Electroactive Smart Materials for Neural Tissue Regeneration

再生(生物学) 背景(考古学) 再生医学 智能材料 过程(计算) 神经科学 计算机科学 神经组织工程 神经假体 桥(图论) 脑组织 组织工程 生物医学工程 纳米技术 工程类 材料科学 生物 干细胞 解剖 古生物学 操作系统 细胞生物学 遗传学
作者
Tiffany S. Pinho,Cristiana B. Cunha,S. Lanceros‐Méndez,António J. Salgado
出处
期刊:ACS applied bio materials [American Chemical Society]
卷期号:4 (9): 6604-6618 被引量:16
标识
DOI:10.1021/acsabm.1c00567
摘要

Repair in the human nervous system is a complex and intertwined process that offers significant challenges to its study and comprehension. Taking advantage of the progress in fields such as tissue engineering and regenerative medicine, the scientific community has witnessed a strong increase of biomaterial-based approaches for neural tissue regenerative therapies. Electroactive materials, increasingly being used as sensors and actuators, also find application in neurosciences due to their ability to deliver electrical signals to the cells and tissues. The use of electrical signals for repairing impaired neural tissue therefore presents an interesting and innovative approach to bridge the gap between fundamental research and clinical applications in the next few years. In this review, first a general overview of electroactive materials, their historical origin, and characteristics are presented. Then a comprehensive view of the applications of electroactive smart materials for neural tissue regeneration is presented, with particular focus on the context of spinal cord injury and brain repair. Finally, the major challenges of the field are discussed and the main challenges for the near future presented. Overall, it is concluded that electroactive smart materials play an ever-increasing role in neural tissue regeneration, appearing as potentially valuable biomaterials for regenerative purposes.
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
沐晴发布了新的文献求助30
刚刚
1秒前
1秒前
领导范儿应助专注的语堂采纳,获得10
2秒前
超帅的店员完成签到,获得积分10
2秒前
xulin完成签到 ,获得积分10
2秒前
猪猪hero应助黎明采纳,获得10
3秒前
3秒前
乐观小之应助默默若枫采纳,获得10
4秒前
5秒前
6秒前
忙碌的数学人完成签到 ,获得积分10
6秒前
TTD发布了新的文献求助10
6秒前
水木年华发布了新的文献求助10
6秒前
在水一方应助Yue采纳,获得10
6秒前
机灵觅双完成签到,获得积分10
7秒前
华仔应助《子非鱼》采纳,获得10
9秒前
张鑫隆完成签到,获得积分10
9秒前
斯文败类应助专注的语堂采纳,获得10
9秒前
香蕉觅云应助啦啦啦采纳,获得10
10秒前
十三十四十五完成签到,获得积分10
10秒前
yaning2022完成签到,获得积分10
10秒前
wang456完成签到,获得积分10
11秒前
11秒前
14秒前
机灵觅双发布了新的文献求助20
17秒前
li发布了新的文献求助10
18秒前
公孙朝雨完成签到 ,获得积分10
22秒前
丁鹏笑完成签到 ,获得积分0
24秒前
li完成签到,获得积分10
26秒前
勇士绿老师完成签到,获得积分10
27秒前
Alanni完成签到 ,获得积分10
31秒前
英俊的铭应助MBEye采纳,获得10
32秒前
Ava应助水木年华采纳,获得10
35秒前
37秒前
倾语发布了新的文献求助10
38秒前
陈ZQ完成签到,获得积分20
38秒前
111完成签到,获得积分10
40秒前
40秒前
英俊的铭应助毛豆爱睡觉采纳,获得10
41秒前
高分求助中
Handbook of Diagnosis and Treatment of DSM-5-TR Personality Disorders (2025, 4th edition) 800
Algorithmic Mathematics in Machine Learning 500
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 400
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
The Monocyte-to-HDL ratio (MHR) as a prognostic and diagnostic biomarker in Acute Ischemic Stroke: A systematic review with meta-analysis (P9-14.010) 240
Capitalism and Its Critics: A History: From the Industrial Revolution to AI 200
The Triumph of Economic Freedom: Debunking the Seven Myths of American Capitalism 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3832915
求助须知:如何正确求助?哪些是违规求助? 3375336
关于积分的说明 10488703
捐赠科研通 3094953
什么是DOI,文献DOI怎么找? 1704149
邀请新用户注册赠送积分活动 819814
科研通“疑难数据库(出版商)”最低求助积分说明 771661