Kerkhof Iris, Puiman Lars, Straathof Adrie J J
Department of Biotechnology, Delft University of Technology, van der Maasweg 9, 2629 HZ, Delft, The Netherlands.
Appl Microbiol Biotechnol. 2024 Dec 20;108(1):540. doi: 10.1007/s00253-024-13364-3.
Syngas fermentation to ethanol has reached industrial production. Further improvement of this process would be aided by quantitative understanding of the influence of imposed reaction conditions on the fermentation performance. That requires a reliable model of the microbial kinetics. Data were collected from 37 steady states in chemostats and from many batch experiments that use Clostridium authoethanogenum. Biomass-specific rates from CO conversion experiments were related to each other according to simple reaction stoichiometries and the Pirt equation, with only the ratio of ethanol to acetate production remaining as degree of freedom. No clear dependency of this ratio on dissolved concentrations, such as CO or acetic acid concentration, was found. This is largely caused by the lack of knowledge about the dependency of the CO uptake rate (and hence all other rates) on the CO concentration. This knowledge gap is caused by a lack of dissolved CO measurements. For dissolved H, a similar gap applies. Modelling H consumption adds more degrees of freedom to the system, so that more structured experiments with H is needed. The inhibition of gas consumption by acetate and ethanol is partly known but needs further study. KEY POINTS: • Set of Clostridium autoethanogenum syngas fermentation data from chemostats. • Unstructured kinetic models can relate most biomass-specific rates to dilution rates. • Lack of dissolved gas measurements limits deeper understanding.
合成气发酵制乙醇已实现工业化生产。对施加的反应条件对发酵性能的影响进行定量理解,将有助于进一步改进这一工艺。这需要一个可靠的微生物动力学模型。数据收集自恒化器中的37个稳态以及许多使用自养乙醇梭菌的分批实验。根据简单的反应化学计量关系和Pirt方程,将CO转化实验中的生物质比速率相互关联,仅乙醇与乙酸盐生成的比例作为自由度。未发现该比例与溶解浓度(如CO或乙酸浓度)有明显的相关性。这主要是由于缺乏关于CO吸收速率(以及所有其他速率)对CO浓度依赖性的知识。这一知识缺口是由缺乏溶解CO测量造成的。对于溶解的H,也存在类似的缺口。对H消耗进行建模会给系统增加更多自由度,因此需要对H进行更具系统性的实验。乙酸盐和乙醇对气体消耗的抑制作用部分已知,但仍需进一步研究。要点:• 来自恒化器的自养乙醇梭菌合成气发酵数据集。• 非结构化动力学模型可将大多数生物质比速率与稀释率相关联。• 缺乏溶解气体测量限制了更深入的理解。