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A new methodology for quantitative LSPR biosensing and imaging.

Marc P Raphael1, Joseph A Christodoulides, Shawn P Mulvaney

  • 1Naval Research Laboratory, Washington, DC 20375, USA.

Analytical Chemistry
|January 13, 2012
PubMed
Summary
This summary is machine-generated.

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This study introduces a new method for localized surface plasmon resonance (LSPR) biosensing to quantify binding events and map them in real-time. The technique precisely measures surface-receptor interactions, offering high temporal and spatial resolution for biosensor applications.

Area of Science:

  • Nanotechnology
  • Biochemistry
  • Surface Science

Background:

  • Localized surface plasmon resonance (LSPR) is a powerful optical phenomenon for biosensing.
  • Existing LSPR techniques often lack precise quantification of binding kinetics and spatiotemporal mapping capabilities.

Purpose of the Study:

  • To develop a quantitative analysis methodology for LSPR biosensing.
  • To create an LSPR imaging technique for spatiotemporal mapping of molecular binding events.
  • To determine surface-receptor fractional occupancy and binding kinetics.

Main Methods:

  • Fabrication of gold nanostructure arrays using electron beam nanolithography.
  • Spectroscopic determination of fractional occupancy to measure association kinetics.
  • Simultaneous CCD-based LSPR imaging for spatiotemporal mapping of binding events.

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  • Regeneration of arrays for comparative kinetic analysis across varying analyte concentrations (1 μM to 50 nM).

    • Main Results:

    • Demonstrated a quantitative methodology for LSPR biosensing.
    • Achieved spatiotemporal mapping of neutravidin binding to biotinylated surfaces.
    • Measured association kinetics with high precision.
    • LSPR imaging revealed binding via enhanced scattering with 200 ms temporal and 8 μm² spatial resolution.

    Conclusions:

    • The developed LSPR methodology enables precise quantification of surface-receptor fractional occupancy.
    • The LSPR imaging technique provides effective spatiotemporal mapping of binding events.
    • This approach offers a significant advancement for real-time biosensing and kinetic analysis.