Optimizing the magnetic separation of strontium ion using modified zeolite with nano iron particles
Optimizing the magnetic separation of strontium ion using modified zeolite with nano iron particles
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使用纳米铁颗粒改性沸石优化锶离子磁分离
DOI：
10.1016/j.cscee.2022.100243
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发表时间：
2022
影响因子：
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通讯作者：
Khandaker Shahjalal
中科院分区：
文献类型：
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作者：
Shubair Tamer;Tahara Atsushi;Khandaker Shahjalal
本文通过动力学和平衡研究，研究了由沸石和纳米铁颗粒组成的磁性吸附剂（沸石/Fe0）对锶（Sr）的吸附行为。在动力学数据演示中，采用了伪一阶、伪二阶、Elovich和扩散模型。采用Langmuir、Freundlich、Dubinin-Radushkevich、Redlich-Peterson和Temkin等温模型对平衡数据进行分析。采用统计分析优化回归优度，评估影响除锶过程可靠性的模型敏感参数。吸附动力学数据与拟二阶模型拟合良好，表明吸附过程相当迅速。Langmuir吸附等温线是描述吸附过程的最佳模型，表明Sr的去除机制是涉及离子交换的单层化学吸附。结果表明，沸石/ fe0是一种较理想的吸附材料。
This work aims at investigating the adsorption behavior of a magnetic adsorbent (zeolite/Fe0) consisting of zeolite and nano iron particles toward strontium (Sr) by batch kinetic and equilibrium studies. In the kinetic data demonstration, pseudo-first-order, pseudo-second-order, Elovich and diffusion-based models were employed. The equilibrium data were analyzed using Langmuir, Freundlich, Dubinin–Radushkevich, Redlich–Peterson and Temkin isotherm models. Statistical analyses were also used to optimize the regression goodness and assess the model sensitive parameters that can affect the Sr removal process reliability. The adsorption kinetic data were found to be well fitted with the pseudo-second-order model, which showed that the process was quite rapid. The Langmuir adsorption isotherm was the best model to describe the adsorption process, indicating that the Sr removal mechanism was monolayer chemisorption involving ion exchange. It was confirmed that the zeolite/Fe0is an appropriate adsorbent material for the removal of Sr from contaminated water.