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Synthesis of pure MgFe2O4 nanoparticles: an intelligent prediction approach and experimental validation
In this study, M g F e 2 O 4 nanoparticles with different M g / F e 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 (...
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Published in: | Journal of sol-gel science and technology 2023-09, Vol.107 (3), p.620-628 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In this study,
M
g
F
e
2
O
4
nanoparticles with different
M
g
/
F
e
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
M
g
/
F
e
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.
Graphical Abstract
Highlights
SVR is applied as a model prediction for pure
MgFe
2
O
4
nanoparticles.
Synthesis leads to magnesium ferrite nanoparticles without additional phases.
Structural characterization of magnesium ferrite nanoparticles by X-Ray diffraction.
The potential application of
MgFe
2
O
4
nanoparticles focuses on biomedical industry. |
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ISSN: | 0928-0707 1573-4846 |
DOI: | 10.1007/s10971-023-06168-w |