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Substantial Difference in Ordering of 10, 15, and 20 nm Iron Oxide Nanoparticles on a Water Surface: In Situ Characterization by the Grazing Incidence X-ray Scattering
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Materials Physics. European Synchrotron Radiat Facil, F-38043 Grenoble 9, France..
European Synchrotron Radiat Facil, F-38043 Grenoble 9, France.;Univ Erlangen Nurnberg, Organ Mat & Devices, D-91058 Erlangen, Germany..
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Materials Physics. Petersburg Nucl Phys Inst, St Petersburg 188300, Russia..
European Synchrotron Radiat Facil, F-38043 Grenoble 9, France..
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2015 (English)In: Langmuir, ISSN 0743-7463, E-ISSN 1520-5827, Vol. 31, no 42, 11639-11648 p.Article in journal (Refereed) Published
Abstract [en]

In the present study, for the first time, a unique combination of in situ grazing incidence small-angle X-ray scattering and X-ray reflectivity, accompanied by the pressure area isotherm analysis, Brewster angle microscopy, and ex situ scanning electron microscopy, was applied for investigation of two-dimensional superlattices of magnetic nanoparticles as they form on a water surface in a Langmuir trough. Iron oxide particles of different sizes stabilized with a single layer of oleic acid were used. It is demonstrated that monodisperse 10 nm particles on a water surface reproducibly form identical highly ordered monolayers in a wide range of experimental conditions, while monodisperse 20 nm particles always form compact three-dimensional clusters and never the monolayers. Monodisperse particles of an intermediate size, 15 um in diameter, build a metastable monolayer, which shows a tendency for spontaneous transformation to bi-, tri-, and multilayer islands. The importance to use both grazing incidence small-angle X-ray scattering and X-ray reflectivity together with the complementary techniques, to avoid misinterpretation of separate experimental data sets, is underlined.

Place, publisher, year, edition, pages
2015. Vol. 31, no 42, 11639-11648 p.
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Physical Sciences
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URN: urn:nbn:se:uu:diva-268432DOI: 10.1021/acs.langmuir.5b02644ISI: 000363914600032PubMedID: 26399881OAI: oai:DiVA.org:uu-268432DiVA: diva2:876697
Available from: 2015-12-04 Created: 2015-12-04 Last updated: 2017-12-01Bibliographically approved

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Vorobiev, Alexey

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