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.


Probing the effect of carbon chain length of hydrophobically modified polymer on interaction with lattices of different surface chemistries.

Abstract: Competitive interaction exist in many formulations, especially in the case of hydrophobically modified polymers (HMPs), surfactants, and particles of differing surface hydrophobicities. Here we wish to explore the solution structure of HMPs in the presence of a series of particles to probe the relative effects of polymer-polymer association and polymer-particle adsorption. This proposal focusing on binary systems (polymer/particle) should be read in conjunction with two others being submitted in this round where we examine the (other) binary polymer/surfactant system and ultimately, the ternary system; polymer/surfactant/particles.

Principal Investigator: Professor Peter Griffiths
Local Contact: Dr Sarah Rogers
Experimenter: Miss Mervat Ibrahim
Experimenter: Miss Leesa Patel
Local Contact: Dr Robert Dalgliesh
Experimenter: Miss Quyen To Nguyenova

DOI: 10.5286/ISIS.E.RB1620114

ISIS Experiment Number: RB1620114

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.84424157 SANS2D 23 March 2020 Download
10.5286/ISIS.E.85254184 LARMOR 13 March 2020 Download
- LOQ 02 March 2020 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 Peter Griffiths et al; (2017): Probing the effect of carbon chain length of hydrophobically modified polymer on interaction with lattices of different surface chemistries., STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1620114

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



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