Moisture Sensitive Smart Yarns and Textiles from Self-Balanced Silk Fiber Muscles

Moisture Sensitive Smart Yarns and Textiles from Self-Balanced Silk Fiber Muscles
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来自自平衡丝纤维肌肉的湿敏智能纱线和纺织品

DOI:
10.1002/adfm.201808241
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发表时间:
2019-05-02
影响因子:
19
通讯作者:
Liu, Zunfeng
Liu, Zunfeng
中科院分区:
材料科学1区
文献类型:
--
作者:
Jia, Tianjiao;Wang, Yang;Liu, Zunfeng

文献摘要

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能够感知、交互和适应环境刺激的智能纺织品为各种应用提供了令人兴奋的新机会。然而,由于成本高、制造复杂以及环境敏感材料的不舒适性,目前的进展很大程度上仍停留在研究阶段。相比之下,天然纺织材料因其低成本和舒适性的优点而对智能纺织品更具吸引力。在此,报道了热定形加捻、卷曲、合股丝纤维以及由这些丝纤维编织的纺织品的水雾和湿度驱动的扭转和拉伸驱动。当暴露在水雾中时,扭转丝纤维可提供 547 度 mm(-1) 的完全可逆扭转行程。当相对湿度从 20% 变为 80% 时,卷绕热固性丝纱可提供 70% 的收缩。如此出色的驱动行为源于吸水引起的丝蛋白内氢键的损失以及相关的结构转变,这已通过丝的原子和宏观表征以及分子动力学模拟得到证实。凭借其丰富性、成本效益和佩戴舒适性,丝肌将为智能纺织品和软机器人等工业应用开辟更多可能性。
Smart textiles that sense, interact, and adapt to environmental stimuli have provided exciting new opportunities for a variety of applications. However, current advances have largely remained at the research stage due to the high cost, complexity of manufacturing, and uncomfortableness of environment-sensitive materials. In contrast, natural textile materials are more attractive for smart textiles due to their merits in terms of low cost and comfortability. Here, water fog and humidity-driven torsional and tensile actuation of thermally set twisted, coiled, plied silk fibers, and weave textiles from these silk fibers are reported. When exposed to water fog, the torsional silk fiber provides a fully reversible torsional stroke of 547 degrees mm(-1). Coiled-and-thermoset silk yarns provide a 70% contraction when the relative humidity is changed from 20% to 80%. Such an excellent actuation behavior originates from water absorption-induced loss of hydrogen bonds within the silk proteins and the associated structural transformation, which are corroborated by atomistic and macroscopic characterization of silk and molecular dynamics simulations. With its large abundance, cost-effectiveness, and comfortability for wearing, the silk muscles will open up additional possibilities in industrial applications, such as smart textiles and soft robotics.