Unraveling the Structure-Property Relationship of Pyrimidine-Derivatives as CO2 Corrosion Inhibitors: Experimental and Periodic DFT Investigations

嘧啶 财产(哲学) 腐蚀 计算化学 化学 材料科学 立体化学 冶金 哲学 认识论
作者
Nuha Wazzan,I.B. Obot
出处
期刊:Journal of environmental chemical engineering [Elsevier BV]
卷期号:: 112206-112206
标识
DOI:10.1016/j.jece.2024.112206
摘要

CO2-containing environments commonly cause corrosion of carbon steel (CS) pipelines used in the oil and gas industry. In this work, the inhibition of corrosion by three derivatives of pyrimidine, namely 2-mercaptopyrimidine (MPY), 4-hydroxy-2-mercapto-6-methylpyrimidine (HMMP), and 4,5-Diamino-2,6-dimercaptopyrimidine (DDMP) for C1018 CS in CO2 saturated 3.5% NaCl brine was investigated. The corrosion rates and inhibition efficiency were investigated at 25 and 70 oC using open circuit potential, linear polarization resistance, potentiodynamic polarization and electrochemical impedance measurements. The post-immersion surface characterization of the exposed C1018 CS with and without the three molecules was carried out using SEM and 3D surface optical profilometer. Theoretical computation using DFT was further utilized to examine the role of the molecular structures and the mechanism of inhibition of the three molecules on steel surface at the atomic level. The experimental results indicate the following order of inhibition efficiency: MPY > DDMP > HMMP. Our experimental work proved that MPY molecule (the smaller one with the least number of heteroatoms) as the most efficient corrosion inhibitor. Surface characterization analysis confirmed the order of inhibition efficiency. The theoretical results revealed that the stability of molecules adsorbed on Fe (110) surface in the parallel orientation and on FeCO3 (104) is identical on both surfaces, which is completely consistent with the experiment. Our study provides a feasible strategy for developing new corrosion inhibitors by understanding how similar organic inhibitors work.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
唠叨的从凝应助light采纳,获得10
刚刚
开心祯祯完成签到,获得积分10
刚刚
Su完成签到 ,获得积分10
刚刚
平凡完成签到,获得积分0
刚刚
学术文献互助应助曹健采纳,获得100
刚刚
yls123发布了新的文献求助10
1秒前
1秒前
乐乐应助二等饼干采纳,获得10
2秒前
Jasper应助二等饼干采纳,获得10
2秒前
小马甲应助二等饼干采纳,获得10
2秒前
大个应助二等饼干采纳,获得10
2秒前
端庄的萝完成签到,获得积分10
2秒前
小徐801完成签到,获得积分10
2秒前
weqhdgjfk完成签到,获得积分10
4秒前
lf完成签到,获得积分10
4秒前
4秒前
4秒前
科研通AI6.2应助安详怜蕾采纳,获得10
5秒前
sss完成签到,获得积分10
5秒前
6秒前
6秒前
西瓜完成签到,获得积分10
7秒前
Chuwei完成签到,获得积分10
7秒前
小马甲应助白色的明镜采纳,获得10
8秒前
10秒前
11秒前
11秒前
11秒前
无私的亦巧完成签到,获得积分10
11秒前
小二郎应助1104481279采纳,获得30
12秒前
13秒前
Starry发布了新的文献求助10
13秒前
14秒前
哆啦做梦应助简单酒窝采纳,获得10
14秒前
可爱冰绿完成签到,获得积分10
14秒前
chen发布了新的文献求助10
14秒前
安安完成签到,获得积分20
15秒前
15秒前
谦让的亮发布了新的文献求助10
15秒前
酷波er应助红李子采纳,获得10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) Fourth Edition 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7586890
求助须知:如何正确求助?哪些是违规求助? 9165183
关于积分的说明 19614880
捐赠科研通 7167264
什么是DOI,文献DOI怎么找? 3266742
关于科研通互助平台的介绍 2431714
邀请新用户注册赠送积分活动 2258571