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A method for estimating lateral diffusion coefficients in membranes from steady-state fluorescence quenching studies.
Biophysical Journal
|May 1, 1987
Summary
The Stern-Volmer theory often overestimates membrane diffusion coefficients. A new empirical method accurately determines these coefficients, crucial for understanding molecular movement in lipid bilayers.
Area of Science:
- Biophysics
- Physical Chemistry
- Membrane Science
Background:
- The Stern-Volmer theory is a common model for fluorescence quenching.
- This theory assumes a linear relationship between quencher concentration and fluorescence intensity.
- Its applicability in complex environments like biological membranes is questionable.
Purpose of the Study:
- To evaluate the applicability of the Stern-Volmer theory to fluorescence quenching in membranes.
- To develop and present an alternative empirical method for accurate diffusion coefficient determination.
- To estimate diffusion coefficients of plastoquinone and plastoquinol in liposomes.
Main Methods:
- Numerical analysis of diffusion-controlled quenching in membranes.
- Development of a single-parameter linear approximation for nonlinear concentration curves.
- Least-squares analysis to determine the fitting parameter P.
- Application of the method to pyrene fluorescence quenching in soya bean phosphatidylcholine liposomes.
Main Results:
- Stern-Volmer theory typically overestimates lateral diffusion coefficients in membranes.
- Diffusion-controlled quenching shows nonlinear concentration dependence for specific diffusion coefficients and lifetimes.
- The new empirical method provides accurate estimations of diffusion coefficients.
- Plastoquinone and plastoquinol diffusion coefficients were found to be similar (1.3-3.5 X 10(-7) cm2 s-1).
Conclusions:
- The Stern-Volmer theory is often inadequate for fluorescence quenching studies in membranes.
- The presented empirical method offers a reliable alternative for calculating diffusion coefficients.
- Accurate diffusion measurements are vital for understanding molecular dynamics within lipid bilayers.