Highly stable amine functionalized iron oxide nanoparticles designed for magnetic particle imaging (MPI)

Hamed Arami, Kannan M. Krishnan

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Magnetic particle imaging (MPI) is a promising medical imaging technology that uses iron oxide nanoparticles (NPs) as clinically safe tracers. The core and hydrodynamic size of these NPs determine the signal intensity and spatial resolution in MPI, whilst their monodispersity when preserved during the biomedical applications, generates a consistently high quality MPI image. Using an effective process to coat the synthesized NPs with amine terminated PEG molecules, we show by dynamic light scattering (DLS) that they are water-soluble with long-term stability in biological media such as phosphate buffered saline (PBS) and sodium bicarbonate buffers and Dulbecco's modified Eagle medium (DMEM) enriched with 10% fetal bovine serum (FBS). Further, using magnetic particle spectroscopy (MPS), to measure the particle response function (PRF), defined as the derivative of the magnetization of the nanoparticles, we predict the MPI performance of these nanoparticles at a driving field frequency of 25 kHz. The MPS efficacy of the functionalized nanoparticles was also monitored over time, and both signal intensity and resolution remained unchanged even after seven days of incubation. This is attributed to the dominant contribution of the Néel relaxation mechanism of the monodisperse and highly stable nanoparticles, which was preserved through the incubation period.

Original languageEnglish (US)
Article number6559124
Pages (from-to)3500-3503
Number of pages4
JournalIEEE Transactions on Magnetics
Volume49
Issue number7
DOIs
StatePublished - 2013
Externally publishedYes

Keywords

  • Biomedical engineering
  • functionalization
  • iron oxide nanoparticles
  • magnetic particle imaging (MPI)

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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