Multi-Objective Optimization of Biomass and Riboflavin Production Using Dynamic Flux Balance Analysis
- Author(s)
- Mohadeseh Nasershariat, Mahmoud Reza Pishvaie, Ramin Bozorgmehry Boozarjomehry, Steffen Waldherr
- Abstract
In this study, we investigate the discrepancies between the dynamic flux balance analysis model and experimental data regarding the growth of the microorganism Methylocystis hirsuta. While the model accurately predicts substrate uptakes, it tends to overestimate biomass production, resulting in significant deviations from observed growth outcomes. This comparison highlights the metabolic potential of this microorganism to produce other metabolites, particularly riboflavin during its growth phase, which may explain these discrepancies. The dynamic flux balance analysis model depends on genome-scale metabolic models, highlighting the need for careful selection of objective functions for calculating reaction fluxes and defining metabolic pathways. By focusing on maximizing both biomass and riboflavin production, we advocate for a multi-objective optimization approach. To address this, we employed Pareto analysis to assess the trade-offs between these two objectives, providing valuable insights into the optimal conditions for enhancing both biomass yield and riboflavin synthesis. Our findings emphasize the importance of developing refined modelling techniques that closely align with experimental results, ultimately aiding in the metabolic engineering studies and the design of more effective bioprocesses for microbial production systems.
- Organisation(s)
- Faculty of Life Sciences, Functional and Evolutionary Ecology
- External organisation(s)
- Sharif University of Technology Tehran
- DOI
- https://doi.org/10.11159/icbb25.166
- Publication date
- 2025
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 106044 Systems biology, 209006 Industrial biotechnology
- Keywords
- ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials, Biotechnology, Biomedical Engineering, Energy Engineering and Power Technology, Pollution, Mechanical Engineering, Management, Monitoring, Policy and Law, Electrical and Electronic Engineering
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/81c73297-4069-471f-9aff-04bc1dab141f