4.8 Article

Stretchable and Sensitive Silver Nanowire-Hydrogel Strain Sensors for Proprioceptive Actuation

期刊

ACS APPLIED MATERIALS & INTERFACES
卷 13, 期 31, 页码 37816-37829

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsami.1c08305

关键词

strain sensors; silver nanowire; proprioceptive actuation; biorobotic interface; medical sensors

资金

  1. National Key R&D Program of China from the Ministry of Science and Technology (MOST) of China [2018YFB1307700, 2018YFB1307703]
  2. Shun Hing Institute of Advanced Engineering at the Chinese University of Hong Kong (CUHK) [BME-p1-21]
  3. Singapore Academic Research Fund [R397000353114]

向作者/读者索取更多资源

This study presents a highly stretchable skin-like strain sensor based on silver nanowires and hydrogel, with high tensile properties and sensitivity. The sensor modulates the gauge factor through thermal annealing, forming multidimensional wrinkles and a layered conductive network. It demonstrates effectiveness in integration and motion monitoring with good adaptability.
Safer human-robot interactions mandate the adoption of proprioceptive actuation. Strain sensors can detect the deformation of tools and devices in unstructured and capricious environments. However, such sensor integration in surgical/clinical settings is challenging due to confined spaces, structural complexity, and performance losses of tools and devices. Herein, we report a highly stretchable skin-like strain sensor based on a silver nanowire (AgNW) layer and hydrogel substrate. Our facile fabrication method utilizes thermal annealing to modulate the gauge factor (GF) by forming multidimensional wrinkles and a layered conductive network. The developed AgNW-hydrogel (AGel) sensors sustain and exhibit a strain-sensitive profile (max. GF = similar to 70) with high stretchability (200%). Due to its conformability, the sensor demonstrates efficacy in integration and motion monitoring with minimal mechanical constraints. We provide contextual cognizance of tooltip during a transoral procedure by incorporating AGel sensors and showing the fabrication methodology's versatility by developing a hybrid self-sensing actuator with real-time performance feedback.

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