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Characterization of phospholipid mixed micelles by translational diffusion
James J Chou1, James L Baber, Ad Bax
1Department of Biological Chemistry & Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA.
Journal of Biomolecular NMR
|June 24, 2004
Summary
This study measures the concentration dependence of translational diffusion rates in micelle systems. The findings enable accurate determination of hydrodynamic volume and micelle composition, crucial for understanding molecular aggregation.
Area of Science:
- Biophysics
- Physical Chemistry
- Materials Science
Background:
- Translational diffusion is key to understanding molecular aggregation.
- Accurate measurement of diffusion rates is essential for characterizing micelles and other aggregates.
- Existing methods for measuring diffusion in complex systems have limitations.
Purpose of the Study:
- To measure the concentration dependence of translational self-diffusion rates in micelle and mixed micelle systems.
- To determine the hydrodynamic volume of micelles and aggregates.
- To investigate the behavior of detergents and phospholipids in mixed micelles.
Main Methods:
- Utilized bipolar gradient pulse pairs in longitudinal eddy current delay experiments for enhanced sensitivity.
- Measured the concentration dependence of translational diffusion rates (D(s)).
- Applied the D(s) = D(o)(1-3.2λΦ) relationship to calculate hydrodynamic volume at low volume fractions (Φ ≤ 15% v/v).
Main Results:
- Hydrodynamic volume for proteins was found to be approximately 2.6 times their unhydrated molecular volume.
- Dihexanoyl phosphatidylcholine (DHPC) micelles showed approximately 27 molecules per micelle with a critical micelle concentration of 14 mM.
- Free detergent concentration in mixed micelles was determined and found to depend strongly on the detergent to phospholipid ratio.
Conclusions:
- The developed method accurately determines hydrodynamic volume and micelle properties.
- Translational diffusion measurements provide insights into the exchange dynamics of components in mixed micelles.
- Hydrodynamic volume derived from diffusion data can predict rotational correlation times for peptide-loaded bicelles.