Ultra-sensitive detection of multiplexed heavy metal ions by MOF-derived carbon film encapsulating BiCu alloy nanoparticles in potable electrochemical sensing system

电化学 化学 纳米颗粒 水溶液中的金属离子 检出限 纳米技术 电极 解吸 吸附 化学工程 材料科学 金属 有机化学 色谱法 工程类 物理化学
作者
Hongyao Yin,Hu He,Tang Li,Min Hu,Wei Huang,Zhanpeng Wang,Xuan Yang,Wei Yao,Fei Xiao,Yunli Wu,Yimin Sun
出处
期刊:Analytica Chimica Acta [Elsevier BV]
卷期号:1239: 340730-340730 被引量:48
标识
DOI:10.1016/j.aca.2022.340730
摘要

In this work, we report the development of a new type of highly active and stable Bi-based electrode material, i.e., BiCu metal-organic frames (MOF) derived carbon film (CF) encapsulating BiCu alloy nanoparticles (BiCu-ANPs) for electrochemical sensing. The integration of Bi with Cu to form BiCu-ANPs can improve their electrocatalytic activity as well as the acid resistance. Meanwhile, the carbon film that encapsulates BiCu-ANPs not only guarantees the BiCu-ANPs with high electrical conductivity and fast electrochemical kinetics but also effectively alleviates the volume change during the adsorption and desorption of heavy metal (HM) ions. Therefore, the as-obtained CF encapsulating BiCu-ANPs (BiCu-ANPs@CF) exhibits fully exposed active sites, facile charge transfer, high stability and conductivity, which gives rise to enhanced sensitivity and stability for the electrochemical detection of HM ions. When integrated into a potable electrochemical sensing system for simultaneous detection of Pb2+, Cd2+ and Zn2+, the BiCu-ANPs@CF modified electrode exhibits low detection limit (i.e., 0.081 ppb for Pb2+, 0.95 ppb for Cd2+, 35 ppb for Zn2+), wide detection range (i.e., 0.5-700 ppb for Pb2+, 5-900 ppb for Cd2+, 150-600 ppb for Zn2+) and good anti-interference. Finally, the system has been used for on-site detection of multiplexed HM ions in human biological liquids and environmental water with a good spiked recovery rate, which demanstrates its promise application in the future for on-site monitoring of human health and pollutants in water quality.
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
Moonpie发布了新的文献求助10
1秒前
1秒前
1秒前
英姑应助爱猫的纭采纳,获得10
2秒前
3秒前
一叶知秋完成签到,获得积分10
3秒前
4秒前
Akim应助别叫我吃饭饭饭采纳,获得10
4秒前
4秒前
5秒前
6秒前
6秒前
6秒前
坐山一只雕完成签到 ,获得积分10
6秒前
xuan发布了新的文献求助10
7秒前
FashionBoy应助YYM采纳,获得10
7秒前
7秒前
小马甲应助carza采纳,获得10
7秒前
张欢馨应助隐形的半芹采纳,获得10
8秒前
晨曦发布了新的文献求助10
8秒前
8秒前
NexusExplorer应助六六采纳,获得10
9秒前
9秒前
10秒前
上官若男应助科研通管家采纳,获得10
10秒前
田様应助科研通管家采纳,获得10
10秒前
10秒前
123完成签到,获得积分10
11秒前
天天快乐应助科研通管家采纳,获得30
11秒前
FashionBoy应助科研通管家采纳,获得30
11秒前
lixinglei应助科研通管家采纳,获得20
11秒前
布鲁塞尔土豆完成签到,获得积分10
11秒前
香蕉觅云应助科研通管家采纳,获得50
11秒前
Orange应助科研通管家采纳,获得10
11秒前
11秒前
Akim应助自然的书易采纳,获得10
11秒前
慕青应助科研通管家采纳,获得10
12秒前
12秒前
大模型应助科研通管家采纳,获得10
12秒前
共享精神应助科研通管家采纳,获得10
12秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7581876
求助须知:如何正确求助?哪些是违规求助? 9160885
关于积分的说明 19601027
捐赠科研通 7164113
什么是DOI,文献DOI怎么找? 3266010
关于科研通互助平台的介绍 2430947
邀请新用户注册赠送积分活动 2257208