A novel electrochemical ion imprinting sensor modified with carbon nanocomposites and its high selectivity for cadmium ion detection in real samples

电化学气体传感器 材料科学 循环伏安法 微分脉冲伏安法 检出限 碳纳米管 水溶液中的金属离子 化学工程 介电谱 电化学 纳米复合材料 分子印迹聚合物 石墨烯 纳米技术 金属 化学 选择性 电极 色谱法 有机化学 工程类 物理化学 冶金 催化作用
作者
Yi Zhang,Wanzhen Xu,Yanmeng Liu,Weihong Huang,Wenming Yang
出处
期刊:Polymer International [Wiley]
卷期号:72 (12): 1096-1103
标识
DOI:10.1002/pi.6558
摘要

Abstract Due to their high toxicity, potential for bioaccumulation and carcinogenicity, heavy metal pollutants have harmed the environment. Cadmium is a dangerous heavy metal that can accumulate easily in the human body. Long‐term exposure to cadmium‐contaminated environments can result in numerous diseases. A novel electrochemical sensor based on multi‐walled carbon nanotubes (MWCNTs)–imprinted polymer and reduced graphene oxide–titanium oxide (rGO@TiO 2 ) is reported which was used to detect cadmium ions in actual samples in a highly sensitive and precise method. By using the surface imprinting technique to adhere the imprinted polymer to the surface of the MWCNTs, the template removal rate and cavity utilization rate are increased. At the same time, the electron transfer rate is increased by the MWCNTs’ superior electrochemical performance and higher conductivity. Transmission electron microscopy was used to characterize the composite's morphology. Cyclic voltammetry, differential pulse voltammetry and electrochemical impedance spectroscopy were used to describe the imprinted polymer's electrochemical behavior. The findings demonstrate the sensor's excellent cadmium ion selectivity. Under ideal experimental conditions, the electrochemical sensor has a good linear relationship in the range of 10 −9 to 10 −6 mol L −1 , and the detection limit is 1.12 × 10 −9 mol L −1 . The novel sensor offers outstanding repeatability and stability in addition to good selectivity and sensitivity. Eventually, real samples were successfully used to apply the electrochemical sensor for the detection of trace Cd(II) (river water, tap water and rice). © 2023 Society of Industrial Chemistry.
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
上官若男应助wary采纳,获得10
刚刚
李爱国应助木子采纳,获得10
刚刚
烟花应助马佳凯采纳,获得10
刚刚
刚刚
LYL完成签到,获得积分10
1秒前
1秒前
得意凡人完成签到,获得积分10
1秒前
1秒前
害怕的擎宇完成签到,获得积分10
2秒前
柳絮完成签到,获得积分20
2秒前
3秒前
赫连烙发布了新的文献求助10
3秒前
目遇给目遇的求助进行了留言
4秒前
Arnold发布了新的文献求助10
5秒前
在九月完成签到 ,获得积分10
5秒前
selfevidbet发布了新的文献求助30
5秒前
通~发布了新的文献求助10
5秒前
靓仔完成签到,获得积分10
5秒前
妙手回春板蓝根完成签到,获得积分10
5秒前
6秒前
11完成签到,获得积分10
7秒前
1111完成签到,获得积分10
7秒前
777完成签到,获得积分10
8秒前
junzilan发布了新的文献求助10
8秒前
8秒前
sun应助leave采纳,获得20
8秒前
8秒前
9秒前
9秒前
Loooong应助小房子采纳,获得10
10秒前
10秒前
云_123完成签到,获得积分10
11秒前
hf发布了新的文献求助10
11秒前
11秒前
赫连烙完成签到,获得积分10
11秒前
小二郎应助整齐小猫咪采纳,获得10
12秒前
领导范儿应助愤怒的源智采纳,获得10
12秒前
李来仪发布了新的文献求助10
12秒前
wisteety发布了新的文献求助10
12秒前
刘老师完成签到 ,获得积分10
12秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527723
求助须知:如何正确求助?哪些是违规求助? 3107826
关于积分的说明 9286663
捐赠科研通 2805577
什么是DOI,文献DOI怎么找? 1539998
邀请新用户注册赠送积分活动 716878
科研通“疑难数据库(出版商)”最低求助积分说明 709762