Loading…
Three-dimensional carbon foam supported NiO nanosheets as non-enzymatic electrochemical H2O2 sensors
[Display omitted] •In-situ decorating NiO nanosheets on 3D carbon foam (3DCF).•Controlling NiO nanosheet morphology by simply tuning reaction temperature and time.•Excellent H2O2 detection performance with low detection of limit and wide linear range.•Synergetic effect of 3DCF’s micron-level pore st...
Saved in:
Published in: | Applied surface science 2021-03, Vol.542, p.148699, Article 148699 |
---|---|
Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | [Display omitted]
•In-situ decorating NiO nanosheets on 3D carbon foam (3DCF).•Controlling NiO nanosheet morphology by simply tuning reaction temperature and time.•Excellent H2O2 detection performance with low detection of limit and wide linear range.•Synergetic effect of 3DCF’s micron-level pore structure and NiO nanosheets.
In this work, we successfully in situ fabricated two-dimensional (2D) nickel oxide nanosheets (NiO-NSs) uniformly grown on a three-dimensional (3D) carbon foam (CF) network by using a facile solvothermal reaction assisted with a subsequent annealing procedure. The nanoporous NiO nanosheet structures can be size-controlled by simply tuning the reaction temperature and time (90 °C for 10 and 20 h, 120 °C for 10 h, 180 °C for 1 h). Among the studied composites, the obtained NiO-NSs/CF-1801 modified electrode exhibited the highest performance for non-enzymatic detecting H2O2. It showed the lowest limit of detection (LOD = 13.03 nM) and the largest linear detection range (0.20–3.75 mM) with a sensitivity of 23.30 μA mM−1 cm−2. This excellent performance is due to the synergetic effect of 3D micron-level porous structure of carbon foam and the in-situ uniformly growth of NiO nanosheets. The present results demonstrate that NiO-NSs/CF is a promising sensing candidate for quantitative electrochemical detecting H2O2. |
---|---|
ISSN: | 0169-4332 1873-5584 |
DOI: | 10.1016/j.apsusc.2020.148699 |