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Nature of sorption of trivalent arsenic on novel iron oxyhydroxide stabilized starch/OMMT composite: A mechanistic approach
Journal of Water & Health ( IF 2.3 ) Pub Date : 2021-04-01 , DOI: 10.2166/wh.2021.267
P. Gogoi 1 , M. Das 2 , P. Begum 3 , T. K. Maji 2
Affiliation  

Materials which are chemically, energetically and operationally acceptable for arsenic water treatment are highly required. In this study a hybrid material (SICC) of aminated starch, oxyhydroxide of iron and OMMT clay has been demonstrated for arsenic treatment. This new material was highly efficient in arsenic water treatment which could reduce arsenic concentration far below detection limits. All binding interactions during material preparation and arsenic sorption were exclusively characterized with FT-IR, XRD and other spectroscopic tools. A molecular modeling on the basis of density functional theory was carried out to verify the above findings. Influence of material dose, treatment time, initial ion concentration, varying temperatures, etc., on extent of sorption was studied in detail. The thermodynamic parameters viz. ΔG (>–11 kJ/mol), ΔH (42.48 kJ/mol), ΔS (177.6 JK−1 mol−1) and E a (59.16 kJ/mol) determined the feasibility of the process, its endothermic behavior and most importantly the chemical nature of the sorption accompanied by ion-exchange to some extent. The sorption followed a monolayer chemisorption pattern as determined by the Langmuir model (R2 = 0.973, R L = 0.081) with a qmax = 2.04 at 303 K. The binding of As(III) on the material was governed by a pseudo second order kinetic model.



中文翻译:

新型羟基氧化铁稳定的淀粉/ OMMT复合材料上三价砷的吸附机理:一种机械方法

非常需要化学,能量和操作上可接受的砷水处理材料。在这项研究中,已证明了胺化淀粉,铁的羟基氧化物和OMMT粘土的混合材料(SICC)可用于砷处理。这种新材料在砷水处理中非常有效,可以将砷浓度降低到远低于检测极限的水平。材料制备和砷吸附过程中的所有结合相互作用均通过FT-IR,XRD和其他光谱学工具进行了表征。基于密度泛函理论进行了分子建模,以验证上述发现。详细研究了材料剂量,处理时间,初始离子浓度,变化的温度等对吸附程度的影响。热力学参数即。ΔG(> –11 kJ / mol),-1 mol -1)和E a(59.16 kJ / mol)决定了该方法的可行性,其吸热行为,最重要的是在一定程度上伴随着离子交换的吸附的化学性质。吸附遵循Langmuir模型(R 2 = 0.973,RL = 0.081)在303 K时aq max = 2.04的单层化学吸附模式。As (III)在材料上的结合受假二级动力学控制模型。

更新日期:2021-04-26
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