Application of expired Febuxostat drug as an effective corrosion inhibitor for steel in acidic medium: Experimental and theoretical studies

IF 2.218 Q2 Chemistry
Mohit Jaiswal, Akhil Saxena, Jasdeep Kaur
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引用次数: 0

Abstract

This work investigates the possibility of using expired Febuxostat, a drug mainly used to treat gout, as a corrosion inhibitor for steel in solutions containing Hydrochloric acid (HCl), which is an unusual but potentially successful approach. The goal of this research is to recycle pharmaceutical waste for useful purposes while also meeting the requirement for sustainable and economical corrosion mitigation techniques. The study includes various analytical techniques, like SEM, weight loss, electrochemical techniques, and density functional theory (DFT) to evaluate the efficacy of expired febuxostat as a corrosion inhibitor for steel in 0.5 M HCl solution. The EIS and PDP curve results showed a direct correlation between the concentration of Febuxostat and the inhibition efficiency. The active center of the electrode surface is blocked by the drug molecules, which reduces the corrosion mechanism. The data from the Langmuir adsorption isotherm validates a physiochemical process. Moreover, SEM investigations show that steel has a smoother surface. The adsorption behavior of Febuxostat molecules on the steel surface is investigated, providing insight into the chemical mechanisms underlying the inhibitory effect.

Abstract Image

过期非布索坦药物作为钢在酸性介质中的有效缓蚀剂的应用:实验和理论研究
这项研究探讨了在含有盐酸(HCl)的溶液中使用过期非布索坦(一种主要用于治疗痛风的药物)作为钢材缓蚀剂的可能性,这是一种不同寻常但可能成功的方法。这项研究的目标是回收制药废料用于有用的目的,同时满足对可持续和经济的缓蚀技术的要求。研究采用了各种分析技术,如扫描电镜、失重、电化学技术和密度泛函理论(DFT),以评估过期非布索坦作为 0.5 M HCl 溶液中钢的缓蚀剂的功效。EIS 和 PDP 曲线结果表明,非布索坦的浓度与缓蚀效率直接相关。电极表面的活性中心被药物分子阻挡,从而降低了腐蚀机理。朗缪尔吸附等温线的数据验证了一种生化过程。此外,扫描电镜研究表明,钢的表面更加光滑。通过研究非布索坦分子在钢表面的吸附行为,可以深入了解抑制作用的化学机制。
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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来源期刊
Chemical Data Collections
Chemical Data Collections Chemistry-Chemistry (all)
CiteScore
6.10
自引率
0.00%
发文量
169
审稿时长
24 days
期刊介绍: Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.
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