Durable Superhydrophobic Surfaces with Self‐Generated Wenzel Sites for Efficient Fog Collection

纳米技术 涂层 硅酮 基质(水族馆) 超疏水涂料 材料科学 单层 单宁酸 化学工程 复合材料 化学 有机化学 地质学 工程类 海洋学
作者
Jiaren Zhang,Bucheng Li,Zhengqiang Zhou,Junping Zhang
出处
期刊:Small [Wiley]
卷期号:20 (30) 被引量:5
标识
DOI:10.1002/smll.202312112
摘要

Abstract Harvesting freshwater from fog is one of the possible solutions to the global water scarcity crisis. Surfaces with both hydrophobic and hydrophilic regions are extensively employed for this purpose. Nevertheless, the longevity of these surfaces is still constrained by their delicate surface structures. The hydrophilic zones may become damaged or contaminated after repeated use, thereby compromising their effectiveness in fog collection. The preparation of generally applicable durable superhydrophobic coatings with self‐generated Wenzel sites is reported here for long‐term efficient and stable fog collection. The coatings are prepared by depositing the poly(tannic acid) coating as the primer layer on various substrates, self‐assembly of trichlorovinylsilane into staggered silicone nanofilaments, and then thiol–ene click reaction with 1 H ,1 H ,2 H ,2 H ‐perfluorodecanethiol. The coatings demonstrate remarkable static superhydrophobicity, robust impalement resistance, and stable self‐generated Wenzel sites for water droplets. Therefore, the fog collection rate (FCR) of the coatings reaches 2.13 g cm −2 h −1 during 192 h continuous fog collection, which is triple that of bare substrate and outperforms most previous studies. Moreover, the systematic experiments and models have revealed that the key factors for achieving high FCR on superhydrophobic coatings are forming condensed droplets ≈1 mm in critical radius and a Wenzel site proportion of 0.3–0.4.
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
2秒前
饭饭发布了新的文献求助10
4秒前
liynn1发布了新的文献求助10
9秒前
受伤的小松鼠应助RiKy采纳,获得10
9秒前
10秒前
66m37发布了新的文献求助20
11秒前
14秒前
大胆十三发布了新的文献求助30
15秒前
chen完成签到,获得积分10
18秒前
Nnn发布了新的文献求助10
19秒前
YYJ发布了新的文献求助10
19秒前
liynn1完成签到,获得积分10
20秒前
晓晓晓完成签到,获得积分10
20秒前
20秒前
科通研AI发布了新的文献求助10
21秒前
科研通AI5应助qq采纳,获得10
22秒前
24秒前
25秒前
25秒前
27秒前
27秒前
27秒前
www152完成签到,获得积分10
28秒前
午午午午完成签到 ,获得积分10
28秒前
bkagyin应助wang采纳,获得10
29秒前
ww发布了新的文献求助10
29秒前
29秒前
29秒前
30秒前
吴小白发布了新的文献求助30
30秒前
孙铭逊发布了新的文献求助10
31秒前
林狗发布了新的文献求助10
31秒前
安详夏彤发布了新的文献求助10
31秒前
宝川发布了新的文献求助10
32秒前
科研通AI5应助Bruce采纳,获得10
32秒前
润润润发布了新的文献求助10
34秒前
小唐完成签到,获得积分10
34秒前
34秒前
34秒前
高分求助中
Algorithmic Mathematics in Machine Learning 500
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 400
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
The Monocyte-to-HDL ratio (MHR) as a prognostic and diagnostic biomarker in Acute Ischemic Stroke: A systematic review with meta-analysis (P9-14.010) 240
Pleistocene Mammals of North America 200
The Rice Blast Fungus and Allied Species: A Monograph of the Fungal Order Magnaporthales 200
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3832761
求助须知:如何正确求助?哪些是违规求助? 3375209
关于积分的说明 10487973
捐赠科研通 3094818
什么是DOI,文献DOI怎么找? 1703996
邀请新用户注册赠送积分活动 819723
科研通“疑难数据库(出版商)”最低求助积分说明 771623