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Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
Published on: April 12, 2019
Density functional theory insights into the solvent effect on the binding energies of Cd2+ in functionalized MOFs
1Chemical Engineering Faculty, Industrial University of Ho Chi Minh City 700000 Vietnam Vu.hoa88@gmail.com.
Abstract:
The clean-up of cadmium-contaminated waters is a significant environmental issue, and metal-organic frameworks (MOFs) have been shown to be effective adsorbents with great potential. Yet, the basic principles driving Cd2+ binding in multiple solvent environments remain enigmatic and hinder rational adsorbent design. In this work, the solvent effects on the binding energies of Cd2+, referring to (M = -NH2, -OH, -COOH, and -NO2), are systematically investigated using DFT in four solvents (water, ethanol, methanol, and acetonitrile). Using the SMD implicit solvation model and the M06-2X functional with def2-TZVP basis set, we demonstrate that solvent polarity significantly affects binding thermodynamics, with aqueous systems demonstrating 68-72% weaker binding than acetonitrile. With binding energies of -156.8 kcal mol-1 (water), -187.3 kcal mol-1 (ethanol), -181.4 kcal mol-1 (methanol), and -198.5 kcal mol-1 (acetonitrile), the carboxyl-functionalized MOF exhibits exceptional performance in all solvents. Protic solvents (1.18-1.24|e|) exhibit greater charge transfer than aprotic acetonitrile (0.94-1.08|e|), according to natural bond orbital analysis. This is explained by hydrogen bonding networks stabilizing charge-separated coordination states. Predictive relationships for mixed-solvent industrial wastewater applications are established by the significant linear correlation between binding energies and inverse solvent polarity (R 2 = 0.96-0.98). These results directly address the pressing need for efficient cadmium remediation technologies in a variety of aqueous-organic media by offering crucial theoretical guidance for the design of solvent-adaptive MOF adsorbents optimized for particular industrial effluent compositions.
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