Biological Hair-Inspired AgNWs@Au-Embedded Nafion Electrodes with High Stability for Self-Powered Ionic Flexible Sensors

材料科学 电极 Nafion公司 图层(电子) 导电体 复合材料 腐蚀 离子键合 粘附 纳米技术 光电子学 电化学 离子 化学 物理 物理化学 量子力学
作者
Chun Zhao,Yanjie Wang,Gangqiang Tang,Yujun Ji,Xin Zhao,Dong Mei,Jie Ru,Longfei Chang,Bo Li,Denglin Zhu,Lijie Li
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:14 (40): 46023-46031 被引量:15
标识
DOI:10.1021/acsami.2c11754
摘要

Ionic flexible sensors (IFS) usually consist of an ionomer matrix and two conductive electrodes, the failure of which mostly originates from interfacial debonding between matrix and electrode layers. To improve electrode's adhesion and impedance matching with matrix, polymer binder or plasmonic heating technology is used to enhance the adhesion of electrodes, but there are technical challenges such as high resistance and harsh conditions. Herein, inspired by biological hair, we proposed a reliable and facile method to form AgNWs@Au-embedded Nafion flexible electrodes (AN FEs) for IFS without rigorous temperature and harsh conditions. Through integrating the spraying and electrodepositing Au method, we achieved that the AgNWs are partly embedded in the matrix layer for forming the embedded layer, similar to the root of biological hair, which is used to fix the FEs and collect the ion charges. The other parts of AgNWs exposed on the surface form the conductive mesh layer for transmitting the signal, analogous to the tip of biological hair. Compared with other AgNWs FEs, AN FEs exhibit high adhesion (∼358 kPa) and low sheet resistance (∼ 3.7 Ω/□), and high stabilities after 100 washing cycles, 200 s H2O2 corrosion or 1500s HCl corrosion. A self-powered IFS prepared by AN FEs can achieve dual sensing of mechanical strain and ambient humidity and still has promising sensing performance after being exposed to air for 2 months, which further indicates potential applications of the prepared FEs in next-generation multifunctional flexible electronic devices.
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
1134发布了新的文献求助10
1秒前
棠真应助全能发文章采纳,获得10
1秒前
李昕123发布了新的文献求助10
2秒前
BENRONG发布了新的文献求助10
2秒前
酷炫橘子完成签到 ,获得积分10
2秒前
Junru完成签到,获得积分10
3秒前
SciGPT应助苏苏苏采纳,获得10
3秒前
5秒前
Fanny发布了新的文献求助10
5秒前
5秒前
txfxh发布了新的文献求助50
5秒前
leey完成签到,获得积分10
5秒前
禾耶完成签到,获得积分20
6秒前
6秒前
闫闫冰峰完成签到,获得积分10
7秒前
慧子完成签到,获得积分10
7秒前
8秒前
banfen发布了新的文献求助10
8秒前
9秒前
Jasper应助有点意思采纳,获得10
9秒前
10秒前
cass发布了新的文献求助10
10秒前
10秒前
Phyllis发布了新的文献求助10
11秒前
健壮丝袜发布了新的文献求助10
11秒前
无医完成签到,获得积分10
12秒前
13秒前
丘比特应助yutian928采纳,获得10
13秒前
请你吃折耳根完成签到,获得积分10
13秒前
青春发布了新的文献求助10
14秒前
无花果应助wjyxx采纳,获得10
16秒前
小葡萄完成签到,获得积分10
16秒前
苏苏苏发布了新的文献求助10
17秒前
老迟到的友菱应助花蕊采纳,获得10
18秒前
liumuyi发布了新的文献求助10
18秒前
txfxh完成签到,获得积分10
18秒前
jacksam完成签到,获得积分10
19秒前
孔乙己完成签到,获得积分10
19秒前
健壮丝袜完成签到,获得积分10
19秒前
高分求助中
Mass producing individuality 600
Algorithmic Mathematics in Machine Learning 500
Разработка метода ускоренного контроля качества электрохромных устройств 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 300
Resonance: A Sociology of Our Relationship to the World 200
Worked Bone, Antler, Ivory, and Keratinous Materials 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 3828237
求助须知:如何正确求助?哪些是违规求助? 3370531
关于积分的说明 10463853
捐赠科研通 3090467
什么是DOI,文献DOI怎么找? 1700451
邀请新用户注册赠送积分活动 817833
科研通“疑难数据库(出版商)”最低求助积分说明 770486