journal article·2024-07

Highly Sensitive Fiber Crossbar Sensors Enabled by Second‐Order Synergistic Effect of Air Capacitance and Equipotential Body

Xiangyang Qu, Yuchen Wu, Zhiliang Han, Jing Li, Lili Deng, Ruimin Xie, Guanglin Zhang, Huaping Wang, Shiyan Chen

Small· Volume 20· Issue 30
Publisher page

Abstract

Abstract Fiber crossbars, an emerging electronic device, have become the most promising basic unit for advanced smart textiles. The demand for highly sensitive fiber crossbar sensors (FCSs) in wearable electronics is increased. However, the unique structure of FCSs presents challenges in replicating existing sensitivity enhancement strategies. Aiming at the sensitivity of fiber crossbar sensors, a second‐order synergistic strategy is proposed that combines air capacitance and equipotential bodies, resulting in a remarkable sensitivity enhancement of over 20 times for FCSs. This strategy offers a promising avenue for the design and fabrication of FCSs that do not depend on intricate microstructures. Furthermore, the integrative structure of core‐sheath fibers ensures a robust interface, leading to a low hysteresis of only 2.33% and exceptional stability. The outstanding capacitive response performance of FCSs allows them to effectively capture weak signals such as pulses and sounds. This capability opens up possibilities for the application of FCSs in personalized health management, as demonstrated by wireless monitoring systems based on pulse signals.
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Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Advanced Fiber Optic Sensors · Semiconductor Lasers and Optical Devices

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and Engineering Donghua University Shanghai 201620 P. R. China

College of Information Sciences and Technology Donghua University Shanghai 201620 P. R. China

Funding

National Natural Science Foundation of China

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