{"title":"Use of Erythrina Variegata Linn as green corrosion inhibitor for steel in 0.5 M Sulphuric acid","authors":"Swagata Kalita, Jasdeep Kaur, Akhil Saxena","doi":"10.1016/j.cdc.2024.101142","DOIUrl":null,"url":null,"abstract":"<div><p>The potential anti-corrosion effect of <em>Erythrina Variegata Linn</em> leaf extract on steel in 0.5 M H<sub>2</sub>SO<sub>4</sub> 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 <em>Erythrina Variegata Linn</em> 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 <em>Erythrina Variegata Linn</em> leaf extract as a sustainable, environmentally benign inhibitor of steel corrosion in harsh environments like 0.5 M H<sub>2</sub>SO<sub>4.</sub></p></div>","PeriodicalId":269,"journal":{"name":"Chemical Data Collections","volume":"51 ","pages":"Article 101142"},"PeriodicalIF":2.2180,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Data Collections","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405830024000302","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Chemistry","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.