Boosting the corrosion inhibition efficiency of the Clerodendrum serratum extract for steel in the presence of KCl

IF 2.218 Q2 Chemistry Chemical Data Collections Pub Date : 2024-06-14 DOI:10.1016/j.cdc.2024.101148

Anusuya Dutta, Jasdeep Kaur, Akhil Saxena

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Abstract

The impact of an extract from the Clerodendrum serratum plant on steel corrosion in a sulfuric acid solution was examined using weight loss analysis and electrochemical impedance spectroscopy (EIS). This research delves into the synergistic corrosion inhibition efficiency of Clerodendrum serratum in the presence of KCl. This extract contains Apigenin, Hispidulin, 7- hydroxyflavanone, Oleanolic acid, β-sitosterol, Campesterol, Stigmasterol, Ursolic acid, Serratin, Spinasterol, Queretaroic acid etc. The anti-corrosive properties of this extract are primarily attributed to the presence of numerous bonds and heteroatoms in its phytochemical composition. Instrumentation such as UV analysis provides detailed insights into molecular interactions, aiding in the understanding of inhibitive mechanisms. The effectiveness of corrosion inhibition improves as the concentration of plant extract is raised up to 3000 ppm. Utilizing Potentiodynamic polarization (PDP) examination, achieving 88.6 % efficiency without KCl and 93.05 % in the presence of KCl demonstrates a comprehensive approach for improving protective characteristics in practical applications.

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在氯化钾条件下提高红花檵木提取物对钢铁的缓蚀效率

研究人员利用失重分析和电化学阻抗光谱（EIS）技术，考察了蛇床子提取物对硫酸溶液中钢铁腐蚀的影响。这项研究深入探讨了蛇床子在氯化钾存在下的协同缓蚀效率。该提取物含有芹菜素、糙皮素、7-羟基黄烷酮、齐墩果酸、β-谷甾醇、坎佩甾醇、豆甾醇、熊果酸、山梨醇、刺五加醇、藜芦酸等。这种提取物的防腐特性主要归因于其植物化学成分中存在大量的键和杂原子。紫外线分析等仪器可以详细了解分子间的相互作用，有助于对抑制机理的理解。当植物提取物的浓度提高到 3000 ppm 时，缓蚀效果就会提高。利用电位动力极化（PDP）检查，在不含氯化钾的情况下，效率达到 88.6%，而在含有氯化钾的情况下，效率达到 93.05%，这表明在实际应用中，有一种全面的方法可以提高保护特性。

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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.