In situ growth of FeOOH nanoparticles on physically-exfoliated graphene nanosheets as high performance H2O2 electrochemical sensor

石墨烯 材料科学 原位 电化学 纳米颗粒 纳米技术 化学工程 电极 化学 有机化学 工程类 物理化学
作者
Xuerong Chen,Juan Gao,Guoqian Zhao,Can Wu
出处
期刊:Sensors and Actuators B-chemical [Elsevier]
卷期号:313: 128038-128038 被引量:69
标识
DOI:10.1016/j.snb.2020.128038
摘要

Compared with extensively-used chemically-exfoliated graphene, physically-exfoliated graphene-based heterogeneous structures are rarely used for electrochemical analysis. In this work, physically-exfoliated graphene nanosheets (GN) are used as the substrate material to couple high-activity FeOOH nanoparticles. Multiple characterization technology confirm that a novel hierarchical hybrid composed of physically-exfoliated graphene nanosheets and FeOOH nanoparticles ([email protected]) is easily obtained by a facile solution growth strategy. Plenty of fiber-like FeOOH nanoparticles with size about 20 nm are uniformly anchored on the surface of graphene with robust adhesion. Relative to pristine GN, the electrochemical active area and electron transfer kinetics are greatly boosted for the introduction of high-activity of FeOOH nanoparticles. Benefiting from the remarkably enhanced electrochemical activity, the obtained [email protected] hybrids exhibit excellent electrochemical performance toward the reduction of H2O2. As a result, a novel and rapid electrochemical sensing platform for the detection of H2O2 at low applied potential (-0.25 V vs. SCE) is fabricated with wide linear range (0.25 μM - 1.2 mM) and high sensitivity (265.7 μA mM−1 cm-2), and the limit of detection is as low as 0.08 μM, which is comparable with many other noble metal-based electrochemical sensors and exceeds many non-noble metal-based electrochemical sensors.
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
lyjwghh完成签到,获得积分10
刚刚
刚刚
善学以致用应助魑魅魍魉采纳,获得10
刚刚
1秒前
hulibin1208发布了新的文献求助10
1秒前
郑郑发布了新的文献求助10
1秒前
夙杨完成签到,获得积分10
1秒前
2秒前
Binzhiqiang完成签到,获得积分10
3秒前
Camellia发布了新的文献求助10
3秒前
充电宝应助Bear采纳,获得10
3秒前
哈哈哈哈发布了新的文献求助10
3秒前
hhuajw完成签到,获得积分10
3秒前
高兴发箍发布了新的文献求助30
3秒前
科目三应助冷艳的孤晴采纳,获得10
3秒前
4秒前
完美世界应助以戈采纳,获得10
4秒前
5秒前
万能图书馆应助LDDD采纳,获得10
5秒前
5秒前
计伟完成签到,获得积分10
5秒前
暴躁的小蘑菇完成签到,获得积分10
6秒前
6秒前
事在人为发布了新的文献求助10
6秒前
wenxian完成签到,获得积分20
6秒前
CipherSage应助羽流采纳,获得10
6秒前
7秒前
月yue发布了新的文献求助10
8秒前
丘比特应助亢kxh采纳,获得10
8秒前
你再说一遍完成签到,获得积分20
8秒前
hulibin1208完成签到,获得积分10
8秒前
科目三应助aaqqz采纳,获得10
9秒前
9秒前
9秒前
ren发布了新的文献求助10
9秒前
CodeCraft应助科研通管家采纳,获得10
9秒前
打打应助科研通管家采纳,获得10
10秒前
在水一方应助包容的剑采纳,获得10
10秒前
脑洞疼应助科研通管家采纳,获得10
10秒前
情怀应助科研通管家采纳,获得10
10秒前
高分求助中
Continuum Thermodynamics and Material Modelling 4000
Production Logging: Theoretical and Interpretive Elements 2700
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
El viaje de una vida: Memorias de María Lecea 800
Theory of Block Polymer Self-Assembly 750
Luis Lacasa - Sobre esto y aquello 700
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 3513930
求助须知:如何正确求助?哪些是违规求助? 3096253
关于积分的说明 9230934
捐赠科研通 2791392
什么是DOI,文献DOI怎么找? 1531785
邀请新用户注册赠送积分活动 711625
科研通“疑难数据库(出版商)”最低求助积分说明 706929