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Abstract

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 700oC 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.

Highlights

SVR is applied as a model prediction for pure MgFe2O4 nanoparticles.

Synthesis leads to magnesium ferrite nanoparticles without additional phases.

Structural characterization of magnesium ferrite nanoparticles by X-Ray diffraction.

The potential application of MgFe2O4 nanoparticles focuses on biomedical industry.

Details

Title
Synthesis of pure MgFe2O4 nanoparticles: an intelligent prediction approach and experimental validation
Author
Reséndiz-Hernández, Perla J. 1 ; de Hoyos-Sifuentes, Diego H. 1 ; Reséndiz-Flores, Edgar O. 1   VIAFID ORCID Logo  ; Ochoa-Palacios, Rocio M. 1 ; Altamirano-Guerrero, Gerardo 1 

 Tecnológico Nacional de México/IT Saltillo, División de Estudios de Posgrado e Investigación, Saltillo, Mexico 
Pages
620-628
Publication year
2023
Publication date
Sep 2023
Publisher
Springer Nature B.V.
ISSN
09280707
e-ISSN
15734846
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2847153267
Copyright
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.