Modulating the Geometry of the Carbon Nanofiber Electrodes Provides Control over Dopamine Sensor Performance

选择性 化学 电极 抗坏血酸 电化学 碳纳米纤维 阳极 纳米技术 纳米纤维 化学工程 材料科学 催化作用 有机化学 物理化学 食品科学 工程类
作者
Ayesha Kousar,Ishan Pande,Laura Ferrer Pascual,Emilia Peltola,Jani Sainio,Tomi Laurila
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:95 (5): 2983-2991 被引量:28
标识
DOI:10.1021/acs.analchem.2c04843
摘要

One of the major challenges for in vivo electrochemical measurements of dopamine (DA) is to achieve selectivity in the presence of interferents, such as ascorbic acid (AA) and uric acid (UA). Complicated multimaterial structures and ill-defined pretreatments have been frequently utilized to enhance selectivity. The lack of control over the realized structures has prevented establishing associations between the achieved selectivity and the electrode structure. Owing to their easily tailorable structure, carbon nanofiber (CNF) electrodes have become promising materials for neurobiological applications. Here, a novel yet simple strategy to control the sensitivity and selectivity of CNF electrodes toward DA is reported. It consists of adjusting the lengths of CNF by modulating the growth phase during the fabrication process while keeping the surface chemistries similar. It was observed that the sensitivity of the CNF electrodes toward DA was enhanced with the increase in the fiber lengths. More importantly, the increase in the fiber length induced (i) an anodic shift in the DA oxidation peak and (ii) a cathodic shift in the AA oxidation peak. As the UA oxidation peak remained unaffected at high anodic potentials, the electrodes with long CNFs showed excellent selectivity. Electrodes without proper fibers showed only a single broad peak in the solution of AA, DA, and UA, completely lacking the ability to discriminate DA. Hence, the simple strategy of controlling CNF length without the need to carry out any complex chemical treatments provides us a feasible and robust route to fabricate electrode materials for neurotransmitter detection with excellent sensitivity and selectivity.
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
耍酷的白玉应助yxcc采纳,获得10
刚刚
春茶完成签到,获得积分20
刚刚
1秒前
1秒前
1秒前
初心发布了新的文献求助10
2秒前
2秒前
孙皓阳发布了新的文献求助20
2秒前
3秒前
3秒前
xx应助Dr_Prince采纳,获得30
3秒前
脑洞疼应助秋识采纳,获得10
3秒前
牛马完成签到 ,获得积分10
4秒前
PingSK完成签到 ,获得积分10
5秒前
nk发布了新的文献求助10
6秒前
荣幸完成签到 ,获得积分10
6秒前
6秒前
小星火烛发布了新的文献求助10
6秒前
小丸子发布了新的文献求助10
7秒前
绘冰完成签到,获得积分10
7秒前
wslingling发布了新的文献求助10
7秒前
贺兰发布了新的文献求助10
8秒前
8秒前
大个应助阔达书雪采纳,获得10
8秒前
9秒前
吴逸彪发布了新的文献求助10
9秒前
认真天与完成签到 ,获得积分10
9秒前
鱼鱼完成签到,获得积分10
10秒前
xky3371发布了新的文献求助10
11秒前
11秒前
Yuna完成签到,获得积分10
12秒前
tt发布了新的文献求助10
12秒前
等待香薇完成签到,获得积分10
12秒前
橙子味完成签到,获得积分10
13秒前
咚咚锵完成签到,获得积分10
14秒前
zhujh完成签到,获得积分10
14秒前
孙皓阳完成签到,获得积分10
14秒前
14秒前
行走的荷尔蒙应助Cecilia采纳,获得30
14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
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7758222
求助须知:如何正确求助?哪些是违规求助? 9304352
关于积分的说明 20279864
捐赠科研通 7341993
什么是DOI,文献DOI怎么找? 3312140
关于科研通互助平台的介绍 2462788
邀请新用户注册赠送积分活动 2325945