Development of a molecularly imprinted polymer electrochemical sensor and its application for sensitive detection and determination of malathion in olive fruits and oils

分子印迹聚合物 检出限 重复性 循环伏安法 微分脉冲伏安法 介电谱 电化学气体传感器 分子印迹 色谱法 聚合物 材料科学 化学 电极 核化学 电化学 选择性 有机化学 物理化学 催化作用
作者
Youssra Aghoutane,Alassane Diouf,Lars Österlund,Benachir Bouchikhi,Nezha El Bari
出处
期刊:Bioelectrochemistry [Elsevier]
卷期号:132: 107404-107404 被引量:50
标识
DOI:10.1016/j.bioelechem.2019.107404
摘要

Malathion (MAL) is an organophosphorus (OP) insecticide. It is a cholinesterase inhibitor, which can pose serious health and environmental problems. In this study, a sensitive and selective molecular imprinted polymer (MIP) based on screen-printed gold electrodes (Au-SPE) for MAL detection in olive oils and fruits, was devised. The MIP sensor was prepared using acrylamide as the functional monomer and MAL as the template. Subsequently, the morphology of the electrode surface was studied by scanning electron microscopy (SEM) and atomic force microscopy (AFM). The electrochemical characterization of the developed MIP sensor was performed by cyclic voltammetry (CV), differential pulse voltammetry (DPV), and electrochemical impedance spectroscopy (EIS) techniques. The operational repeatability and stability of the sensor were studied. It was found to have a dynamic concentration range of (0.1 pg mL-1-1000 pg mL-1) and a low limit of detection (LOD) of 0.06 pg mL-1. Furthermore, the sensor was employed to determine MAL content in olive oil with a recovery rate of 87.9% and a relative standard deviation of 8%. It was successfully applied for MAL determination in real samples and promise to open new opportunities for the detection of OP pesticides residues in various food products, as well as in environmental applications.

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
冲冲冲应助科研通管家采纳,获得10
刚刚
刚刚
一一应助科研通管家采纳,获得10
刚刚
1秒前
情怀应助科研通管家采纳,获得10
1秒前
1秒前
KiKi完成签到,获得积分10
1秒前
Jasper应助科研通管家采纳,获得10
1秒前
冲冲冲应助科研通管家采纳,获得10
1秒前
ding应助科研通管家采纳,获得10
1秒前
金枪鱼发布了新的文献求助10
1秒前
wanci应助科研通管家采纳,获得10
1秒前
1111应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
HeiHei完成签到,获得积分10
2秒前
2秒前
2秒前
Ch完成签到,获得积分10
2秒前
2秒前
3秒前
Wellnemo完成签到,获得积分10
3秒前
3秒前
葛稀完成签到,获得积分10
3秒前
3秒前
3秒前
yy完成签到,获得积分10
3秒前
3秒前
香蕉觅云应助喜欢学习采纳,获得10
3秒前
4秒前
lurenjia发布了新的文献求助10
4秒前
4秒前
4秒前
4秒前
隐形曼青应助陌路采纳,获得10
5秒前
zcs完成签到,获得积分10
5秒前
优雅沛文完成签到 ,获得积分10
5秒前
azh完成签到,获得积分10
5秒前
石榴发布了新的文献求助10
5秒前
5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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 2000
Digital Twins of Advanced Materials Processing 2000
Social Cognition: Understanding People and Events 1200
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6036462
求助须知:如何正确求助?哪些是违规求助? 7754725
关于积分的说明 16214654
捐赠科研通 5182488
什么是DOI,文献DOI怎么找? 2773540
邀请新用户注册赠送积分活动 1756774
关于科研通互助平台的介绍 1641247