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.


Biosurfactant conventional surfactant mixing. Where nature does it better ?

Abstract: Biosurfactants are becoming more commonplace in pharmaceuticals, vaccines and other forms of medicines. With the biobased economy growing substantially and pressure to reduce reliance on palm and crude oil derived materials, it is vital that the Home and Personal Care industry 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, generally more than double that of the most commonly used conventional surfactants. By means of studying the structure of the adsorbed layer of biosurfactant conventional surfactant mixtures, in this case using Saponins we hope to gain understanding which can aid in the expansion of the use of these materials towards commodity products.

Principal Investigator: Dr Ian Tucker
Experimenter: Mr Matthew Evans
Experimenter: Dr John Webster
Experimenter: Professor Jeffery Penfold
Experimenter: Dr Nicoḷ Paracini
Experimenter: Dr Peixun Li
Experimenter: Dr Andrew Burley
Experimenter: Dr Radka Petkova

DOI: 10.5286/ISIS.E.RB1510061

ISIS Experiment Number: RB1510061

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.58450444 INTER 28 March 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): Biosurfactant conventional surfactant mixing. Where nature does it better ?, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1510061

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



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