LAPSE:2023.6112
Published Article
LAPSE:2023.6112
Novel Strategy for the Calorimetry-Based Control of Fed-Batch Cultivations of Saccharomyces cerevisiae
February 23, 2023
Typical controllers for fed-batch cultivations are based on the estimation and control of the specific growth rate in real time. Biocalorimetry allows one to measure a heat signal proportional to the substrate consumed by cells. The derivative of this heat signal is usually used to evaluate the specific growth rate, introducing noise to the resulting estimate. To avoid this, this study investigated a novel controller based directly on the heat signal. Time trajectories of the heat signal setpoint were modelled for different specific growth rates, and the controller was set to follow this dynamic setpoint. The developed controller successfully followed the setpoint during aerobic cultivations of Saccharomyces cerevisiae, preventing the Crabtree effect by maintaining low glucose concentrations. With this new method, fed-batch cultivations of S. cerevisiae could be reliably controlled at specific growth rates between 0.075 h−1 and 0.20 h−1, with average root mean square errors of 15 ± 3%.
Keywords
biocalorimetry, bioPAT, control, Crabtree-positive microorganism, Saccharomyces cerevisiae
Suggested Citation
Kottelat J, Freeland B, Dabros M. Novel Strategy for the Calorimetry-Based Control of Fed-Batch Cultivations of Saccharomyces cerevisiae. (2023). LAPSE:2023.6112
Author Affiliations
Kottelat J: School of Engineering and Architecture of Fribourg, HES-SO University of Applied Sciences and Arts Western Switzerland, CH-1700 Fribourg, Switzerland [ORCID]
Freeland B: School of Biotechnology, Dublin City University, Glasnevin, 9 Dublin, Ireland [ORCID]
Dabros M: School of Engineering and Architecture of Fribourg, HES-SO University of Applied Sciences and Arts Western Switzerland, CH-1700 Fribourg, Switzerland [ORCID]
Journal Name
Processes
Volume
9
Issue
4
First Page
723
Year
2021
Publication Date
2021-04-20
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr9040723, Publication Type: Journal Article
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LAPSE:2023.6112
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doi:10.3390/pr9040723
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Feb 23, 2023
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CC BY 4.0
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