材料科学
丝绸
超细纤维
静电纺丝
生物电子学
膜
纳米技术
纳米纤维
丝素
接口
生物相容性
韧性
生物高聚物
复合材料
仿生学
断裂韧性
分层(地质)
断裂(地质)
生物医学工程
偏转(物理)
脆性
纳米结构
组织工程
铰链
微电子机械系统
弹性(物理)
软机器人
纳米材料
智能材料
弯曲
软物质
断裂力学
生物材料
纤维
作者
Xihua Pan,Yuxing Wang,Yuzhe Zhong,Pengle Cao,Jie Yang,Yongjia Li,Shenzhou Lu,Xinglong Pan,Ghim Wei Ho,Haitao Yang,Xiao‐Qiao Wang
摘要
ABSTRACT Epidermal bioelectronics hinges critically on the skin‐adaptive and robust device‐epidermal interface, creating a high demand for soft functional polymers. Natural biopolymers like silk are ideal interfacing materials due to their biocompatibility and sustainability, yet engineering them into tough, thin, and permeable membranes adapting to skin remains a challenge. To overcome this, we report an ultratough and stretchable silk protein fibrous membrane (SPFM). Through a combined strategy of electrospinning and hygroscopicity‐driven crystallization, ionic‐conductive SPFM is engineered with a hierarchical architecture composing of aligned microfibers and a randomly entangled peptide network sparsely crosslinked by β ‐sheet nanocrystals, overcoming the intrinsic brittleness of natural silk. The resulting SPFM with a thickness of ≈19 µm, exhibits a fracture strain of 220%, a fracture stress of 9.88 MPa, a toughness of 14.97 MJ m −3 , and an ultrahigh fracture energy of 98.18 kJ m −2 based on special crack deflection mechanism. As skin‐adaptive and permeable sensors, SPFM reliably monitors body motions and bioelectric signals with high fidelity, achieving electromyographic recording with a high signal‐to‐noise ratio (>45 dB) during dynamic movements. Dual‐channel electromyographic recording assisted by machine learning, demonstrates 98.91% accuracy in gesture recognition, highlighting the potential of high‐performance biopolymer epidermal electronics for human‐machine interaction applications.
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