Growth of Double-Network Tough Hydrogel Coatings by Surface-Initiated Polymerization

材料科学 聚合 纳米技术 复合材料 化学工程 聚合物 工程类
作者
Yuhong Li,Junjie Liu,Qifang Zhang,Nan Hu,Zhouhu Jiang,Qianhua Kan,Guozheng Kang
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:16 (8): 10822-10831 被引量:28
标识
DOI:10.1021/acsami.4c00370
摘要

Hydrogel coatings exhibit versatile applications in biomedicine, flexible electronics, and environmental science. However, current coating methods encounter challenges in simultaneously achieving strong interfacial bonding, robust hydrogel coatings, and the ability to coat substrates with controlled thickness. This paper introduces a novel approach to grow a double-network (DN) tough hydrogel coating on various substrates. The process involves initial substrate modification using a silane coupling agent, followed by the deposition of an initiator layer on its surface. Subsequently, the substrate is immersed in a DN hydrogel precursor, where the coating grows under ultraviolet (UV) illumination. Precise control over the coating thickness is achieved by adjusting the UV illumination duration and the initiator quantity. The experimental measurement of adhesion reveals strong bonding between the DN hydrogel coating and diverse substrates, reaching up to 1012.9 J/m2 between the DN hydrogel coating and a glass substrate. The lubricity performance of the DN hydrogel coating is experimentally characterized, which is dependent on the coating thickness, applied pressure, and sliding velocity. The incorporation of 3D printing technology into the current coating method enables the creation of intricate hydrogel coating patterns on a flat substrate. Moreover, the hydrogel coating's versatility is demonstrated through its effective applications in oil-water separation and antifogging glasses, underscoring its wide-ranging potential. The robust DN hydrogel coating method presented here holds promise for advancing hydrogel applications across diverse fields.
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
风格完成签到,获得积分10
4秒前
科研小白完成签到,获得积分10
5秒前
白白不喽完成签到 ,获得积分10
6秒前
南瓜好吃完成签到 ,获得积分10
7秒前
叶上初阳完成签到 ,获得积分10
7秒前
shergirl完成签到 ,获得积分10
8秒前
长情以蓝完成签到 ,获得积分10
11秒前
魏凯源完成签到,获得积分10
12秒前
晨鸟完成签到,获得积分0
13秒前
石头完成签到 ,获得积分10
13秒前
14秒前
FashionBoy应助科研通管家采纳,获得10
14秒前
14秒前
鸟兽兽应助Yao采纳,获得10
14秒前
14秒前
桐桐应助科研通管家采纳,获得30
14秒前
CodeCraft应助科研通管家采纳,获得10
14秒前
SciGPT应助科研通管家采纳,获得10
14秒前
今后应助科研通管家采纳,获得10
15秒前
FashionBoy应助科研通管家采纳,获得10
15秒前
15秒前
17秒前
无私雅柏完成签到 ,获得积分10
18秒前
无私雅柏完成签到 ,获得积分10
18秒前
茶辞发布了新的文献求助10
18秒前
Jessie Li完成签到,获得积分10
21秒前
22秒前
李姐万岁发布了新的文献求助10
22秒前
23秒前
tiantian0518发布了新的文献求助10
24秒前
sususuper完成签到 ,获得积分10
25秒前
26秒前
Eton完成签到,获得积分10
27秒前
多边形完成签到 ,获得积分10
28秒前
精明玲完成签到 ,获得积分10
32秒前
34秒前
奕苼完成签到 ,获得积分10
35秒前
充电宝应助李姐万岁采纳,获得10
36秒前
庄冬丽完成签到,获得积分10
36秒前
栀蓝完成签到 ,获得积分10
37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
Applied Min-Max Approach to Missile Guidance and Control 5000
Metallurgy at high pressures and high temperatures 2000
Inorganic Chemistry Eighth Edition 1200
Anionic polymerization of acenaphthylene: identification of impurity species formed as by-products 1000
The Psychological Quest for Meaning 800
Signals, Systems, and Signal Processing 610
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 6325937
求助须知:如何正确求助?哪些是违规求助? 8142015
关于积分的说明 17071730
捐赠科研通 5378411
什么是DOI,文献DOI怎么找? 2854190
邀请新用户注册赠送积分活动 1831847
关于科研通互助平台的介绍 1683076