Graphene-Fiber Microelectrodes for Ultrasensitive Neurochemical Detection

微电极 石墨烯 化学 神经化学 纳米技术 电极 电子转移 纤维 循环伏安法 生物传感器 电化学 材料科学 医学 有机化学 物理化学 内分泌学
作者
Yuxin Li,Romana Jarošová,Moriah E. Weese‐Myers,Ashley E. Ross
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:94 (11): 4803-4812 被引量:16
标识
DOI:10.1021/acs.analchem.1c05637
摘要

Here, we have synthesized and characterized graphene-fiber microelectrodes (GFME's) for subsecond detection of neurochemicals with fast-scan cyclic voltammetry (FSCV) for the first time. GFME's exhibited extraordinary properties including faster electron transfer kinetics, significantly improved sensitivity, and ease of tunability that we anticipate will have major impacts on neurochemical detection for years to come. GF's have been used in the literature for various applications; however, scaling their size down to microelectrodes and implementing them as neurochemical microsensors is significantly less developed. The GF's developed in this paper were on average 20–30 μm in diameter and both graphene oxide (GO) and reduced graphene oxide (rGO) fibers were characterized with FSCV. Neat GF's were synthesized using a one-step dimension-confined hydrothermal strategy. FSCV detection has traditionally used carbon-fiber microelectrodes (CFME's) and more recently carbon nanotube fiber electrodes; however, uniform functionalization and direct control of the 3D surface structure of these materials remain limited. The expansion to GFME's will certainly open new avenues for fine-tuning the electrode surface for specific electrochemical detection. When comparing to traditional CFME's, our GFME's exhibited significant increases in electron transfer, redox cycling, fouling resistance, higher sensitivity, and frequency independent behavior which demonstrates their incredible utility as biological sensors.

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
ccc发布了新的文献求助10
刚刚
xiexie完成签到,获得积分10
刚刚
哈哈发布了新的文献求助10
1秒前
云海老完成签到,获得积分10
2秒前
chaoswu完成签到,获得积分10
3秒前
小蘑菇应助TAT采纳,获得10
3秒前
天之骄子完成签到 ,获得积分10
4秒前
Arthur发布了新的文献求助10
4秒前
www发布了新的文献求助10
4秒前
小蘑菇应助晓爽采纳,获得10
5秒前
内向灵凡完成签到,获得积分10
6秒前
lxh完成签到,获得积分20
6秒前
6秒前
十三完成签到 ,获得积分10
6秒前
7秒前
夷则七发布了新的文献求助10
7秒前
8秒前
ywyw完成签到,获得积分10
8秒前
小马甲应助一一采纳,获得10
8秒前
8秒前
CLY发布了新的文献求助10
9秒前
zhang完成签到,获得积分10
11秒前
szd完成签到,获得积分10
11秒前
12秒前
12秒前
佳思思完成签到,获得积分10
12秒前
13秒前
13秒前
13秒前
13秒前
han完成签到,获得积分10
13秒前
爆米花应助FaFa采纳,获得10
14秒前
14秒前
充电宝应助七饭饭采纳,获得10
15秒前
林洛沁完成签到,获得积分10
16秒前
16秒前
16秒前
调皮翅膀关注了科研通微信公众号
16秒前
16秒前
酷波er应助多喝矿泉水采纳,获得10
17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
Various Faces of Animal Metaphor in English and Polish 800
The SAGE Dictionary of Qualitative Inquiry 610
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
On the Dragon Seas, a sailor's adventures in the far east 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 6345795
求助须知:如何正确求助?哪些是违规求助? 8160459
关于积分的说明 17162158
捐赠科研通 5401910
什么是DOI,文献DOI怎么找? 2860950
邀请新用户注册赠送积分活动 1838784
关于科研通互助平台的介绍 1688145