Structure and magnetic state of hydrothermally prepared Mn-Zn ferrite nanoparticles

Magnetic behaviour of nanoparticles deviates from their bulk equivalents not only due to finite-size and surface effects but it may be also affected by occurrence of metastable states, such as non-equilibrium cation distribution. The chemical composition along with the specific cation distribution are decisive for magnetic properties of spinel ferrites, the nanoparticles of which can be easily tailored to exhibit peculiar properties suitable for various applications. The present study is devoted to hydrothermally prepared Mn-Zn ferrite nanoparticles; namely to five samples with approximate composition Mn1-xZnxFe2O4, where x = 0.21-0.63, that were prepared by a surfactant-free hydrothermal procedure at a rather low temperature of 180 degrees C. XRD measurements evidenced the cubic spinel structure and a gradual decrease of the mean crystallite size from 14 to 10 nm with increasing zinc content, which was further confirmed by TEM analysis. Fe-57 Mossbauer spectroscopy and temperature-variable magnetic measurements provided valuable insight into the blocking behaviour of particles on two dramatically different time scales and demonstrated that Neel relaxation can be enhanced by increasing the zinc content. Nanoparticles of the selected composition Mn0.62Zn0.41Fe1.97O4 were subjected to neutron diffraction study at 2 K to determine the ferrimagnetic order and in combination with Mossbauer spectroscopy to analyse the cation distribution. The non-zero occupancy of Zn2+ in octahedral sites evidenced a metastable distribution, and the supplemental DFT study revealed that the distribution of Mn2+ is non-equilibrium as well. (C) 2021 Elsevier B.V. All rights reserved.

Automated summary

The study focuses on hydrothermally prepared Mn-Zn ferrite nanoparticles, exploring the effects of cation distribution on magnetic properties. Various techniques including XRD, TEM, Fe-57 Mossbauer spectroscopy, and temperature-variable magnetic measurements were employed to analyze the characteristics of the nanoparticles.