Removal of Cu2+, Cd2+, and Pb2+ from aqueous solution by fabricated MIL-100(Fe) and MIL-101(Cr): Experimental and molecular modeling study

Lesley Joseph, Moutoshi Saha, Sewoon Kim, Byung Moon Jun, Jiyong Heo, Chang Min Park, Min Jang, Joseph R.V. Flora, Yeomin Yoon

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13 Scopus citations

Abstract

In this study, two metal-organic frameworks [MIL-100(Fe) and MIL-101(Cr)] are fabricated and investigated to determine their ability to remove Cu2+, Cd2+, and Pb2+ from aqueous solution. MIL-100(Fe) and MIL-101(Cr) exhibited fast adsorption kinetics, achieving equilibrium in approximately 0.5 h. To evaluate the adsorption capacities of MIL-100(Fe) and MIL-101(Cr), the experimental data was fit to the Linear, Freundlich, and Langmuir isotherm models. Based on the sum of the squared error analysis, the experimental data fit most closely to the Freundlich model, followed closely by the Linear isotherm model. However, the values for the Freundlich parameter n were close to 1, which suggests that the adsorption followed the Linear isotherm model. The KLIN adsorption affinity coefficient [(mg/g)/(mg/L)] for the Linear isotherm model was the largest for Cu2+ (KLIN, MIL-100(Fe) = 14.9; KLIN, MIL-101(Cr) = 60.3), followed by Cd2+ (KLIN, MIL-100(Fe) = 12.9; KLIN, MIL-101(Cr) = 11.5) and Pb2+ (KLIN, MIL-100(Fe) = 4.44; KLIN, MIL-101(Cr) = 8.33). Characterization data of MIL-100(Fe) and MIL-101(Cr) showed specific surface areas of 1586 m2/g and 2505 m2/g for MIL-100(Fe) and MIL-101(Cr), respectively, along with the presence of various functional groups, including carboxyl and phenyl groups. Considering this data alongside the local energy decomposition analysis that was performed using molecular modeling, electrostatic interactions were determined to be the dominant adsorption mechanism for the removal of Cu2+, Cd2+, and Pb2+ by MIL-100(Fe) and MIL-101(Cr), which is consistent with other, similar adsorption studies. This study shows that MIL-100(Fe) and MIL-101(Cr) are effective adsorbents for the removal of heavy metals from aqueous solution.

Original languageEnglish
Article number106663
JournalJournal of Environmental Chemical Engineering
Volume9
Issue number6
DOIs
StatePublished - Dec 2021

Bibliographical note

Publisher Copyright:
© 2021 Elsevier Ltd

Keywords

  • Adsorption
  • Heavy metals
  • Metal-organic frameworks
  • Molecular modeling
  • Water treatment

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