Dual-Mode Textile Sensor Based on PEDOT:PSS/SWCNTs Composites for Pressure-Temperature Detection.

IF 3 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL Micromachines Pub Date : 2025-01-14 DOI:10.3390/mi16010092
Ying Wang, Qingchao Zhang, Zhidong Zhang
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Abstract

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-1), 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.

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基于PEDOT:PSS/SWCNTs复合材料的压力-温度检测双模纺织传感器。
智能电子纺织品作为电子学的一个创新分支,在电子皮肤、人机交互、智能家居等方面有着广阔的应用前景。然而,在同一电子纺织品中,如何区分多种刺激物仍然是一个挑战。在此,我们提出了一种双参数智能电子纺织品,可以实时检测人体脉搏和体温,具有高性能和无信号干扰。在PEDOT:PSS中掺杂SWCNTs提高了所制备复合材料的电导率和塞贝克系数,从而使PEDOT:PSS/SWCNTs/CS@PET-textile (PSCP)传感器具有优异的压力和温度传感性能。该双模传感器具有高灵敏度(32.4 kPa-1)、快速响应时间(~21 ms)和优异的耐久性(>2000次)。同时,该传感器在0 ~ 120 K温度范围内保持了25 μV/K的高塞贝克系数,且具有很强的线性关系。基于出色的双模传感特性和独立的温差和压力传感机制,智能电子纺织品传感器实现了微弱脉冲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的潜力。此外,势能由人体皮肤与环境之间的温度梯度激发,为可穿戴自供电设备提供了新的思路。
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来源期刊
Micromachines
Micromachines NANOSCIENCE & NANOTECHNOLOGY-INSTRUMENTS & INSTRUMENTATION
CiteScore
5.20
自引率
14.70%
发文量
1862
审稿时长
16.31 days
期刊介绍: Micromachines (ISSN 2072-666X) is an international, peer-reviewed open access journal which provides an advanced forum for studies related to micro-scaled machines and micromachinery. It publishes reviews, regular research papers and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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