Zakaria Ait El Caid, Omar Dagdag, Driss Benmessaoud Left, Mustapha Zertoubi
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引用次数: 0
Abstract
Context
Protecting copper against corrosion in harsh acidic conditions continues to be a significant challenge in materials research. This study examined three natural curcuminoids from Curcuma longa: curcumin (CUR), demethoxycurcumin (DEM), and bisdemethoxycurcumin (BIS), as environmentally benign corrosion inhibitors. Density functional theory (DFT) studies indicated that CUR possesses the shortest HOMO–LUMO energy gap (3.606 eV), the highest global softness, and the highest electrophilicity index, signifying increased chemical reactivity and robust donor–acceptor interactions. DEM exhibited a notable capacity to receive back-donated electrons. Adsorption studies indicated that all molecules assume a planar form on the copper surface, promoting π–surface interactions. Among the examined compounds, CUR had the greatest binding affinity with the lowest adsorption energy (−41.494 kJ.mol⁻1). These findings underscore that C. longa constituents are viable, sustainable, and eco-friendly alternatives to synthetic corrosion inhibitors for copper in acidic environments.
Methods
ORCA and Quantum ESPRESSO were employed to conduct all calculations within the context of density functional theory (DFT). Geometry optimizations and electronic structure calculations were conducted under strict self-consistent field (SCF) convergence criteria using the B3LYP functional, def2-SVP basis set, and def2/J auxiliary basis set. Periodic DFT calculations were conducted in Quantum ESPRESSO to investigate the adsorption properties. The wave functions were subjected to plane-wave cutoff energies of 30 Ry, while the charge density was subjected to 240 Ry.
期刊介绍:
The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling.
Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry.
Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.