INVESTIGATION OF NATURAL EXTRACTS AS GREEN CORROSION INHIBITORS IN STEEL USING DENSITY FUNCTIONAL THEORY

Muhamad Akrom
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引用次数: 3

Abstract

. Steel is a material that has low resistance to corrosion when interacting with a corrosive environment. The application of natural extracts as green inhibitors is able to provide good performance in inhibiting corrosion of steel with high inhibition efficiency. Natural extracts that are effective and efficient as corrosion inhibitors on steel are those which in their compound structure contain heteroatom groups (such as O, N, S, P) and aromatic rings. This work provides an important comparative overview for the development of green inhibitor natural extracts in steel. The results of theoretical studies based on quantum mechanics with the DFT method at the atomic level based on molecular orbitals, chemical quantum parameters, and adsorption characteristics show results that are in accordance with experimental studies. The frontier molecular orbital (FMO) plot shows the distribution of electron density in the HOMO-LUMO region as a predictor of the active site of the inhibitor molecule interacting with the steel surface. Quantum chemical parameters such as ionization potential (I), electron affinity (A), absolute electronegativity (χ), hardness (η), softness (σ), fraction of electrons transferred (ΔN), electrophilicity (ɷ), and electron back-donation (ΔEback-donation) was calculated to obtain a correlation between the electronic properties of the inhibitor molecule and the corrosion inhibition potential. The results of the calculation of the quantum chemical parameters show the reactivity of the inhibitor molecule which has a very good potential to interact and bind strongly to the steel surface. This has the potential to make the inhibitor molecule have a high inhibition efficiency. Chemical adsorption and/or physical adsorption by forming complex compounds between inhibitor molecules and the steel surface are corrosion inhibition mechanisms to protect steel from a corrosive environment.The development of future studies should be able to display the mechanism of interaction and inhibition of inhibitor molecules in more detail and systematically at the atomic level on several metal surfaces such as Fe, Al, Cu, and others.
用密度泛函理论研究天然提取物作为绿色缓蚀剂在钢中的应用
. 钢是一种与腐蚀性环境相互作用时耐腐蚀性较低的材料。采用天然提取物作为绿色缓蚀剂对钢具有良好的缓蚀性能,缓蚀效率高。在化合物结构中含有杂原子基团(如O、N、S、P)和芳香环的天然提取物是对钢有效的缓蚀剂。本研究为钢铁中绿色抑制剂天然提取物的开发提供了重要的比较综述。基于量子力学的DFT方法在原子水平上基于分子轨道、化学量子参数和吸附特性的理论研究结果与实验研究结果一致。前沿分子轨道(FMO)图显示了HOMO-LUMO区域的电子密度分布,作为抑制剂分子与钢表面相互作用的活性位点的预测因子。计算了离子势(I)、电子亲和性(A)、绝对电负性(χ)、硬度(η)、柔软度(σ)、转移电子分数(ΔN)、亲电性()和电子回给(ΔEback-donation)等量子化学参数,得到了缓蚀剂分子的电子性质与缓蚀电位之间的相关性。量子化学参数的计算结果表明,抑制剂分子具有很好的反应活性,与钢表面有很强的相互作用和结合潜力。这有可能使抑制剂分子具有较高的抑制效率。化学吸附和/或物理吸附是通过在缓蚀剂分子和钢表面之间形成复杂的化合物来保护钢免受腐蚀环境的腐蚀的缓蚀机制。未来研究的发展应该能够在铁、铝、铜等几种金属表面上更详细、系统地显示抑制剂分子相互作用和抑制的机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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