ISIS Neutron and Muon Source Data Journal

Mixed Amino-Acid Based Surfactant Monolayers

Abstract: Amino acid based surfactants have been known for many years but so far few detailed studies have been carried out on their properties. We are using amino acids extracted from grain residues, otherwise used in animal feed, to prepare surfactants with amino-acid based headgroups. We aim to evaluate whether such feedstocks could provide a renewable source for such amphiphiles for use in emulsification, and formulations for delivery of active species. A preliminary reflectivity study using neutron and Xray reflectivity to study 1:1 mixtures of monolayers of three amino acid based surfactants found evidence of interesting interactions between headgroups leading to marked alteration of monolayer structures. Here we wish to extend this study to other molar ratios to better understand the interactions between these species, and also to complete characterisation at different temperatures.

Principal Investigator: Professor Karen Edler
Experimenter: Dr Thomas Arnold
Local Contact: Dr Rebecca Welbourn
Experimenter: Dr Ian Tucker
Experimenter: Dr Naomi Elstone
Experimenter: Dr Andrew McCluskey
Experimenter: Miss Andi Di
Experimenter: Mr Vincenzo Calabrese
Local Contact: Dr Maxmilian Skoda
Experimenter: Mr Joseph Thompson

DOI: 10.5286/ISIS.E.RB1720266

ISIS Experiment Number: RB1720266

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 Karen Edler et al; (2017): Mixed Amino-Acid Based Surfactant Monolayers, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1720266

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