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Scaling of transverse nuclear magnetic relaxation due to magnetic nanoparticle aggregation
Authors:Keith A. Brown  David Issadore  Jesse Berezovsky  R.M. Westervelt
Affiliation:
  • a Harvard School of Engineering and Applied Science, 29 Oxford Street, Cambridge, MA 02138, USA.
  • b Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
  • c Massachusetts Institute of Technology, Department of Materials Science and Engineering and Koch Institute for Integrative Cancer Research, 77 Massachusetts Avenue Cambridge, MA 02139, USA
  • d Harvard University, Department of Physics, 17 Oxford Street, Cambridge, MA 02138, USA
  • Abstract:The aggregation of superparamagnetic iron oxide (SPIO) nanoparticles decreases the transverse nuclear magnetic resonance (NMR) relaxation time View the MathML source of adjacent water molecules measured by a Carr-Purcell-Meiboom-Gill (CPMG) pulse-echo sequence. This effect is commonly used to measure the concentrations of a variety of small molecules. We perform extensive Monte Carlo simulations of water diffusing around SPIO nanoparticle aggregates to determine the relationship between View the MathML source and details of the aggregate. We find that in the motional averaging regime View the MathML source scales as a power law with the number N of nanoparticles in an aggregate. The specific scaling is dependent on the fractal dimension d of the aggregates. We find View the MathML source for aggregates with d=2.2, a value typical of diffusion limited aggregation. We also find that in two-nanoparticle systems, View the MathML source is strongly dependent on the orientation of the two nanoparticles relative to the external magnetic field, which implies that it may be possible to sense the orientation of a two-nanoparticle aggregate. To optimize the sensitivity of SPIO nanoparticle sensors, we propose that it is best to have aggregates with few nanoparticles, close together, measured with long pulse-echo times.
    Keywords:SPIO   Nuclear magnetic resonance   T2 shortening   Aggregation   Clustering
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