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.

Automated summary

In this study, MgFe2O4 nanoparticles with different Mg/Fe molar ratios were synthesized using the sol-gel method. The Support Vector Regression model was applied for the first time to predict the synthesis process. XRD and TEM analysis confirmed that heat-treated nanoparticles with a Mg/Fe ratio of 0.75 at 700°C exhibited an inverse spinel structure, corresponding to the pure magnesium ferrite phase. The use of the SVR predictive model facilitated the efficient synthesis of pure magnesium ferrite phase with experimental validation.