Suppr超能文献

基于肟-脲键交换反应的聚丙烯酸酯共价自适应网络

Covalent Adaptable Networks from Polyacrylates Based on Oxime-Urethane Bond Exchange Reaction.

作者信息

Sotoyama Yu, Iwata Naoto, Furumi Seiichi

机构信息

Department of Chemistry, Graduate School of Science, Tokyo University of Science, 1-3 Kagurazaka, Shinjuku, Tokyo 162-8601, Japan.

出版信息

Int J Mol Sci. 2024 Nov 30;25(23):12897. doi: 10.3390/ijms252312897.

Abstract

Covalent adaptable networks (CANs) are polymer networks cross-linked via dynamic covalent bonds that can proceed with bond exchange reactions upon applying external stimuli. In this report, a series of cross-linked polyacrylate films were fabricated by changing the combination of acrylate monomer and the amount of diacrylate cross-linker possessing oxime-urethane bonds as a kind of dynamic covalent bond to evaluate their rheological relaxation properties. Model analysis of the experimental relaxation curves of cross-linked polyacrylate films was conducted by assuming that they consist of two types of relaxation, one of which is related to the oxime-urethane bond exchange reaction, and another of which is associated with the melting of the aggregated cross-linker. It was found that the contribution from the relaxation due to the bond exchange reaction becomes dominant only when the normal-alkyl acrylates are used as a monomer. The relaxation time was almost constant even when the amount of the cross-linker was adjusted. Moreover, it was also indicated that the miscibility of the cross-linker is very important for the fabrication of CANs with good self-healing ability and reprocessability.

摘要

共价自适应网络(CANs)是通过动态共价键交联的聚合物网络,在施加外部刺激时可进行键交换反应。在本报告中,通过改变丙烯酸酯单体的组合以及具有肟-聚氨酯键(作为一种动态共价键)的二丙烯酸酯交联剂的用量,制备了一系列交联聚丙烯酸酯薄膜,以评估其流变松弛性能。通过假设交联聚丙烯酸酯薄膜由两种类型的松弛组成,对其实验松弛曲线进行了模型分析,其中一种与肟-聚氨酯键交换反应有关,另一种与聚集交联剂的熔化有关。结果发现,只有当正烷基丙烯酸酯用作单体时,键交换反应引起的松弛贡献才占主导地位。即使调整交联剂的用量,松弛时间几乎保持不变。此外,还表明交联剂的混溶性对于制备具有良好自愈能力和可再加工性的CANs非常重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29fe/11641462/630b54234e90/ijms-25-12897-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验