No abstract

No abstract

No abstract

No abstract

Rigorous thermodynamic modeling, simulation, and optimization of the supercritical fractionation of EPA and DHA esters is presented. These valuable products are obtained from complex mixtures of fish oil fatty acid alkyl esters by high-pressure fractionation with supercritical carbon dioxide. A group contribution equation of state (GC-EOS) that provides reliable phase equilibrium and solubility predictions is used to support the process simulation. A correlation has been developed for the estimation of a thermodynamic model parameter:  the fish oil esters hard-sphere diameter. The capability of the group contribution equation of state is confirmed by a detailed comparison of predictions with experimental data. Rigorous simulation models for process units have been formulated within a nonlinear optimization model to maximize EPA and DHA esters recovery and purity from several natural fish oil mixtures with supercritical extraction.

No abstract

No abstract

Cyanobacteria have been considered as promising candidates for sustainable bioproduction from inexpensive raw materials, as they grow on light, carbon dioxide, and minimal inorganic nutrients. In this study, we present a genome-scale metabolic network model for Synechocystis sp. PCC 6803 and study the optimal design of the strain for ethanol production by using a mixed integer linear problem reformulation of a bilevel programming problem that identifies gene knockouts which lead to coupling between growth and product synthesis. Five mutants were found, where the in silico model predicts coupling between biomass growth and ethanol production in photoautotrophic conditions. The best mutant gives an in silico ethanol production of 1.054 mmol·gDW −1 ·h −1 . K E Y W O R D S bilevel programming, bioethanol, coupled mutant, cyanobacteria, genome-scale metabolic model, strain design SUPPORTING INFORMATION Additional supporting information may be found online in the Supporting Information section.How to cite this article: Lasry Testa R, Delpino C, Estrada V, Diaz SM. In silico strategies to couple production of bioethanol with growth in cyanobacteria. Biotechnology and Bioengineering.