重建了基于可逆的二次结构转换的具有形状记忆特征的层次结构胺纤维
Xiaoyun Xu1, Zhuang Wang1, Min Li1
1Department of Biomedical Engineering, City University of Hong Kong, Hong Kong SAR, 999077, China.
Advanced materials (Deerfield Beach, Fla.)
|July 7, 2023
概括
研究人员从羊毛和纤维素中开发出再生的胺纤维,这些纤维素表现出水触发的形状记忆效应. 这些环保的智能纤维具有出色的形状恢复和稳定性,为智能织品和生物医学设备铺平了道路.
科学领域:
- 材料科学 材料科学 材料科学
- 聚合物科学 聚合物科学
- 生物材料是一种生物材料.
背景情况:
- 生物相容和可生物降解的形状记忆聚合物是具有各种应用和环境优势的先进智能材料.
- 氨酸是一种天然蛋白质,纤维素是丰富的生物聚合物,具有可持续材料开发的潜力.
研究的目的:
- 为了研究从羊毛和纤维素中制造再生的,水触发的形状记忆的胺纤维.
- 评估这些新型胺纤维的形状记忆性能,水稳定性和执行机制.
主要方法:
- 复合基拉丁纤维的制造,其中包含纤维素.
- 形状记忆性质的表征,包括形状固定率和形状恢复率.
- 分析蛋白质的二次结构重构 (α-螺旋到β-片) 作为对水化和机械负荷的反应.
主要成果:
- 再生的酸纤维显示出显著的形状记忆性能,形状固定率为94.8%,形状恢复率为81.4%.
- 这些纤维具有出色的水稳定性和湿延伸性 (最大拉伸力为362%).
- 形状记忆效应归因于质蛋白的二次结构的可逆重构,由水分子与键相互作用触发.
结论:
- 再生酸纤维为水触发形状记忆材料提供了可持续和有效的途径.
- 键,二硫化键和纤维素纳米晶体的相互作用决定了形状记忆行为和材料稳定性.
- 这些纤维有可能用于智能织执行器,智能服装和可编程生物医学设备.
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