• DocumentCode
    67636
  • Title

    Derivation and Numerical Verification of a Compact Analytical Model for the AC Admittance Response of Nanoelectrodes, Suitable for the Analysis and Optimization of Impedance Biosensors

  • Author

    Pittino, Federico ; Scarbolo, Paolo ; Widdershoven, Frans ; Selmi, Luca

  • Author_Institution
    Univ. degli Studi di Udine, Udine, Italy
  • Volume
    14
  • Issue
    4
  • fYear
    2015
  • fDate
    Jul-15
  • Firstpage
    709
  • Lastpage
    716
  • Abstract
    This paper presents a compact analytical model for the AC response of nanoelectrode-based impedimetric biosensors to dielectric nanoparticles suspended in the electrolyte. The model highlights the functional dependence of the impedance change on the nanoparticle and the system geometrical and physical parameters. The model is carefully verified by means of 2-D simulations carried out with an ad hoc numerical solver of the Poisson-Nernst-Planck (Poisson-Drift-Diffusion) equations. The results can be useful to determine optimum detection conditions for impedimetric nanobiosensors, and to interpret experimental results.
  • Keywords
    Poisson equation; biosensors; diffusion; electric admittance; electrolytes; nanobiotechnology; nanoparticles; nanosensors; numerical analysis; 2D simulations; Poisson-Nernst-Planck equation; Poisson-drift-diffusion equation; ad hoc numerical solver; compact analytical model; dielectric nanoparticles; electrolyte; geometrical parameter; impedance change; impedimetric nanobiosensors; nanoelectrode AC admittance response; optimum detection conditions; physical parameter; Admittance; Analytical models; Biological system modeling; Biosensors; Electrodes; Mathematical model; Numerical models; AC nanoelectrode biosensor; compact analytical model; dielectric nanoparticles; numerical simulation; optimum detection conditions;
  • fLanguage
    English
  • Journal_Title
    Nanotechnology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-125X
  • Type

    jour

  • DOI
    10.1109/TNANO.2015.2434106
  • Filename
    7109161