Colloidal Flower-Shaped Iron Oxide Nanoparticles: Synthesis Strategies and CoatingsShow others and affiliations
2017 (English)In: Particle & particle systems characterization, ISSN 0934-0866, E-ISSN 1521-4117, Vol. 34, no 7, article id 1700094Article in journal (Refereed) Published
Abstract [en]
The assembly of magnetic cores into regular structures may notably influence the properties displayed by a magnetic colloid. Here, key synthesis parameters driving the self-assembly process capable of organizing colloidal magnetic cores into highly regular and reproducible multi-core nanoparticles are determined. In addition, a self-consistent picture that explains the collective magnetic properties exhibited by these complex assemblies is achieved through structural, colloidal, and magnetic means. For this purpose, different strategies to obtain flower-shaped iron oxide assemblies in the size range 25–100 nm are examined. The routes are based on the partial oxidation of Fe(OH)2, polyol-mediated synthesis or the reduction of iron acetylacetonate. The nanoparticles are functionalized either with dextran, citric acid, or alternatively embedded in polystyrene and their long-term stability is assessed. The core size is measured, calculated, and modeled using both structural and magnetic means, while the Debye model and multi-core extended model are used to study interparticle interactions. This is the first step toward standardized protocols of synthesis and characterization of flower-shaped nanoparticles.
Place, publisher, year, edition, pages
2017. Vol. 34, no 7, article id 1700094
Keywords [en]
colloids, magnetic properties, magnetite, nanoflowers, self-assembly, Association reactions, Iron, Iron compounds, Iron oxides, Magnetic cores, Magnetism, Nanoparticles, Self assembly, Synthesis (chemical), Inter-particle interaction, Iron acetylacetonate, Iron oxide nanoparticle, Long term stability, Polyol-mediated synthesis, Self assembly process, Synthesis and characterizations, Synthesis parameters, Nanomagnetics
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-30284DOI: 10.1002/ppsc.201700094Scopus ID: 2-s2.0-85020161573OAI: oai:DiVA.org:ri-30284DiVA, id: diva2:1130788
Note
This work was partially supported by the European Commission Framework Program 7 (NanoMag project, NO 604448) and by the Spanish Ministry of Economy and Competitiveness (Mago project, No. MAT2014-52069-R).
2017-08-112017-08-112023-05-08Bibliographically approved