Remarkable adsorption of hydroquinone as an anion contaminant by using the magnetic supported bimetallic (NiCu-MOF@MAC) nanocomposites in aqueous solutions
| Autor: | Mohammad Zabihi, Esmaeil Fatehifar, Fatemeh Akbarbandari |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Materials science
Health Toxicology and Mutagenesis Nanocomposites chemistry.chemical_compound symbols.namesake Adsorption medicine Environmental Chemistry Bimetallic strip Nanocomposite Hydroquinone Magnetic Phenomena Langmuir adsorption model Water General Medicine Pollution Hydroquinones Kinetics Chemical engineering chemistry symbols Metal-organic framework Trimesic acid Water Pollutants Chemical Activated carbon medicine.drug |
| Zdroj: | Environmental science and pollution research international. 28(48) |
| ISSN: | 1614-7499 |
| Popis: | The purposes of this work were to synthesize the core-shell magnetic and nonmagnetic supported bimetallic metal-organic frameworks (MOFs) on the walnut-based activated carbon by the facile preparation method to investigate the feasibility of the performance adsorption of hydroquinone in the aqueous solutions. Activated carbon as a substrate and nickel, copper, and trimesic acid were employed in the structure of the prepared MOFs. The adsorbents were characterized by XRD, FTIR, FESEM, EDX, TEM, BET, and VSM analysis. The goethite and magnetite phases were detected in the morphology of the magnetic adsorbent as confirmed by the XRD pattern. Increases in the pH value from 6 and the adsorption temperature led to a lower adsorption capacity of the samples. The maximum adsorption capacity for the well-dispersed nanoparticles of magnetic (NiCu-MOF@MAC and nonmagnetic (NiCu-MOF@AC) was calculated to be 303.03 and 454.54 mg/g by using linear Langmuir isotherm as an appropriate model, respectively. The achievements from the reusability evaluation illustrated that the magnetic bimetallic MOF nanocomposite could successfully be applied to remove hydroquinone from the wastewater on an industrial scale. The kinetic experimental data was in good agreement with the pseudo-second–order model. |
| Databáze: | OpenAIRE |
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