ISIS Neutron and Muon Source Data Journal

Aggregation of random co-polymers

Abstract: This proposal builds upon the successful study of a cationic copolymer capable of forming polymer micellar-like aggregates, simply by reducing pH (D33 at ILL 9-12-433 see report). Moreover, the size of aggregates could be tuned by adjusting pH during polymerisation. The copolymer system is comprised of a small mol. % (5-17) N, N-dimethylaminoethyl methacrylate (DMAEMA) copolymerised with methyl methacylate (MMA). This type of copolymer is significant for offering a simplified and direct route to cationic aggregates, as compared with common block copolymers. The proposal prompts a re-think of the general approach: can the careful design of random (surface-active) copolymers, offer similar control over aggregations, circumventing the need for harder to prepare block copolymers?

Principal Investigator: Professor Julian Eastoe
Experimenter: Mr Miguel Hinojosa Navarro
Experimenter: Mr Jonny Pegg
Experimenter: Mr Christopher Hill
Experimenter: Miss Jocelyn Peach
Experimenter: Dr Adam Czajka
Local Contact: Dr Sarah Rogers

DOI: 10.5286/ISIS.E.RB1620033

ISIS Experiment Number: RB1620033

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; (2016): Aggregation of random co-polymers, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1620033

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