Conductive Superhydrophobic Smart Coatings Based on Spherical Silver Nanoparticles and Waterborne Polyurethane for Flexible and Wearable Electronics

材料科学 涂层 导电体 柔性电子器件 纳米技术 聚氨酯 复合材料 磨损(机械) 复合数 纳米颗粒 生物污染 遗传学 生物
作者
Huihui Gao,Yijun Liao,Yiyang Wang,Yiyang Wang,Jian Zhu,Ping Liu,Rui Ding,De‐Ming Guo,Fang Wang,Fei Song,Yu-Zhong Wang,Yu-Zhong Wang
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:16 (47): 65553-65564 被引量:23
标识
DOI:10.1021/acsami.4c14681
摘要

The development of flexible smart conductive fabrics is crucial for applications in smart healthcare and signal transmission during hazardous rescue operations. However, environmental challenges such as moisture, dirt, mechanical abrasion, and bacteria can significantly impair their electronic performance. Herein, we introduce a novel two-layered coating strategy that integrates silver nanoparticles (Ag NPs) and modified silica nanoparticles (QSi) with waterborne polyurethane (WPU) to develop multifunctional superhydrophobic conductive coatings. The inner composite layer, combining WPU with Ag NPs, guarantees high conductivity (5.22 S·cm-1) and mechanical durability. The outer shell layer, created by spraying a mixture of WPU and QSi, provides a robust superhydrophobic barrier, maintaining a water contact angle above 150° and resistance below 80 Ω even after 200 kneading cycles. Additionally, the coated fabric exhibits satisfactory self-cleaning, antifouling, low water adhesion (32.95 μN), drag reduction (supporting approximately 11 times its weight on water), and appreciable antibacterial activity (>99.99%), ensuring its long-term stability in harsh conditions. By integrating conductivity with superhydrophobicity, flexibility, and wearability, this smart fabric presents a promising strategy for precise underwater detection, such as monitoring swimming movements or finger bending, while also offering safety alert signals in challenging wet environments.
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
阿里小沛发布了新的文献求助10
1秒前
裔振飞完成签到,获得积分10
1秒前
cdercder应助云杉木采纳,获得10
2秒前
杨帆完成签到,获得积分10
3秒前
YixiaoWang完成签到,获得积分10
3秒前
科研通AI6.2应助小晶豆采纳,获得10
3秒前
缓慢听安发布了新的文献求助10
3秒前
AMLYB666发布了新的文献求助10
4秒前
4秒前
hhhh完成签到,获得积分20
4秒前
5秒前
wing发布了新的文献求助10
5秒前
6秒前
7秒前
科研狗发布了新的文献求助10
8秒前
qyang发布了新的文献求助10
8秒前
9秒前
9秒前
9秒前
腼腆的初蓝完成签到,获得积分10
9秒前
彭于晏应助科研通管家采纳,获得10
9秒前
领导范儿应助科研通管家采纳,获得10
9秒前
JamesPei应助科研通管家采纳,获得10
9秒前
9秒前
cdercder应助科研通管家采纳,获得20
10秒前
10秒前
共享精神应助科研通管家采纳,获得30
10秒前
NexusExplorer应助科研通管家采纳,获得10
10秒前
10秒前
10秒前
Owen应助科研通管家采纳,获得10
10秒前
10秒前
赘婿应助科研通管家采纳,获得10
10秒前
10秒前
搜集达人应助科研通管家采纳,获得10
10秒前
顾矜应助科研通管家采纳,获得10
10秒前
桐桐应助PATRICIAUA采纳,获得10
11秒前
酷波er应助科研通管家采纳,获得10
11秒前
11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
Cronologia da história de Macau 5000
Merrill's Atlas of Radiographic Positioning and Procedures - 3-Volume Set, 16th Edition 2000
Matrix Methods in Data Mining and Pattern Recognition 510
Interactions of Vowel Quality and Prosody in East Slavic 500
Vander's Renal Physiology第10版 500
Virus-like particles empower RNAi for effective control of a Coleopteran pest 400
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7074064
求助须知:如何正确求助?哪些是违规求助? 8734542
关于积分的说明 18484064
捐赠科研通 6610080
什么是DOI,文献DOI怎么找? 3129280
关于科研通互助平台的介绍 2227880
邀请新用户注册赠送积分活动 2104478