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Improving refinery wastewater for microalgal biomass production and CO2 biofixation: Predictive modeling and simulation

机译:改善用于微藻生物质生产和CO2生物固定的炼厂废水:预测建模和模拟

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摘要

The objective of this research was to evaluate the use of refinery wastewater in microalgae cultivation for CO2 biofixation and biomass production. Two strategies were considered in making the use of wastewater viable for supporting biomass growth: (i) dilution of wastewater in synthetic BGN medium and (ii) supplementation of wastewater with salts from synthetic medium. Five mathematical growth models (logistic, Gompertz, modified Gompertz, Baranyi, and Morgan) were used to estimate the biomass productivity in continuous processes and to predict the following parameters of cell growth: lag phase duration, maximum specific growth rate and maximum cell concentration. The results demonstrated that the addition of 25% of the salts (w/v) in the BGN medium to wastewater favors microalgae growth. Using statistical and physiological significance criteria, the modified Gompertz model was considered the most appropriate for quantifying biomass growth. The model prediction analysis shows the possibility to obtain 1.41 kg_(biomass)/L_(reactor) in 1000 h of continuous processing with a consequent biofixation of 2.61 kg_(CO2)/L_(reactor).
机译:这项研究的目的是评估精炼废水在微藻培养中用于二氧化碳生物固定和生物质生产的用途。为了使废水能够用于支持生物量的增长,考虑了两种策略:(i)在合成BGN培养基中稀释废水,以及(ii)用合成培养基中的盐补充废水。五个数学增长模型(逻辑,Gompertz,改良的Gompertz,Baranyi和Morgan)用于估计连续过程中的生物量生产力,并预测细胞生长的以下参数:滞后期持续时间,最大比生长速率和最大细胞浓度。结果表明,向废水中添加BGN培养基中25%的盐(w / v)有利于微藻生长。使用统计学和生理显着性标准,认为改良的Gompertz模型最适合量化生物量的增长。模型预测分析表明,在连续处理的1000小时内获得1.41 kg_(生物量)/ L_(反应器)的可能性,结果生物固定为2.61 kg_(CO2)/ L_(反应器)。

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