重要提醒:2025.12.15 12:00-12:50期间发布的求助,下载出现了问题,现在已经修复完毕,请重新下载即可。如非文件错误,请不要进行驳回。

Multifunctional MOF-5/Reduced Graphene Oxide Electrodes for Enhanced Nonenzymatic Glucose Detection and Supercapacitor Performance in Self-Powered Wearable Devices

超级电容器 石墨烯 可穿戴计算机 电极 材料科学 氧化物 纳米技术 可穿戴技术 电容 计算机科学 化学 嵌入式系统 物理化学 冶金
作者
Blessy Rebecca Paul Nagarajan,D. Durgalakshmi,S. Balakumar,R. Ajay Rakkesh
出处
期刊:ACS applied nano materials [American Chemical Society]
卷期号:7 (20): 23999-24012 被引量:3
标识
DOI:10.1021/acsanm.4c04559
摘要

The increasing demand for durable energy sources in wearable health-tracking devices has driven the development of self-powered sensing technologies. Recent advancements focus on multifunctional materials to enhance these systems' performance. Metal–organic frameworks (MOFs) are attracting significant attention as electrode components for electrochemical sensors and energy storage systems due to their high surface area, electrocatalytic activity, and compatibility with biological systems. This study explores the growth of a zinc-based MOF (MOF-5) and its nanocomposite with reduced graphene oxide (rGO), evaluating their effectiveness as nonenzymatic glucose sensors and supercapacitors. The integration of MOF-5 with rGO through the emergence of active sites leverages synergistic effects, producing a hybrid electrode with exceptional glucose-sensing capabilities. The MOF-5/rGO nanocomposite exhibits a sensitivity of 5693.4 μA mM–1 cm–2 and a low detection limit of 0.7 μM within a glucose concentration range of 0.005–5 mM. Additionally, the nanocomposite shows impressive supercapacitive performance, with a specific capacitance of 334 F g–1 at a current density of 1 A g–1. A prototype based on the MOF-5/rGO nanocomposite was developed to assess its potential as a self-powered glucose sensor. Overall, the MOF-5/rGO nanocomposite demonstrates significant promise for simultaneously detecting glucose and efficiently storing energy.
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
风清扬发布了新的文献求助10
1秒前
有机菜花发布了新的文献求助10
1秒前
jingjing完成签到,获得积分20
1秒前
Zhaoyuemeng完成签到 ,获得积分10
1秒前
2秒前
爆米花应助昭奚采纳,获得30
2秒前
orixero应助科研小白采纳,获得10
2秒前
3秒前
zxy完成签到,获得积分10
3秒前
5秒前
Sunny发布了新的文献求助30
5秒前
科研通AI6应助Carly采纳,获得10
5秒前
yznfly应助昏睡的蟠桃采纳,获得50
5秒前
5秒前
6秒前
6秒前
大个应助Zz采纳,获得10
7秒前
7秒前
8秒前
牛马研究生完成签到,获得积分10
9秒前
碧蓝贞发布了新的文献求助10
9秒前
尼仲星完成签到 ,获得积分10
10秒前
zhaoh发布了新的文献求助10
10秒前
11秒前
脑洞疼应助陌上花开采纳,获得50
11秒前
11秒前
在水一方应助俊逸半山采纳,获得10
11秒前
11秒前
12秒前
12秒前
风趣青槐发布了新的文献求助10
12秒前
12秒前
lyq1106发布了新的文献求助10
12秒前
顺心纸鹤发布了新的文献求助10
13秒前
14秒前
15秒前
321123发布了新的文献求助10
15秒前
量子星尘发布了新的文献求助10
16秒前
16秒前
jingjing发布了新的文献求助10
17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 1001
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
Virus-like particles empower RNAi for effective control of a Coleopteran pest 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 5467656
求助须知:如何正确求助?哪些是违规求助? 4571307
关于积分的说明 14329661
捐赠科研通 4497890
什么是DOI,文献DOI怎么找? 2464141
邀请新用户注册赠送积分活动 1452961
关于科研通互助平台的介绍 1427673