Graphene‐Based Nanomaterials for Neuroengineering: Recent Advances and Future Prospective

石墨烯 材料科学 纳米技术 再生(生物学) 纳米材料 组织工程 生物相容性 药物输送 生物医学工程 生物 细胞生物学 医学 冶金
作者
Raj Kumar,Rossana Rauti,Denis Scaini,Merav Antman‐Passig,Ohad Meshulam,Doron Naveh,Laura Ballerini,Orit Shefi
出处
期刊:Advanced Functional Materials [Wiley]
卷期号:31 (46) 被引量:31
标识
DOI:10.1002/adfm.202104887
摘要

Abstract Graphene unique physicochemical properties made it prominent among other allotropic forms of carbon, in many areas of research and technological applications. Interestingly, in recent years, many studies exploited the use of graphene family nanomaterials (GNMs) for biomedical applications such as drug delivery, diagnostics, bioimaging, and tissue engineering research. GNMs are successfully used for the design of scaffolds for controlled induction of cell differentiation and tissue regeneration. Critically, it is important to identify the more appropriate nano/bio material interface sustaining cells differentiation and tissue regeneration enhancement. Specifically, this review is focussed on graphene‐based scaffolds that endow physiochemical and biological properties suitable for a specific tissue, the nervous system, that links tightly morphological and electrical properties. Different strategies are reviewed to exploit GNMs for neuronal engineering and regeneration, material toxicity, and biocompatibility. Specifically, the potentiality for neuronal stem cells differentiation and subsequent neuronal network growth as well as the impact of electrical stimulation through GNM on cells is presented. The use of field effect transistor (FET) based on graphene for neuronal regeneration is described. This review concludes the important aspects to be controlled to make graphene a promising candidate for further advanced application in neuronal tissue engineering and biomedical use.
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
hjyylab应助keyanbaby采纳,获得10
刚刚
刚刚
月璃发布了新的文献求助10
刚刚
Lone完成签到,获得积分10
1秒前
田乐天发布了新的文献求助10
1秒前
研友_Z33EGZ完成签到,获得积分10
2秒前
2秒前
3秒前
若狂完成签到,获得积分10
3秒前
呋喃完成签到,获得积分10
4秒前
yang杨完成签到,获得积分10
4秒前
likinwei发布了新的文献求助10
4秒前
BU发布了新的文献求助10
4秒前
星期日不上发条完成签到,获得积分10
4秒前
ramu发布了新的文献求助10
5秒前
5秒前
和谐的火龙果完成签到,获得积分10
5秒前
Summer夏天完成签到,获得积分10
6秒前
完美世界应助无醇橙汁采纳,获得10
6秒前
杨老师发布了新的文献求助10
6秒前
6秒前
整齐的萝发布了新的文献求助10
6秒前
7秒前
薄荷水发布了新的文献求助10
7秒前
aaabbb完成签到,获得积分10
7秒前
elastin发布了新的文献求助10
7秒前
8秒前
嘿嘿发布了新的文献求助10
9秒前
wumengke发布了新的文献求助30
10秒前
10秒前
UPUP完成签到,获得积分10
10秒前
SID完成签到,获得积分10
10秒前
zz完成签到,获得积分10
11秒前
634301059完成签到 ,获得积分10
11秒前
joysa完成签到,获得积分10
11秒前
夏夏发布了新的文献求助10
11秒前
12秒前
yan1875完成签到,获得积分10
12秒前
爆米花应助123采纳,获得10
13秒前
月璃完成签到,获得积分10
13秒前
高分求助中
Applied Survey Data Analysis (第三版, 2025) 800
Assessing and Diagnosing Young Children with Neurodevelopmental Disorders (2nd Edition) 700
Images that translate 500
引进保护装置的分析评价八七年国外进口线路等保护运行情况介绍 500
Algorithmic Mathematics in Machine Learning 500
Handbook of Innovations in Political Psychology 400
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
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 3841290
求助须知:如何正确求助?哪些是违规求助? 3383379
关于积分的说明 10529293
捐赠科研通 3103468
什么是DOI,文献DOI怎么找? 1709269
邀请新用户注册赠送积分活动 823044
科研通“疑难数据库(出版商)”最低求助积分说明 773769