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Published on: May 18, 2020
Improvement of a two-stage fermentation process for docosahexaenoic acid production by Aurantiochytrium limacinum
Silvina Mariana Rosa1, Marcelo Abel Soria, Carlos Guillermo Vélez
1Instituto de Investigaciones Biotecnológicas, IIB-CONICET, Universidad Nacional de San Martín, Buenos Aires, Argentina.
Abstract:
Statistical screening experimental designs were applied to identify the significant culture variables for biomass production of Aurantiochytrium limacinum SR21 and their optimal levels were found using a combination of Artificial Neural Networks, genetic algorithms and graphical analysis. The biomass value obtained (40.3g cell dry weight l(-1)) employing the selected culture conditions agreed with that predicted by the model. Subsequently, two significant culture conditions for docosahexaenoic acid (DHA) production were determined, finding that an inoculum of 10% (v/v), obtained from the previous (statistically optimized) stage, should be used in a DHA production medium having a molar C:N ratio of 55:1, to reach a production of 7.8 g DHA l(-1) d(-1). The production step was thereafter scaled in a 3.5l bioreactor, and DHA productivity of 3.7 g l(-1) d(-1) was obtained. This two-stage strategy: statistically optimized inoculum production (fist step) and a DHA production step, is presented for the first time to optimize a bioprocess conducive to the obtention of microbial DHA.
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