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Hydrogen Peroxide Detection by Super-Porous Hybrid CuO/Pt NP Platform: Improved Sensitivity and Selectivity
- Source :
- Nanomaterials, Volume 10, Issue 10, Nanomaterials, Vol 10, Iss 2034, p 2034 (2020)
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- A super-porous hybrid platform can offer significantly increased number of reaction sites for the analytes and thus can offer advantages in the biosensor applications. In this work, a significantly improved sensitivity and selectivity of hydrogen peroxide (H2O2) detection is demonstrated by a super-porous hybrid CuO/Pt nanoparticle (NP) platform on Si substrate as the first demonstration. The super-porous hybrid platform is fabricated by a physiochemical approach combining the physical vapor deposition of Pt NPs and electrochemical deposition of super-porous CuO structures by adopting a dynamic hydrogen bubble technique. Under an optimized condition, the hybrid CuO/Pt biosensor demonstrates a very high sensitivity of 2,205 &micro<br />A/mM∙cm2 and a low limit of detection (LOD) of 140 nM with a wide detection range of H2O2. This is meaningfully improved performance as compared to the previously reported CuO-based H2O2 sensors as well as to the other metal oxide-based H2O2 sensors. The hybrid CuO/Pt platform exhibits an excellent selectivity against other interfering molecules such as glucose, fructose, dopamine, sodium chloride and ascorbic acid. Due to the synergetic effect of highly porous CuO structures and underlying Pt NPs, the CuO/Pt architecture offers extremely abundant active sites for the H2O2 reduction and electron transfer pathways.
- Subjects :
- Materials science
General Chemical Engineering
dynamic hydrogen bubble technique
H2O2 detection
Oxide
Nanoparticle
02 engineering and technology
010402 general chemistry
Electrochemistry
01 natural sciences
Article
lcsh:Chemistry
chemistry.chemical_compound
biosensor kit
General Materials Science
Hydrogen peroxide
Detection limit
super-porous CuO/Pt electrode
021001 nanoscience & nanotechnology
Ascorbic acid
0104 chemical sciences
lcsh:QD1-999
Chemical engineering
chemistry
0210 nano-technology
Selectivity
Biosensor
biomaterials
Subjects
Details
- ISSN :
- 20794991
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- Nanomaterials
- Accession number :
- edsair.doi.dedup.....60be69524268d3cb31e72c257c4f9c13
- Full Text :
- https://doi.org/10.3390/nano10102034