Effectiveness of Mesoporous Silica Nanoparticles Functionalized with Benzoyl Chloride in pH-Responsive Anticorrosion Polymer Coatings

材料科学 腐蚀 纳米颗粒 化学工程 涂层 介孔二氧化硅 聚合物 苯甲酰氯 苯甲酸 缓蚀剂 纳米载体 介孔材料 核化学 有机化学 复合材料 化学 催化作用 纳米技术 工程类
作者
Federico Olivieri,Fabio Scherillo,Rachele Castaldo,Mariacristina Cocca,Antonino Squillace,Gennaro Gentile,Marino Lavorgna
出处
期刊:ACS applied polymer materials [American Chemical Society]
卷期号:5 (8): 5917-5925 被引量:21
标识
DOI:10.1021/acsapm.3c00585
摘要

Smart polymer coatings embedding stimuli-responsive corrosion inhibitor nanocarriers are commonly exploited, in the literature, for the development of high-performance active coatings. In this work, high-surface-area amino-functionalized mesoporous silica nanoparticles (MSN-NH2) were developed with a one-step synthesis process and then functionalized with benzoyl chloride (MSN-BC) through a reaction with amino groups. MSN-BC are able to release benzoic acid (BA) in acid and alkaline conditions as a result of the hydrolysis of the pH-sensitive amide bond. MSN-BC were embedded in polymer coatings to exploit the pH-dependent release of corrosion-inhibiting BA. After an in-depth characterization of the developed functional nanoparticles and of their pH-dependent release kinetics of BA, MSN-BC were embedded in an acrylic matrix, realizing coatings for the corrosion protection of aluminum AA2024 alloys. Results demonstrate the effectiveness of the nanoparticles' porous structure for a high loading of the anticorrosive active agent BA and the long-lasting efficiency of the coating for the corrosion protection of aluminum alloys, as validated by morphological and electrochemical impedance spectroscopy (EIS) measurements. EIS experiments were carried out with up to 21 days of exposure to a corrosive environment, revealing the potentialities of the acrylic coatings embedding MSN-BC for the protection of aluminum alloys.
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
1秒前
necos发布了新的文献求助10
1秒前
1秒前
幸福妙柏发布了新的文献求助20
1秒前
泽ze关注了科研通微信公众号
1秒前
1秒前
年过半摆应助kelonyzy采纳,获得10
2秒前
hqhbj77完成签到,获得积分10
2秒前
wwww完成签到,获得积分10
2秒前
orixero应助追寻的山晴采纳,获得10
3秒前
wahaha发布了新的文献求助10
3秒前
Bolag发布了新的文献求助20
3秒前
2052669099应助annan采纳,获得10
4秒前
辛勤含羞草完成签到,获得积分10
4秒前
4秒前
seam发布了新的文献求助10
5秒前
5秒前
袁科研完成签到,获得积分10
5秒前
NexusExplorer应助HaoyangP采纳,获得10
5秒前
CLOWNSUYU发布了新的文献求助10
6秒前
复蓝发布了新的文献求助10
6秒前
feather发布了新的文献求助10
6秒前
6秒前
6秒前
乐空思应助xuan采纳,获得30
7秒前
7秒前
田様应助牛牛采纳,获得10
7秒前
科目三应助huanger采纳,获得10
8秒前
necos完成签到,获得积分10
8秒前
张明发布了新的文献求助10
8秒前
YYQX发布了新的文献求助10
8秒前
黄少侠完成签到,获得积分10
8秒前
在水一方应助wenht采纳,获得10
9秒前
9秒前
彭冬华发布了新的文献求助30
9秒前
一口吃不夏完成签到,获得积分10
9秒前
lauzkit发布了新的文献求助10
9秒前
燕燕于飞发布了新的文献求助10
9秒前
9秒前
10秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6478537
求助须知:如何正确求助?哪些是违规求助? 8279987
关于积分的说明 17659491
捐赠科研通 5560908
什么是DOI,文献DOI怎么找? 2911103
邀请新用户注册赠送积分活动 1888090
关于科研通互助平台的介绍 1741942