Rodríguez Jorge, Kleerebezem Robbert, Lema Juan M, van Loosdrecht Mark C M
Department of Chemical Engineering, Universidade de Santiago de Compostela, School of Engineering, Spain.
Biotechnol Bioeng. 2006 Feb 20;93(3):592-606. doi: 10.1002/bit.20765.
The anaerobic conversion of organic matter to fermentation products is an important biotechnological process. The prediction of the fermentation products is until now a complicated issue for mixed cultures. A modeling approach is presented here as an effort to develop a methodology for modeling fermentative mixed culture systems. To illustrate this methodology, a steady-state metabolic model was developed for prediction of product formation in mixed culture fermentations as a function of the environmental conditions. The model predicts product formation from glucose as a function of the hydrogen partial pressure (P(H2)), reactor pH, and substrate concentration. The model treats the mixed culture as a single virtual microorganism catalyzing the most common fermentative pathways, producing ethanol, acetate, propionate, butyrate, lactate, hydrogen, carbon dioxide, and biomass. The product spectrum is obtained by maximizing the biomass growth yield which is limited by catabolic energy production. The optimization is constrained by mass balances and thermodynamics of the bioreactions involved. Energetic implications of concentration gradients across the cytoplasmic membrane are considered and transport processes are associated with metabolic energy exchange to model the pH effect. Preliminary results confirmed qualitatively the anticipated behavior of the system at variable pH and P(H2) values. A shift from acetate to butyrate as main product when either P(H2) increases and/or pH decreases is predicted as well as ethanol formation at lower pH values. Future work aims at extension of the model and structural validation with experimental data.
将有机物厌氧转化为发酵产物是一个重要的生物技术过程。到目前为止,对于混合培养物而言,预测发酵产物仍是一个复杂的问题。本文提出了一种建模方法,旨在开发一种对发酵性混合培养系统进行建模的方法。为了说明这种方法,开发了一个稳态代谢模型,用于预测混合培养发酵中产物的形成与环境条件的关系。该模型预测了葡萄糖发酵产物的形成与氢气分压(P(H2))、反应器pH值和底物浓度的关系。该模型将混合培养物视为一种单一的虚拟微生物,催化最常见的发酵途径,产生乙醇、乙酸、丙酸、丁酸、乳酸、氢气、二氧化碳和生物质。通过最大化受分解代谢能量产生限制的生物质生长产率来获得产物谱。优化过程受所涉及生物反应的质量平衡和热力学约束。考虑了跨细胞质膜浓度梯度的能量影响,并将传输过程与代谢能量交换相关联以模拟pH效应。初步结果定性地证实了系统在可变pH值和P(H2)值下的预期行为。预测了随着P(H2)升高和/或pH降低,主要产物从乙酸向丁酸的转变以及在较低pH值下乙醇的形成。未来的工作旨在扩展该模型并用实验数据进行结构验证。