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Modeling and optimization study for microplastic removal from aquatic medium using Chroococcidiopsis species
Chemical Engineering Science ( IF 4.1 ) Pub Date : 2024-12-12 , DOI: 10.1016/j.ces.2024.121085
Payal Das, Manisha Bal

Microplastics (MPs) pose a significant hazard to the environment, especially for aquatic ecosystems. The occurrence of MPs in aquatic organisms and the growing consumption of seafood like fish and shellfish have raised concerns about the potentially harmful effects of microplastics on human health. In the present study, an extracellular polymeric substance (EPS) releasing freshwater blue-green microalgae, Chroococcidiopsis cubana, was selected to remove polystyrene (PS) MPs. Response surface methodology (RSM) integrated with central composite design (CCD) was chosen to optimize. Experiments were performed at various concentrations of MPs, and different concentrations of microalgal cells with time. The analysis of variance (ANOVA) demonstrated that the parameters significantly influenced the efficiency of MPs removal. A quadratic equation was established to accurately predict the MPs removal efficiency. Under optimal conditions, 91 % MPs removal efficiency was achieved at 11.2 days, with an MPs concentration of 89,352 numbers/mL and a microalgal cell concentration of 2,539,705 cells/mL.

中文翻译:


使用 Chroococcidiopsis 物种从水生介质中去除微塑料的建模和优化研究



微塑料 (MP) 对环境构成重大危害,尤其是对水生生态系统。水生生物中 MP 的出现以及鱼类和贝类等海鲜的消费量不断增加,这引起了人们对微塑料对人类健康潜在有害影响的担忧。在本研究中,选择了一种释放淡水蓝绿色微藻的细胞外聚合物物质 (EPS) Chroococcidiopsis cubana 来去除聚苯乙烯 (PS) MP。选择响应面法 (RSM) 与中央复合设计 (CCD) 相结合进行优化。在不同浓度的 MPs 和不同浓度的微藻细胞下随时间进行实验。方差分析 (ANOVA) 表明,这些参数显着影响 MPS 去除的效率。建立了一个二次方程来准确预测 MPs 去除效率。在最佳条件下,在 11.2 天时实现了 91% 的 MPs 去除效率,MPs 浓度为 89,352 个数字/mL,微藻细胞浓度为 2,539,705 个细胞/mL。
更新日期:2024-12-12
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