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handle: 10261/239758
Magnetic nanoparticles can generate heat when exposed to an alternating magnetic field. Their heating efficacy is governed by their magnetic properties that are in turn determined by their composition, size and morphology. Thus far, iron oxides (e.g., magnetite, Fe3O4) have been the most popular materials in use, though recently bimagnetic core-shell structures are gaining ground. Herein we present a study on the effect of particle morphology on heating efficiency. More specifically, we use zero waste impact methods for the synthesis of metal/metal oxide Fe/Fe3O4 nanoparticles in both spherical and cubic shapes, which present an interesting venue for understanding how spin coupling across interfaces and also finite size effects may influence the magnetic response. We show that these particles can generate sufficient heat (hundreds of watts per gram) to drive hyperthermia applications, whereas faceted nanoparticles demonstrate superior heating capabilities than spherical nanoparticles of similar size.
Core-shell, magnetic nanoparticles, Sustainable synthesis techniques, hyperthermia, Chemistry, core-shell, Magnetic nanoparticles, Physical vapor deposition, Hyperthermia, sustainable synthesis techniques, spin-coupling, physical vapor deposition, QD1-999, Spin-coupling
Core-shell, magnetic nanoparticles, Sustainable synthesis techniques, hyperthermia, Chemistry, core-shell, Magnetic nanoparticles, Physical vapor deposition, Hyperthermia, sustainable synthesis techniques, spin-coupling, physical vapor deposition, QD1-999, Spin-coupling
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 15 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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