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多价模式识别以对胶体组装体进行分类。

Multivalency Pattern Recognition to Sort Colloidal Assemblies.

机构信息

Institute for Macromolecular Chemistry, University of Freiburg, Stefan-Meier-Strasse 31, 79104, Freiburg, Germany.

Freiburg Materials Research Center, University of Freiburg, Stefan-Meier-Strasse 21, 79104, Freiburg, Germany.

出版信息

Small. 2021 Feb;17(5):e2005668. doi: 10.1002/smll.202005668. Epub 2021 Jan 15.

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 nm 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.

摘要

多价相互作用是自组装的一个重要原则,已被广泛用于胶体组装。然而,表面结合配体在统计学上是分布的,这与病毒中出现的几何控制的多价模式的相互作用可能性相差甚远。在此,通过在有图案的纳米圆柱的斑块上设计几何精确的相互作用模式,利用 3D DNA 折纸提供的精度来引入多价模式识别。这导致胶体组装的自分类,尽管具有相同类型和数量的超分子结合基序-仅仅基于位于 20×20nm 横截面的图案。通过图案和同型的几何重叠程度可以调节分类程度;混合和交替超胶体聚合得到了证明。多价模式能够提供一个额外的信息层来组织软物质,这对于生物响应的工程和功能材料设计非常重要。

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