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.


Engineered anisotropic liposomes for drug delivery

Abstract: It is well established that the anisotropy of nanoparticles has a dominant effect on increasing their uptake by cells. However, the advantage of anisotropy for cell penetration has yet to be utilised for soft nanoparticles such as liposomes, which have wide-ranging applications in drug delivery and diagnostics. This is because their formulation is far from trivial. Here we propose a study of the morphology of nanometre-scale anisotropic liposomes we have formed by adjusting both the osmotic balance and cholesterol content, which leads to a significant proportion of rod-shaped liposomes. To our knowledge, this is the first study of the effect of cholesterol and osmotic imbalance on the morphology of nanometre-sized unilamellar liposomes. Its findings will feed directly into several projects within our group and open the door to liposomal drug delivery vectors with tuneable anisotropy.

Principal Investigator: Dr Margaret Holme
Experimenter: Dr Cecile Dreiss
Experimenter: Dr Michael Thomas
Experimenter: Professor Molly Stevens
Local Contact: Dr James Doutch
Experimenter: Miss Lucia Massi
Experimenter: Miss Valeria Nele

DOI: 10.5286/ISIS.E.RB1710255

ISIS Experiment Number: RB1710255

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.86390501 SANS2D 23 May 2020 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:
Dr Margaret Holme et al; (2017): Engineered anisotropic liposomes for drug delivery, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1710255

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



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