Sara Rached, Amar Habsaoui, Khaoula Mzioud, Redouane Lachhab, Sara Haida, Nordine Errahmany, Mouhsine Galai, Mohamed Ebn Touhami
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引用次数: 0
Abstract
The following study explores the potential use of Marrubium vulgare L. essential oil as a plant-based anticorrosion agent against copper in 0.5 M H2SO4. Through electrochemical experiments, the oil significantly reduces copper deterioration in this sulfurous atmosphere. Based on of potentiodynamic polarization curves, Marrubium vulgare L. has a 95.51 % efficiency in preventing corrosion at a concentration of 1 g/l oil. An appropriate electrical circuit model is employed to calculate electrochemical impedance characteristics. The Surface investigation (SEM/EDX) identifies a protective layer on the copper substrate, significantly blocking active copper corrosion sites.
下面的研究探讨了在0.5 M H2SO4中，凡士林精油作为植物基抗铜腐蚀剂的潜在用途。通过电化学实验，该油显著减少了铜在这种含硫气氛中的变质。根据动电位极化曲线，在1 g/l油浓度下，普通Marrubium的防腐效率为95.51%。采用合适的电路模型计算电化学阻抗特性。表面调查(SEM/EDX)在铜基板上发现了一层保护层，有效地阻断了活性铜腐蚀部位。
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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