将 Erythrina Variegata Linn 用作钢在 0.5 M 硫酸中的绿色缓蚀剂

IF 2.218 Q2 Chemistry
Swagata Kalita, Jasdeep Kaur, Akhil Saxena
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引用次数: 0

摘要

本研究调查了 Erythrina Variegata Linn 叶提取物在 0.5 M H2SO4 溶液中对钢材的潜在防腐效果。在钢表面,萃取物形成了一层保护层,其最大抗腐蚀效率为 88.88%,这在 1000 mg/L 的浓度下尤为明显。为了验证其抑制腐蚀的潜力,研究人员使用了一系列分析方法,如紫外线、扫描电镜、植物化学筛选、电化学测量和量子化学研究。化学成分中双键和杂原子的存在是抑制腐蚀的原因。紫外线分析等仪器可以详细了解分子间的相互作用,有助于对缓蚀机理的理解。Erythrina Variegata Linn 的缓蚀能力随着浓度的增加而上升,直到 1000 ppm。根据量子化学计算,6-羟基染料木素的吸附能力高于异黄酮。这项研究确定了红景天叶提取物作为一种可持续的、对环境无害的钢铁腐蚀抑制剂在 0.5 M H2SO4 等恶劣环境中的潜在用途。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Use of Erythrina Variegata Linn as green corrosion inhibitor for steel in 0.5 M Sulphuric acid

Use of Erythrina Variegata Linn as green corrosion inhibitor for steel in 0.5 M Sulphuric acid

The potential anti-corrosion effect of Erythrina Variegata Linn leaf extract on steel in 0.5 M H2SO4 solution is investigated in this work. On the steel surface, the extract created a layer of protection, which showed maximal efficiency in resisting the corrosion at 88.88%, this was particularly evident at a 1000 mg/L concentration. To verify its potential to inhibit corrosion, a range of analytical methods were used, such as UV, SEM, phytochemical screening, electrochemical measurements, and quantum chemical investigations. The presence of double bonds and heteroatoms in the chemical constituent is responsible for inhibiting corrosion. Instrumentation such as UV analysis provides detailed insights into molecular interactions, aiding in the understanding of inhibitive mechanisms. The corrosion inhibition capacity rises up on increasing Erythrina Variegata Linn till 1000 ppm. Based upon quantum chemical calculations, 6‑hydroxy genistein has more adsorption capacity than Alpinum Isoflavone. This investigation determined the potential utility of Erythrina Variegata Linn leaf extract as a sustainable, environmentally benign inhibitor of steel corrosion in harsh environments like 0.5 M H2SO4.

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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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