ISIS Neutron and Muon Source Data Journal

Competitive interactions in polymer-particle-surfactant blends

Abstract: Many formulations comprise distinct chemical species that exhibit antagonistic or synergistic interactions that result in unpredictable behaviour. Previous work from our group has focused on how surfactants modulate the interactions between lattices of varying hydrophobicity with hydrophobically modified neutral water soluble polymers. Our "deconstructionist" strategy was to first understand the binary interactions (e.g. polymer/surfactant and polymer/particle) before reassembling the ternary mixture. SANS - using contrast variation - was a key element to this success. Here, we wish to continue this approach, turning our attention to a somewhat more challenging situation, ionic species. We wish to explore the interaction of anionic particles with cationic polymers, whose charge density is controlled both through the degree of cationic modification and the presence of anionic surfactants.

Principal Investigator: Professor Peter Griffiths
Experimenter: Mr Wasiu Abdullahi
Experimenter: Dr Omar Mansour
Local Contact: Dr Adam Washington
Experimenter: Mr Wasiu Abdullahi

DOI: 10.5286/ISIS.E.RB1910084

ISIS Experiment Number: RB1910084

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 Peter Griffiths et al; (2019): Competitive interactions in polymer-particle-surfactant blends, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1910084

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