University of Illinois at Chicago
Browse
Magnetic field-induced.pdf (3 MB)

Magnetic field-induced self-assembly of iron oxide nanocubes.

Download (3 MB)
journal contribution
posted on 2016-02-17, 00:00 authored by G. Singh, H. Chan, T. Udayabhaskararao, E. Gelman, D. Peddis, A. Baskin, G. Leitus, P. Král, R. Klajn
Self-assembly of inorganic nanoparticles has been studied extensively for particles having different sizes and compositions. However, relatively little attention has been devoted to how the shape and surface chemistry of magnetic nanoparticles affects their self-assembly properties. Here, we undertook a combined experiment-theory study aimed at better understanding of the self-assembly of cubic magnetite (Fe3O4) particles. We demonstrated that, depending on the experimental parameters, such as the direction of the magnetic field and nanoparticle density, a variety of superstructures can be obtained, including one-dimensional filaments and helices, as well as C-shaped assemblies described here for the first time. Furthermore, we functionalized the surfaces of the magnetic nanocubes with light-sensitive ligands. Using these modified nanoparticles, we were able to achieve orthogonal control of self-assembly using a magnetic field and light.

Funding

This work was supported by the Israel Science Foundation grant 1463/11, the G. M. J. Schmidt-Minerva Center for Supramolecular Architectures, and the Minerva Foundation with funding from the Federal German Ministry for Education and Research (R.K.) as well as by the NSF Division of Materials Research grant 1309765, and the American Chemical Society Petroleum Research Fund grant 53062-ND6 (P.K.)

History

Publisher Statement

This is the copy of an article published in the Faraday Discussions © 2015 Royal Society of Chemistry Publications.

Publisher

Royal Society of Chemistry

issn

1359-6640

Issue date

2015-01-01

Usage metrics

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC