Portable electrochemical sensor for adrenaline detection using CoNi-MOF-based CS-PAM hydrogel

电化学 电化学气体传感器 材料科学 化学 纳米技术 化学工程 电极 工程类 物理化学
作者
Junyan Liu,Guorong Sun,Wang Sun,Xiaoqian Zha,Na Wang,Yang Wang
出处
期刊:Journal of Colloid and Interface Science [Elsevier]
卷期号:671: 423-433 被引量:32
标识
DOI:10.1016/j.jcis.2024.05.195
摘要

The development of a portable smartphone-based electrochemical sensor for analyzing adrenaline levels in real samples can make a great contribution to the research community worldwide. In order to achieve this goal, the key challenge is to build sensing interfaces with excellent electrocatalytic properties. In this work, microspherical bimetallic metal–organic frameworks (CoNi-MOF) consisting of nanoclusters were first synthesized using a hydrothermal method. On this basis, the catalytic activity of pure chitosan-polyacrylamide hydrogel (CS-PAM) was modulated by adding different amounts of CoNi-MOF during the in-situ synthesis of CS-PAM. Finally, a portable electrochemical detection system based on CS-PAM was established for the detection of adrenaline. A series of resulting composite hydrogels with a large specific surface area, abundant active sites, and unique network structure facilitate the enrichment and catalysis of adrenaline molecules. Under optimal conditions, the analytical platform constructed by using CoNi-MOF-based CS-PAM has the advantages of a wide detection range (0.5–10 and 10–2500 μM), a low detection limit (0.167 μM), and high sensitivity (0.182 and 0.133 μA·μM·cm−2). In addition, the sensor maintains selective detection of the target in the presence of many different types of interferences, and the current response is not significantly reduced even after 60 cycles of testing. We strongly believe that the designed smart portable sensing can realize the accurate determination of adrenaline in complex systems, and this study can provide new ideas for the research of MOFs-based hydrogels in electrochemical analysis.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
zychaos发布了新的文献求助10
刚刚
刚刚
HAL完成签到,获得积分10
刚刚
黄文洁发布了新的文献求助10
1秒前
1秒前
所所应助烂漫笑晴采纳,获得10
2秒前
天才罗发布了新的文献求助10
2秒前
完美世界应助dd采纳,获得10
2秒前
2秒前
斯文友琴完成签到,获得积分10
3秒前
情怀应助陈某某采纳,获得10
3秒前
Owen应助yun采纳,获得10
4秒前
4秒前
11111发布了新的文献求助30
4秒前
4秒前
4秒前
5秒前
backerly完成签到,获得积分10
5秒前
5秒前
科研汪完成签到,获得积分10
5秒前
无敌小恐龙完成签到 ,获得积分10
6秒前
YYX完成签到,获得积分10
6秒前
科研通AI6应助寇博翔采纳,获得10
7秒前
Akim应助汉堡肉采纳,获得10
7秒前
量子星尘发布了新的文献求助10
7秒前
yin发布了新的文献求助10
7秒前
篮球鞋发布了新的文献求助10
7秒前
刘指导完成签到,获得积分10
7秒前
周奕迅发布了新的文献求助10
8秒前
lz发布了新的文献求助10
8秒前
8秒前
ggg完成签到,获得积分10
8秒前
zychaos完成签到,获得积分10
9秒前
Sherwin完成签到,获得积分10
9秒前
oio778发布了新的文献求助10
9秒前
9秒前
9秒前
悦耳从彤完成签到,获得积分10
9秒前
Lucas应助善良的凡旋采纳,获得10
10秒前
moon完成签到,获得积分10
10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
List of 1,091 Public Pension Profiles by Region 1561
Binary Alloy Phase Diagrams, 2nd Edition 1200
Holistic Discourse Analysis 600
Atlas of Liver Pathology: A Pattern-Based Approach 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
Using Genomics to Understand How Invaders May Adapt: A Marine Perspective 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5505532
求助须知:如何正确求助?哪些是违规求助? 4601172
关于积分的说明 14475722
捐赠科研通 4535228
什么是DOI,文献DOI怎么找? 2485237
邀请新用户注册赠送积分活动 1468262
关于科研通互助平台的介绍 1440718