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镁锌铁氧体作为 Cr(VI)和 Ni(II)离子去除的磁性吸附剂:阳离子分布和反结构建模。

Magnesium-zinc ferrites as magnetic adsorbents for Cr(VI) and Ni(II) ions removal: Cation distribution and antistructure modeling.

机构信息

Educational and Scientific Center of Material Science and Nanotechnology, Vasyl Stefanyk Precarpathian National University, Ivano-Frankivsk, 76018, Ukraine.

Department of Chemistry, Vasyl Stefanyk Precarpathian National University, 57 Shevchenko Street, 76018, Ivano-Frankivsk, Ukraine.

出版信息

Chemosphere. 2021 May;270:129414. doi: 10.1016/j.chemosphere.2020.129414. Epub 2020 Dec 26.


DOI:10.1016/j.chemosphere.2020.129414
PMID:33418216
Abstract

The magnesium-zinc ferrites MgZnFeO (x = 0…1) were studied as magnetic sorbents for environmental applications. Low-temperature Mössbauer spectroscopy was used to determine the distribution of magnesium and ferric ions in the spinel crystal lattice. The influence of Zn content on magnetic parameters was investigated on the basis of VSM data. As the molar ratio of zinc to magnesium increases from 0 to 1, the pH value decreases from 10.5 to 8.9. Langmuir and Freundlich models were used to check whether single-layer or multi-layer adsorption occurs. The adsorption of Cr(VI) and Ni(II) ions is well fitted by the Langmuir equation. To check the physical or chemical nature of the sorption process, the Dubinin-Radushkevich equation was used. It was found that the processes of adsorption of Cr(VI) and Ni(II) ions are of a chemical nature. The best Cr(VI) ion adsorption capacity was found for the MgZnFeO sample (q = 30.49 mg/g). The percentage of heavy metal removal by the mixed ferrite samples increases with increasing zinc content. The most effective sorbent for Ni(II) removal is the MgZnFeO sample (93.2%). Modeling the antistructure provides deeper insight into the mechanism of heavy metal adsorption. The obtained magnesium-zinc ferrites are promising magnetic adsorbents for removing chromate and nickel ions from the environment.

摘要

镁锌铁氧体 MgZnFeO(x=0…1)被研究作为环境应用的磁性吸附剂。低温穆斯堡尔光谱用于确定尖晶石晶格中镁和铁离子的分布。基于 VSM 数据研究了锌含量对磁性参数的影响。随着锌与镁摩尔比从 0 增加到 1,pH 值从 10.5 降低到 8.9。朗缪尔和弗伦德利希模型用于检查单层或多层吸附是否发生。Cr(VI)和 Ni(II)离子的吸附很好地符合朗缪尔方程。为了检查吸附过程的物理或化学性质,使用了杜宾宁-拉什科夫斯基方程。结果表明,Cr(VI)和 Ni(II)离子的吸附过程具有化学性质。对于 MgZnFeO 样品,发现 Cr(VI)离子的吸附容量最佳(q=30.49 mg/g)。重金属去除率随混合铁氧体样品中锌含量的增加而增加。对于 Ni(II)去除,最有效的吸附剂是 MgZnFeO 样品(93.2%)。反结构的建模提供了对重金属吸附机制的更深入了解。所得镁锌铁氧体是从环境中去除铬酸盐和镍离子的有前途的磁性吸附剂。

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[2]
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[3]
Removal of toxic Cr(VI) from aqueous medium with effective magnetic carbon-based nanocomposites.

Turk J Chem. 2023-9-30

[4]
Efficient removal of Cr(VI) contaminant using recoverable silica from volcanic ash as natural adsorbent: Synthesis and activity in the mechanism and kinetic adsorption.

Heliyon. 2023-12-9

[5]
Facile synthesis of flower shaped magnesium ferrite (MgFeO) impregnated mesoporous ordered silica foam and application for arsenic removal from water.

Sci Rep. 2023-12-7

[6]
Biochar supported metallo-inorganic nanocomposite: A green approach for decontamination of heavy metals from water.

PLoS One. 2023

[7]
Adsorption and separation of Cs(I) and Ba(II) from aqueous solution using zinc ferrite-humic acid nanocomposite.

Sci Rep. 2023-4-11

[8]
Magnetic Nanoparticles as Effective Heavy Ion Adsorbers in Natural Samples.

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[9]
Magnetic Adsorbents for Wastewater Treatment: Advancements in Their Synthesis Methods.

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[10]
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