青蒿甲醇提取物作为铜在 0.5 M 硝酸中的绿色缓蚀剂

IF 2.218 Q2 Chemistry

Chemical Data Collections Pub Date : 2024-09-18 DOI:10.1016/j.cdc.2024.101163

S. Echihi , N. Benzbiria , A. Thoume , M. Boudalia , A. Bellaouchou , M. Zertoubi , I. Warad , M. Tabyaoui , A. Zarrouk

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引用次数: 0

摘要

这项工作旨在研究青蒿甲醇提取物（MEA）对 0.5 M HNO3 中铜缓蚀作用的影响。该研究介绍了一种使用 MEA 在硝酸中抑制铜腐蚀的新方法，它具有生态友好、可生物降解和可持续的特性。这符合现代环境和社会关注的问题。在这种情况下，实验方法被用来研究 MEA 的抑制作用。根据电位极化（PDP）、电化学阻抗光谱（EIS）和失重测量（WL），抑制效力（IE %）的增加取决于 MEA 浓度的增加。在百万分之 550（MEA）的条件下，抑制率最高可达 94%，但随着温度的升高，抑制率有所下降。MEA 的作用是由于其在铜表面的吸附作用遵循了 Langmuir 等温线。扫描电子显微镜分析表明，添加 MEA 后，铜表面形态有了明显改善，接触角 (CA) 测量结果表明，铜表面具有疏水特性。紫外可见光和溶液分析技术表明，保护层的形成可减轻铜的溶解，并阻止侵蚀性离子进入铜表面。

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Methanolic extract of artemisia as a green corrosion inhibitor for copper in 0.5 M nitric acid

This work aims at studying the influence of Methanolic Extract of Artemisia (MEA) on copper corrosion inhibition in 0.5 M HNO₃. The study introduces a novel approach to copper corrosion inhibition in nitric acid using MEA, offering an eco-friendly, biodegradable and sustainable attributes. This aligns with modern environmental and societal concerns. In this context, experimental methods were exploited to investigate the inhibitive action of MEA. According to Potentiodynamic polarization (PDP), Electrochemical Impedance Spectroscopy (EIS) and Weight Loss measurements (WL), the increment of the inhibition efficacy (IE %) depends on the increase of MEA concentration. A maximum of 94 % was obtained in the presence of 550 ppm (MEA), which showed a decrement as temperature increased. The action of MEA was attributed to its adsorption on copper surface following Langmuir isotherm. SEM analysis showed a significant improvement in Cu surface morphology, which had a hydrophobic character after MEA addition as indicated by contact angle (CA) measurements. UV–Vis and solution analysis techniques highlighted the development of a protective layer that mitigated copper dissolution and hindered the access of aggressive ions to copper.

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来源期刊

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.