ISIS Neutron and Muon Source Data Journal

This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.


Optimisation of Experimental Conditions for the Study of Anionic Self-Assembled Floating Supported Bilayers

Abstract: We have developed a Self-assembled floating supported membrane sample system comprised of unsaturated phospholipid bilayers held ~1nm from a PEGylated charged alkane thiol SAM through an interplay of weak attractive and strong repulsive forces. Here, building on previous results we wish to gain an understanding of the wider factors governing this sample type and its application in structural and biophysical studies. In particular the factors effecting the SAM-to-bilayer distance and role of cations in this sample system. In the proposed research activities, and through a comparing three differing bilayer types deposited onto three differing SAMs, we wish to examine the how an increase in anionic lipids changes the behaviour of these samples under differing solution conditions and examine the effect of changing the level of PEGylation and charge on the SAM surface.

Experimenter: Professor Gail Preston
Experimenter: Mrs Laura John
Local Contact: Dr Luke Clifton
Experimenter: Professor Mark Sansom

DOI: 10.5286/ISIS.E.RB2010740

ISIS Experiment Number: RB2010740

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.RB2010740-1 SURF 11 March 2023 Download

Publisher: STFC ISIS Neutron and Muon Source

Data format: RAW/Nexus
Select the data format above to find out more about it.

Data Citation

The recommended format for citing this dataset in a research publication is as:
[author], [date], [title], [publisher], [doi]

For Example:
Professor Gail Preston et al; (2020): Optimisation of Experimental Conditions for the Study of Anionic Self-Assembled Floating Supported Bilayers , STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2010740

Data is released under the CC-BY-4.0 license.



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