Corrosion resistance and inhibition behavior of AA6063 in acidic chloride medium: A study using amoxicillin and Griseofulvin

IF 2.218 Q2 Chemistry Chemical Data Collections Pub Date : 2024-11-16 DOI:10.1016/j.cdc.2024.101173
Joshua O. Atiba , Ojo S.I. Fayomi
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Abstract

This study assesses the ability of Griseofulvin and Amoxicillin, two expired medicinal medications, to suppress corrosion on AA6063 aluminium alloy in a 1 M HCl environment. Aluminium alloys, such as AA6063, are prone to corrosion, especially when exposed to acidic environments and chloride ions. The electrochemical behaviour of AA6063 was evaluated at different temperatures (30 °C, 40 °C, 50 °C, and 60 °C) and concentrations (0.2 g, 0.4 g, and 0.6 g for Amoxicillin; 0.2 ml, 0.4 ml, and 0.6 ml for Griseofulvin) using potentiodynamic polarisation. The inhibitory mechanism was investigated using adsorption isotherms. The results show that both drugs successfully slow down the rate of corrosion, with griseofulvin working better at lower dosages. At higher temperatures, however, the efficacy of inhibition reduced, indicating a physisorption mechanism.
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AA6063 在酸性氯化物介质中的抗腐蚀性和抑制行为:使用阿莫西林和格列齐特的研究
本研究评估了 Griseofulvin 和 Amoxicillin(两种过期药物)在 1 M HCl 环境中抑制 AA6063 铝合金腐蚀的能力。AA6063 等铝合金容易腐蚀,尤其是在暴露于酸性环境和氯离子时。在不同温度(30 °C、40 °C、50 °C、60 °C)和浓度(阿莫西林 0.2 克、0.4 克、0.6 克;鬼臼毒素 0.2 毫升、0.4 毫升、0.6 毫升)下,使用电位极化对 AA6063 的电化学行为进行了评估。利用吸附等温线研究了抑制机制。结果表明,这两种药物都能成功地减缓腐蚀速度,其中 Griseofulvin 在低剂量时效果更好。然而,在较高温度下,抑制效果降低,这表明存在物理吸附机制。
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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