Löser Christian, Haas Christiane, Liu Wanqiong, Grahl Sebastian, Bley Thomas
Chair of Bioprocess Engineering Institute of Natural Materials Technology Technische Universität Dresden Dresden Germany.
Eng Life Sci. 2018 May 16;18(7):459-474. doi: 10.1002/elsc.201700195. eCollection 2018 Jul.
The ability of for converting lactose into ethyl acetate offers a chance for the economical reuse of whey. Iron plays a significant role in this process as ester synthesis requires a low intracellular iron content, . The iron content in turn is decreased by growth due to cell expansion and increased by iron uptake. Thus, the iron-uptake rate, , is important for the considered process. Iron uptake by DSM 5422 was studied in aerobic cultivation on a whey-borne medium with varied initial iron content, in part combined with a feed of iron under intensive growth conditions. A possible precipitation of iron that would pretend iron uptake was verified not to have occurred. Regularly measured dissolved iron concentrations, , allowed the and parameters to be obtained by model-based iron balancing. The achieved data were used for establishing a ( , ) model. Mathematical simulations based on this iron-uptake model reproduced the performed cultivation processes. The created iron-uptake model allows for a future predictive system to be developed for the optimization of biotechnological ester production.
将乳糖转化为乙酸乙酯的能力为乳清的经济再利用提供了机会。铁在这一过程中起着重要作用,因为酯合成需要低细胞内铁含量。铁含量又会因细胞扩张导致的生长而降低,并因铁摄取而增加。因此,铁摄取率对于所考虑的过程很重要。在具有不同初始铁含量的乳清培养基上进行好氧培养时,研究了DSM 5422对铁的摄取情况,部分实验是在密集生长条件下结合铁进料进行的。已证实不会发生可能会影响铁摄取的铁沉淀。定期测量的溶解铁浓度使得能够通过基于模型的铁平衡获得摄取率和摄取参数。所获得的数据用于建立一个(摄取率,摄取参数)模型。基于该铁摄取模型的数学模拟再现了所进行的培养过程。所创建的铁摄取模型有助于未来开发一个预测系统,以优化生物技术酯的生产。