Choi Nok-Young, Lendlein Andreas
BASF AG, Sales Engineering Plastics, 67056 Ludwigshafen, Germany.
Center for Biomaterial Development, Institute of Polymer Research, GKSS Research Center Geesthacht GmbH, Kantstr. 55, 14513 Teltow, Germany.
Soft Matter. 2007 Jun 19;3(7):901-909. doi: 10.1039/b702515g.
In this paper degradable shape-memory polymer networks synthesized from oligo[(-lactide)--glycolide]dimethaycrylates are introduced. The macrodimethacrylates are prepared a two-step synthesis: hydroxy telechelic oligo[(-lactide)--glycolide]s with number average molecular weights ranging from 1000 to 5700 g mol were synthesized by ring-opening polymerization from ,-dilactide, diglycolide and ethylene glycol as initiator using dibutyltin oxide as the catalyst. These oligodiols are reacted with methacryloyl chloride resulting in terminal methacrylate groups. Crosslinking of macrodimethacrylates is performed under exposure to UV light without applying a photo initiator. The polymer networks obtained are transparent and hydrolytically degradable. While the mechanical properties at temperatures higher than depend on crosslinking density, is almost constant at about 55 °C. The shape-memory functionality of the amorphous polymer network was investigated by cyclic, thermomechanical tests under the systematic variation of different programming parameters. Good shape-memory properties with strain recovery rates close to 100% were obtained under stress-controlled programming. Under strain-controlled conditions, it needs to be considered that relatively high stresses can be generated during programming. Potential biomedical applications are intelligent implants or smart drug release systems.
本文介绍了由聚(丙交酯 - 乙交酯)二甲基丙烯酸酯合成的可降解形状记忆聚合物网络。大分子二甲基丙烯酸酯通过两步合成法制备:以1,4 - 丁二醇为引发剂,使用二丁基氧化锡作为催化剂,通过开环聚合由丙交酯、乙交酯和乙二醇合成数均分子量在1000至5700 g/mol范围内的羟基封端的聚(丙交酯 - 乙交酯)。这些低聚二醇与甲基丙烯酰氯反应,生成末端甲基丙烯酸酯基团。大分子二甲基丙烯酸酯在不使用光引发剂的情况下,通过紫外线照射进行交联。所得的聚合物网络是透明且可水解降解的。虽然高于特定温度时的机械性能取决于交联密度,但在约55°C时几乎保持恒定。通过在不同编程参数的系统变化下进行循环热机械测试,研究了无定形聚合物网络的形状记忆功能。在应力控制编程下获得了应变恢复率接近100%的良好形状记忆性能。在应变控制条件下,需要考虑在编程过程中会产生相对较高的应力。潜在的生物医学应用包括智能植入物或智能药物释放系统。