Development of a new electrochemical imprinted sensor based on poly-pyrrole, sol–gel and multiwall carbon nanotubes for determination of tramadol

碳纳米管 材料科学 电化学气体传感器 介电谱 聚吡咯 分子印迹聚合物 循环伏安法 电极 电化学 检出限 化学工程 分析化学(期刊) 纳米技术 聚合物 复合材料 色谱法 化学 聚合 选择性 有机化学 工程类 物理化学 催化作用
作者
Behjat Deiminiat,Gholam Hossein Rounaghi,Mohammad Hossein Arbab-Zavar
出处
期刊:Sensors and Actuators B-chemical [Elsevier BV]
卷期号:238: 651-659 被引量:109
标识
DOI:10.1016/j.snb.2016.07.110
摘要

A novel electrochemical imprinted sensor was constructed for sensitive and selective determination of tramadol (TRA) by combination of a functionalized multiwall carbon nanotubes (f-MWCNTs) layer and a thin molecularly imprinted film. The imprinted sensor was fabricated on the surface of a glassy carbon electrode (GCE) through layer by layer modification of f-MWCNTs and a thin film of molecularly imprinted polymer (MIP) composed of polypyrrole (PPy), sol–gel and tramadol by electrochemical deposition. Multiwall carbon nanotubes (MWCNTs) were introduced for the enhancement of electronic transmission and sensitivity. Electrochemical methods including cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) were used to characterize the processes of electropolymerization, template removal and rebinding in the presence of [Fe(CN)6]3−/[Fe(CN)6]4− which was used as an electrochemical active probe. The effect of several parameters influencing the performance of the imprinted sensor, were investigated and optimized. Under the optimized experimental conditions, the calibration curve of the MIP electrode had two linear concentration ranges from 0.2 to 2.0 nM and 2.0–20.0 nM, with a limit of detection (LOD) of 0.03 nM. The effects of interfering substances on the determination of tramadol were also investigated and it was found that the proposed sensor is highly selective to tramadol. Also, the reproducibility, repeatability, stability and the response time of the imprinted sensor were all found to be satisfactory. Finally, the constructed electrode was successfully employed for determination of tramadol 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
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
1秒前
LIMO发布了新的文献求助10
2秒前
zzzzzzzp完成签到,获得积分10
2秒前
赖建琛完成签到 ,获得积分10
3秒前
OVOV完成签到,获得积分10
3秒前
鑫问完成签到,获得积分10
3秒前
biovhys完成签到,获得积分10
3秒前
欣慰外套完成签到 ,获得积分10
4秒前
Wang完成签到,获得积分10
4秒前
孝陵卫黑旋风完成签到,获得积分10
6秒前
Akim应助weeqe采纳,获得10
6秒前
赘婿应助孙芷妍采纳,获得10
7秒前
ZaiJ完成签到,获得积分10
7秒前
龙门幽谷完成签到,获得积分10
7秒前
Ethan应助jinyu采纳,获得10
7秒前
行知完成签到,获得积分10
7秒前
7分运气完成签到,获得积分10
8秒前
8秒前
Mystic完成签到,获得积分10
8秒前
9秒前
zzxlin完成签到,获得积分10
9秒前
9秒前
9秒前
光亮笑柳完成签到,获得积分10
10秒前
研友_VZG7GZ应助cheng采纳,获得50
10秒前
潇洒的白昼完成签到,获得积分10
11秒前
亚尔完成签到,获得积分10
11秒前
Mystic发布了新的文献求助10
11秒前
Ricardo完成签到,获得积分10
11秒前
谦让安白完成签到,获得积分10
11秒前
木光完成签到,获得积分10
12秒前
Lucas应助123采纳,获得10
12秒前
唐唐完成签到 ,获得积分10
13秒前
鹿lu完成签到 ,获得积分10
13秒前
正能量的涛完成签到,获得积分10
13秒前
kyt发布了新的文献求助10
13秒前
爱吃火锅发布了新的文献求助10
13秒前
cy123关注了科研通微信公众号
14秒前
姜汐完成签到,获得积分10
14秒前
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
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 600
Bounds for Statistical Estimation in Semiparametric Models 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 6498403
求助须知:如何正确求助?哪些是违规求助? 8294316
关于积分的说明 17697521
捐赠科研通 5594462
什么是DOI,文献DOI怎么找? 2917665
邀请新用户注册赠送积分活动 1894641
关于科研通互助平台的介绍 1755279