Akmal Z Umarov, Joseph Collins, Evgeniia A Nikitina, Ioannis Moutsios, Martin Rosenthal, Andrey V Dobrynin, Sergei S Sheiko, Dimitri A Ivanov
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引用次数: 0
摘要
瓶丛共聚物的自组装网络具有软生物组织所特有的超柔软性和应变适应刚性的独特组合,是一种很有前景的生物医学应用材料。从 ABA 线性-毛刷线性三嵌段共聚物过渡到 A-g-B 瓶丛接枝共聚物结构,可以显著提高热塑性弹性体的机械强度。研究利用实时同步加速器小角 X 射线散射技术表明,在线性 A 嵌段的选择性溶剂中对 A-g-B 弹性体进行退火处理,可大幅重构网络,从而增加 A 结构域的尺寸和结构域之间的距离。聚集数的相应增加和底层链的延伸导致应变刚度参数显著增加,最高可达 0.7,接近大脑和皮肤组织的特征值。无需拆卸的网络重组是调整组织模拟材料机械性能的有效方法,可满足各种生物医学应用的需要。
Enhancing the Biomimetic Mechanics of Bottlebrush Graft-Copolymers through Selective Solvent Annealing.
Self-assembled networks of bottlebrush copolymers are promising materials for biomedical applications due to a unique combination of ultra-softness and strain-adaptive stiffening, characteristic of soft biological tissues. Transitioning from ABA linear-brush-linear triblock copolymers to A-g-B bottlebrush graft copolymer architectures allows significant increasing the mechanical strength of thermoplastic elastomers. Using real-time synchrotron small-angle X-ray scattering, it is shown that annealing of A-g-B elastomers in a selective solvent for the linear A blocks allows for substantial network reconfiguration, resulting in an increase of both the A domain size and the distance between the domains. The corresponding increases in the aggregation number and extension of bottlebrush strands lead to a significant increase of the strain-stiffening parameter up to 0.7, approaching values characteristic of the brain and skin tissues. Network reconfiguration without disassembly is an efficient approach to adjusting the mechanical performance of tissue-mimetic materials to meet the needs of diverse biomedical applications.
期刊介绍:
Macromolecular Rapid Communications publishes original research in polymer science, ranging from chemistry and physics of polymers to polymers in materials science and life sciences.