Facile Fabrication of Hierarchical rGO/PANI@PtNi Nanocomposite via Microwave-Assisted Treatment for Non-Enzymatic Detection of Hydrogen Peroxide
| Autor: | Florian J. Stadler, Jia-Yi Yin, Amit Kumar, Gaurav Sharma, Fa-Gui He, Bing Du |
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| Rok vydání: | 2019 |
| Předmět: |
Materials science
Nanocomposite Graphene General Chemical Engineering Composite number Oxide Nanoparticle hydrogen peroxide Electrochemistry reduced graphene oxide Article polyaniline law.invention Catalysis lcsh:Chemistry chemistry.chemical_compound platinum–nickel nanoparticles Chemical engineering chemistry lcsh:QD1-999 law Polyaniline General Materials Science nonenzymatic detection |
| Zdroj: | Nanomaterials Nanomaterials, Vol 9, Iss 8, p 1109 (2019) Volume 9 Issue 8 |
| ISSN: | 2079-4991 |
| Popis: | A hierarchical composite based on the modified reduced graphene oxide with platinum-nickel decorated polyaniline nano-spheres (rGO/PANI@PtNi) was facilely prepared via microwave-assisted self-reduction for an application in nonenzymatic hydrogen peroxide (H2O2) detection. Compared to the pristine rGO, the composite exhibited a much tougher surface due to the stacking of conductive PANI nano-spheres on rGO sheets, leading to good dispersion of PtNi nanoparticles and a large active area. Furthermore, the multi-valance Ni2+/3+ in the PtNi particles effectively promoted the catalytic property of Pt sites and facilitated a superior electrochemical performance of PtNi alloy than that of neat Pt. Owing to the synergistic effect of the improved electrical conductivity and the promoted electrocatalytical property, the modified glassy carbon electrode (GCE) with rGO/PANI@PtNi nanocomposite displayed an outstanding electrochemical sensitivity towards H2O2 with a fast response time (< 2 s), a wide linear range (0.1&ndash 126.4 mM), a low detection limit (0.5 µ M), as well as a long-life stability for one week without obvious degradation. This novel strategy opens a novel and promising approach to design high performance sensors for H2O2 detection. |
| Databáze: | OpenAIRE |
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