RT Journal Article
T1 Optimising bioreactor processes with in-situ product removal using mathematical programming: A case study for propionate production
A1 Hauwaert, Lucas van der
A1 Regueira López, Alberte
A1 Selder, Ludwig
A1 Zeng, An-Ping
A1 Mauricio Iglesias, Miguel
K1 Kinetic modelling
K1 Product inhibition
K1 Downstream processing
K1 Design under uncertainty
K1 Biotechnology
K1 Operational design
AB 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
PB Elsevier
YR 2022
FD 2022
LK http://hdl.handle.net/10347/29445
UL http://hdl.handle.net/10347/29445
LA eng
NO Computers & Chemical Engineering 168 (2022) 108059
NO This work was supported by project ALQUIMIA (PID2019-110993RJ-I00) funded by the Agencia Estatal de Investigación Alquimia: Proyecto de I- d-i Programa Retos de la sociedad modalidad Jovenes investigadores convocatoria. A. Regueira would like to acknowledge the support of the Xunta de Galicia through a postdoctoral fellowship (ED481B-2021-012)
DS Minerva
RD 24 abr 2026