Bioprocess development and optimization are still cost- and time-intensive due to the enormous number of experiments involved. In this study, the recently introduced model-assisted Design of Experiments (mDoE) concept (Möller et al. in Bioproc Biosyst Eng 42(5):867, https://doi.org/10.1007/s00449-019-02089-7, 2019) was extended and implemented into a software (“mDoE-toolbox”) to significantly reduce the number of required cultivations. The application of the toolbox is exemplary shown in two case studies with Saccharomyces cerevisiae. In the first case study, a fed-batch process was optimized with respect to the pH value and linearly rising feeding rates of glucose and nitrogen source. Using the mDoE-toolbox, the biomass concentration was increased by 30% compared to previously performed experiments. The second case study was the whole-cell biocatalysis of ethyl acetoacetate (EAA) to (S)-ethyl-3-hydroxybutyrate (E3HB), for which the feeding rates of glucose, nitrogen source, and EAA were optimized. An increase of 80% compared to a previously performed experiment with similar initial conditions was achieved for the E3HB concentration.

由于涉及大量实验，生物过程开发和优化仍然是成本和时间密集型的。在这项研究中，最近引入的模型辅助实验设计 (mDoE) 概念（Möller 等人在 Bioproc Biosyst Eng 42(5):867, https://doi.org/10.1007/s00449-019-02089-7 , 2019) 被扩展并实施到一个软件 (“mDoE-工具箱”) 中，以显着减少所需的培养数量。工具箱的应用在两个关于酿酒酵母的案例研究中得到了示范. 在第一个案例研究中，分批补料过程在 pH 值和葡萄糖和氮源的线性上升进料速率方面进行了优化。使用 mDoE 工具箱，与之前进行的实验相比，生物质浓度增加了 30%。第二个案例研究是乙酰乙酸乙酯 (EAA) 到 ( S )-3-羟基丁酸 ( S )-乙基-3-羟基丁酸 (E3HB)的全细胞生物催化，为此优化了葡萄糖、氮源和 EAA 的供给速率。与先前在类似初始条件下进行的实验相比，E3HB 浓度增加了 80%。