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.


Extreme Synergistic mixing in Biosurfactant ionic surfactant mixtures

Abstract: The biobased economy growing substantially and pressure to reduce reliance on palm and crude oil derived materials, demand that Home and Personal Care industries develops frameworks for deploying sustainably sourced alternative materials. Biosurfactants tend to be very similar to nonionic and mild anionic surfactants but with significantly higher molecular weights. Saponins are naturally occurring glycolipids with between one and 5 sugar groups as headgroups and are of growing interest as natural detergents. We wish to understand the origins of a peculiar competition between a saponin derived from tea and a conventional surfactant where at very low concentrations the tea material significantly reduces the adsorbed amount of SDS (a common ingredient in toothpaste). this is vital in understanding how to formulate these materials in a sustainable bioeconomy.

Principal Investigator: Dr Ian Tucker
Experimenter: Dr John Webster
Experimenter: Dr Radka Petkova
Experimenter: Dr Andrew Burley
Experimenter: Professor Jeffery Penfold
Experimenter: Dr Peixun Li
Local Contact: Dr Rebecca Welbourn
Experimenter: Professor Jian Lu

DOI: 10.5286/ISIS.E.RB1520063

ISIS Experiment Number: RB1520063

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.66761688 INTER 27 November 2018 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 Ian Tucker et al; (2015): Extreme Synergistic mixing in Biosurfactant ionic surfactant mixtures, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1520063

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



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