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.


Manipulating surface adsorption of SLES surfactants using temperature

Abstract: Although surfactant detergency is well understood above 30 C, actions of surfactants below 30 C are not well established. In the era of energy saving and environment caring, we must understand how to optimise detergency in what are increasingly hostile environments. Existing surfactant mixing theories such as regular solution theory are not validated at low temperatures, and other factors such as being closer to the solubility limit of the surfactants, and perhaps proximate to phase boundaries also need to be taken into account. It is hence vital that industry is supported with both data and a thermodynamic description of the behaviour of detergent components at ambient and below ambient temperatures. This work proposes to study SLES adsorption against T, which will help establish how model surfactant mixtures behave below ambient T.

Principal Investigator: Professor Jian Lu
Experimenter: Dr Ian Tucker
Experimenter: Miss Daniela Ciumac
Experimenter: Dr Mario Campana
Experimenter: Dr Zongyi Li
Experimenter: Mr Zhiming Lu
Experimenter: Dr John Webster
Experimenter: Mr Charles Smith
Local Contact: Dr Arwel Hughes

DOI: 10.5286/ISIS.E.RB1510046

ISIS Experiment Number: RB1510046

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.58452132 SURF 17 April 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:
Professor Jian Lu et al; (2015): Manipulating surface adsorption of SLES surfactants using temperature, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1510046

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



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