Global small-angle X-ray scattering data analysis for multilamellar vesicles : the evolution of the scattering density profile model

The highly successful scattering density profile (SDP) model, used to jointly analyze small-angle X-ray and neutron scattering data from unilamellar vesicles, has been adapted for use with data from fully hydrated, liquid crystalline multilamellar vesicles (MLVs). Using a genetic algorithm, this new...

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Veröffentlicht in:Journal of applied crystallography. - 1998. - 47(2014), Pt 1 vom: 01. Feb., Seite 173-180
1. Verfasser: Heftberger, Peter (VerfasserIn)
Weitere Verfasser: Kollmitzer, Benjamin, Heberle, Frederick A, Pan, Jianjun, Rappolt, Michael, Amenitsch, Heinz, Kučerka, Norbert, Katsaras, John, Pabst, Georg
Format: Aufsatz
Sprache:English
Veröffentlicht: 2014
Zugriff auf das übergeordnete Werk:Journal of applied crystallography
Schlagworte:Journal Article genetic algorithms liquid crystalline multilamellar vesicles scattering density profile model small-angle X-ray scattering
Beschreibung
Zusammenfassung:The highly successful scattering density profile (SDP) model, used to jointly analyze small-angle X-ray and neutron scattering data from unilamellar vesicles, has been adapted for use with data from fully hydrated, liquid crystalline multilamellar vesicles (MLVs). Using a genetic algorithm, this new method is capable of providing high-resolution structural information, as well as determining bilayer elastic bending fluctuations from standalone X-ray data. Structural parameters such as bilayer thickness and area per lipid were determined for a series of saturated and unsaturated lipids, as well as binary mixtures with cholesterol. The results are in good agreement with previously reported SDP data, which used both neutron and X-ray data. The inclusion of deuterated and non-deuterated MLV neutron data in the analysis improved the lipid backbone information but did not improve, within experimental error, the structural data regarding bilayer thickness and area per lipid
Beschreibung:Date Revised 29.05.2025
published: Electronic-eCollection
Citation Status PubMed-not-MEDLINE
ISSN:0021-8898