• Title of article

    Fractional order analysis of Sephadex gel structures: NMR measurements reflecting anomalous diffusion

  • Author/Authors

    Magin، نويسنده , , Richard L. and Akpa، نويسنده , , Belinda S. and Neuberger، نويسنده , , Thomas and Webb، نويسنده , , Andrew G.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2011
  • Pages
    7
  • From page
    4581
  • To page
    4587
  • Abstract
    We report the appearance of anomalous water diffusion in hydrophilic Sephadex gels observed using pulse field gradient (PFG) nuclear magnetic resonance (NMR). The NMR diffusion data was collected using a Varian 14.1 Tesla imaging system with a home-built RF saddle coil. A fractional order analysis of the data was used to characterize heterogeneity in the gels for the dynamics of water diffusion in this restricted environment. Several recent studies of anomalous diffusion have used the stretched exponential function to model the decay of the NMR signal, i.e., exp[−(bD)α], where D is the apparent diffusion constant, b is determined the experimental conditions (gradient pulse separation, durations and strength), and α is a measure of structural complexity. In this work, we consider a different case where the spatial Laplacian in the Bloch–Torrey equation is generalized to a fractional order model of diffusivity via a complexity parameter, β, a space constant, μ, and a diffusion coefficient, D. This treatment reverts to the classical result for the integer order case. The fractional order decay model was fit to the diffusion-weighted signal attenuation for a range of b-values (0 < b < 4000 s mm−2). Throughout this range of b values, the parameters β, μ and D, were found to correlate with the porosity and tortuosity of the gel structure.
  • Keywords
    exponential , diffusion , Fractional derivative , fractal , Sephadex gel , magnetic resonance
  • Journal title
    Communications in Nonlinear Science and Numerical Simulation
  • Serial Year
    2011
  • Journal title
    Communications in Nonlinear Science and Numerical Simulation
  • Record number

    1536481