Quasi-elastic light scattering determination of the size distribution of extruded vesicles
✍ Scribed by S. Kölchens; V. Ramaswami; J. Birgenheier; L. Nett; D.F. O'Brien
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 772 KB
- Volume
- 65
- Category
- Article
- ISSN
- 0009-3084
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✦ Synopsis
The size distribution of phospholipid vesicles prepared by the freeze thaw-extrusion method were determined by the non-perturbing technique of quasi-elastic light scattering (QELS) and compared to latex particles of known size. Multiangle QELS experiments were performed to avoid errors due to the angular dependence of the scattering function of the particles. The experimentally determined antocorrelation function was analyzed by multiple mathematical procedures, i.e. single exponential, CUMULANT, exponential sampiing, non-negatively constrained least square and CONTIN, in order to select suitable models for vesicle characterization. The most consistent results were obtained with CUMULANT, non-negatively constrained least square and CONTIN. In many instances single exponential analysis gave comparable results to these procedures, which indicates the vesicles have a narrow distribution of sizes. The influence of filter pore size, extrusion pressure and lipid concentration on the size and size distribution of extruded vesicles was determined. Extrusion through 100-, 200-and 400-nm pore size filters produced a unimodal distribution of vesicles, with somewhat smaller diameters as the extrusion pressure increased. The larger the filter pore size, the more dependent the vesicle size was on applied pressure. The observed vesicle size was independent of the lipid concentration between 0.1 and 10 mg m1-1.
📜 SIMILAR VOLUMES
All molecular weights are in thousands. Methods: (A) EM. (B) Thermodynamic model. ( C ) Size distributions from method B analyzed by CONTIN. (D) QLS data analyzed by CONTIN. (E) CLS.
## NOTE Determination of the Particle Size Distribution of Latex Using a Combination of Elastic Light Scattering and Turbidimetry: A Simulation Study nonabsorbing particles (5). In other words, the right tail of the distribution is more strongly weighted, and therefore a more precise estimation of