Artículo
Metabolic Network design of Synechocystis sp. PCC 6803 to obtain bioethanol under autotrophic conditions
Fecha de publicación:
10/2017
Editorial:
Elsevier Science
Revista:
Computer Aided Chemical Engineering
ISSN:
1570-7946
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
In this work, we propose a genomic scale metabolic network model of the genetically engineered Synechocystis sp. PCC 6803 within a bilevel programming framework to study ethanol photosynthetic production. The model is studied under carbon limiting conditions with restricted photon flux. Maximum biomass and ethanol theoretical productions are obtained using flux balance analysis for the decoupled case. Furthermore, we formulate a bilevel programming problem, reformulated into a mixed integer linear problem (MILP), to study the possibility of coupling cell growth with ethanol production. Models are formulated within an equation-oriented framework in GAMS. Numerical results provide useful insights on ethanol production by this strain within the context of genomic-scale cyanobacterial metabolism.
Palabras clave:
Bilevel Programming
,
Ethanol
,
Knock-Outs
,
Synechocystis
Archivos asociados
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Identificadores
Colecciones
Articulos(PLAPIQUI)
Articulos de PLANTA PILOTO DE INGENIERIA QUIMICA (I)
Articulos de PLANTA PILOTO DE INGENIERIA QUIMICA (I)
Citación
Lasry Testa, Romina Daniela; Delpino, Claudio; Estrada, Vanina Gisela; Díaz, María Soledad; Metabolic Network design of Synechocystis sp. PCC 6803 to obtain bioethanol under autotrophic conditions; Elsevier Science; Computer Aided Chemical Engineering; 40; 10-2017; 2857-2862
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