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Aminobenzoic acid functionalized graphene oxide as environment-friendly corrosion inhibitors for Q235 steel in HCl solution: experimental and DFT studies
Anti-Corrosion Methods and Materials ( IF 2.3 ) Pub Date : 2021-06-07 , DOI: 10.1108/acmm-03-2021-2449
Baoguang Ma , Cheng Chen , Xiaojun Xie , Yanhui Chen , Qiuyu Zhang , Dong Lv , Zhenguo Liu

Purpose

The purpose of this study is to provide effective and environmental-friendly corrosion inhibitors derived from graphene oxide for Q235 steel.

Design/methodology/approach

Nontoxic and environment-friendly 4-aminobenzoic acid was used to functionalize graphene oxide via amidation and diazotization. The obtained amidation 4-aminobenzoic acid functionalized graphene oxide (PAGO) and diazotization 4-aminobenzoic acid functionalized graphene oxide (PDGO) were characterized by FTIR, Raman and TEM, while the inhibition efficiencies were analyzed by electrochemical impedance spectroscopy (EIS) and potentiodynamic polarization (PDP). Furthermore, theoretical inhibition efficiencies were investigated by density functional theory (DFT) approach.

Findings

At a concentration of 40 ppm, the maximum inhibition efficiency of PAGO and PDGO were 97.90% and 96.72% in EIS measurement, respectively, which were in accordance with PDP data. Moreover, experimental results were supported by DFT-based quantum chemical calculation.

Originality/value

Environmental-friendly PAGO and PDGO were synthesized successfully. The synthetic inhibitors exhibited excellent inhibition efficiencies in EIS and PDP measurements. Furthermore, a computational study using DFT supported the trend that PAGO was better inhibitor than PDGO.



中文翻译:

氨基苯甲酸官能化氧化石墨烯作为 Q235 钢在 HCl 溶液中的环保缓蚀剂:实验和 DFT 研究

目的

本研究的目的是为Q235钢提供有效且环保的氧化石墨烯缓蚀剂。

设计/方法/方法

无毒且环保的4-氨基苯甲酸用于通过酰胺化和重氮化功能化氧化石墨烯。所得酰胺化4-氨基苯甲酸官能化氧化石墨烯(PAGO)和重氮化4-氨基苯甲酸官能化氧化石墨烯(PDGO)通过FTIR、Raman和TEM进行表征,同时通过电化学阻抗谱(EIS)和动电位极化分析抑制效率(等离子)。此外,通过密度泛函理论(DFT)方法研究了理论抑制效率。

发现

在 40 ppm 的浓度下,PAGO 和 PDGO 在 EIS 测量中的最大抑制效率分别为 97.90% 和 96.72%,这与 PDP 数据一致。此外,实验结果得到了基于 DFT 的量子化学计算的支持。

原创性/价值

成功合成了环保型PAGO和PDGO。合成抑制剂在 EIS 和 PDP 测量中表现出优异的抑制效率。此外,使用 DFT 的计算研究支持 PAGO 是比 PDGO 更好的抑制剂的趋势。

更新日期:2021-06-30
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