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.
Micellization in mixtures of surfactants used in fire-fighting foams
Abstract: The aim is to probe the mixed micellar compositions of three common industrial fluorotelomer surfactants used in fire-fighting foam formulations (Figure 1) using contrast variation SANS. These surfactants have already been studied individually (Figure 1) and now will be studied as mixed systems (2- and 3-component systems) over both a range of mole ratios and a range of typical compositions found in fire-fighting foam formulations. The data will allow us to understand how the surfactant aggregation is affected by mixing so as to provide new understanding on the colloidal properties of these practical surfactants. This is the second stage in a new 3-year program, including SANS, so that F-carbon surfactants can be replaced by more environmentally-responsive low-F or hydrocarbon analogues. Chris Hill is a 2nd year PhD student fully funded by fire-fighting technology company Angus Fire.
Principal Investigator: Professor Julian Eastoe
Experimenter: Miss Jocelyn Peach
Experimenter: Mr Jonny Pegg
Local Contact: Dr Sarah Rogers
Experimenter: Dr Adam Czajka
Experimenter: Mr Christopher Hill
Experimenter: Mr Craig Davies
DOI: 10.5286/ISIS.E.RB1710065
ISIS Experiment Number: RB1710065
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.86389031 | LOQ | 02 June 2020 | Download |
Publisher: STFC ISIS Neutron and Muon Source
Data format: RAW/Nexus
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Data Citation
The recommended format for citing this dataset in a research
publication is as:
[author], [date], [title], [publisher],
[doi]
For Example:
Professor Julian Eastoe et al; (2017): Micellization in mixtures of surfactants used in fire-fighting foams , STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1710065
Data is released under the CC-BY-4.0 license.