Supramolecular Self‐Sorting Networks using Hydrogen‐Bonding Motifs. Issue 3 (13th December 2018)

• Record Type: Journal Article
• Authors: Coubrough, Heather M.; van der Lubbe, Stephanie C. C.; Hetherington, Kristina; Minard, Aisling; Pask, Christopher; Howard, Mark J.; Fonseca Guerra, Célia; Wilson, Andrew J.
• Is Part Of: Chemistry. Volume 25:Issue 3(2019)
• Page Start: 785
• Page End: 795
• Publication Date: 2018-12-13
• Subjects: biomimetic chemistry -- hydrogen bonding -- molecular recognition -- self-sorting -- supramolecular chemistry; Chemistry -- Periodicals; 540
• DOI: 10.1002/chem.201804791
• Languages: English
• ISSNs: 0947-6539

Abstract

Abstract: 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. Abstract : H‐bonds in action ! A self‐sorting network, comprising linear hydrogen motifs, has been created whereby six hydrogen‐bonding motifs, capable of both high‐fidelity and promiscuous molecular recognition, give rise to a complex self‐sorting system.