@misc{7986,
  abstract     = {{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.}},
  author       = {{Moser, André and Kuchemüller, Kim B. and Deppe, Sahar and Hernández Rodriguez, Tanja and Frahm, Björn and Pörtner, Ralf and Hass, Volker C. and Möller, Johannes}},
  booktitle    = {{Bioprocess and Biosystems Engineering}},
  isbn         = {{1615-7591}},
  issn         = {{1615-7605}},
  keywords     = {{Biocatalysis, Monte Carlo methods, Fed-batch strategy, Model-assisted design of experiments, Quality by design}},
  number       = {{4}},
  pages        = {{683--700}},
  publisher    = {{Springer}},
  title        = {{{Model-assisted DoE software: Optimization of growth and biocatalysis in Saccharomyces cerevisiae bioprocesses}}},
  doi          = {{10.1007/s00449-020-02478-3}},
  volume       = {{44}},
  year         = {{2021}},
}