Synthesis of pure MgFe2O4 nanoparticles: an intelligent prediction approach and experimental validation

In this study, MgFe2O4 nanoparticles with different Mg/Fe molar ratios were synthesized by a sol-gel (Pechini) method and a Support Vector Regression (SVR) as a predictive model has been used in this context for the first time. X-ray diffraction (XRD) and transmission electron microscopy (TEM) were used to characterize the nanoparticles synthesized using this methodology. According to the results obtained by XRD, nanoparticles with a Mg/Fe ratio of 0.75 heat-treated at 700(o)C have an inverse spinel structure, which corresponds to the pure magnesium ferrite phase. The use of the SVR predictive model allowed the efficient synthesis of a pure magnesium ferrite phase, providing data that could be experimentally validated to obtain a pure phase without additional phases.