Rational design of molecularly imprinted electrochemical sensor based on Nb2C-MWCNTs heterostructures for highly sensitive and selective detection of Ochratoxin a

分子印迹聚合物 电化学气体传感器 赭曲霉毒素A 纳米技术 赭曲霉毒素 材料科学 化学 电化学 选择性 有机化学 食品科学 电极 真菌毒素 物理化学 催化作用
作者
Hao Huang,Weiwei Ouyang,Kehuai Feng,María Belén Camarada,Tao Liao,Xinjie Tang,Rumeng Liu,Dan Hou,Xiaoning Liao
出处
期刊:Food Chemistry [Elsevier]
卷期号:456: 140007-140007 被引量:24
标识
DOI:10.1016/j.foodchem.2024.140007
摘要

Developing an efficient method for screening Ochratoxin A (OTA) in agriculture products is vital to ensure food safety and human health. However, the complex food matrix seriously affects the sensitivity and accuracy. To address this issue, we designed a novel molecularly imprinted polymer (MIP) electrochemical sensor based on multiwalled carbon nanotube-modified niobium carbide (Nb2C-MWCNTs) with the aid of the density functional theory (DFT). In this design, a glassy carbon electrode (GCE) was first modified by Nb2C-MWCNTs heterostructure. Afterward, the MIP layer was prepared, with ortho-toluidine as a functional monomer selected via DFT and OTA acting as a template on the surface of Nb2C-MWCNTs/GCE using in-situ electropolymerization. Electrochemical tests and physical characterization revealed that Nb2C-MWCNTs improved the sensor's active surface area and electron transmission capacity. Nb2C-MWCNTs had a good synergistic effect on MIP, endowing the sensor with high sensitivity and specific recognition of OTA in complex food matrix systems. The MIP sensor showed a wide linear range from 0.04 to 10.0 μM with a limit of detection (LOD) of 3.6 nM. Moreover, it presented good repeatability and stability for its highly antifouling effect on OTA. In real sample analysis, the recoveries, ranging from 89.77% to 103.70%, agreed well with the results obtained by HPLC methods, suggesting the sensor has good accuracy and high potential in practical applications.
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
绝世冰淇淋完成签到 ,获得积分10
1秒前
义气幼珊完成签到 ,获得积分10
1秒前
1秒前
1秒前
2秒前
3秒前
3秒前
5秒前
赵宇宙完成签到,获得积分10
5秒前
薄荷发布了新的文献求助10
5秒前
小巧的寻芹完成签到,获得积分10
5秒前
Runing完成签到,获得积分10
5秒前
慕青应助小小新采纳,获得10
6秒前
6秒前
lrsabrina发布了新的文献求助10
6秒前
7秒前
8秒前
量子星尘发布了新的文献求助10
8秒前
L_Gary完成签到 ,获得积分10
8秒前
9秒前
Ao发布了新的文献求助10
9秒前
9秒前
潇洒的妙芙完成签到,获得积分20
9秒前
Linden_bd完成签到 ,获得积分10
9秒前
梅哈完成签到,获得积分10
10秒前
李健的粉丝团团长应助lxgz采纳,获得10
10秒前
泓凯骏完成签到 ,获得积分10
10秒前
jiejie59867发布了新的文献求助10
11秒前
科研通AI2S应助dd采纳,获得10
11秒前
黄黄完成签到,获得积分0
11秒前
从容水蓝发布了新的文献求助10
12秒前
西粤学完成签到,获得积分20
12秒前
13秒前
13秒前
14秒前
14秒前
15秒前
munawar完成签到 ,获得积分10
15秒前
smottom应助sresr采纳,获得10
15秒前
小马甲应助xu采纳,获得10
15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
Binary Alloy Phase Diagrams, 2nd Edition 8000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5666162
求助须知:如何正确求助?哪些是违规求助? 4879499
关于积分的说明 15116271
捐赠科研通 4825301
什么是DOI,文献DOI怎么找? 2583190
邀请新用户注册赠送积分活动 1537255
关于科研通互助平台的介绍 1495523