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用于缔合共价适应性网络的无催化剂动态共价C=C/C=N复分解反应

Catalyst-Free Dynamic Covalent C=C/C=N Metathesis Reaction for Associative Covalent Adaptable Networks.

作者信息

Li Pengyun, Jiang Xin, Gu Ruirui, Tian He, Qu Da-Hui

机构信息

Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, Frontiers Science Center for Materiobiology and Dynamic Chemistry, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237, P. R. China.

出版信息

Angew Chem Int Ed Engl. 2024 Aug 12;63(33):e202406708. doi: 10.1002/anie.202406708. Epub 2024 Jul 16.

DOI:10.1002/anie.202406708
PMID:38828797
Abstract

Covalent adaptable networks (CANs), leveraging the dynamic exchange of covalent bonds, emerge as a promising material to address the challenge of irreversible cross-linking in thermosetting polymers. In this work, we explore the introduction of a catalyst-free and associative C=C/C=N metathesis reaction into thermosetting polyurethanes, creating CANs with superior stability, solvent resistance, and thermal/mechanical properties. By incorporating this dynamic exchange reaction, stress-relaxation is significantly accelerated compared to imine-bond-only networks, with the rate adjustable by modifying substituents in the ortho position of the dynamic double bonds. The obtained plasticity enables recycle without altering the chemical structure or mechanical properties, and is also found to be vital for achieving shape memory functions with complex spatial structures. This metathesis reaction as a new dynamic crosslinker of polymer networks has the potential to accelerate the ongoing exploration of malleable and functional thermoset polymers.

摘要

共价自适应网络(CANs)利用共价键的动态交换,成为解决热固性聚合物不可逆交联挑战的一种有前途的材料。在这项工作中,我们探索将无催化剂且具有缔合性的C=C/C=N复分解反应引入热固性聚氨酯中,从而制备出具有卓越稳定性、耐溶剂性以及热/机械性能的CANs。通过引入这种动态交换反应,与仅含亚胺键的网络相比,应力松弛显著加速,且速率可通过改变动态双键邻位的取代基进行调节。所获得的可塑性使得材料能够在不改变化学结构或机械性能的情况下进行回收利用,并且还发现其对于实现具有复杂空间结构的形状记忆功能至关重要。这种复分解反应作为聚合物网络的一种新型动态交联剂,有潜力加速对可延展且功能性热固性聚合物的持续探索。

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