Multifunctional Flexible Sensor with Bionic Micro‐Nano Hierarchical Structure for Dual‐Mode Pressure and Temperature Sensing

材料科学 压力传感器 灵敏度(控制系统) 纳米传感器 纳米技术 计算机科学 无线 智能传感器 数码产品 无线传输 制作 电光传感器 传输(电信) 传感器阵列 柔性电子器件 碳纳米管 响应时间 无线传感器网络 智能材料 生物传感器 电子皮肤 机器人学 纳米纤维
作者
Dandan Xu,Peilin Zhou,Junru Ma,G. M. Xiang,Jiachen Wu,Heng Guo,Q. Li,Haozhe Wang,Yueqing Xia,Xiuli Zhang,Hao Yu,Lianqing Liu
出处
期刊:Small [Wiley]
卷期号:22 (27): e73163-e73163
标识
DOI:10.1002/smll.73163
摘要

ABSTRACT Flexible electronic devices have garnered significant attention for their promising applications in healthcare and electronic skin, particularly versatile multifunctional sensors with multi‐modal and diverse sensing capabilities. However, these sensors often encounter challenges such as diminished sensing performance and difficulties in decoupling. Bioinspired by ants, spiders, mosquitoes, and lotus leaves, a bionic multifunctional (BMF) sensor is proposed in this study, featuring micro‐nano hierarchical structure that offers exceptional hydrophobicity and enables simultaneous pressure and temperature sensing. The BMF sensor, constructed of MXene‐coated melamine foam and carbon nanotubes/poly(vinylidene fluoride) nanofiber membrane, exhibits an ultra‐high‐pressure sensitivity (986.51 kPa −1 ), wide detection range (0–200 kPa), fast response time (22 ms), and a temperature sensitivity of 9.891 µVK −1 . Based on the integrated sensor array of the multifunctional sensing film, the pressure‐temperature distribution could be accurately identified. The excellent performance of the BMF sensor allowed it to successfully monitor different physiological signals in the human body. More importantly, an intelligent gesture recognition system for robotic hands based on noncontact human‐machine interaction was developed by combining wireless transmission and deep learning. These results indicate that the prepared sensors have great application potential in the fields of healthcare, intelligent robots, human‐machine interaction, and artificial intelligence.
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
molihuakai应助Rainbow采纳,获得10
刚刚
orixero应助周树人采纳,获得10
刚刚
刚刚
称心青亦完成签到,获得积分10
1秒前
周唐完成签到,获得积分10
1秒前
所所应助YY采纳,获得10
1秒前
ti发布了新的文献求助10
2秒前
小铭完成签到,获得积分10
2秒前
3秒前
dian发布了新的文献求助10
3秒前
3秒前
3秒前
SciGPT应助粒粒采纳,获得10
4秒前
4秒前
4秒前
4秒前
4秒前
5秒前
5秒前
5秒前
5秒前
棠棠完成签到 ,获得积分10
5秒前
fym完成签到,获得积分10
5秒前
5秒前
6秒前
6秒前
6秒前
6秒前
TvTiing发布了新的文献求助10
6秒前
lf发布了新的文献求助10
6秒前
6秒前
7秒前
7秒前
7秒前
7秒前
RXwang完成签到,获得积分10
7秒前
kong发布了新的文献求助10
7秒前
piupiu完成签到,获得积分10
7秒前
天天快乐应助科研通管家采纳,获得10
7秒前
852应助科研通管家采纳,获得10
7秒前
高分求助中
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2000
Overcoming Stigma and Bias in Obesity Management 1200
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6489807
求助须知:如何正确求助?哪些是违规求助? 8288078
关于积分的说明 17682702
捐赠科研通 5580165
什么是DOI,文献DOI怎么找? 2914596
邀请新用户注册赠送积分活动 1891566
关于科研通互助平台的介绍 1749260