Reference : Optimization of an Haematococcus pluvialis medium by a Genetic Algorithm-based strategy
Scientific congresses and symposiums : Poster
Life sciences : Biotechnology
Life sciences : Phytobiology (plant sciences, forestry, mycology...)
Optimization of an Haematococcus pluvialis medium by a Genetic Algorithm-based strategy
[fr] Optimisation d'un milieu de culture pour Haematococcus pluvialis par la méthode d'Algorithme Génétique
Fratamico, Anthony mailto [Université de Liège - ULiège > > Labo de Bioénergétique >]
Tocquin, Pierre mailto [Université de Liège - ULiège > Département des sciences de la vie > Physiologie végétale >]
Franck, Fabrice mailto [Université de Liège - ULiège > > Labo de Bioénergétique >]
Young Algaeneers Symposium (1st edition)
du 14 au 16 juin 2012
Wageningen University
[en] Haematococcus pluvialis ; Medium optimization ; Genetic Algorithm
[en] The successful use of living organisms for the production of biomass or metabolites requires a careful control and optimization over growing conditions. However the range of interacting parameters makes full optimization difficult and time-consuming. In this context, Genetic Algorithm-based (GA) methods emerge as promising strategies for optimization of biotechnological processes. However, the potential of GA in the microalgae field remains, today, poorly explored. As a proof-of-concept, we evaluated how GA could be applied for the optimization of a medium for high yield photoautotrophic growth of Haematoccocus pluvialis.
Fonds pour la formation à la Recherche dans l'Industrie et dans l'Agriculture (Communauté française de Belgique) - FRIA
Researchers ; Professionals

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