediction of product formation as a function of environmental conditions imposed. The limited number of existing relevant fermentative pathways in conjunction with the fact that anaerobic reactions proceed very close to thermodynamic equilibrium reduces the complexity of such approach and the degrees of freedom in terms of product formation fluxes. In addition, energy limitation in these anaerobic microbial ecosystems makes plausible that selective forces associated with energy further define the system activity by favouring those conversions/microorganisms which provide the most energy for growth under the conditions imposed.