Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-6015
Authors: Loescher, Sebastian
Walther, Andreas
Title: Multivalency pattern recognition to sort colloidal assemblies
Online publication date: 22-Jun-2021
Year of first publication: 2021
Language: english
Abstract: Multivalent interaction is an important principle for self-assembly and has been widely used to assemble colloids. However, surface binding partners are statistically distributed, which falls short of the interaction possibilities arising from geometrically controlled multivalency patterns as seen in viruses. Herein, the precision provided by 3D DNA origami is exploited to introduce multivalency pattern recognition via designing geometrically precise interaction patterns at patches of patchy nanocylinders. This gives rise to self-sorting of colloidal assemblies despite having the same type and number of supramolecular binding motifs—solely based on the pattern located on a 20 × 20 nm2 cross-section. The degree of sorting can be modulated by the geometric overlap of patterns and homo; mixed and alternating supracolloidal polymerizations are demonstrated. Multivalency patterns are able to provide an additional information layer to organize soft matter, important towards engineering of biological responses and functional materials design.
DDC: 540 Chemie
540 Chemistry and allied sciences
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 09 Chemie, Pharmazie u. Geowissensch.
Place: Mainz
ROR: https://ror.org/023b0x485
DOI: http://doi.org/10.25358/openscience-6015
Version: Published version
Publication type: Zeitschriftenaufsatz
License: CC BY-NC-ND
Information on rights of use: https://creativecommons.org/licenses/by-nc-nd/4.0/
Journal: Small
17
5
Pages or article number: 2005668
Publisher: Wiley-VCH
Publisher place: Weinheim
Issue date: 2021
ISSN: 1613-6829
Publisher URL: https://doi.org/10.1002/smll.202005668
Publisher DOI: 10.1002/smll.202005668
Appears in collections:JGU-Publikationen

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