Structure · dataset · 2018
Enhancing the Supercapacitive and Superparamagnetic Performances of Iron Oxide Nanoparticles through Yttrium Cations Electro-chemical Doping
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A one-pot electrosynthesis platform is reported for fabrication of Y3+ doped iron oxide nanoparticles (Y-IONPs).
Description
In this procedure, Y-IONPs are electro-deposited from an additive-free aqueous solution of iron(III) nitrate, iron(II) chloride and yttrium chloride. The analysis data provided by X-ray diffraction (XRD), field emission electron microscopy (FE-SEM) and energy-dispersive X-ray (EDX) confirmed that the deposited Y-IONPs sample is composed of magnetite nanoparticles (size≈20nm) doped with about 10wt% Y3+ cations.
The performance of the prepared Y-IONPs as supercapacitor electrode material was studied using cyclic voltammetry (CV) and galvanostat charge-discharge (GCD) tests. The obtained electrochemical data showed that Y-IONPs provide SCs as high as 190.3 and 138.9 F g−1 at the discharge loads of 0.25 and 1 A g−1, respectively, and capacity retentions of 95.9% and 88.5% after 2000 GCD cycling. Furthermore, the results of vibrating sample magnetometer measurements confirmed better superparamagnetic behavior of Y-IONPs (Mr=0.32 emu g-1 and HCi= 6.31 G) as compared with pure IONPs (Mr=0.95 emu g-1 and HCi= 14.62 G) resulting from their lower Mr and Hci values.
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Based on the obtained results, the developed electro-synthesis method was introduced as a facile procedure for the preparation of high performance metal ion doped magnetite nanoparticles.
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- Repository landing page scielo.figshare.com/articles/Enhancing_the_Supercapacitive_and_Superparamagnetic_P… ↗
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- DOI doi.org/10.6084/m9.figshare.6802460.v1 ↗
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Documentation and papers
- Creative Commons Attribution 4.0 International creativecommons.org/licenses/by/4.0/legalcode ↗
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- IsSupplementTo 10.1590/1980-5373-mr-2018-0094 doi.org/10.1590/1980-5373-mr-2018-0094 ↗
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- DataCite API api.datacite.org/dois/10.6084/m9.figshare.6802460.v1 ↗
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Topics
- Stated by source
- Chemical engineering · Materials engineering
- Inferred from text
- Microscopy 75%
Related
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.6802460.v1 | 14 d ago | JSON v1 |
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| concepts[field].fos:chemical-engineering | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:materials-engineering | source · DataCite | connector:datacite@1.0.0 | |
| concepts[modality].local:modality:microscopy | enrichment · DataCite | keyword-concept-rules@1.0.0 | title+description (75%) |
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