Superhydrophobic conductive rubber band with synergistic dual conductive layer for wide-range sensitive strain sensor

材料科学 石墨烯 标度系数 导电体 复合材料 纳米技术 应变计 图层(电子) 碳纳米管 光电子学 制作 医学 病理 替代医学
作者
Hongling Sun,Yibing Bu,Hu Liu,Jingwen Wang,Wenke Yang,Qianming Li,Zhanhu Guo,Chuntai Liu,Changyu Shen
出处
期刊:Science Bulletin [Elsevier]
卷期号:67 (16): 1669-1678 被引量:154
标识
DOI:10.1016/j.scib.2022.07.020
摘要

Wearable electronic devices have received increasing interests because of their excellent flexibility, stretchability, and human friendliness. As the core components, flexible strain sensors integrated with wide working range, high sensitivity, and environment stability, especially in moisture or corrosive environments, remain a huge challenge. Herein, synergistic carbon nanotubes (CNTs)/reduced graphene oxide (rGO) dual conductive layer decorated elastic rubber band (RB) was successfully developed and treated with hydrophobic fumed silica (Hf-SiO2) for preparing superhydrophobic strain sensor. As expected, stable entangled CNTs layer and ultrasensitive microcracked rGO layer endow the sensor with extremely low detection limit (0.1%), high sensitivity (gauge factor is 685.3 at 482% strain), wide workable strain range (0-482%), fast response/recovery (200 ms/200 ms) and favorable reliability and reproducibility over 1000 cycles. Besides, the constructed Hf-SiO2 coating also makes the sensor exhibit excellent superhydrophobicity, self-cleaning property, and corrosion-resistance. As a proof of concept, our prepared high-performance strain sensor can realize the full-range monitoring of human motions and physiological signals even in the water environment, including pulse, vocalization, joint bending, running, and gesture recognition. Interestingly, it can also be knitted into a tactile electronic textile for spatial pressure distribution measurement. Thus, this study provides a universal technique for the preparation of high-performance strain sensors with great potential applications in the field of next-generation intelligent wearable electronics.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
Zr完成签到,获得积分10
1秒前
脑洞疼应助宋博采纳,获得10
2秒前
Wang完成签到 ,获得积分10
6秒前
大个应助Hou采纳,获得10
7秒前
爆米花应助乔心采纳,获得10
9秒前
Ava应助心杨采纳,获得10
11秒前
大模型应助嘉嘉琦采纳,获得10
12秒前
13秒前
思源应助科研通管家采纳,获得20
14秒前
修仙应助科研通管家采纳,获得10
14秒前
小蘑菇应助科研通管家采纳,获得10
14秒前
科研通AI2S应助科研通管家采纳,获得10
14秒前
Someone应助科研通管家采纳,获得10
14秒前
华仔应助科研通管家采纳,获得10
15秒前
科研通AI2S应助科研通管家采纳,获得10
15秒前
桐桐应助科研通管家采纳,获得10
15秒前
顾矜应助科研通管家采纳,获得10
15秒前
15秒前
顾矜应助科研通管家采纳,获得10
15秒前
CodeCraft应助要上岸采纳,获得10
16秒前
16秒前
乐观又lucky完成签到,获得积分10
18秒前
18秒前
于士完成签到,获得积分10
19秒前
月光完成签到,获得积分10
21秒前
于士发布了新的文献求助10
22秒前
千颂七完成签到,获得积分10
24秒前
陈陈完成签到 ,获得积分10
24秒前
24秒前
24秒前
25秒前
千颂七发布了新的文献求助10
27秒前
27秒前
28秒前
28秒前
NAMU完成签到,获得积分20
29秒前
嘉嘉琦发布了新的文献求助10
30秒前
要上岸发布了新的文献求助10
30秒前
了又柳完成签到,获得积分10
33秒前
33秒前
高分求助中
Evolution 10000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 600
Distribution Dependent Stochastic Differential Equations 500
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3157455
求助须知:如何正确求助?哪些是违规求助? 2808877
关于积分的说明 7878686
捐赠科研通 2467233
什么是DOI,文献DOI怎么找? 1313279
科研通“疑难数据库(出版商)”最低求助积分说明 630380
版权声明 601919