Bioethanol Production with Cyanobacteria by a Two-Stage Fermentation Strategy

TESTA, ROMINA LASRY; DELPINO, CLAUDIO; ESTRADA, VANINA; DIAZ, M. SOLEDAD

Computer Aided Chemical Engineering

Elsevier B.V.

Año: 2019 vol. 46 p. 499 - 504

1570-7946

In this work, we study in silico photoautotrophic bioethanol production with Synechocystis sp. PCC6803 by a two-stage approach in two bioreactors in series. In the first stage the conditions are set for the maximization of growth rate, with optimal conditions of light intensity and carbon sources, while in the second a state of nitrogen limited conditions that tends to maximize ethanol production instead of growth rate is considered. Both stages are optimized by Flux Balance Analysis with different objective functions: Maximization of biomass for the first stage and Minimization of ATP production for the second. A previously developed genome scale metabolic network model is used for the optimizations. Results are promising into considering this strategy experimentally.