Size analysis of single-core magnetic nanoparticlesShow others and affiliations
2017 (English)In: Journal of Magnetism and Magnetic Materials, ISSN 0304-8853, E-ISSN 1873-4766, Vol. 427, p. 19-24Article in journal (Refereed) Published
Abstract [en]
Single-core iron-oxide nanoparticles with nominal core diameters of 14 nm and 19 nm were analyzed with a variety of non-magnetic and magnetic analysis techniques, including transmission electron microscopy (TEM), dynamic light scattering (DLS), static magnetization vs. magnetic field (M-H) measurements, ac susceptibility (ACS) and magnetorelaxometry (MRX). From the experimental data, distributions of core and hydrodynamic sizes are derived. Except for TEM where a number-weighted distribution is directly obtained, models have to be applied in order to determine size distributions from the measurand. It was found that the mean core diameters determined from TEM, M-H, ACS and MRX measurements agree well although they are based on different models (Langevin function, Brownian and Néel relaxation times). Especially for the sample with large cores, particle interaction effects come into play, causing agglomerates which were detected in DLS, ACS and MRX measurements. We observed that the number and size of agglomerates can be minimized by sufficiently strong diluting the suspension.
Place, publisher, year, edition, pages
2017. Vol. 427, p. 19-24
Keywords [en]
Brownian and Néel relaxation, Dynamic light scattering, Magnetization, Single-core nanoparticles, Size distribution, Transmission electron microscopy, Agglomeration, Electron microscopy, High resolution transmission electron microscopy, Light scattering, Magnetic susceptibility, Magnetism, Nanoparticles, Ac susceptibility (ACS), Brownian, Iron oxide nanoparticle, Langevin functions, Magnetic nano-particles, Magnetorelaxometry (MRX), Static magnetization, Weighted distribution, Nanomagnetics
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-29329DOI: 10.1016/j.jmmm.2016.11.113Scopus ID: 2-s2.0-85007453614OAI: oai:DiVA.org:ri-29329DiVA, id: diva2:1094978
2017-05-112017-05-112019-10-17Bibliographically approved