Chemically programmed self-sorting of gelator networks
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Morris, Kyle L., Chen, Lin, Raeburn, Jaclyn, Sellick, Owen R., Cotanda, Pepa, Paul, Alison, Griffiths, Peter C. 
ORCID: 0000-0002-6686-1271, King, Stephen M., O'Reilly, Rachel K., Serpell, Louise C. and Adams, Dave J.
(2013)
Chemically programmed self-sorting of gelator networks.
Nature Communications, 4:1480.
ISSN 2041-1723
(doi:10.1038/ncomms2499)
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9973_Griffiths_Chemically programmed self sorting (pub PDF OA) 2013.pdf - Published Version Available under License Creative Commons Attribution. Download (902kB) | Preview |
Abstract
Controlling the order and spatial distribution of self-assembly in multicomponent supramolecular systems could underpin exciting new functional materials, but it is extremely challenging. When a solution of different components self-assembles, the molecules can either coassemble, or self-sort, where a preference for like-like intermolecular interactions results in coexisting, homomolecular assemblies. A challenge is to produce generic and controlled ‘one-pot’ fabrication methods to form separate ordered assemblies from ‘cocktails’ of two or more self-assembling species, which might have relatively similar molecular structures and chemistry. Self-sorting in supramolecular gel phases is hence rare. Here we report the first example of the pH-controlled self-sorting of gelators to form self-assembled networks in water. Uniquely, the order of assembly can be predefined. The assembly of each component is preprogrammed by the pKa of the gelator. This pH-programming method will enable higher level, complex structures to be formed that cannot be accessed by simple thermal gelation.
| Item Type: | Article |
|---|---|
| Additional Information: | Nature Communications is an open access journal. |
| Uncontrolled Keywords: | chemical sciences, materials science, organic chemistry |
| Subjects: | Q Science > QD Chemistry |
| Pre-2014 Departments: | School of Science |
| Related URLs: | |
| Last Modified: | 28 Oct 2016 11:31 |
| Selected for GREAT 2016: | None |
| Selected for GREAT 2017: | None |
| Selected for GREAT 2018: | None |
| URI: | http://gala.gre.ac.uk/id/eprint/9973 |
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