Wang Ying, Zhang Qingchao, Zhang Zhidong
School of Energy and Power Engineering, North University of China, Taiyuan 030051, China.
School of Precision Instrument and Optoelectronics Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China.
Micromachines (Basel). 2025 Jan 14;16(1):92. doi: 10.3390/mi16010092.
As an innovative branch of electronics, intelligent electronic textiles (e-textiles) have broad prospects in applications such as e-skin, human-computer interaction, and smart homes. However, it is still a challenge to distinguish multiple stimuli in the same e-textile. Herein, we propose a dual-parameter smart e-textile that can detect human pulse and body temperature in real time, with high performance and no signal interference. The doping of SWCNTs in PEDOT:PSS improves the electrical conductivity and Seebeck coefficient of the prepared composites, which results in excellent pressure and temperature-sensing properties of the PEDOT:PSS/SWCNTs/CS@PET-textile (PSCP) sensor. The dual-mode sensor has high sensitivity (32.4 kPa), fast response time (~21 ms), and excellent durability (>2000 times) in pressure detection. Concurrently, this sensor maintains a high Seebeck coefficient of 25 μV/K in the 0-120 K temperature range with a tremendous linear relationship. Based on impressive dual-mode sensing characteristics and independent temperature-difference- and pressure-sensing mechanisms, smart e-textile sensors realize the real-time simultaneous monitoring of weak pulse signals and human body temperature, showing great potential in medical healthcare. In addition, the potential energy is excited by the temperature gradient between the human skin and the environment, which provides a novel idea for wearable self-powered devices.
作为电子学的一个创新分支，智能电子纺织品（电子织物）在电子皮肤、人机交互和智能家居等应用领域有着广阔的前景。然而，在同一电子织物中区分多种刺激仍然是一项挑战。在此，我们提出了一种双参数智能电子织物，它能够实时检测人体脉搏和体温，性能优异且无信号干扰。在PEDOT:PSS中掺杂单壁碳纳米管（SWCNTs）提高了所制备复合材料的电导率和塞贝克系数，这使得PEDOT:PSS/SWCNTs/壳聚糖@聚酯纤维织物（PSCP）传感器具有出色的压力和温度传感性能。该双模传感器在压力检测中具有高灵敏度（32.4 kPa）、快速响应时间（约21毫秒）和优异的耐久性（>2000次）。同时，该传感器在0 - 120 K温度范围内保持25 μV/K的高塞贝克系数，且具有良好的线性关系。基于令人印象深刻的双模传感特性以及独立的温差和压力传感机制，智能电子织物传感器实现了对微弱脉搏信号和人体体温的实时同步监测，在医疗保健领域显示出巨大潜力。此外，人体皮肤与环境之间的温度梯度激发了势能，这为可穿戴自供电设备提供了一个新颖的思路。
