Nickel and iron-based metal-organic frameworks for removal of organic and inorganic model contaminants
Metal-organic frameworks (MOFs) are a promising class of porous nanomaterials in the field of environmental remediation. Ni-MOF and Fe-MOF were chosen for their advantages such as structural robustness and ease of synthesis route. The structure of prepared MOFs was characterized using FE-SEM, XRD, F...
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Veröffentlicht in: | Environmental research 2022-09, Vol.212 (Pt B), p.113164-113164, Article 113164 |
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Sprache: | eng |
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Zusammenfassung: | Metal-organic frameworks (MOFs) are a promising class of porous nanomaterials in the field of environmental remediation. Ni-MOF and Fe-MOF were chosen for their advantages such as structural robustness and ease of synthesis route. The structure of prepared MOFs was characterized using FE-SEM, XRD, FTIR, and N2 adsorption-desorption. The efficiency of MOFs to remove organic model contaminants (anionic Alizarin Red S (ARS) and cationic malachite green (MG) and inorganic fluoride was studied. Fe-MOF and Ni-MOF adsorbed 67, 88, 6% and 32, 5, and 9% of fluoride, ARS, and MG, respectively. Further study on ARS adsorption by Fe-MOF showed that the removal efficiency was high in a wide range of pH from 3 to 9. Moreover, dye removal was directly increased by adsorbent mass (0.1–0.75 g/L) and decreased by ARS concentration (25–100 mg/L). The pseudo-first-order kinetic model and Langmuir isotherm model with a qmax of 176.68 mg/g described the experimental data well. The separation factor, KL, was in the range of 0–1, which means the adsorption process was favorable. In conclusion, Fe-MOF showed remarkable adsorption of organic and inorganic model contaminants.
•Ni-MOF and Fe-MOF have structural robustness and ease of synthesis route.•The efficiency of MOFs to remove ARS, MG and inorganic fluoride was studied.•The pseudo-first-order and Langmuir isotherm model described the experimental data well.•The structural integrity of Ni-MOF and Fe-MOF, and challenges are provided. |
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ISSN: | 0013-9351 1096-0953 |
DOI: | 10.1016/j.envres.2022.113164 |