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Optimising bioreactor processes with in-situ product removal using mathematical programming: a case study for propionate production
Citation Link: https://doi.org/10.15480/882.4753
Publikationstyp
Journal Article
Publikationsdatum
2022-11-06
Sprache
English
Enthalten in
Volume
168
Article Number
108059
Citation
Computers and Chemical Engineering 168: 108059 (2022-12-01)
Publisher DOI
Scopus ID
Publisher
Elsevier Science
Designing and operating bioreactors with in-situ product removal (ISPR) can be challenging, particularly in discontinuous systems, where the ISPR and substrate feeding need to be effectively scheduled. Mathematical models can help assess different scheduling regimes in the fermentation medium and provide a means to optimise the process. Focusing on a propionate production case study, a model of a co-culture batch fermentation with electrodialysis (the ISPR system), was developed. Using this model, the product yield and/or the productivity were maximised by 1) single objective optimisation maximising the product yield (0.49 gpropionate /gglucose) or productivity (0.75 gpropionate/L/h), 2) multi objective optimisation to pursue trade-off solutions between the yield and productivity and 3) a stochastic optimisation maximising the productivity robustly (0.64 gpropionate/L/h) to account for uncertainties associated to the model parameters. With this contribution it is demonstrated that, through mathematical models, ISPR can be implemented and adapted to the user's objectives.
Schlagworte
Biotechnology
Design under uncertainty
Downstream processing
Kinetic modelling
Operational design
Product inhibition
DDC Class
570: Biowissenschaften, Biologie
600: Technik
Publication version
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