| Zugriffsnummer | 39449 |
| Dokumenttyp | Zeitschriftenartikel |
| Peer Review | mit Peer Review |
| Sprache | Englisch |
| Titel | Distribution functions of magnetic nanoparticles determined by a numerical inversion method |
| Autor(in); Institution |
Bender, P.; Department CITIMAC, Faculty of Science, University of Cantabria, Santander, SPAIN
Balceris, C.; Institut für Elektrische Messtechnik und Grundlagen der Elektrotechnik, TU Braunschweig, Braunschweig, GERMANY
Ludwig, F.; Institut für Elektrische Messtechnik und Grundlagen der Elektrotechnik, TU Braunschweig, Braunschweig, GERMANY
Posth, Oliver; 8.2, Biosignale, PTB-Berlin
Bogart, L.K.; UCL Healthcare Biomagnetics Laboratory, University College London, London, UNITED KINGDOM
Szczerba, W.; Bundesanstalt für Materialforschung und –prüfung (BAM), Berlin, GERMANY; Academic Centre for Materials and Nanotechnology, AGH University of Science and Technology, Krakow, POLAND
Castro, A.; SOLVE Research and Consultancy AB, Lund, SWEDEN
Nilsson, L.; SOLVE Research and Consultancy AB, Lund, SWEDEN; Lund Centre for Field-Flow Fractionation, Department of Food Technology, Engineering and Nutrition, Lund University, SWEDEN
Costo, R.; Instituto de Ciencia de Materiales de Madrid, ICMM/CSIC, Madrid, SPAIN
Gavilán, H.; Instituto de Ciencia de Materiales de Madrid, ICMM/CSIC, Madrid, SPAIN
González-Alonso, D.; Department CITIMAC, Faculty of Science, University of Cantabria, Santander, SPAIN
de Pedro, I.; Department CITIMAC, Faculty of Science, University of Cantabria, Santander, SPAIN
Fernández Barquín, L.; Department CITIMAC, Faculty of Science, University of Cantabria, Santander, SPAIN
Johansson, C.; RISE Acreo AB, Göteborg, SWEDEN
|
| Quelle/Jahr | New Journal of Physics: 19 (2017), 1 - 19 |
| Artikelnummer | 073012 |
| Availability | [online only] |
| ISSN | 1367-2630 |
| DOI | |
| Verlag | Bristol: IOP |
| Freie Schlagworte | magnetic nanoparticles ; numerical inversion ; SAXS ; magnetization measurements ; ACsusceptibility ; distribution functions |
| Zusammenfassung | In the present study, we applied a regularized inversion method to extract the particle size, magnetic moment and relaxation-time distribution of magnetic nanoparticles from small-angle x-ray scattering (SAXS),DCmagnetization (DCM) and ACsusceptibility (ACS) measurements. For the measurements the particles were colloidally dispersed in water. At first approximation the particles could be assumed to be spherically shaped and homogeneously magnetized single-domain particles. As model functions for the inversion, we used the particle form factor of a sphere (SAXS), the Langevin function (DCM) and the Debye model (ACS). The extracted distributions exhibited features/peaks that could be distinctly attributed to the individually dispersed and non-interacting nanoparticles. Further Analysis of these peaks enabled, in combination with a prior characterization of the particle ensemble by electron microscopy and dynamic light scattering, a detailed structural and magnetic characterization of the particles. Additionally, all three extracted distributions featured peaks, which indicated deviations of the scattering (SAXS), magnetization (DCM) or relaxation (ACS) behavior from the one expected for individually dispersed, homogeneously magnetized nanoparticles. These deviations could be mainly attributed to partial agglomeration (SAXS, DCM, ACS), uncorrelated surface spins (DCM) and/or intra-well relaxation processes (ACS). The main advantage of the numerical Inversion method is that no ad hoc assumptions regarding the line shape of the extracted distribution functions are required, which enabled the detection of These contributions. We highlighted this by comparing the results with the results obtained by standard model fits, where the functional form of the distributions was a priori assumed to be log-normal shaped. |
| Kostenfreier Zugang | Open Access Gold |
| Rechteinformation | CC BY 3.0 ; Creative Commons Attribution 3.0 License |
Zitierung
Bender, P., Balceris, C., Ludwig, F., Posth, O., Bogart, L., Szczerba, W., Castro, A., Nilsson, L., Costo, R., Gavilán, H., González-Alonso, D., de Pedro, I., Fernández Barquín, L., & Johansson, C. (2017). Distribution functions of magnetic nanoparticles determined by a numerical inversion method. New Journal of Physics, 19, 1–19. https://doi.org/10.1088/1367-2630/aa73b4