Ultrasensitive and Wide‐Range Ionic Pressure Sensors Toward Intelligent Assessment of Traditional Chinese Medicine Pulse and Oral Occlusal Health
ABSTRACT Pulse monitoring and tooth occlusion detection are two key scenarios for non‐invasive monitoring of cardiovascular and oral health. Traditional pressure sensors suffer from a trade‐off between sensitivity and measurement range. Their rigid structure and poor surface fit hinder the accurate acquisition of weak pulse signals and the detection of wide‐range occlusal pressure. Here, a high‐performance capacitive ionic pressure sensor was realized based on the electric double‐layer (EDL) effect, featuring both ultra‐high sensitivity (73224 kPa − 1 ) and a wide detection range (0.01–1100 kPa). Compared with most reported ionic pressure sensors, our sensor achieves competitive ultra‐high peak sensitivity at low pressure while maintaining an exceptionally broad detection range. Drawing on pulse‐diagnosis principles of traditional Chinese medicine (TCM), this sensor accurately captures wrist pulse signals at the “Cun, Guan and Chi” acupoints. Integrating machine‐learning techniques, the occlusal‐pressure monitoring prototype achieves automatic classification of ten distinct occlusal‐pressure patterns acquired from dental phantom models. Such a cutting‐edge design for the ionic pressure sensor and its application in monitoring of both cardiovascular and oral health are rarely reported in the literature. These findings lay a foundation for the development of adaptive flexible monitoring systems for personalized medicine and intelligent physiological monitoring technology.
Authors
- Tengfei Ma (ORCID: https://orcid.org/0000-0001-5027-3654)
- 瑞兵 姚
- Xuge Fan (ORCID: https://orcid.org/0000-0002-8811-1615)
- Kai Hu
- Wendong Zhang
- Xutao Fan
- Shulin Guo
- Zhe Zhang
- Jun Zhang
- Hongliang Ma
Institutions
- Beijing Institute of Technology (CN)
- North University of China (CN)
- Affiliated Hospital of Jining Medical University (CN)
Publication Details
- Journal
- Advanced Functional Materials
- Published
- 2026-10-29
- DOI
- https://doi.org/10.1002/adfm.79323
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Beijing Municipality
- National Outstanding Youth Science Fund Project of National Natural Science Foundation of China
- National Key Research and Development Program of China