Mg-Fe - (CO3)层双氢氧化物吸附去除亚砷的模拟与分析及其在实际地下水中的应用

M. Yadav, A. Gupta, P. Ghosal, A. Mukherjee
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引用次数: 9

摘要

摘要通过对层状双氢氧化物吸附亚砷酸盐的动力学、等温线和热力学建模,分析了该体系的可行性、有效性和机理。在初始阶段观察到快速吸收,根据Elovich模型,在240 min达到平衡。扩散动力学模型表明,吸附的限速步骤由膜扩散和颗粒内扩散控制。等温线模型表明Freundlich方程的适用性,在283 ~ 323 K范围内Kf值为8.19 ~ 13.99 (mg g−1)(L mg−1)1/n,吸附量呈增加趋势,吸附量为ΔH0 (9.49 kJ mol−1)的正值进一步证实了吸附过程的吸热性质。通过ΔG0的负值确定了吸附反应的自发性质。还成功地将焙烧镁铁ldh吸附剂应用于实际砷污染地下水中砷的去除。采用人工神经网络(ANN)对吸附系统各工艺参数的影响进行了模拟。优化后的模型具有较高的R2、f值和较低的误差函数值,表明该模型具有较强的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and analysis of adsorptive removal of arsenite by Mg–Fe–(CO3) layer double hydroxide with its application in real-life groundwater
Abstract The kinetic, isotherm and thermodynamic modeling of the adsorption of arsenite by layered double hydroxide have been performed to analyze the feasibility, efficacy and mechanism of the system. The fast uptake was observed during the initial phase of the process, which reached equilibrium at 240 min following Elovich model. The diffusion kinetic model exhibited that the rate-limiting step of adsorption was controlled by film diffusion as well as intraparticle diffusion. The isotherm modeling revealed the applicability of the Freundlich equation with the Kf values as 8.19–13.99 (mg g−1)(L mg−1)1/n at 283–323 K showing the increasing trend of adsorption capacity, which was further confirmed by the positive value of ΔH0 (9.49 kJ mol−1) demonstrating the endothermic nature of the adsorption process. The spontaneous nature of the adsorption reaction was established by the negative values of ΔG0. Application of the calcined Mg–Fe–LDH adsorbent for the removal of arsenic from real arsenic contaminated groundwater was also successfully performed. The effect of process parameters of the adsorption system was modeled by an artificial neural network (ANN) for adsorption capacity and removal efficiency. The optimized model exhibited high R2, F-value and low values of error functions, establishing the significant applicability of the ANN model.
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