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Multivalency Pattern Recognition to Sort Colloidal Assemblies
Author(s) -
Loescher Sebastian,
Walther Andreas
Publication year - 2021
Publication title -
small
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.785
H-Index - 236
eISSN - 1613-6829
pISSN - 1613-6810
DOI - 10.1002/smll.202005668
Subject(s) - nanotechnology , supramolecular chemistry , sorting , sort , soft matter , colloid , biological system , self assembly , materials science , computer science , chemical physics , chemistry , molecule , biology , algorithm , organic chemistry , information retrieval
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 nm 2 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.