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.


Interaction of amino acid based biosurfactants with model lipid bilayers

Abstract: N-acyl amino acids are surfactants with attractive applications in different technological fields. They are referred to as mild surfactants because they are commonly considered less irritant and safer than sulfates anionic surfactants. N-acyl amino acid surfactants could infact represent an alternative and safer option to SDS. However, the full potential of such surfactants remains unexplored, mainly because of the lack of information regarding a full characterization of their physicochemical and toxicological properties, including their interaction with biological membranes. With the aim to use these compounds as drug delivery agents, we propose here to study the interaction between N-decanoyl amino acid surfactants and supported lipid bilayers prepared by liposome deposition. This study will help us better understanding and proceeding further in their application in real systems.

Principal Investigator: Professor Luca Casettari
Experimenter: Dr Mario Campana
Experimenter: Dr Diego Romano Perinelli

DOI: 10.5286/ISIS.E.RB1700019

ISIS Experiment Number: RB1700019

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.82664464 SURF 29 October 2019 Download
10.5286/ISIS.E.82664495 SURF 28 October 2019 Download
10.5286/ISIS.E.84763527 SURF 18 February 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:
Professor Luca Casettari et al; (2016): Interaction of amino acid based biosurfactants with model lipid bilayers, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1700019

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



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