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Continuous synthesis of single core iron oxide nanoparticles for MPI tracer development

International Journal on Magnetic Particle Imaging. Bd. Volume 3. H. Issue 1. Infinite Science Publishing 2017 Article ID 1703004

Erscheinungsjahr: 2017

ISBN/ISSN: 2365-9033

Publikationstyp: Zeitschriftenaufsatz

Sprache: Englisch

Doi/URN: 10.18416/ijmpi.2017.1703004

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Inhaltszusammenfassung


The development of suitable tracers with optimized characteristics is a crucial factor to bring the powerful and high-innovative technology of Magnetic Particle Imaging (MPI) further towards clinics. Successful engineering of new magnetic particles for this imaging method requires a deeper understanding of structure-performance relationships. This means that the influence of certain particle characteristics as e.g. core size, crystallinity and agglomeration behavior on the signal spectrum in ...The development of suitable tracers with optimized characteristics is a crucial factor to bring the powerful and high-innovative technology of Magnetic Particle Imaging (MPI) further towards clinics. Successful engineering of new magnetic particles for this imaging method requires a deeper understanding of structure-performance relationships. This means that the influence of certain particle characteristics as e.g. core size, crystallinity and agglomeration behavior on the signal spectrum in MPI requires comprehensive investigation. Even though many international research groups work in the field of tracer development for theMPI technology, until nowno economic and reproducible synthesis method was found to produce high-performance tracer materials with optimal characteristics concerning theirMPI signals aswell as their behavior in vivo. In the present work recent achievements in the continuous synthesis of single-core iron oxide nanoparticles with tunable characteristics employing a micromixer set-up are reported.» weiterlesen» einklappen

  • mpi tracer
  • continuous synthesis
  • micromixer set-up, size control, single-core iron oxide nanoparticles

Autoren


Baki, Abdulkader (Beteiligte Person)
Löwa, Norbert (Beteiligte Person)
Thiermann , Raphael (Beteiligte Person)
Bantz, Christoph (Beteiligte Person)
Wiekhorst , Frank (Beteiligte Person)
Bleul, Regina (Beteiligte Person)

Klassifikation


DDC Sachgruppe:
Allgemeines, Wissenschaft

Verknüpfte Personen


Michael Maskos