奥美拉唑和替硝唑缓蚀机理的分子洞察:理论研究

IF 1.9 4区 化学 Q4 CHEMISTRY, PHYSICAL Molecular Simulation Pub Date : 2023-09-25 DOI:10.1080/08927022.2023.2256888
Savaş Kaya, Hassane Lgaz, Abhinay Thakkur, Ashish Kumar, Dilara Özbakır Işın, Nihat Karakuş, Samia Ben Ahmed
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引用次数: 0

摘要

在近年来发表的许多研究中,腐蚀科学家证明了各种药物分子对金属表面和合金的腐蚀具有很高的抑制性能。采用量子化学计算和分子动力学模拟研究了奥美拉唑和替硝唑在气相和水酸性条件下在钢表面的吸附行为和抑制机理。计算了已知的量子化学参数,如EHOMO、ELUMO、能隙、偶极矩、整体硬度、柔软度、亲电性、供电功率、电接受功率和电子转移分数,以了解所研究分子的缓蚀性能及其与钢表面的相互作用。用福井指数分析来鉴定分子的局部反应性。此外,蒙特卡罗模拟确定了抑制剂在Fe(110)表面的最佳吸附构型。该研究的发现为防止钢表面在酸性水环境中的腐蚀提供了有价值的见解。根据最大硬度、最小极化率和最小亲电性原则对所得理论数据进行了评价。关键词:缓蚀计算分析mcsfukui指数披露声明作者未报告潜在利益冲突。作者感谢沙特阿拉伯哈立德国王大学科学研究主任通过大型研究小组计划资助本工作,资助号为L.R.G.P2/3/44。
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Molecular insights into the corrosion inhibition mechanism of omeprazole and tinidazole: a theoretical investigation
ABSTRACTIn many studies published in recent years, corrosion scientists proved that various drug molecules can exhibit high inhibition performance against the corrosion of metal surfaces and alloys. This study presents the adsorption behaviour and inhibition mechanism of Omeprazole and Tinidazole on steel surface in gas phase and aqueous acidic conditions using quantum chemical calculations and molecular dynamics simulations. Well-known quantum chemical parameters such as EHOMO, ELUMO, energy gaps, dipole moment, global hardness, softness, electrophilicity, electrodonating power, electroaccepting power and the fraction of electron transfer, were calculated to understand the corrosion inhibition properties and interactions with the steel surface of the studied molecules. Fukui indices analysis was performed to identify the local reactivities of the molecules. Additionally, Monte Carlo simulations were used to determine the optimal adsorption configuration of the inhibitors onto a Fe (1 1 0) surface. The study's findings provide valuable insights into preventing corrosion of steel surfaces in aqueous acidic environments. The theoretical data obtained was evaluated in terms of Maximum Hardness, Minimum Polarizability and Minimum Electrophilicity Principles.KEYWORDS: Corrosioninhibitioncomputational analysisMCSFukui indices Disclosure statementNo potential conflict of interest was reported by the author(s).AcknowledgementsThe authors extend their appreciation to the Deanship of Scientific Research at King Khalid University, Saudi Arabia for funding this work through Large Research Groups Programme under grant number L.R.G.P2/3/44.
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来源期刊
Molecular Simulation
Molecular Simulation 化学-物理:原子、分子和化学物理
CiteScore
3.80
自引率
9.50%
发文量
128
审稿时长
3.1 months
期刊介绍: Molecular Simulation covers all aspects of research related to, or of importance to, molecular modelling and simulation. Molecular Simulation brings together the most significant papers concerned with applications of simulation methods, and original contributions to the development of simulation methodology from biology, biochemistry, chemistry, engineering, materials science, medicine and physics. The aim is to provide a forum in which cross fertilization between application areas, methodologies, disciplines, as well as academic and industrial researchers can take place and new developments can be encouraged. Molecular Simulation is of interest to all researchers using or developing simulation methods based on statistical mechanics/quantum mechanics. This includes molecular dynamics (MD, AIMD), Monte Carlo, ab initio methods related to simulation, multiscale and coarse graining methods.
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