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Modeling the Influence of Temperature, Light Intensity and Oxygen Concentration on Microalgal Growth Rate

Ignacio López Muñoz 1 Olivier Bernard 1, 2
1 BIOCORE - Biological control of artificial ecosystems
CRISAM - Inria Sophia Antipolis - Méditerranée , LOV - Laboratoire d'océanographie de Villefranche, INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
Abstract : Dissolved oxygen plays a key role in microalgal growth at high density. This effect was so far rarely quantified. Here we propose a new model to represent the combined effect of light, oxygen concentration and temperature (LOT-model) on microalgae growth. The LOT-model introduces oxygen concentration in order to represent the oxidative stress affecting the cultures, adding a toxicity term in the expression of the net growth rate. The model was validated with experimental data for several species such as Chlorella minutissima, Chlorella vulgaris, Dunaliella salina, Isochrysis galbana. It successfully predicted experimental records with an average error lower than 5.5%. The model was also validated using dynamical data where oxygen concentration varies. It highlights a strong impact of oxygen concentration on productivity, depending on temperature. The model quantifies the sensitivity to oxidative stress of different species and shows, for example, that Dunaliella salina is much less affected than Chlorella vulgaris by oxidative stress. The modeling approach can support an optimization strategy to improve productivity, especially for managing high oxygen levels.
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https://hal.inria.fr/hal-03166641
Contributor : Jean-Luc Gouzé <>
Submitted on : Thursday, March 11, 2021 - 2:14:48 PM
Last modification on : Friday, March 12, 2021 - 3:32:21 AM

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Ignacio López Muñoz, Olivier Bernard. Modeling the Influence of Temperature, Light Intensity and Oxygen Concentration on Microalgal Growth Rate. Processes, MDPI, 2021, 9 (3), pp.496. ⟨10.3390/pr9030496⟩. ⟨hal-03166641⟩

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