RT Conference_Proceedings
T1 Integration of metabolic models in biorefinery designs using superstructure optimisation
A1 Hauwaert, Lucas van der
A1 Regueira López, Alberte
A1 Mauricio Iglesias, Miguel
K1 Structured models
K1 Biorefinery design
K1 Superstructure optimisation
K1 Surrogate models
K1 Genome-scale metabolic models
AB In this work the integration of metabolic (structured) models, which describe the entire metabolic network of microorganisms, into a superstructure optimisation framework is presented. These models are of particular interest because they can predict the outcome of a fermentation with different substrates, and without the need of experimental data. In this contribution, a workflow for 2 types of structured models is described: i) genome-scale metabolic models (GEMs) and ii) community models where product yields can be influenced by environmental factors (e.g., pH). To showcase this methodology a simple case study is presented of a superstructure optimisation problem. With this case study it is demonstrated that the described workflow can aid the design of novel biorefineries, by screening potential cultures using metabolic models without the need of experimental data.
YR 2023
FD 2023-06-20
LK http://hdl.handle.net/10347/34344
UL http://hdl.handle.net/10347/34344
LA eng
NO Presentación en: 33rd European Symposium on Computer-Aided Process Engineering (ESCAPE-33)
DS Minerva
RD 28 abr 2026