Computational insights into the corrosion inhibition mechanism of hyoscyamine and zonisamide on mild steel: A combined DFT, MD, and NCI analysis

IF 3.1 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Valentine Chikaodili Anadebe , Collince Omondi Awere , Abhinay Thakur , Konstantin P. Katin , Elyor Berdimurodov , Abir Boublia , Abdullah K. Alanazi , Titus Chinedu Egbosiuba , Yacine Benguerba , Eno E. Ebenso
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Abstract

This study employed density functional theory (DFT) and molecular dynamics (MD) simulations to investigate the mechanisms by which hyoscyamine (HYO) and zonisamide (ZNS) inhibit acid corrosion in mild steel. Examining electrical characteristics, surface binding, and inhibitory mechanisms, the study aimed to elucidate the relationship between molecular architectures and protective efficacy. Although protonation in acidic environments alters the effectiveness of both chemicals, DFT simulations show that they both efficiently decrease corrosion. The high electron-donating and accepting capabilities of the frontier electron spectroscopic HOMO and LUMO orbitals enabled the formation of strong charge-transfer bonds with iron atoms. The more effective alternative was ZNS as compared to HYO, which had a bigger energy gap (5.29 eV). The strong interactions between metals and inhibitors have been explained by finding reactive areas on oxygen, nitrogen, and sulfur atoms by molecular electrostatic potential studies and Fukui indices. The MD simulations confirmed the stable surface adsorption; HYO had a lower binding energy (256.217 kcal/mol) compared to ZNS (293.588 kcal/mol). The chemical adsorption of both inhibitors at a 3.5 Å radius from the surface was mainly driven by hydrogen bonding and van der Waals forces. Computational methods, combined with experimental data, indicate that both compounds exhibit high corrosion resistance. With more active binding sites, a narrower energy gap, and greater surface binding, ZNS outperforms the other. These results shed light on a potential approach to mitigating industrial acid corrosion and provide valuable insights for developing more effective corrosion inhibitors.

Abstract Image

山莨菪碱和唑尼沙胺对低碳钢的缓蚀机制的计算分析:DFT、MD和NCI的综合分析。
采用密度泛函理论(DFT)和分子动力学(MD)模拟研究了山莨菪碱(HYO)和佐尼沙胺(ZNS)抑制低碳钢酸腐蚀的机理。通过对电特性、表面结合和抑制机制的研究,该研究旨在阐明分子结构与保护效果之间的关系。尽管在酸性环境中质子化会改变这两种化学物质的有效性,但DFT模拟表明它们都有效地减少了腐蚀。前沿电子能谱HOMO和LUMO轨道具有较高的供电子和接受电子能力,使其与铁原子形成强的电荷转移键。ZNS比HYO更有效,其能隙更大(5.29 eV)。通过分子静电势研究和福井指数发现氧、氮和硫原子上的反应区,解释了金属与抑制剂之间的强相互作用。MD模拟证实了表面吸附稳定;HYO的结合能为256.217 kcal/mol,而ZNS的结合能为293.588 kcal/mol。两种抑制剂在离表面3.5 Å半径范围内的化学吸附主要由氢键和范德华力驱动。计算方法与实验数据相结合表明,这两种化合物都具有较高的耐腐蚀性。ZNS具有更多的活性结合位点、更窄的能隙和更强的表面结合能力。这些结果揭示了减轻工业酸腐蚀的潜在方法,并为开发更有效的缓蚀剂提供了有价值的见解。
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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
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.
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