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.


Formation of cellulose-starch gels: effect of cellulose source and surfactants

Abstract: This proposal forms part of an ongoing project concerning interpenetrating network gels of starch and cellulose being developed towards applications in personal care and agrochemicals based on the interests of our industrial partners. Addition of soluble starch polymers to partially oxidised cellulose (oxcel) suspensions creates gels with increased viscosities over single component suspensions. We aim to build on our previous studies of oxcel gels by determining changes in gel network structure and properties when soluble starch, anionic surfactant and salts (which are known to gel the oxcel fibrils), are added. Selective deuteration will enable us to highlight oxcel gel structures, the starch network and the location of starch and anionic surfactant within the oxcel network. Structural results will be combined with rheological measurements to improve formulation using these materials.

Principal Investigator: Professor Karen Edler
Experimenter: Dr Marcelo da Silva
Experimenter: Mr Vincenzo Calabrese
Experimenter: Dr Julien Schmitt
Local Contact: Dr Diego Alba Venero

DOI: 10.5286/ISIS.E.RB1720206

ISIS Experiment Number: RB1720206

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.87815359 SANS2D 09 October 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 Karen Edler et al; (2017): Formation of cellulose-starch gels: effect of cellulose source and surfactants, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1720206

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



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