Coral-Inspired Capacitive Pressure Sensor with High Sensitivity and Wide Range for Human–Computer Interaction
Flexible capacitive pressure sensors have extensive applications in healthcare and human-computer interaction. However, current sensors face challenges in sensitivity, response range, and batch-to-batch consistency. Herein, inspired by coral, a capacitive pressure sensor featuring a Y-shaped dielectric layer is developed, offering high sensitivity and a wide detection range. The innovative biomimetic ″Y-shaped coral″ gradient tilt structure skillfully combines two effects: the change in contact area and the reduction in plate spacing, in response to pressure changes. This design not only expands the compressible range of the sensor but also achieves a good balance between high sensitivity and a wide response range. Experimental results show that the fabricated sensor exhibits high sensitivity (1.10 kPa–1), a substantial response range (210 kPa), minimal hysteresis (≈3%), and excellent durability (withstanding over 20,000 cycles at 100 kPa). This sensor has broad application prospects in human-computer interaction, intelligent devices, flexible sensing arrays, and meteorological monitoring, enabling precise identification, real-time monitoring, and efficient support functions. Therefore, we believe that this study not only provides a design approach for capacitive pressure sensors but also offers strong support for technological advancement and application innovation in related fields.
Authors
- Zhi‐Jun Zhao (ORCID: https://orcid.org/0000-0002-4981-5062)
- Bingjun Yu (ORCID: https://orcid.org/0000-0002-8281-1899)
- Hongbo Wang (ORCID: https://orcid.org/0000-0002-8031-5533)
- Junxiang Jiang
- Linmao Qian (ORCID: https://orcid.org/0000-0002-3918-4615)
- Yuhang Wang (ORCID: https://orcid.org/0000-0002-7290-2551)
- Ranxu Jing
Institutions
- Southwest Jiaotong University (CN)
Publication Details
- Journal
- ACS Applied Electronic Materials
- Published
- 2024-08-31
- DOI
- https://doi.org/10.1021/acsaelm.4c01140
- Citations
- 15
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 2.77
Funders
- National Natural Science Foundation of China
- Sichuan Province Science and Technology Support Program