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Ultrasound-assisted removal of Al3+ ions and Alizarin red S by activated carbon engrafted with Ag nanoparticles: central composite design and genetic algorithm optimization

机译:纳米银接枝的活性炭超声辅助去除Al3 +离子和茜素红S:中心复合设计和遗传算法优化

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In this study, activated carbon engrafted with Ag nanoparticles (Ag-NPs-AC) was prepared and applied for ultrasonic assisted simultaneous removal of aluminum (Al3+) ions and Alizarin red S (ARS) dye from an aqueous medium. The physicochemical properties of Ag-NPs-AC were determined by different techniques such as SEM and FTIR. The effects of various operating parameters on the extent of adsorption were investigated. Optimum conditions were determined in order to achieve maximum removal percentage from the binary mixture. It was observed that the maximum performance for both the species was achieved at a pH of 6. The influence of different variables, such as the concentration of initial Al3+ (mg L-1) ions, ARS (mg L-1), adsorbent mass (mg) and sonication time (s), were studied using central composite design (CCD) combined with a desirability function approach (DFA) and genetic algorithm (GA). The isotherm models for the adsorption process were evaluated and the equilibrium data were accurately described by the Langmuir model with the maximum monolayer adsorption capacity for Al3+ ions and ARS as 222.2 and 232.6 mg g(-1), respectively.
机译:在这项研究中,制备了嫁接有Ag纳米颗粒(Ag-NPs-AC)的活性炭,并将其用于超声辅助同时从水性介质中去除铝(Al3 +)离子和茜素红S(ARS)染料。 Ag-NPs-AC的理化性质通过SEM和FTIR等不同技术测定。研究了各种操作参数对吸附程度的影响。确定最佳条件以实现从二元混合物中去除的最大百分比。观察到,这两种物质的最大性能都在pH值为6时实现。不同变量的影响,例如初始Al3 +(mg L-1)离子的浓度,ARS(mg L-1)的浓度,吸附剂质量(mg)和超声处理时间(s),是使用中央复合设计(CCD)结合期望函数方法(DFA)和遗传算法(GA)进行研究的。评估了吸附过程的等温模型,并通过Langmuir模型准确描述了平衡数据,最大单层吸附Al3 +离子和ARS的能力分别为222.2和232.6 mg g(-1)。

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