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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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Owing to their efficient photosynthesis, microalgae tend to possess superior growth rates and high lipid production, hence their significance to the biofuel sector. The bulk harvesting of microalgae from cultures is a substantial stage in advancing the production of biomass-based fuels. However, a reliable and cost-effective harvesting technology is not yet available. Foam flotation, which is a subcategory of the adsorptive bubble separation process, shows considerable promise for the harvesting and enrichment of microalgae biomass. The available literature indicates that virtually no data has been reported on the flotation kinetics of microalgae. Therefore, to better describe the recovery of microalgae by the flotation process, this work studied the flotation kinetics of the freshwater microalgae Chlorella vulgaris. The recovery of microalgae cells in a batch foam flotation column over time at different operating conditions was fitted to nine flotation kinetic models, including first, fractional, and second order kinetic models; a first order kinetic model with rectangular, exponential, gamma, and sinusoidal distributions of floatabilities; a second order kinetic model with rectangular distribution of floatabilities; a fully mixed reactor; and modified Kelsall flotation kinetic models. Evaluation of the kinetic models showed that the discrete rate constant model (i.e. modified Kelsall kinetic model) fitted the experimental data best. The modified Kelsall model shows the highest values of adjusted R2 (0.995) and the lowest values of mean squared error (2.63). Apart from the modified Kelsall model, which has discrete rate constants, no single kinetic model, with or without a continuous distribution, was sufficient to represent the flotation data, and the optimal model may vary under different conditions. More work is recommended using different freshwater and marine microalgae species.
机译:由于其有效的光合作用,微藻往往具有卓越的增长率和高脂质生产,因此对生物燃料部门的意义。从培养物中的微藻的散装收获是推进基于生物质的燃料的生产方面的实质性阶段。但是,可靠且经济高效的收获技术尚未使用。泡沫浮选是吸附泡沫分离过程的子类别,表明了对微藻生物质的收获和富集的相当大的承诺。可用文献表明,微藻的浮选动力学几乎没有报告任何数据。因此,为了通过浮选过程更好地描述微藻的回收,这项工作研究了淡水微藻小球藻的浮选动力学。在不同操作条件下随着时间的推移在批量泡沫浮选柱中恢复微藻细胞,适用于九浮选动力学模型,包括第一,分数和二阶动力学模型;具有矩形,指数,伽马和浮管的矩形动力学模型;具有矩形空洞分布的二阶动力学模型;完全混合的反应堆;并改性Kelsall浮选动力学模型。对动力学模型的评估表明,离散速率恒定模型(即改进的Kelsall动力学模型)最佳实验数据。修改后的KELALL模型显示了调整后R2(> 0.995)的最高值,以及平均误差的最低值(<2.63)。除了具有离散速率常数的改进的Kelsall模型之外,没有单一动力学模型,没有连续分布,足以表示浮选数据,并且最佳模型可能在不同的条件下变化。建议使用不同的淡水和海洋微藻物种建议更多的工作。

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