亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Skin‐Inspired High‐Performance E‐Skin With Interlocked Microridges for Intelligent Perception

材料科学 感知 纳米技术 神经科学 生物
作者
Yajie Zhang,Mingfu Qiu,Xinyu Zhang,Guoqiang Zheng,Kun Dai,Chuntai Liu,Changyu Shen
出处
期刊:Advanced Functional Materials [Wiley]
卷期号:35 (1) 被引量:17
标识
DOI:10.1002/adfm.202412065
摘要

Abstract Electronic skin is increasingly receiving tremendous attention for its potential applications in medical rehabilitation and human‐machine interaction. However, the trade‐off between detection range and sensitivity of e‐skin has not been well addressed, although various strategies have been proposed. Interlocked microridges between the epidermis and dermis can effectively transfer stress to mechanoreceptors, allowing human skin to exhibit excellent sensitivity even upon both subtle and large external stimuli. Herein, inspired by human skin, a novel bionic e‐skin is developed in which interlocked microridges are introduced between the sensitive layer and interdigitated electrode. Thanks to the interlocked microridges, excellent compression capability and remarkable change of contact area between sensitive layer and interdigitated electrode can be achieved and the e‐skin exhibits an ultrahigh sensitivity (≈1502.5 kPa −1 ), excellent durability (10 000 cycles), a short response time (10 ms) as well as a wide detection range (≈160 kPa). Moreover, due to the effective transmission of external stress from a sensitive layer to an interdigitated electrode, such bionic e‐skin has ability to detect a wide range of human vital signs and vibrations caused by sound waves. Such facile preparation of bionic interlocked microridges opens a new pathway to achieve high‐performance e‐skins and extend their application prospects in future wearable intelligent systems.
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
果汁橡皮糖完成签到,获得积分10
4秒前
完美世界应助欣欣采纳,获得30
6秒前
科研通AI6.2应助moiaoh采纳,获得10
6秒前
17秒前
18秒前
5555完成签到,获得积分10
21秒前
kexuezhongxinhu完成签到 ,获得积分10
22秒前
xiaoyu发布了新的文献求助10
23秒前
Clarence发布了新的文献求助10
29秒前
小蛇玩完成签到,获得积分10
30秒前
直率的笑翠完成签到 ,获得积分10
31秒前
33秒前
机灵的安南完成签到,获得积分10
34秒前
34秒前
36秒前
37秒前
38秒前
斯文败类应助lili采纳,获得30
38秒前
蟾宫折桂发布了新的文献求助10
41秒前
43秒前
糕冷草莓完成签到,获得积分10
45秒前
夜露发布了新的文献求助30
50秒前
脑洞疼应助xiaoyu采纳,获得10
57秒前
1分钟前
小蘑菇应助科研通管家采纳,获得10
1分钟前
桐桐应助科研通管家采纳,获得30
1分钟前
韦鑫龙完成签到,获得积分10
1分钟前
跳跃火车完成签到 ,获得积分20
1分钟前
bkagyin应助wurugu采纳,获得10
1分钟前
wanci应助机智的佳肴采纳,获得10
1分钟前
up325完成签到,获得积分10
1分钟前
1分钟前
冬晨1986完成签到,获得积分10
1分钟前
1分钟前
xiaoyu发布了新的文献求助10
1分钟前
雨寒完成签到 ,获得积分10
1分钟前
wurugu发布了新的文献求助10
1分钟前
凌凌完成签到 ,获得积分10
1分钟前
1分钟前
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
Kinesiophobia : a new view of chronic pain behavior 2000
Psychology and Work Today 1000
Research for Social Workers 1000
Mastering New Drug Applications: A Step-by-Step Guide (Mastering the FDA Approval Process Book 1) 800
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5907483
求助须知:如何正确求助?哪些是违规求助? 6792034
关于积分的说明 15768193
捐赠科研通 5031287
什么是DOI,文献DOI怎么找? 2708979
邀请新用户注册赠送积分活动 1658115
关于科研通互助平台的介绍 1602543