TY - JOUR
T1 - Highly efficient ZIF-based adsorbents for the removal of Congo red dye and atorvastatin pharmaceutical pollutant
T2 - A study using molecular simulations and DFT calculations
AU - Namayandeh Jorabchi, Majid
AU - Salahshoori, Iman
AU - Mirnezami, Seyedeh Masoomeh Sadat
AU - Golriz, Mahdi
AU - Darestani, Mariam
AU - Moayed Mohseni, Mehdi
AU - Khonakdar, Hossein Ali
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2025/1
Y1 - 2025/1
N2 - This study presents an innovative strategy to develop high-efficiency adsorbents by functionalizing Zeolitic Imidazolate Framework-8 (ZIF-8) with tetrakis(4-carboxyphenyl)porphyrin (TCPP), targeting the removal of challenging water pollutants"”specifically, Congo Red (CONRED) dye and Atorvastatin (ATORTN) drug residues"”through advanced molecular simulation techniques. Density functional theory (DFT) was applied to analyze the electronic properties of both pollutants and adsorbents, focusing on electrostatic potential, ionization energy, density of states, sigma profile, and Frontier molecular orbitals to provide a detailed picture of molecular reactivity. The properties of the adsorbents were assessed using the dipole autocorrelation function (DACF), isometric heat capacity (Cv), radius of gyration (Rg), density, and bulk and shear viscosity to establish their performance profiles. Molecular dynamics (MD) and Monte Carlo (MC) simulations further explored adsorption behaviors, revealing high adsorption capacities for both pollutants, with ZIF-8/TCPP demonstrating superior adsorption capacity and selectivity, especially for ATORTN over CONRED. These findings underscore the potential of combining molecular simulations with quantum mechanical insights to advance the design of next-generation adsorbents for sustainable environmental remediation.
AB - This study presents an innovative strategy to develop high-efficiency adsorbents by functionalizing Zeolitic Imidazolate Framework-8 (ZIF-8) with tetrakis(4-carboxyphenyl)porphyrin (TCPP), targeting the removal of challenging water pollutants"”specifically, Congo Red (CONRED) dye and Atorvastatin (ATORTN) drug residues"”through advanced molecular simulation techniques. Density functional theory (DFT) was applied to analyze the electronic properties of both pollutants and adsorbents, focusing on electrostatic potential, ionization energy, density of states, sigma profile, and Frontier molecular orbitals to provide a detailed picture of molecular reactivity. The properties of the adsorbents were assessed using the dipole autocorrelation function (DACF), isometric heat capacity (Cv), radius of gyration (Rg), density, and bulk and shear viscosity to establish their performance profiles. Molecular dynamics (MD) and Monte Carlo (MC) simulations further explored adsorption behaviors, revealing high adsorption capacities for both pollutants, with ZIF-8/TCPP demonstrating superior adsorption capacity and selectivity, especially for ATORTN over CONRED. These findings underscore the potential of combining molecular simulations with quantum mechanical insights to advance the design of next-generation adsorbents for sustainable environmental remediation.
KW - Density functional theory
KW - Dye pollutants
KW - Molecular simulation
KW - Pharmaceutical pollutants
KW - Zeolitic imidazolate framework-8 (ZIF-8)
UR - http://www.scopus.com/inward/record.url?scp=85211990923&partnerID=8YFLogxK
U2 - 10.1016/j.jwpe.2024.106745
DO - 10.1016/j.jwpe.2024.106745
M3 - Article
AN - SCOPUS:85211990923
SN - 2214-7144
VL - 69
JO - Journal of Water Process Engineering
JF - Journal of Water Process Engineering
M1 - 106745
ER -