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由精密大分子构成的超分子催化剂的动态自组装

Dynamic self-assembly of supramolecular catalysts from precision macromolecules.

作者信息

Qin Qian, Li Jie, Dellemme David, Fossépré Mathieu, Barozzino-Consiglio Gabriella, Nekkaa Imane, Boborodea Adrian, Fernandes Antony E, Glinel Karine, Surin Mathieu, Jonas Alain M

机构信息

Institute of Condensed Matter and Nanosciences, Université catholique de Louvain Croix du Sud 1 L7.04.02, Louvain-la-Neuve Belgium

Laboratory for Chemistry of Novel Materials, Université de Mons - UMONS Avenue Maistriau, 17 B-7000 Mons Belgium

出版信息

Chem Sci. 2023 Aug 16;14(35):9283-9292. doi: 10.1039/d3sc03133k. eCollection 2023 Sep 13.

Abstract

We show the emergence of strong catalytic activity at low concentrations in dynamic libraries of complementary sequence-defined oligomeric chains comprising pendant functional catalytic groups and terminal recognition units. In solution, the dynamic constitutional library created from pairs of such complementary oligomers comprises free oligomers, self-assembled di(oligomeric) macrocycles, and a virtually infinite collection of linear poly(oligomeric) chains. We demonstrate, on an exemplary catalytic system requiring the cooperation of no less than five chemical groups, that supramolecular di(oligomeric) macrocycles exhibit a catalytic turnover frequency 20 times larger than the whole collection of linear poly(oligomers) and free chains. Molecular dynamics simulations and network analysis indicate that self-assembled supramolecular di(oligomeric) macrocycles are stabilized by different interactions, among which chain end pairing. We mathematically model the catalytic properties of such complex dynamic libraries with a small set of physically relevant parameters, which provides guidelines for the synthesis of oligomers capable to self-assemble into functionally-active supramolecular macrocycles over a larger range of concentrations.

摘要

我们展示了在包含侧链功能性催化基团和末端识别单元的互补序列定义的寡聚链动态文库中,低浓度下强催化活性的出现。在溶液中,由这种互补寡聚物对形成的动态组成文库包含游离寡聚物、自组装二(寡聚)大环以及几乎无限的线性聚(寡聚)链集合。我们在一个需要不少于五个化学基团协同作用的示例性催化系统上证明,超分子二(寡聚)大环的催化周转频率比线性聚(寡聚物)和游离链的整个集合大20倍。分子动力学模拟和网络分析表明,自组装超分子二(寡聚)大环通过不同的相互作用得以稳定,其中包括链端配对。我们用一小组物理相关参数对这种复杂动态文库的催化性质进行数学建模,这为合成能够在更大浓度范围内自组装成功能活性超分子大环的寡聚物提供了指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccc7/10498719/df00dd9b3ec0/d3sc03133k-f1.jpg

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