Bioinspired ion channel receptor based on hygroelectricity for precontact sensing of living organism

• Published in: Biosensors & bioelectronics Vol. 247; p. 115922
• Main Authors: Zhang, Yong, Long, Dongxu, Feng, Huiling, Shang, Kedong, Lu, Xulei, Fu, Chunqiao, Jiang, Zhongbao, Fang, Jiahao, Yao, Yuming, He, Qi-Chang, Yang, Tingting
• Format: Journal Article
• Language: English
• Published: England Elsevier B.V 01.03.2024; Elsevier
• Subjects: Apteronotus albifrons; biosensors; electronics; human health; Human-machine interaction; humidity; Hygroelectricity; ion channels; Ion diode; Multifunction; Non-contact sensing; Physics; power generation; virus transmission; Ion diode; Human-machine interaction; Multifunction; Hygroelectricity; Non-contact sensing
• ISSN: 0956-5663; 1873-4235; 1873-4235
• DOI: 10.1016/j.bios.2023.115922

Tactile sensors play an important role in human-machine interaction (HMI). Compared to contact tactile sensing, which leaves physical hardware vulnerable to wear and tear, proximity sensing is better at reacting to remote events before physical contact. The apteronotus albifrons possess ion channel receptors for remote surroundings perception. Inspired by the relevant ion channel structure and self-powered operation mode, we designed a new proximity sensor with ion rectification characteristics and self-powered capability. This bio-inspired ion channel receptor exploits the hygroelectric effect to convert the humidity information into a series of current signals when the living organism approaches, and it is insensitive to non-aquatic non-organisms. The sensor offers high sensitivity (2.3 mm−1), a suitable range (0–10 mm) for close object detection, fast response (0.3 s), and fast recovery (2.5 s). The unique combination of bio-sensitivity, non-contact detection characteristics, and humidity-based power generation capabilities enriches the functionality of future HMI electronics. As a proof of concept, the sensor has been successfully applied in different scenarios such as human health management, early warning systems, non-contact switches to prevent virus transmission, object recognition, and finger trajectory detection.