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Evaluation of reusable organic-inorganic nafion/layered double hydroxide nanohybrids for highly efficient uptake of mercury ions from aqueous solution
Applied Clay Science ( IF 5.3 ) Pub Date : 2018-09-01 , DOI: 10.1016/j.clay.2018.05.022
Maryam Shamsayei , Yadollah Yamini , Hamid Asiabi

Abstract In this study, we introduced a new strategy for efficient uptake of toxic mercury ions (Hg2+) from aqueous solutions using hybrid organic-inorganic nafion intercalated layered double hydroxide (Naf-LDH) with the molecular formula [Zn0.77Cr0.23(OH)2] (NO3)0.02 (nafion)0.21(nH2O). The resulting Naf-LDH exhibited both high uptake affinity (Kd = 6.0 × 107 mL g−1) and remarkable uptake capacity (302.14 mg g−1) for Hg2+ uptake from water, clearly demonstrating that Naf-LDH could act as a useful and effective adsorbent for removing Hg2+ from contaminated water. The uptake kinetic curves for Hg2+ fitted well with the pseudo-second order model, suggesting a chemical uptake mechanism via SO3−…Hg2+ and C-F…Hg2+ bonding. For the highly toxic Hg2+ (at ∼30 ppm concentration), the uptake was exceptionally rapid, showing a 77.6% uptake within 25 min, 92.7% uptake within 40 min, and 98.5% uptake within 1 h. The sorption isotherm for Hg2+ agrees with the Langmuir model, suggesting a monolayer uptake. Finally, application of Naf-LDH for the extraction and pre-concentration of trace amounts of Hg2+ provided satisfactory results in terms of sensitivity, linearity, and reproducibility, representing its high capability for use in the analysis of trace amounts of Hg2+.

中文翻译:

评价可重复使用的有机-无机 nafion/层状双氢氧化物纳米杂化物从水溶液中高效吸收汞离子

摘要 在本研究中,我们介绍了一种使用分子式为 [Zn0.77Cr0.23(OH) )2] (NO3)0.02 (nafion)0.21(nH2O)。由此产生的 Naf-LDH 表现出高吸收亲和力 (Kd = 6.0 × 107 mL g-1) 和显着的吸收能力 (302.14 mg g-1) 从水中吸收 Hg2+,清楚地表明 Naf-LDH 可以作为有用的和从污染水中去除 Hg2+ 的有效吸附剂。Hg2+ 的吸收动力学曲线与伪二级模型非常吻合,表明通过 SO3-…Hg2+ 和 CF…Hg2+ 键合的化学吸收机制。对于剧毒的 Hg2+(浓度约为 30 ppm),吸收异常迅速,在 25 分钟内吸收了 77.6%,92。40 分钟内吸收 7%,1 小时内吸收 98.5%。Hg2+ 的吸附等温线与朗缪尔模型一致,表明是单层吸收。最后,将 Naf-LDH 应用于痕量 Hg2+ 的提取和预浓缩在灵敏度、线性和重现性方面提供了令人满意的结果,表明其在痕量 Hg2+ 分析中的应用能力很强。
更新日期:2018-09-01
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