A Review of Smart Superwetting Surfaces Based on Shape‐Memory Micro/Nanostructures

润湿 纳米技术 材料科学 智能材料 超亲水性 纳米结构 微观结构 智能聚合物 聚合物 复合材料
作者
Xue Bai,Xiaodan Gou,Jialiang Zhang,Jie Liang,Lijing Yang,Shaopeng Wang,Xun Hou,Feng Chen
出处
期刊:Small [Wiley]
卷期号:19 (15): e2206463-e2206463 被引量:75
标识
DOI:10.1002/smll.202206463
摘要

Bioinspired smart superwetting surfaces with special wettability have aroused great attention from fundamental research to technological applications including self-cleaning, oil-water separation, anti-icing/corrosion/fogging, drag reduction, cell engineering, liquid manipulation, and so on. However, most of the reported smart superwetting surfaces switch their wettability by reversibly changing surface chemistry rather than surface microstructure. Compared with surface chemistry, the regulation of surface microstructure is more difficult and can bring novel functions to the surfaces. As a kind of stimulus-responsive material, shape-memory polymer (SMP) has become an excellent candidate for preparing smart superwetting surfaces owing to its unique shape transformation property. This review systematically summarizes the recent progress of smart superwetting SMP surfaces including fabrication methods, smart superwetting phenomena, and related application fields. The smart superwettabilities, such as superhydrophobicity/superomniphobicity with tunable adhesion, reversible switching between superhydrophobicity and superhydrophilicity, switchable isotropic/anisotropic wetting, slippery surface with tunable wettability, and underwater superaerophobicity/superoleophobicity with tunable adhesion, can be obtained on SMP micro/nanostructures by regulating the surface morphology. Finally, the challenges and future prospects of smart superwetting SMP surfaces are discussed.
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
Micale完成签到,获得积分10
刚刚
刚刚
受伤毛豆完成签到,获得积分10
1秒前
1秒前
1秒前
娃娃菜妮完成签到 ,获得积分10
2秒前
2秒前
小洋完成签到,获得积分10
2秒前
2秒前
3秒前
请输入昵称完成签到 ,获得积分10
3秒前
李爱国应助虞访云采纳,获得10
3秒前
3秒前
3秒前
李健的小迷弟应助PPH采纳,获得10
4秒前
4秒前
脑洞疼应助znfeng采纳,获得10
4秒前
云舒完成签到,获得积分10
4秒前
4秒前
JR-@发布了新的文献求助10
4秒前
霸气立诚完成签到,获得积分10
5秒前
5秒前
TianY天翊发布了新的文献求助10
6秒前
7秒前
7秒前
我是老大应助andi采纳,获得10
8秒前
8秒前
在水一方应助zhuxf采纳,获得10
8秒前
8秒前
呦呦又鹿发布了新的文献求助10
8秒前
ruirchen完成签到,获得积分10
9秒前
科研小白发布了新的文献求助10
9秒前
9秒前
阳光忆寒发布了新的文献求助10
9秒前
Loris完成签到,获得积分10
9秒前
耶耶发布了新的文献求助10
10秒前
10秒前
10秒前
CQZXY完成签到,获得积分20
10秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Burger's Medicinal Chemistry and Drug Discovery 400
A Step-by-Step Guide to Qualitative Data Coding 2nd Edition 400
Impact of Storage Orientation and Duration on Prefilled Syringe Performance: Break-Loose and Glide Forces, and Injection Time Across Multiple Time Points 360
Programming for Chemical Engineers Using C, C++, and MATLAB 300
Upland Kenya wild flowers and ferns: a flora of the flowers, ferns, grasses, and sedges of highland Kenya 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 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 6667720
求助须知:如何正确求助?哪些是违规求助? 8417112
关于积分的说明 17992954
捐赠科研通 5875525
什么是DOI,文献DOI怎么找? 2976630
邀请新用户注册赠送积分活动 1952555
关于科研通互助平台的介绍 1880202