首页> 外文期刊>Journal of Materials Chemistry, A. materials for energy and sustainability >“Polymer to polymer” recycling and body-temperature triggered shape memory of a carvone-based epoxy thermoset system achieved using a thiol-Michael covalent adaptable network
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“Polymer to polymer” recycling and body-temperature triggered shape memory of a carvone-based epoxy thermoset system achieved using a thiol-Michael covalent adaptable network

机译:使用巯基-Michael 共价自适应网络实现的基于 Carvone 的环氧树脂热固性系统的“聚合物到聚合物”回收和体温触发的形状记忆

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Environmental economics is intensifying the necessity for the advancement of recycling technologies to address the increasing volume of discarded thermoset polymers. Covalent adaptable networks (CANs) provide a new strategy for the recycling and functionalization of thermosetting resins. Herein, a carvone-based CAN is developed, in which thermally driven depolymerization of mechanically robust polymer networks is achieved by dynamic thiol-Michael bonds. The original cross-linking network can be retained through simple drying and hot-pressing steps without purifying degradation products. The reversibility of the thiol-Michael group is demonstrated and the CAN exhibits shape memory behaviors triggered by human body temperature. We propose a micro-robotic injection model with good mechanical strength and fast response speed for complex 1D to 3D shape morphing in aqueous media at 37 °C. Our findings present a high-quality strategy to realize recycling and functionalization of bio-based thermoset resins and expand the toolbox for the preparation of bio-based CANs with thermo-responsive behavior.
机译:环境经济学正在加强改进回收技术以解决日益增加的废弃热固性聚合物问题的必要性。共价适应性网络 (CAN) 为热固性树脂的回收和功能化提供了一种新策略。在此,开发了一种基于香芹酮的 CAN,其中通过动态巯基-迈克尔键实现了机械稳健聚合物网络的热驱动解聚。通过简单的干燥和热压步骤,可以保留原来的交联网络,而无需纯化降解产物。证明了巯基-迈克尔群的可逆性,并且 CAN 表现出由人体温度触发的形状记忆行为。我们提出了一种具有良好机械强度和快速响应速度的微型机器人注射模型,用于 37 °C 水介质中复杂的 1D 到 3D 形状变形。 我们的研究结果提出了一种实现生物基热固性树脂回收和功能化的高质量策略,并扩展了制备具有热响应行为的生物基 CAN 的工具箱。

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