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New construction of Fe3O4/rGO/ZnSnO3 nanocomposites enhanced photoelectro chemical properties
The Surface modifications of Fe3O4/rGO/ZnSnO3 nanocomposites showed good dye degradation performance with Methylene blue dye under the halogen lamp (visible) 500 nm light source. The Fe3O4/rGO/ZnSnO3 composite was synthesized by in-situ method and characterized with techniques like XRD, Raman, morph...
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Published in: | Optical materials 2020-11, Vol.109, p.110353, Article 110353 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The Surface modifications of Fe3O4/rGO/ZnSnO3 nanocomposites showed good dye degradation performance with Methylene blue dye under the halogen lamp (visible) 500 nm light source. The Fe3O4/rGO/ZnSnO3 composite was synthesized by in-situ method and characterized with techniques like XRD, Raman, morphological studies and electrochemical sensing performance also investigated. The ternary composite showed remarking ability and an enhanced degradation with charge separation. The Fe3O4/rGO/ZnSnO3 nanocomposite materials enhanced the electrochemical sensing of uric acid for the modified electrode, this result are more satisfying. The electrochemical sensing and the photocatalytic properties of Fe3O4/rGO/ZnSnO3 nanocomposites are synergism owing to the amazing morphological results and diameter size of the materials. We conclude that the Fe3O4/rGO/ZnSnO3 composite shows 64% degradation at 1 h in the visible light. Fe3O4/rGO/ZnSnO3 modified electrodes have a diffusion-controlled process with the two-electron transfer for the sensing of uric acid.
•The Surface modifications of Fe3O4/rGO/ZnSnO3 nanocomposites.•The Fe3O4/rGO/ZnSnO3 composite was synthesized by the in-situ method.•Characterized for techniques like XRD, Raman, morphological studies.•Enhanced photocatalytic and electrochemical properties of Fe3O4/rGO/ZnSnO3 nanocomposites. |
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ISSN: | 0925-3467 1873-1252 |
DOI: | 10.1016/j.optmat.2020.110353 |