Sanaa Abdulhusain Ghraibit , Taghried Ali Salman , Shayma Muhsen Ahmad
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引用次数: 0
Abstract
Corrosion of mild steel in acidic environments is a major industrial and environmental concern. In this work, expired Dantrolene was investigated as a sustainable corrosion inhibitor for mild steel in 1 M H2SO4. Potentiodynamic polarization measurements showed high inhibition efficiency, reaching 92 % at 500 ppm and 318 K, with efficiency increasing with inhibitor concentration but decreasing at elevated temperatures. Adsorption followed the Langmuir isotherm and occurred spontaneously through a mixed physisorption–chemisorption mechanism. Density Functional Theory (DFT, B3LYP/6-31G) supported these findings, revealing that nitrogen and oxygen atoms, along with the aromatic conjugation in Dantrolene, facilitate strong donor–acceptor interactions with the steel surface. Complementary surface characterization confirmed the protective role of the inhibitor: FTIR identified active functional groups (C=O, –NO2, –NH) responsible for adsorption; SEM and AFM images revealed the formation of a protective film that reduced surface damage; and EDX spectra confirmed the presence of O and S atoms on the steel surface, indicating chemical interaction with the alloy. Together, these results demonstrate that expired Dantrolene is an effective, low-cost, and eco-friendly inhibitor, offering a dual benefit of corrosion protection and pharmaceutical waste management.
期刊介绍:
The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design.
As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.