Zhenjie Yang, Chenyang Hu, Xuan Pang, Liwen Zhang, Ruirui Qiao, Thomas P. Davis, Shunjie Liu, Xianhong Wang, Xuesi Chen
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引用次数: 0
Abstract
Degradable and self-healing polymers are considered next-generation materials since they can tackle both the end-of-life issues and the long-standing longevity of synthetic materials. Here, we design a series of aliphatic polyester-polycarbonate copolymers combining degradability and self-healability using commodity monomers comprising ε-caprolactone (ε-CL), cyclohexene oxide (CHO), and CO2. These copolymers are synthesized by random copolymerization catalyzed by a dinuclear salen-Mn catalyst under low CO2 pressure, affording randomly distributed carbonate units on a poly(ε-caprolactone) (PCL) chain. High molar mass copolymers with controllable components and microstructures are obtained by regulating the reaction conditions. Different from corresponding triblock copolymers, the random copolymers exhibit autonomous self-healing capability under ambient or even harsh conditions without any external intervention. The outperformance of random copolymers in self-healing is ascribed to the interchain diffusion and reconstruction of nanodomains. This sequence regulation method may serve as a general facile strategy for the design and synthesis of other self-healing copolymers.
期刊介绍:
Macromolecules publishes original, fundamental, and impactful research on all aspects of polymer science. Topics of interest include synthesis (e.g., controlled polymerizations, polymerization catalysis, post polymerization modification, new monomer structures and polymer architectures, and polymerization mechanisms/kinetics analysis); phase behavior, thermodynamics, dynamic, and ordering/disordering phenomena (e.g., self-assembly, gelation, crystallization, solution/melt/solid-state characteristics); structure and properties (e.g., mechanical and rheological properties, surface/interfacial characteristics, electronic and transport properties); new state of the art characterization (e.g., spectroscopy, scattering, microscopy, rheology), simulation (e.g., Monte Carlo, molecular dynamics, multi-scale/coarse-grained modeling), and theoretical methods. Renewable/sustainable polymers, polymer networks, responsive polymers, electro-, magneto- and opto-active macromolecules, inorganic polymers, charge-transporting polymers (ion-containing, semiconducting, and conducting), nanostructured polymers, and polymer composites are also of interest. Typical papers published in Macromolecules showcase important and innovative concepts, experimental methods/observations, and theoretical/computational approaches that demonstrate a fundamental advance in the understanding of polymers.