Suppr超能文献

一种基于室温剥离石墨衍生膜修饰树枝状铜的高灵敏度电化学葡萄糖传感器。

A Highly Sensitive Electrochemical Glucose Sensor Based on Room Temperature Exfoliated Graphite-Derived Film Decorated with Dendritic Copper.

作者信息

Tang Jiaxin, Wei Luo, He Shuaijie, Li Jihui, Nan Ding, Ma Liqiang, Shen Wanci, Kang Feiyu, Lv Ruitao, Huang Zhenghong

机构信息

State Key Laboratory of New Ceramics and Fine Processing, School of Materials Science and Engineering, Tsinghua University, Beijing 100084, China.

School of Chemical & Environmental Engineering, China University of Mining & Technology (Beijing), Beijing 100083, China.

出版信息

Materials (Basel). 2021 Sep 4;14(17):5067. doi: 10.3390/ma14175067.

Abstract

An ultrasensitive enzyme-free glucose sensor was facilely prepared by electrodepositing three-dimensional dendritic Cu on a room temperature exfoliated graphite-derived film (RTEG-F). An excellent electrocatalytic performance was demonstrated for glucose by using Cu/RTEG-F as an electrode. In terms of the high conductivity of RTEG-F and the good catalytic activity of the dendritic Cu structures, the sensor demonstrates high sensitivities of 23.237 mA/mM/cm, R = 0.990, and 10.098 mA/mM/cm, R = 0.999, corresponding to the concentration of glucose ranging from 0.025 mM to 1.0 mM and 1.0 mM to 2.7 mM, respectively, and the detection limit is 0.68 μM. In addition, the Cu/RTEG-F electrode demonstrates excellent anti-interference to interfering species and a high stability. Our work provides a new idea for the preparation of high-performance electrochemical enzyme-free glucose sensor.

摘要

通过在室温剥离石墨衍生膜(RTEG-F)上电沉积三维树枝状铜,简便地制备了一种超灵敏的无酶葡萄糖传感器。以Cu/RTEG-F作为电极,对葡萄糖表现出优异的电催化性能。鉴于RTEG-F的高导电性和树枝状铜结构的良好催化活性,该传感器分别对应于0.025 mM至1.0 mM和1.0 mM至2.7 mM的葡萄糖浓度,展现出23.237 mA/mM/cm、R = 0.990以及10.098 mA/mM/cm、R = 0.999的高灵敏度,检测限为0.68 μM。此外,Cu/RTEG-F电极对干扰物质表现出优异的抗干扰能力和高稳定性。我们的工作为制备高性能电化学无酶葡萄糖传感器提供了新思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5848/8433722/7d7643631f1e/materials-14-05067-sch001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验