TY - JOUR
T1 - Moisture Sensitive Smart Yarns and Textiles from Self-Balanced Silk Fiber Muscles
AU - Jia, Tianjiao
AU - Wang, Yang
AU - Dou, Yuanyuan
AU - Li, Yaowang
AU - Jung de Andrade, Monica
AU - Wang, Run
AU - Fang, Shaoli
AU - Li, Jingjing
AU - Yu, Zhou
AU - Qiao, Rui
AU - Liu, Zhuangjian
AU - Cheng, Yuan
AU - Su, Yewang
AU - Minary-Jolandan, Majid
AU - Baughman, Ray H.
AU - Qian, Dong
AU - Liu, Zunfeng
N1 - Funding Information:
T. Jia, Y. Dou, J. Li, Prof. Z. Liu State Key Laboratory of Medicinal Chemical Biology Key Laboratory of Functional Polymer Materials College of Pharmacy Nankai University Tianjin 300071, China E-mail: liuzunfeng@nankai.edu.cn Y. Wang, Prof. D. Qian, Prof. M. Minary-Jolandan Department of Mechanical Engineering University of Texas at Dallas Richardson, TX 75080, USA Dr. Y. Li School of Life Sciences Tsinghua University Beijing 100084, China Dr. M. Jung de Andrade, Dr. S. Fang, Prof. R. H. Baughman Alan G. MacDiarmid NanoTech Institute University of Texas at Dallas Richardson, TX 75080, USA R. Wang College of Electronic Information and Optics Engineering Nankai University Tianjin 300071, China Z. Yu, Prof. R. Qiao Center for Soft Matter and Biological Physics Virginia Tech Blacksburg, VA 24061, USA Prof. Z. Liu, Prof. Y. Cheng Institute of High Performance Computing Agency for Science Technology and Research (A*STAR) Singapore 138632, Singapore Prof. Y. Su State Key Laboratory of Nonlinear Mechanics Institute of Mechanics Chinese Academy of Sciences Beijing 100190, China Prof. Y. Su School of Engineering Science University of Chinese Academy of Sciences Beijing 100049, China Prof. Y. Su Beijing Key Laboratory of Engineered Construction and Mechanobiology Institute of Mechanics Chinese Academy of Sciences Beijing 100190, China The ORCID identification number(s) for the author(s) of this article can be found under https://doi.org/10.1002/adfm.201808241.
Funding Information:
This work was supported by the Science Foundation for Distinguished Young Scholars of Tianjin (Grant No. 18JCJQJC46600), the National Key Research and Development Program of China (2017YFB0307000), the National Natural Science Foundation of China (Grant Nos. U1533122 and 51773094), the Natural Science Foundation of Tianjin (Grant No. 18JCZDJC36800), the Fundamental Research Funds for the Central Universities (63171219), the Science and Technology Support Program of Changzhou (CZ20170007), the State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, Donghua University (LK1704), China Postdoctoral Science Foundation Funded Project (Grant No. 2017M620752), and the National Science Foundation (Grant No. CMMI 1727960).
Publisher Copyright:
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
PY - 2019/5/2
Y1 - 2019/5/2
N2 - 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° 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.
AB - 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° 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.
KW - silk fiber
KW - smart textile
KW - soft robot
KW - tensile muscle
KW - torsional muscle
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U2 - 10.1002/adfm.201808241
DO - 10.1002/adfm.201808241
M3 - Article
AN - SCOPUS:85062684237
SN - 1616-301X
VL - 29
JO - Advanced Functional Materials
JF - Advanced Functional Materials
IS - 18
M1 - 1808241
ER -