The Boundary Between Volume and Surface-Driven Magnetic Properties in Spinel Iron Oxide Nanoparticles.

Exchange bias Ferrites Nanomagnetism Nanoparticles Surface properties

Journal

Nanoscale research letters
ISSN: 1931-7573
Titre abrégé: Nanoscale Res Lett
Pays: United States
ID NLM: 101279750

Informations de publication

Date de publication:
11 Oct 2022
Historique:
received: 14 07 2022
accepted: 02 10 2022
entrez: 11 10 2022
pubmed: 12 10 2022
medline: 12 10 2022
Statut: epublish

Résumé

Despite modern preparation techniques offer the opportunity to tailor the composition, size, and shape of magnetic nanoparticles, understanding and hence controlling the magnetic properties of such entities remains a challenging task, due to the complex interplay between the volume-related properties and the phenomena occurring at the particle's surface. The present work investigates spinel iron oxide nanoparticles as a model system to quantitatively analyze the crossover between the bulk and the surface-dominated magnetic regimes. The magnetic properties of ensembles of nanoparticles with an average size in the range of 5-13 nm are compared. The role of surface anisotropy and the effect of oleic acid, one of the most common and versatile organic coatings, are discussed. The structural and morphological properties are investigated by X-ray diffraction and transmission electron microscopy. The size dependence of the surface contribution to the effective particle anisotropy and the magnetic structure are analyzed by magnetization measurements and in-field Mössbauer spectrometry. The structural data combined with magnetometry and Mössbauer spectrometry analysis are used to shed light on this complex scenario revealing a crossover between volume and surface-driven properties in the range of 5-7 nm.

Identifiants

pubmed: 36219264
doi: 10.1186/s11671-022-03737-w
pii: 10.1186/s11671-022-03737-w
pmc: PMC9554062
doi:

Types de publication

Journal Article

Langues

eng

Pagination

98

Subventions

Organisme : Ministero dell'Università e della Ricerca
ID : AIM1809115-3
Organisme : Ministero dell'Università e della Ricerca
ID : 20177SL7HC_003
Organisme : Ministero dell'Università e della Ricerca
ID : AIM1890410-3

Informations de copyright

© 2022. The Author(s).

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Auteurs

Giuseppe Muscas (G)

Department of Physics, University of Cagliari, Cittadella Universitaria Di Monserrato, S.P. 8 Km 0.700, 09042, Monserrato, CA, Italy. giuseppe.muscas@dsf.unica.it.

Francesco Congiu (F)

Department of Physics, University of Cagliari, Cittadella Universitaria Di Monserrato, S.P. 8 Km 0.700, 09042, Monserrato, CA, Italy.

Giorgio Concas (G)

Department of Physics, University of Cagliari, Cittadella Universitaria Di Monserrato, S.P. 8 Km 0.700, 09042, Monserrato, CA, Italy.

Carla Cannas (C)

Università Degli Studi Di Cagliari, Dipartimento Di Scienze Chimiche E Geologiche, and INSTM, Cittadella Universitaria Di Monserrato, S.P. 8 Km 0.700, 09042, Monserrato, CA, Italy.

Valentina Mameli (V)

Università Degli Studi Di Cagliari, Dipartimento Di Scienze Chimiche E Geologiche, and INSTM, Cittadella Universitaria Di Monserrato, S.P. 8 Km 0.700, 09042, Monserrato, CA, Italy.

Nader Yaacoub (N)

IMMM, Le Mans Université, CNRS UMR-6283, Avenue Olivier Messiaen, 72085, Le Mans, France.

Rodaina Sayed Hassan (RS)

IMMM, Le Mans Université, CNRS UMR-6283, Avenue Olivier Messiaen, 72085, Le Mans, France.
Department of Physics, Faculty of Science, Lebanese University, Beirut, Lebanon.

Dino Fiorani (D)

Istituto Di Struttura Della Materia-CNR, 00015, Monterotondo Scalo, RM, Italy.

Sawssen Slimani (S)

Dipartimento Di Chimica E Chimica Industriale, Università Degli Studi Di Genova, Via Dodecaneso 31, 1-16146, Genoa, Italy.
Istituto Di Struttura Della Materia-CNR, 00015, Monterotondo Scalo, RM, Italy.

Davide Peddis (D)

Dipartimento Di Chimica E Chimica Industriale, Università Degli Studi Di Genova, Via Dodecaneso 31, 1-16146, Genoa, Italy. davide.peddis@unige.it.
Istituto Di Struttura Della Materia-CNR, 00015, Monterotondo Scalo, RM, Italy. davide.peddis@unige.it.

Classifications MeSH