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

机译:模拟温度,光强度和氧气浓度对微藻生长速率的影响

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摘要

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.
机译:溶解氧在高密度下在微藻生长中起着关键作用。到目前为止,这种效果很少量化。在这里,我们提出了一种新的模型来表示光,氧浓度和温度(批量)对微藻生长的综合影响。批量模型引入氧浓度,以表示影响培养物的氧化应激,在净生长速率表达中添加毒性术语。该模型用实验数据验证了几种物种,如小球藻Minutissima,Chllella Ventgaris,Dunaliella Salina,Isochrysis Galbana。它成功地预测了平均误差低于5.5%的实验记录。使用氧气浓度变化的动态数据还经过验证该模型。根据温度,它突出了氧气浓度对生产率的强烈影响。该模型量化了不同物种的氧化胁迫的敏感性,并且显示,例如,Dunaliella Salina通过氧化应激而比小球藻的胃部较小。建模方法可以支持优化策略以提高生产率,特别是用于管理高氧水平。

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