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
刚刚
无花果应助xzh采纳,获得10
1秒前
Hello应助王檬采纳,获得10
1秒前
hha完成签到,获得积分10
1秒前
1秒前
fuchao发布了新的文献求助10
1秒前
shirley发布了新的文献求助10
1秒前
科目三应助WYT采纳,获得10
2秒前
2秒前
哈哈哈哈应助zx采纳,获得10
2秒前
李健应助卡夫卡的熊采纳,获得10
2秒前
乐空思举报zz求助涉嫌违规
3秒前
星鑫完成签到,获得积分10
3秒前
3秒前
ikejay发布了新的文献求助10
4秒前
ggg完成签到,获得积分10
4秒前
minmi发布了新的文献求助20
5秒前
wen完成签到,获得积分10
5秒前
呼啦啦发布了新的文献求助10
6秒前
江念完成签到,获得积分20
6秒前
Lilian应助开心超人采纳,获得20
6秒前
hjkluo发布了新的文献求助10
6秒前
量子星尘发布了新的文献求助10
7秒前
李斯濛发布了新的文献求助10
7秒前
小马甲应助Rocky采纳,获得10
8秒前
8秒前
9秒前
阿王完成签到,获得积分10
9秒前
轻松幼南完成签到 ,获得积分10
10秒前
10秒前
Lucas应助zhizhi采纳,获得10
10秒前
11秒前
小木棉完成签到,获得积分10
11秒前
李健的小迷弟应助Ysk采纳,获得10
11秒前
无语的断缘完成签到,获得积分10
11秒前
11秒前
Jasper应助zhou采纳,获得10
11秒前
无限傲旋完成签到,获得积分20
13秒前
14秒前
111发布了新的文献求助10
14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
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Russian Politics Today: Stability and Fragility (2nd Edition) 500
Death Without End: Korea and the Thanatographics of War 500
Der Gleislage auf der Spur 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6083352
求助须知:如何正确求助?哪些是违规求助? 7913580
关于积分的说明 16368490
捐赠科研通 5218448
什么是DOI,文献DOI怎么找? 2789925
邀请新用户注册赠送积分活动 1772906
关于科研通互助平台的介绍 1649333