Structural and magnetic properties of multi-core nanoparticles analysed using a generalised numerical inversion method
Artikel i vetenskaplig tidskrift, 2017

The structural and magnetic properties of magnetic multi-core particles were determined by numerical inversion of small angle scattering and isothermal magnetisation data. The investigated particles consist of iron oxide nanoparticle cores (9 nm) embedded in poly(styrene) spheres (160 nm). A thorough physical characterisation of the particles included transmission electron microscopy, X-ray diffraction and asymmetrical flow field-flow fractionation. Their structure was ultimately disclosed by an indirect Fourier transform of static light scattering, small angle X-ray scattering and small angle neutron scattering data of the colloidal dispersion. The extracted pair distance distribution functions clearly indicated that the cores were mostly accumulated in the outer surface layers of the poly(styrene) spheres. To investigate the magnetic properties, the isothermal magnetisation curves of the multicore particles (immobilised and dispersed in water) were analysed. The study stands out by applying the same numerical approach to extract the apparent moment distributions of the particles as for the indirect Fourier transform. It could be shown that the main peak of the apparent moment distributions correlated to the expected intrinsic moment distribution of the cores. Additional peaks were observed which signaled deviations of the isothermal magnetisation behavior from the non-interacting case, indicating weak dipolar interactions.








Iron-Oxide Nanoparticles

Biomedical Applications


Indirect Fourier

Small-Angle Scattering


P. Bender

Universidad de Cantabria

L. K. Bogart

University College London (UCL)

Oliver Posth

Physikalisch-Technische Bundesanstalt (PTB)

W. Szczerba

Bundesanstalt für Materialforschung und -prüfung (BAM)

Akademia Gorniczo-Hutnicza im. Stanislawa Staszica w Krakowie

S. E. Rogers

ISIS-STFC Neutron Scattering Facility

A. Castro

Solve Research & Consultancy

L. Nilsson

Solve Research & Consultancy

Lunds universitet

Lunjie Zeng

Chalmers, Fysik, Eva Olsson Group

A. Sugunan

SP Sveriges Tekniska Forskningsinstitut AB

J. Sommertune

SP Sveriges Tekniska Forskningsinstitut AB

A. Fornara

SP Sveriges Tekniska Forskningsinstitut AB

D. Gonzalez-Alonso

Universidad de Cantabria

L. F. Barquin

Universidad de Cantabria

C. Johansson

RISE Research Institutes of Sweden

Scientific Reports

2045-2322 (ISSN)

Vol. 7 45990





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