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3D Analysis of Multi-cellular Responses to Chemoattractant Gradients
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An algorithm for three-dimensional Monte-Carlo simulation of charge distribution at biofunctionalized surfaces.

Alena Bulyha1, Clemens Heitzinger

  • 1Department of Mathematics and Wolfgang Pauli Institute, University of Vienna, A-1090, Vienna, Austria. Alena.Bulyha@univie.ac.at

Nanoscale
|February 9, 2011
PubMed
Summary

This study presents a Monte Carlo algorithm to simulate charge concentrations on biofunctionalized surfaces, crucial for understanding nanowire field-effect biosensors (BioFETs). The findings quantify ion screening and reveal complex interactions within the electrical double layer.

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Area of Science:

  • Computational physics
  • Biophysics
  • Surface science

Background:

  • Biofunctionalized surfaces are critical components in nanowire field-effect biosensors (BioFETs).
  • Understanding the charge concentration in the boundary layer is essential for biosensor detection mechanisms.
  • Analyte binding alters charge concentration, modulating nanowire transducer conductance.

Purpose of the Study:

  • To develop a Monte Carlo algorithm for simulating 3D charge concentrations on biomolecule-functionalized surfaces.
  • To provide simulation capabilities for the boundary layer crucial in BioFETs.
  • To theoretically understand biofunctionalized surfaces and their role in biosensing.

Main Methods:

  • A Monte Carlo algorithm in the constant-voltage ensemble was developed.
  • The algorithm accommodates specific requirements for simulating biofunctionalized surfaces.
  • Simulations included rotatable DNA strands and multiple molecules in a single box for statistical accuracy.

Main Results:

  • Simulation results for surfaces functionalized with PNA and DNA in NaCl electrolyte were presented.
  • Quantitative results demonstrated the screening of biomolecule charge by counter-ions and the electrical double layer.
  • Concentration profiles exhibited a three-layer structure and non-trivial interactions.

Conclusions:

  • The developed algorithm provides crucial simulation capabilities for BioFET boundary layers.
  • Results quantify ion screening effects and reveal complex electrical double layer interactions.
  • Numerical results serve as a reference for developing simplified screening models.