Document Type

Article

Publication Date

8-15-2025

Keywords

Triboelectricity, Polyacrylonitrile, Nanofibers, Extreme temperature, Wearable technology

Abstract

Extreme temperature wearable technology enables unique applications in extreme conditions, such as physiological indicators (body temperature and heart rate) monitoring, which can provide timely warnings of health risks associated with unusual high and low temperatures. However, most soft materials used for wearable devices, including both sensors and power suppliers, are severely affected by high temperature, limiting their applications. Here, we reported a flexible triboelectric material for extreme temperature application, ranging from-29 degrees C to 400 degrees C. The device consists of a thermally stabilized polyacrylonitrile (TS-PAN) as negative triboelectric material and a mica film as positive triboelectric material. This triboelectric device can effectively and stably convert mechanical energy into electrical energy. At a frequency of 2 Hz, a 3 x 3 cm2 TS-PAN/mica triboelectric device can generate an open-circuit voltage of 280 V, a short-circuit current of 18 mu A, and a power density of 8.28 W/m2. We demonstrate that the electricity generated under high temperature conditions can power commercial LEDs, and charge capacitors and small lithium batteries. At a high temperature of 350 degrees C, the electricity generated by a single device is sufficient to run 52 commercial LEDs. Furthermore, the device can work stably for at least 2 h at 350 degrees C. When integrated with fire suits, TS-PAN/mica triboelectric devices can accurately recognize the real-time behavior of firefighters, such as walking, running, jumping, climbing/ descending stairs, etc. In the event of a fire, the real-time monitoring capability of this device can effectively assist off-site personnel in reminding firefighters to avoid dangerous obstacles in a timely manner. We envision such a device will also open an avenue for in-space wearable technologies.

Comments

Web of Science

Elsevier

Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

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