Bioinspired polydopamine nanosheets for the enhancement in anti-corrosion performance of water-borne epoxy coatings

材料科学 环氧树脂 涂层 腐蚀 纳米材料 介电谱 复合材料 电化学 化学工程 冶金 纳米技术 化学 电极 工程类 物理化学
作者
Mingjun Cui,Xinyu Chen,Shixiang Mei,Siming Ren
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:471: 144760-144760 被引量:78
标识
DOI:10.1016/j.cej.2023.144760
摘要

The utilization of two-dimensional (2D) inorganic nanomaterials as nanofillers in the anticorrosion fields has garnered significant attention due to their exceptional barrier properties. However, uniform dispersion of nanofillers and good interfacial compatibility with organic coatings still remain a substantial challenge. Consequently, there is a need to explore novel and eco-friendly 2D nanomaterials for anticorrosive applications. In this study, two-dimensional polydopamine nanosheets (PDANS) were synthesized through a facile template method, and incorporated into water-borne epoxy (WEP) coating as green anticorrosive additives. Compared to WEP coating, the prepared PDANS/WEP coatings exhibited significantly enhanced corrosion protection performance, with a nearly 50% reduction in water uptake and a 22-fold increase in the |Z|f=0.01 Hz value at a 0.5 wt% PDANS loading. These improvements can be attributed to the favorable interfacial compatibility between PDANS and WEP matrix, as well as the superior barrier properties of PDANS. Furthermore, local electrochemical impedance spectroscopy (LEIS) results demonstrated that the damaged PDANS/WEP coating provided enhanced corrosion protection by inhibiting steel corrosion through the chelating interaction between PDANS and steel, thereby reducing the coating delamination. Based on these findings, it can be inferred that PDANS hold great promise for the development of innovative anticorrosive coatings.
最长约 10秒,即可获得该文献文件

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
刚刚
刚刚
PGONE完成签到,获得积分10
2秒前
所所应助友好的小翠采纳,获得10
2秒前
4秒前
4秒前
5秒前
我是老大应助hi采纳,获得10
5秒前
6秒前
6秒前
meng发布了新的文献求助10
8秒前
Yilin应助hdnej采纳,获得10
10秒前
10秒前
丘比特应助啦啦啦采纳,获得10
10秒前
优雅听露发布了新的文献求助10
11秒前
怡然冰巧发布了新的文献求助10
11秒前
11秒前
张欢馨应助LYDZ2采纳,获得10
12秒前
张张发布了新的文献求助10
13秒前
星辰大海应助Hygge采纳,获得10
16秒前
@Zhang发布了新的文献求助10
17秒前
17秒前
17秒前
18秒前
cdercder应助阿涛采纳,获得10
18秒前
hahaaa完成签到,获得积分10
19秒前
追璇行完成签到,获得积分10
20秒前
JamesPei应助怡然冰巧采纳,获得10
20秒前
优雅听露完成签到 ,获得积分10
22秒前
周周发布了新的文献求助10
22秒前
研友_VZG7GZ应助唐唯一采纳,获得10
23秒前
23秒前
搞怪的苗条完成签到 ,获得积分10
24秒前
26秒前
30秒前
Eusha发布了新的文献求助10
30秒前
30秒前
风芄慕完成签到,获得积分10
30秒前
打打应助初景采纳,获得10
30秒前
30秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
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 7583868
求助须知:如何正确求助?哪些是违规求助? 9162575
关于积分的说明 19607381
捐赠科研通 7165802
什么是DOI,文献DOI怎么找? 3266349
关于科研通互助平台的介绍 2431242
邀请新用户注册赠送积分活动 2257819