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Electrostatic force microscopy analysis of lipid miscibility in two-component monolayers.

Thomas Goodman1, Ezra Bussmann, Clayton Williams

  • 1Center for Biopolymers at Interfaces, University of Utah, Salt Lake City, Utah 84112, USA.

Langmuir : the ACS Journal of Surfaces and Colloids
|May 7, 2005
PubMed
Summary

Electrostatic force microscopy (EFM) reveals lipid miscibility in thin films. This technique quantitatively measures surface potential to predict component distribution and adsorption patterns.

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Area of Science:

  • Surface science
  • Materials science
  • Biophysics

Background:

  • Lipid miscibility and phase behavior are crucial for understanding thin film properties.
  • Langmuir-Blodgett (LB) monolayers are model systems for studying lipid organization.
  • Electrostatic force microscopy (EFM) offers high-resolution surface potential mapping.

Purpose of the Study:

  • To assess lipid miscibility and phase behavior in two-component LB monolayers using EFM.
  • To quantitatively measure surface potential differences to infer lipid distribution.
  • To demonstrate EFM as a tool for predicting adsorption patterns.

Main Methods:

  • Utilized EFM to analyze LB monolayers of cationic dioctadecyldimethylammonium bromide (DOMA) and nonionic methyl stearate (SME).

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  • Calibrated surface potential measurements using applied bias voltages to create scale bars.
  • Employed fluorescent imaging with a negatively charged dye to corroborate EFM findings.

    • Main Results:

    • Observed circular domains with a 50 mV higher surface potential than the surrounding phase, attributed to increased packing density and lipid orientation, not phase separation.
    • Sequential spreading resulted in irregular domains with varying positive surface potentials (50-450 mV), indicating restricted lipid mixing.
    • EFM miscibility predictions were supported by fluorescent imaging.

    Conclusions:

    • EFM can quantitatively measure surface potential to assess component distribution in thin films.
    • Surface potential contrast in EFM is influenced by lipid packing density and orientation.
    • EFM provides a novel approach to predict adsorption patterns on heterogeneous interfaces.