Silk Flocked Flexible Sensor Capable of Wide-Range and Sensitive Pressure Perception

IF 8.3 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Zihong Wu, Yan Zhao, Youning Duo, Baifan Li, Lei Li, Bohan Chen, Kang Yang, Siwei Su, Juan Guan, Li Wen, Mingjie Liu
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Abstract

In recent years, there have been advancements in high-performance soft sensors with simultaneous moderate sensitivity and wide linearity. However, it remains challenging to combine high-efficiency production and high performance for soft sensors. The skin and hair structure provide an elegantly simple sensing model, where hair acts as signal receptors and basal skin acts as signal processors. Herein, we used efficient electrostatic flocking and extrusion printing to engineer comb-shaped electrodes with conductive polydimethylsiloxane (PDMS) flocked with conductive silk fibers as a biomimetic flexible sensor. The mechanical and electrical properties of modified PDMS and silk fibers were characterized to optimize the functionalization process. The sensor unit exhibited a high linear range up to 2,000 kPa and a competitively good sensitivity of 0.0285 kPa–1 in the contact mode with conductive materials, as well as good resolution in the noncontact mode. Such sensors and a sensor array demonstrated potential applications for detecting pressure disturbances from acoustic activity and for human–robot interactions. We anticipate that the straightforward design and facile fabrication of soft sensors with vertical fibrous morphology for perception will open new avenues for the next generation of high-performance soft sensors integrated with artificial intelligence.

Abstract Image

可感知大范围灵敏压力的蚕丝植绒柔性传感器
近年来,同时具有中等灵敏度和宽线性度的高性能软传感器取得了进步。然而,如何将软传感器的高效生产和高性能结合起来仍是一项挑战。皮肤和毛发结构提供了一个优雅简单的传感模型,其中毛发作为信号接收器,基底皮肤作为信号处理器。在这里,我们利用高效的静电植绒和挤出印刷技术,将导电聚二甲基硅氧烷(PDMS)与导电丝纤维植绒在一起,制成梳状电极,作为仿生柔性传感器。对改性聚二甲基硅氧烷(PDMS)和丝纤维的机械和电气性能进行了表征,以优化功能化工艺。传感器单元的线性范围高达 2,000 kPa,在导电材料接触模式下的灵敏度为 0.0285 kPa-1,具有很强的竞争力,在非接触模式下也具有很高的分辨率。这种传感器和传感器阵列在探测声音活动产生的压力干扰和人机交互方面具有潜在的应用价值。我们预计,用于感知的具有垂直纤维形态的软传感器的直接设计和简易制造将为下一代与人工智能集成的高性能软传感器开辟新的途径。
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来源期刊
ACS Applied Materials & Interfaces
ACS Applied Materials & Interfaces 工程技术-材料科学:综合
CiteScore
16.00
自引率
6.30%
发文量
4978
审稿时长
1.8 months
期刊介绍: ACS Applied Materials & Interfaces is a leading interdisciplinary journal that brings together chemists, engineers, physicists, and biologists to explore the development and utilization of newly-discovered materials and interfacial processes for specific applications. Our journal has experienced remarkable growth since its establishment in 2009, both in terms of the number of articles published and the impact of the research showcased. We are proud to foster a truly global community, with the majority of published articles originating from outside the United States, reflecting the rapid growth of applied research worldwide.
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