Intrinsically Adhesive and Conductive Hydrogel Bridging the Bioelectronic–Tissue Interface for Biopotentials Recording

生物电子学 材料科学 导电聚合物 导电体 纳米技术 佩多:嘘 胶粘剂 桥接(联网) 粘附 生物医学工程 聚合物 生物传感器 计算机科学 复合材料 计算机网络 医学 图层(电子)
作者
Jiazheng Lao,Yang Jiao,Yingchao Zhang,Hanyan Xu,Yutong Wang,Yinji Ma,Xue Feng,Jing Yu
出处
期刊:ACS Nano [American Chemical Society]
卷期号:19 (8): 7755-7766 被引量:33
标识
DOI:10.1021/acsnano.4c12823
摘要

Achieving high-quality biopotential signal recordings requires soft and stable interfaces between soft tissues and bioelectronic devices. Traditional bioelectronics, typically rigid and dependent on medical tape or sutures, lead to mechanical mismatches and inflammatory responses. Existing conducting polymer-based bioelectronics offer tissue-like softness but lack intrinsic adhesion, limiting their effectiveness in creating stable, conductive interfaces. Here, we present an intrinsically adhesive and conductive hydrogel with a tissue-like modulus and strong adhesion to various substrates. Adhesive catechol groups are incorporated into the conductive poly(3,4-ethylenedioxythiophene) (PEDOT) hydrogel matrix, which reduces the PEDOT size and improves dispersity to form a percolating network with excellent electrical conductivity and strain insensitivity. This hydrogel effectively bridges the bioelectronics-tissue interface, ensuring pristine signal recordings with minimal interference from bodily movements. This capability is demonstrated through comprehensive in vivo experiments, including electromyography and electrocardiography recordings on both static and dynamic human skin and electrocorticography on moving rats. This hydrogel represents a significant advancement for bioelectronic interfaces, facilitating more accurate and less intrusive medical diagnostics.
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
烟花应助52251013106采纳,获得10
刚刚
1秒前
科研通AI6.4应助董家旭采纳,获得10
2秒前
我是老大应助欧气青年采纳,获得10
3秒前
4秒前
wanci应助cpp采纳,获得30
4秒前
binshier完成签到,获得积分10
4秒前
5秒前
何时出发发布了新的文献求助10
5秒前
1206完成签到,获得积分10
5秒前
冬瓜发布了新的文献求助10
6秒前
张正好发布了新的文献求助10
6秒前
星辰大海应助羞涩的渊思采纳,获得10
7秒前
7秒前
上官若男应助LL采纳,获得50
8秒前
爆米花应助qy采纳,获得20
8秒前
8秒前
听见完成签到,获得积分10
8秒前
9秒前
zhaoXIN发布了新的文献求助10
9秒前
10秒前
11秒前
11秒前
神勇草莓发布了新的文献求助10
11秒前
科研通AI6.2应助halo采纳,获得10
11秒前
szzhexna发布了新的文献求助10
11秒前
LMR完成签到 ,获得积分10
13秒前
啦啦啦完成签到,获得积分10
14秒前
NexusExplorer应助不语采纳,获得10
14秒前
14秒前
Rico完成签到 ,获得积分10
15秒前
小王梓发布了新的文献求助30
15秒前
15秒前
16秒前
123发布了新的文献求助10
16秒前
阿布应助幸福耷采纳,获得10
16秒前
zgrmws应助D_t采纳,获得20
17秒前
皮代谷发布了新的文献求助10
17秒前
18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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 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 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 6370293
求助须知:如何正确求助?哪些是违规求助? 8184235
关于积分的说明 17266401
捐赠科研通 5424858
什么是DOI,文献DOI怎么找? 2870073
邀请新用户注册赠送积分活动 1847049
关于科研通互助平台的介绍 1693826