
Modified Structural and Magnetic Properties of Ni-Mn-Zn Ferrite Nanoparticles Doped with Ce3+Ions
Author(s) -
Vikram More,
Supriya Kadam,
Satish B. Shelke,
Pravin Gaikwad,
R.H. Kadam,
S. T. Alone
Publication year - 2021
Publication title -
biointerface research in applied chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.216
H-Index - 11
ISSN - 2069-5837
DOI - 10.33263/briac124.50215030
Subject(s) - materials science , analytical chemistry (journal) , spinel , rietveld refinement , crystallite , ferrite (magnet) , scanning electron microscope , dielectric , ion , lattice constant , nanocrystalline material , diffraction , crystal structure , crystallography , chemistry , nanotechnology , metallurgy , optics , physics , optoelectronics , organic chemistry , chromatography , composite material
Polycrystalline Ni-Mn-Zn nano-ferrites doped by the fractional amount of Ce3+ ions were fabricated using the sol-gel method. Characterizations of the as-prepared samples were performed by using X-ray diffraction (XRD), scanning electron microscopy (SEM), energy dispersive X-ray analysis (EDAX), vibrating sample magnetometer (VSM), and dielectric measurements. Rietveld refined XRD patterns revealed the single-phase cubic spinel structure of the samples corresponds to the space group Fd-3m. Minor shifting of peak positions towards lower diffraction angles increases lattice parameter from 8.4105 to 8.4193 Å with the addition of Ce3+ ions. , The surface morphology and homogeneity of the samples were investigated by using SEM and EDAX spectra. Grain size obtained from SEM analysis is found in the range 29 nm to 33 nm with negligible agglomeration. Analysis of EDAX spectra confirms the stoichiometric proportion of the constituents. Substitution of Ce3+ ions shows typical ferromagnetic curves with enhanced saturation magnetization and magneton number from 54 to 63 emu/gm and 2.71 to 3.09 B respectively. Dielectric measurements of the entire samples show the typical behavior of spinel ferrite. The results predict that the samples are best suitable for high-frequency region applications.