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Kinetic Study of Air Bubbles-Cetyltrimethylammonium Bromide (CTAB) Surfactant for Recovering Microalgae Biomass in a Foam Flotation Column

机译:气泡 - 十六烷基三甲基溴化铵(CTAB)表面活性剂在泡沫浮选柱中回收微藻生物质的动力学研究

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摘要

Owingto their efficient photosynthesis, microalgae tend to possess superior growthrates and high lipid production, hence their significance to the biofuelsector. The bulk harvesting of microalgae from cultures is a substantial stagein advancing the production of biomass-based fuels. However, a reliable andcost-effective harvesting technology is not yet available. Foam flotation,which is a subcategory of the adsorptive bubble separation process, showsconsiderable promise for the harvesting and enrichment of microalgae biomass.The available literature indicates that virtually no data has been reported onthe flotation kinetics of microalgae. Therefore, tobetter describe the recovery of microalgae by the flotation process, this work studied the flotation kinetics of the freshwatermicroalgae Chlorella vulgaris. The recovery of microalgae cells in abatch foam flotation column over time at different operating conditions wasfitted to nine flotation kinetic models, including first, fractional, andsecond order kinetic models; a first order kinetic model with rectangular,exponential, gamma, and sinusoidal distributions of floatabilities; a secondorder kinetic model with rectangular distribution of floatabilities; a fullymixed reactor; and modified Kelsall flotation kinetic models. Evaluation of thekinetic models showed that the discrete rate constant model (i.e. modifiedKelsall kinetic model) fitted the experimental data best. The modified Kelsallmodel shows the highest values of adjusted R2 (>0.995) and thelowest values of mean squared error (<2.63). Apart from the modified Kelsallmodel, which has discrete rate constants, no single kinetic model, with orwithout a continuous distribution, was sufficient to represent the flotationdata, and the optimal model may vary under different conditions. More work isrecommended using different freshwater and marine microalgae species.
机译:欠款为了他们的高效光合作用,微藻往往具有卓越的增长率和高脂质生产,因此对生物燃料的重要性行业。来自培养物的微藻的散装收获是一个实质性的阶段在推进基于生物质的燃料的生产方面。但是,可靠和尚未提供经济高效的收获技术。泡沫浮选,这是吸附泡沫分离过程的子类别,表明对微藻生物质的收获和富集的相当合理。可用文献表明几乎没有报告数据微藻的浮选动力学。因此,到了更好地描述了浮选过程中微藻的回收,这项工作研究了淡水的浮选动力学微藻果蝇寻常。在a中的微藻细胞恢复在不同的操作条件下随着时间的推移批量泡沫浮选柱是适合九浮选动力学模型,包括第一,分数和二阶动力学模型;具有矩形的一阶动力学模型,指数,伽玛和浮管的窦和正弦分布;一秒用矩形分布达到动力学模型;一个完整的混合反应器;并改性Kelsall浮选动力学模型。评价这一点动力学模型表明,离散速率常数模型(即修改KELELALL动力学模型最佳实验数据。修改过的Kelsall.模型显示调整后R2(> 0.995)的最高值和平均误差的最低值(<2.63)。除了修改后的Kelsall具有离散速率常数的模型,没有单一动力学模型,具有或没有连续分布,足以代表浮选数据,最佳模型可能在不同的条件下变化。更多工作是建议使用不同的淡水和海洋微藻物种。

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