Corrosion mitigation of (E)-N-benzylidene-4-nitrobenzenamine on mild steel in acidic medium: Experimental and Theoretical Analysis

IF 2.218 Q2 Chemistry Chemical Data Collections Pub Date : 2024-05-14 DOI:10.1016/j.cdc.2024.101143
Ragini L. Minagalavar , S.K. Rajappa , Manohar R. Rathod , Ashok M. Sajjan
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Abstract

The current study focuses on investigating the corrosion-inhibitory characteristics of the Schiff base (E)-N-benzylidene-4-nitrobenzenamine. The efficacy of the compound in preventing mild steel (MS) corrosion in a 1 M HCl solution was assessed using mass loss, potentiodynamic polarization, and electrochemical impedance spectroscopy techniques (EIS). In addition, measurements of polarization resistance suggested that the substance functions as a mixed-type inhibitor, primarily functioning as a cathodic inhibitor. EIS revealed that the compound impedes corrosion by increasing the charge transfer resistance at the interfaces between the metal and solution. The (E)-N-benzylidene-4-nitrobenzenamine compound conformed to the Langmuir adsorption isotherm. Additional confirmation of the development of a protective layer on MS surfaces was established through examinations using SEM (Scanning Electron Microscopy), and AFM (Atomic Force Microscopy). DFT (Density Functional Theory) studies and MD simulations were utilized to augment comprehension of corrosion inhibition mechanisms and adsorption characteristics.

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酸性介质中(E)-N-亚苄基-4-硝基苯胺对低碳钢的腐蚀缓解作用:实验和理论分析
目前的研究重点是调查希夫碱 (E)-N-benzylidene-4-nitrobenzenamine 的腐蚀抑制特性。使用质量损失、电位极化和电化学阻抗光谱技术(EIS)评估了该化合物在 1 M HCl 溶液中防止低碳钢(MS)腐蚀的功效。此外,极化电阻的测量结果表明,该物质是一种混合型抑制剂,主要起阴极抑制作用。EIS 显示,该化合物通过增加金属和溶液界面的电荷转移电阻来阻碍腐蚀。(E)-N-亚苄基-4-硝基苯胺化合物符合朗缪尔吸附等温线。通过使用 SEM(扫描电子显微镜)和 AFM(原子力显微镜)进行检测,进一步证实了在 MS 表面形成了保护层。还利用密度泛函理论(DFT)研究和 MD 模拟来加深对腐蚀抑制机制和吸附特性的理解。
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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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