3D Printed Implantable Hydrogel Bioelectronics for Electrophysiological Monitoring and Electrical Modulation

生物电子学 生物界面 材料科学 自愈水凝胶 纳米技术 佩多:嘘 导电聚合物 电活性聚合物 聚苯乙烯磺酸盐 生物医学工程 聚合物 生物传感器 复合材料 医学 高分子化学 图层(电子)
作者
Fu‐Cheng Wang,Yuhua Xue,Xingmei Chen,Pei Zhang,Liangjie Shan,Qingfang Duan,Junfei Xing,Yang Lan,Baoyang Lu,Ji Liu
出处
期刊:Advanced Functional Materials [Wiley]
卷期号:34 (21) 被引量:135
标识
DOI:10.1002/adfm.202314471
摘要

Abstract Electronic devices based on conducting polymer hydrogels have emerged as one of the most promising implantable bioelectronics for electrophysiological monitoring and diagnosis of a wide spectrum of diseases, in light of their distinct conductivity and biocompatibility. However, most conducting polymer hydrogels‐based bioelectronics are routinely fabricated through conventional techniques, which are challenged by its intrinsic poor processability of conducting polymers, as well as the essentially fragile biointerface, thus hampering their rapid innovation and application in advanced implantable bioelectronics. Here, 3D printable hydrogels based on poly(3,4‐ethylenedioxythiophene):polystyrene sulfonate (PEDOT:PSS) is reported, featuring superior 3D printability for direct ink writing (DIW), tissue‐like mechanical compliance (Young's modulus of 650 kPa), instant and tough bioadhesion (interfacial toughness of 200 J m −2 and shear strength of 120 kPa), highly‐tunable electrical properties, as well as long‐term in vitro and in vivo structural and electrochemical robustness. Electro‐physiological studies rat heart models with normal or arrhythmic conditions highlight the capabilities of establishing conformal biointerface with the dynamic organs, allowing for long‐term and high‐precision spatiotemporary epicardial electrophysiological monitoring, as well as electrical modulation of acute myocardial infarction (MI) model. These advances provide a promising strategy to improve the tissue‐electronics interfacing, and could serve as the basis for the next generation bioelectronics toward healthcare monitoring, diagnosis and medical therapies.
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
1秒前
dhx7530发布了新的文献求助10
1秒前
阳光初之完成签到 ,获得积分10
1秒前
1秒前
科研通AI6.4应助LXK采纳,获得10
2秒前
dddd发布了新的文献求助10
3秒前
wjl12345发布了新的文献求助10
3秒前
彩虹大侠发布了新的文献求助10
4秒前
oyd发布了新的文献求助10
4秒前
Ge完成签到,获得积分10
5秒前
今后应助kyo采纳,获得10
5秒前
雪流星完成签到,获得积分10
7秒前
L1完成签到,获得积分10
8秒前
8秒前
9秒前
9秒前
研友_ndDY5n发布了新的文献求助10
10秒前
脑洞疼应助小芒果采纳,获得10
11秒前
11秒前
大力的诗蕾关注了科研通微信公众号
11秒前
12秒前
唠叨的汉堡完成签到,获得积分10
12秒前
大模型应助谨慎的秋烟采纳,获得10
12秒前
xiaobo发布了新的文献求助10
12秒前
zZZ发布了新的文献求助10
14秒前
lele完成签到,获得积分10
14秒前
mrastv发布了新的文献求助10
15秒前
15秒前
15秒前
ccc发布了新的文献求助10
16秒前
18秒前
18秒前
li发布了新的文献求助10
18秒前
18秒前
19秒前
19秒前
黑心皮蛋完成签到,获得积分10
20秒前
深情元蝶发布了新的文献求助30
20秒前
柯擎汉完成签到,获得积分10
21秒前
自由凝天发布了新的文献求助10
22秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
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
Adhesion Science: Principles & Practice 400
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 6491453
求助须知:如何正确求助?哪些是违规求助? 8289366
关于积分的说明 17687996
捐赠科研通 5582684
什么是DOI,文献DOI怎么找? 2915024
邀请新用户注册赠送积分活动 1892177
关于科研通互助平台的介绍 1749927