已入深夜,您辛苦了!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!祝你早点完成任务,早点休息,好梦!

Thermogalvanic hydrogel-based e-skin for self-powered on-body dual-modal temperature and strain sensing

材料科学 自愈水凝胶 电子皮肤 压阻效应 热电偶 柔性电子器件 纳米技术 计算机科学 生物医学工程 光电子学 复合材料 高分子化学 医学
作者
Zhaosu Wang,Ning Li,Xinru Yang,Zhiyi Zhang,Hulin Zhang,Xiaojing Cui
出处
期刊:Microsystems & Nanoengineering [Springer Nature]
卷期号:10 (1): 55-55 被引量:50
标识
DOI:10.1038/s41378-024-00693-6
摘要

Sensing of both temperature and strain is crucial for various diagnostic and therapeutic purposes. Here, we present a novel hydrogel-based electronic skin (e-skin) capable of dual-mode sensing of temperature and strain. The thermocouple ion selected for this study is the iodine/triiodide (I-/I3-) redox couple, which is a common component in everyday disinfectants. By leveraging the thermoelectric conversion in conjunction with the inherent piezoresistive effect of a gel electrolyte, self-powered sensing is achieved by utilizing the temperature difference between the human body and the external environment. The composite hydrogels synthesized from polyvinyl alcohol (PVA) monomers using a simple freeze‒thaw method exhibit remarkable flexibility, extensibility, and adaptability to human tissue. The incorporation of zwitterions further augments the resistance of the hydrogel to dehydration and low temperatures, allowing maintenance of more than 90% of its weight after 48 h in the air. Given its robust thermal current response, the hydrogel was encapsulated and then integrated onto various areas of the human body, including the cheeks, fingers, and elbows. Furthermore, the detection of the head-down state and the monitoring of foot movements demonstrate the promising application of the hydrogel in supervising the neck posture of sedentary office workers and the activity status. The successful demonstration of self-powered on-body temperature and strain sensing opens up new possibilities for wearable intelligent electronics and robotics.
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
科研财鸟完成签到,获得积分10
1秒前
科研通AI6.4应助岸然采纳,获得30
2秒前
传奇3应助Sc1ivez采纳,获得10
2秒前
null应助Peng0514采纳,获得10
3秒前
pacify完成签到 ,获得积分10
8秒前
慕青应助哎哟我去采纳,获得10
11秒前
11秒前
友好盼波发布了新的文献求助50
11秒前
风清扬发布了新的文献求助10
13秒前
14秒前
SciGPT应助xhsz1111采纳,获得10
17秒前
英俊的铭应助小易采纳,获得10
17秒前
Heuoo发布了新的文献求助10
18秒前
18秒前
拥抱完成签到 ,获得积分10
18秒前
19秒前
Rimbaud完成签到 ,获得积分10
19秒前
BJUTyang应助Hoshieko采纳,获得10
20秒前
20秒前
21秒前
22秒前
23秒前
Sc1ivez发布了新的文献求助10
23秒前
英姑应助小牛采纳,获得10
23秒前
勤劳盼易发布了新的文献求助10
24秒前
26秒前
26秒前
26秒前
26秒前
yu发布了新的文献求助10
27秒前
27秒前
27秒前
Ljd完成签到,获得积分10
27秒前
hyk发布了新的文献求助10
27秒前
27秒前
liu发布了新的文献求助10
28秒前
QIAN完成签到,获得积分10
28秒前
SleliLee发布了新的文献求助10
29秒前
Sc1ivez完成签到,获得积分10
29秒前
负责愫完成签到 ,获得积分10
31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
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Physiologic specialization in Peronospora manshurica 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7777581
求助须知:如何正确求助?哪些是违规求助? 9318485
关于积分的说明 20364575
捐赠科研通 7364543
什么是DOI,文献DOI怎么找? 3318952
关于科研通互助平台的介绍 2466621
邀请新用户注册赠送积分活动 2334202