A Novel Non-Enzymatic Glucose Sensor Based on CuO-Graphene Nanocomposites

被引:0
|
作者
Yu, Hong-Ying [2 ]
Xu, Miao-Qing [1 ]
Yu, Shu-Hong [1 ]
Zhao, Guang-Chao [1 ]
机构
[1] Anhui Normal Univ, Coll Environm Sci & Engn, Wuhu 241000, Peoples R China
[2] Wuhu Inst Technol, Dept Automat Control, Wuhu 241000, Peoples R China
来源
关键词
Graphene; Copper oxide nanoparticles; Glucose; Non-enzymatic sensor; CARBON NANOTUBES; METHANOL ELECTROOXIDATION; NANOPARTICLES; ELECTRODE; CATALYST; OXIDE; IMMOBILIZATION; PERFORMANCE; PLATINUM;
D O I
暂无
中图分类号
O646 [电化学、电解、磁化学];
学科分类号
081704 ;
摘要
Copper oxide (CuO) graphene nanocomposites were prepared by a one-step chemical procedure using copper acetate-adsorbed graphene oxide (GO) as precursors and their potential application in nonenzymatic glucose sensing were also evaluated. The morphology of the as-prepared nanocomposites was characterized by Scanning Electron Microscopy. The electrochemical performance of the CuO-graphene modified glassy carbon electrode for glucose sensing was investigated by cyclic voltammetry (CV) and amperometric I-t Curve. The CuO-graphene modified electrode shows good electrocatalytic activity toward the oxidation of glucose in 0.1M NaOH solution. The amperometric response current of glucose on the electrode is linear to the concentration of glucose in the range from 2.0x10(-6) to 5.0x10(-4) M with a low detection limit of 6.7x10(-7) M. The novel glucose sensor also exhibits good reproducibility, long-term stability, as well as no interference from L-ascorbic acid, uric acid, and dopamine.
引用
收藏
页码:8050 / 8057
页数:8
相关论文
共 50 条
  • [21] CuO/reduced graphene oxide nanocomposite for high performance non-enzymatic, cost effective glucose sensor
    Sahu V.
    Grover S.
    Sharma M.
    Pandey A.
    Singh G.
    Sharma R.K.
    Sensor Letters, 2016, 14 (11) : 1117 - 1122
  • [22] Novel Cu/CuO/ZnO hybrid hierarchical nanostructures for non-enzymatic glucose sensor application
    SoYoon, Shin
    Ramadoss, Ananthakumar
    Saravanakumar, Balasubramaniam
    Kim, Sang Jae
    JOURNAL OF ELECTROANALYTICAL CHEMISTRY, 2014, 717 : 90 - 95
  • [23] A novel non-enzymatic glucose sensor based on a Cu-nanoparticle-modified graphene edge nanoelectrode
    Jiang, Jingyun
    Zhang, Pu
    Liu, Yan
    Luo, Hongxia
    ANALYTICAL METHODS, 2017, 9 (14) : 2205 - 2210
  • [24] CuO nanoparticles supported on nitrogen and sulfur co-doped graphene nanocomposites for non-enzymatic glucose sensing
    Meixia Li
    Qingbin Guo
    Juan Xie
    Yongde Li
    Yapeng Feng
    Journal of Nanoparticle Research, 2017, 19
  • [25] CuO nanoparticles supported on nitrogen and sulfur co-doped graphene nanocomposites for non-enzymatic glucose sensing
    Li, Meixia
    Guo, Qingbin
    Xie, Juan
    Li, Yongde
    Feng, Yapeng
    JOURNAL OF NANOPARTICLE RESEARCH, 2016, 19 (01)
  • [26] Ultrasensitive non-enzymatic glucose sensor based on three-dimensional network of ZnO-CuO hierarchical nanocomposites by electrospinning
    Chunyang Zhou
    Lin Xu
    Jian Song
    Ruiqing Xing
    Sai Xu
    Dali Liu
    Hongwei Song
    Scientific Reports, 4
  • [27] Ultrasensitive non-enzymatic glucose sensor based on three-dimensional network of ZnO-CuO hierarchical nanocomposites by electrospinning
    Zhou, Chunyang
    Xu, Lin
    Song, Jian
    Xing, Ruiqing
    Xu, Sai
    Liu, Dali
    Song, Hongwei
    SCIENTIFIC REPORTS, 2014, 4
  • [28] Electrochemical non-enzymatic glucose sensors based on CuO nanostructures
    Yang, Jiahao
    Yin, Jing
    Xu, Lan
    JOURNAL OF ALLOYS AND COMPOUNDS, 2025, 1010
  • [29] Novel One Pot Synthesis of Alkaline-reduced Iron Oxide/graphene Nanocomposites for Amperometric Non-enzymatic Glucose Sensor
    Suyanta
    Yazid, Siti Nur Akmar Mohd
    Isa, Illyas Md
    Hashim, Norhayati
    Ahmad, Mohamad Syahrizal
    INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE, 2018, 13 (09): : 9200 - 9213
  • [30] An improved sensitivity non-enzymatic glucose sensor based on a CuO nanowire modified Cu electrode
    Zhuang, Zhenjing
    Su, Xiaodong
    Yuan, Hongyan
    Sun, Qun
    Xiao, Dan
    Choi, Martin M. F.
    ANALYST, 2008, 133 (01) : 126 - 132