LAPSE:2021.0556
Published Article
LAPSE:2021.0556
Predicting By-Product Gradients of Baker’s Yeast Production at Industrial Scale: A Practical Simulation Approach
Christopher Sarkizi Shams Hajian, Cees Haringa, Henk Noorman, Ralf Takors
June 21, 2021
Scaling up bioprocesses is one of the most crucial steps in the commercialization of bioproducts. While it is known that concentration and shear rate gradients occur at larger scales, it is often too risky, if feasible at all, to conduct validation experiments at such scales. Using computational fluid dynamics equipped with mechanistic biochemical engineering knowledge of the process, it is possible to simulate such gradients. In this work, concentration profiles for the by-products of baker’s yeast production are investigated. By applying a mechanistic black-box model, concentration heterogeneities for oxygen, glucose, ethanol, and carbon dioxide are evaluated. The results suggest that, although at low concentrations, ethanol is consumed in more than 90% of the tank volume, which prevents cell starvation, even when glucose is virtually depleted. Moreover, long exposure to high dissolved carbon dioxide levels is predicted. Two biomass concentrations, i.e., 10 and 25 g/L, are considered where, in the former, ethanol production is solely because of overflow metabolism while, in the latter, 10% of the ethanol formation is due to dissolved oxygen limitation. This method facilitates the prediction of the living conditions of the microorganism and its utilization to address the limitations via change of strain or bioreactor design or operation conditions. The outcome can also be of value to design a representative scale-down reactor to facilitate strain studies.
Keywords
bioprocess engineering, bioreactor, Computational Fluid Dynamics, concentration gradients, digital twin, mechanistic kinetic model, Saccharomyces cerevisiae, scale-down, scale-up
Suggested Citation
Sarkizi Shams Hajian C, Haringa C, Noorman H, Takors R. Predicting By-Product Gradients of Baker’s Yeast Production at Industrial Scale: A Practical Simulation Approach. (2021). LAPSE:2021.0556
Author Affiliations
Sarkizi Shams Hajian C: Institute of Biochemical Engineering, University of Stuttgart, 70569 Stuttgart, Germany [ORCID]
Haringa C: DSM Biotechnology Center, 2613 AX Delft, The Netherlands
Noorman H: DSM Biotechnology Center, 2613 AX Delft, The Netherlands; Department of Biotechnology, Delft University of Technology, 2628 CD Delft, The Netherlands
Takors R: Institute of Biochemical Engineering, University of Stuttgart, 70569 Stuttgart, Germany
Journal Name
Processes
Volume
8
Issue
12
Article Number
E1554
Year
2020
Publication Date
2020-11-27
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr8121554, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2021.0556
This Record
External Link

doi:10.3390/pr8121554
Publisher Version
Download
Files
[Download 1v1.pdf] (2.8 MB)
Jun 21, 2021
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
267
Version History
[v1] (Original Submission)
Jun 21, 2021
 
Verified by curator on
Jun 21, 2021
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2021.0556
 
Original Submitter
Calvin Tsay
Links to Related Works
Directly Related to This Work
Publisher Version