Influence of the hierarchical architecture of multi-core iron oxide nanoflowers on their magnetic properties.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
07 Apr 2023
Historique:
received: 17 01 2023
accepted: 09 03 2023
medline: 8 4 2023
entrez: 7 4 2023
pubmed: 8 4 2023
Statut: epublish

Résumé

Magnetic properties of superparamagnetic iron oxide nanoparticles are controlled mainly by their particle size and by their particle size distribution. Magnetic properties of multi-core iron oxide nanoparticles, often called iron oxide nanoflowers (IONFs), are additionally affected by the interaction of magnetic moments between neighboring cores. The knowledge about the hierarchical structure of IONFs is therefore essential for understanding the magnetic properties of IONFs. In this contribution, the architecture of multi-core IONFs was investigated using correlative multiscale transmission electron microscopy (TEM), X-ray diffraction and dynamic light scattering. The multiscale TEM measurements comprised low-resolution and high-resolution imaging as well as geometric phase analysis. The IONFs contained maghemite with the average chemical composition [Formula: see text]-Fe[Formula: see text]O[Formula: see text]. The metallic vacancies located on the octahedral lattice sites of the spinel ferrite structure were partially ordered. Individual IONFs consisted of several cores showing frequently a specific crystallographic orientation relationship between direct neighbors. This oriented attachment may facilitate the magnetic alignment within the cores. Individual cores were composed of partially coherent nanocrystals having almost the same crystallographic orientation. The sizes of individual constituents revealed by the microstructure analysis were correlated with the magnetic particle sizes that were obtained from fitting the measured magnetization curve by the Langevin function.

Identifiants

pubmed: 37029132
doi: 10.1038/s41598-023-31294-4
pii: 10.1038/s41598-023-31294-4
pmc: PMC10082203
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

5673

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : 313858392
Organisme : Deutsche Forschungsgemeinschaft
ID : 382121967
Organisme : Deutsche Forschungsgemeinschaft
ID : 382121967
Organisme : Deutsche Forschungsgemeinschaft
ID : 382121967
Organisme : Deutsche Forschungsgemeinschaft
ID : 313858392

Informations de copyright

© 2023. The Author(s).

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Auteurs

Stefan Neumann (S)

Institute of Materials Science, TU Bergakademie Freiberg, 09599, Freiberg, Germany. St.Neumann@iww.tu-freiberg.de.

Laura Kuger (L)

Institute of Functional Interfaces, Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany.

Carsten-Rene Arlt (CR)

Institute of Functional Interfaces, Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany.

Matthias Franzreb (M)

Institute of Functional Interfaces, Karlsruhe Institute of Technology, 76344, Eggenstein-Leopoldshafen, Germany.

David Rafaja (D)

Institute of Materials Science, TU Bergakademie Freiberg, 09599, Freiberg, Germany.

Classifications MeSH