Electrochemical determination of dopamine and uric acid with covalent organic frameworks and Ox-MWCNT co-modified glassy carbon electrode

电化学 电极 多巴胺 玻璃碳 共价键 尿酸 材料科学 碳纤维 化学 化学工程 无机化学 有机化学 循环伏安法 复合材料 生物化学 物理化学 复合数 工程类 神经科学 生物
作者
Hao Guo,Bingqing Liu,Zhilan Pan,Lei Sun,Liping Peng,Yuan Chen,Ning Wu,Mingyue Wang,Yang Wu
出处
期刊:Colloids and Surfaces A: Physicochemical and Engineering Aspects [Elsevier BV]
卷期号:648: 129316-129316 被引量:22
标识
DOI:10.1016/j.colsurfa.2022.129316
摘要

Covalent organic frameworks (COFs) have received tremendous interest due to their structural diversity and versatility. These unique physicochemical properties make them exhibit great application potential in the field of electrochemical sensor. In this study, an imine bond-linked COF with porosity and large specific surface area was fabricated by a dehydration condensation reaction between 1, 3, 5-tris(4-formylphenyl)benzene (TFPB) and 1, 3, 5-tris(4-aminophenyl) benzene (TAPB) and combined with high electrical conductivity of oxidized multi-walled carbon nanotube (Ox-MWCNT). The structure of the COF and the resulted composite material were confirmed through a series of characterization techniques, including Fourier-transform infrared spectroscopy, powder X-ray diffraction, scanning electron microscopy and thermogravimetric analysis, then a co-modified glassy carbon electrode was constructed for simple, sensitive and selective electrochemical recognition of dopamine (DA) and uric acid (UA). The fabricated electrochemical sensor displayed a strong current response to both DA and UA in the phosphate buffer solution (PBS) at pH = 6.5. The synergistic effect between COFs and Ox-MWCNT effectively improved the analytical sensitivity for the target analytes. Under optimized experimental conditions, the method showed good performance for DA and UA in the concentration range of 0.6–250.0 μM with low detection limits of 0.073 μM and 0.063 μM (S/N = 3), respectively. Moreover, the proposed sensor exhibited high selectivity, longtime stability, desirable repeatability and acceptable reproducibility and can be used to analyze simultaneously DA and UA in biological and medicine samples with satisfactory results. Our work not only provides a simple way to detect DA and UA quantitatively in real samples, but also offers a new platform for COF-based composite application in electrochemical sensing . • TFPB-TAPB-COF is prepared via a simple solvothermal method. • TFPB-TAPB-COF/Ox-MWCNT/GCE is fabricated for sensing of dopamine (DA) and uric acid (UA). • The sensor has low detection limits and wide linear ranges for detection DA and UA. • The sensor is successfully applied to the determination of DA and UA in real samples.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
SciGPT应助科研通管家采纳,获得20
刚刚
科研通AI6应助科研通管家采纳,获得10
刚刚
Ava应助科研通管家采纳,获得10
刚刚
尉迟希望应助科研通管家采纳,获得10
刚刚
深情安青应助科研通管家采纳,获得10
1秒前
传奇3应助科研通管家采纳,获得10
1秒前
DijiaXu应助科研通管家采纳,获得150
1秒前
所所应助科研通管家采纳,获得10
1秒前
科研通AI5应助科研通管家采纳,获得10
1秒前
Hello应助科研通管家采纳,获得10
1秒前
1秒前
田様应助科研通管家采纳,获得10
1秒前
CipherSage应助科研通管家采纳,获得10
1秒前
Hello应助科研通管家采纳,获得10
1秒前
NexusExplorer应助科研通管家采纳,获得10
1秒前
wanci应助科研通管家采纳,获得30
1秒前
sleepingfish应助科研通管家采纳,获得20
1秒前
酷波er应助科研通管家采纳,获得10
2秒前
FashionBoy应助科研通管家采纳,获得10
2秒前
Jasper应助科研通管家采纳,获得10
2秒前
领导范儿应助科研通管家采纳,获得10
2秒前
科研通AI6应助科研通管家采纳,获得10
2秒前
JamesPei应助科研通管家采纳,获得10
2秒前
2秒前
搜集达人应助自由青柏采纳,获得10
2秒前
wanci应助科研通管家采纳,获得10
3秒前
3秒前
sunchang发布了新的文献求助30
3秒前
科研通AI6应助科研通管家采纳,获得10
3秒前
淡淡的白羊完成签到 ,获得积分10
3秒前
爆米花应助科研通管家采纳,获得10
3秒前
3秒前
xh发布了新的文献求助10
3秒前
甜心发布了新的文献求助10
3秒前
3秒前
科研通AI6应助科研通管家采纳,获得10
3秒前
3秒前
3秒前
3秒前
3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
Acute Mountain Sickness 2000
A novel angiographic index for predicting the efficacy of drug-coated balloons in small vessels 500
Textbook of Neonatal Resuscitation ® 500
Thomas Hobbes' Mechanical Conception of Nature 500
The Affinity Designer Manual - Version 2: A Step-by-Step Beginner's Guide 500
Affinity Designer Essentials: A Complete Guide to Vector Art: Your Ultimate Handbook for High-Quality Vector Graphics 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5095640
求助须知:如何正确求助?哪些是违规求助? 4308615
关于积分的说明 13424929
捐赠科研通 4135474
什么是DOI,文献DOI怎么找? 2265586
邀请新用户注册赠送积分活动 1268936
关于科研通互助平台的介绍 1204972