4.7 Article

Three-dimensional macroporous carbon/hierarchical CO3O4 nanoclusters for nonenzymatic electrochemical glucose sensor

Journal

APPLIED SURFACE SCIENCE
Volume 402, Issue -, Pages 47-52

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.apsusc.2017.01.062

Keywords

Three-dimensional porous carbon; Kenaf stem; Electrochemical nonenzymatic sensor; Glucose; Co3O4 nanoclusters

Funding

  1. National Natural Science Foundation of China [21465014, 21465015]
  2. Natural Science Foundation of Jiangxi Province [20143ACB21016]
  3. Ministry of Education by the Specialized Research Fund for the Doctoral Program of Higher Education [20133604110002]
  4. Ground Plan of Science and Technology Projects of Jiangxi Educational Committee [KJLD14023]

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A novel supporting material named as three-dimensional kenaf stem-derived carbon (3D-KSCs) was used to load hierarchical Co3O4 nanoclusters for electrochemical sensing glucose. The 3D-KSCs/hierarchical Co3O4 nanoclusters were constructed by two steps. Los of acicular precursor nanoclusters firstly grew on the channels of 3D-KSCs densely by hydrothermal method and then the as-prepared 3D-KSCs/hierarchical Co3O4 nanoclusters was obtained by thermal pyrolysis of the 3D-KSCs/precursors nanocomposites at 400 degrees C. The 3D macroporous configuration of 3D-KSCs resulted in lots of hierarchical Co3O4 nanoclusters arrayed on the surface of 3D-KSCs owing to its large enough specific surface area, which effectively avoided their aggregations and improved the stability of nanocomposites. The obtained 3D-KSCs/hierarchical Co3O4 nanoclusters showed a large number of needle-shaped and layered Co3O4 nanoclusters uniformly grew on the macropore's walls of 3D-KSC. Due to its unique nanostructures, the 3D-KSCs/hierarchical Co3O4 nanoclusters integrated electrode showed superior performance for nonenzymatic electrochemical glucose sensing, showing wide linear range (0.088-7.0 mM) and low detection limit of 26 mu M. It might be a new strategy to prepare nanostructures on 3D-KSC for future applications. (C) 2017 Elsevier B.V. All rights reserved.

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