Kumar Manish, Saini Supreet, Gayen Kalyan
Department of Chemical Engineering, Indian Institute of Technology Gandhinagar, Palaj, Gandhinagar 382055, Gujarat, India.
Department of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, Maharashtra, India.
Microorganisms. 2023 Jun 18;11(6):1610. doi: 10.3390/microorganisms11061610.
is an anaerobic bacterium that is extensively studied for its ability to produce butanol. Over the past two decades, various genetic and metabolic engineering approaches have been used to investigate the physiology and regulation system of the biphasic metabolic pathway in this organism. However, there has been a relatively limited amount of research focused on the fermentation dynamics of . In this study, we developed a pH-based phenomenological model to predict the fermentative production of butanol from glucose using in a batch system. The model describes the relationship between the dynamics of growth and the production of desired metabolites and the extracellular pH of the media. Our model was found to be successful in predicting the fermentation dynamics of , and the simulations were validated using experimental fermentation data. Furthermore, the proposed model has the potential to be extended to represent the dynamics of butanol production in other fermentation systems, such as fed-batch or continuous fermentation using single and multi-sugars.
是一种厌氧细菌，因其产生丁醇的能力而受到广泛研究。在过去二十年中，各种基因和代谢工程方法已被用于研究该生物体中双相代谢途径的生理学和调节系统。然而，针对其发酵动力学的研究相对较少。在本研究中，我们开发了一种基于pH的现象学模型，以预测在分批系统中利用从葡萄糖发酵生产丁醇的过程。该模型描述了生长动力学、所需代谢产物的产生与培养基细胞外pH之间的关系。我们发现该模型成功地预测了的发酵动力学，并使用实验发酵数据对模拟结果进行了验证。此外，所提出的模型有可能扩展以表示其他发酵系统中丁醇生产的动力学，例如使用单糖和多糖的补料分批发酵或连续发酵。
