Supramolecular Self-Sorting Networks using Hydrogen-Bonding Motifs
Supramolecular Self-Sorting Networks using Hydrogen-Bonding Motifs
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DOI：
10.1002/chem.201804791
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发表时间：
2019-01-14
影响因子：
4.3
通讯作者：
Wilson, Andrew J.
中科院分区：
文献类型：
--
作者：
Coubrough, Heather M.;van der Lubbe, Stephanie C. C.;Wilson, Andrew J.
超分子化学目前的目标是模拟复杂的自分类系统之间的转换，代表了自然界中的调节功能的标志。在这项工作中，创建了一个自排序网络，包括线性氢基序。选择六个能够高保真和混杂分子识别的氢键基序产生了一个复杂的自我分类系统，其中包括能够自恋和社会自我分类的基序。通过实验和计算对单个组分之间的相互作用进行检查，为级联每个阶段的产品分布提供了依据。这种推理通过六个构建块的五个连续添加来实现，从而构建了一个仿生网络，其中不同组件的存在或不存在为不同的自排序配置提供了多个独特的路径。
A current objective in supramolecular chemistry is to mimic the transitions between complex self-sorted systems that represent a hallmark of regulatory function in nature. In this work, a self-sorting network, comprising linear hydrogen motifs, was created. Selecting six hydrogen-bonding motifs capable of both high-fidelity and promiscuous molecular recognition gave rise to a complex self-sorting system, which included motifs capable of both narcissistic and social self-sorting. Examination of the interactions between individual components, experimentally and computationally, provided a rationale for the product distribution during each phase of a cascade. This reasoning holds through up to five sequential additions of six building blocks, resulting in the construction of a biomimetic network in which the presence or absence of different components provides multiple unique pathways to distinct self-sorted configurations.