journal article·2021-03

Influence of Cr and Fe doping on the structure, magnetic and optical properties of nano CuCo2O4

Zein K. Heiba, Noura M. Farag, A.M. El-naggar, Jasper R. Plaisier, A.M. Aldhafiri, Mohamed Bakr Mohamed

Ceramics International· Volume 47· Issue 6
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Abstract

Abstract Nano CuCo2-xMxO4 (x = 0, 0.1, 0.2, M = Cr or Fe) samples were synthesized by hydrothermal method. Synchrotron x-ray diffraction data obtained for the samples were subjected to phase analysis and manifested a single-phase cubic spinel structure for Cr-doped samples, while for Fe-doped samples two phases were identified. Cation distribution and cell parameter (a) were obtained from Rietveld X-ray diffraction analysis. FTIR analysis affirmed the formation of the cubic spinel and the cation distribution obtained. The nano nature of the samples and the particle morphology were examined by high-resolution transmission electron microscope (HRTEM) with selected area electron diffraction (SAED). UV-diffuse reflectance revealed that all samples have two optical energy gaps. For all Fe doped samples, the optical band gaps decreased, while for Cr-content x = 0.1 the bandgaps increased then reduced for x = 0.2. Doped samples exhibited a blue or red shift depending on the kind and amount of the dopant ions. The PL intensity and the emitted colors depended on the kind and amount of the dopant ions. Magnetic measurements disclosed the paramagnetic nature of CuCo2O4, while a weak ferromagnetic is revealed for CuCo2-xCrxO4 and a ferromagnetic nature for CuCo2-xFexO4. Lowering the bandgap upon doping could make better mobility of lattice oxygen and enhancing the catalyst reducibility. Thus, the Cr and Fe-doped samples are expected to have better catalytic activity than the pristine one.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Transition Metal Oxide Nanomaterials · Magnetic Properties and Synthesis of Ferrites · Copper-based nanomaterials and applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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