Hybrid Pressure Sensor Based on Carbon Nano-Onions and Hierarchical Microstructures with Synergistic Enhancement Mechanism for Multi-Parameter Sleep Monitoring

被引：3

作者：

Zou, Jie ^{[1
]}

Qiao, Yina ^{[2
]}

Zhao, Juanhong ^{[1
]}

Duan, Zhigang ^{[1
]}

Yu, Junbin ^{[1
]}

Jing, Yu ^{[1
]}

He, Jian ^{[1
]}

Zhang, Le ^{[1
]}

Chou, Xiujian ^{[1
]}

Mu, Jiliang ^{[1
]}

机构：

[1] North Univ China, Sci & Technol Elect Test & Measurement Lab, Taiyuan 030051, Peoples R China

[2] North Univ China, Sch Environm & Safety Engn, Taiyuan 030051, Peoples R China

来源：

NANOMATERIALS | 2023年 / 13卷 / 19期

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

hybrid pressure sensor; CNOs@Ecoflex; hierarchical composite microstructure; synergistic enhancement mechanism; multi-parameter sleep monitoring; ELECTRONIC SKIN; NANOGENERATOR; RECOGNITION; SYSTEM;

D O I：

10.3390/nano13192692

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

With the existing pressure sensors, it is difficult to achieve the unification of wide pressure response range and high sensitivity. Furthermore, the preparation of pressure sensors with excellent performance for sleep health monitoring has become a research difficulty. In this paper, based on material and microstructure synergistic enhancement mechanism, a hybrid pressure sensor (HPS) integrating triboelectric pressure sensor (TPS) and piezoelectric pressure sensor (PPS) is proposed. For the TPS, a simple, low-cost, and structurally controllable microstructure preparation method is proposed in order to investigate the effect of carbon nano-onions (CNOs) and hierarchical composite microstructures on the electrical properties of CNOs@Ecoflex. The PPS is used to broaden the pressure response range and reduce the pressure detection limit of HPS. It has been experimentally demonstrated that the HPS has a high sensitivity of 2.46 V/104 Pa (50-600 kPa) and a wide response range of up to 1200 kPa. Moreover, the HPS has a low detection limit (10 kPa), a high stability (over 100,000 cycles), and a fast response time. The sleep monitoring system constructed based on HPS shows remarkable performance in breathing state recognition and sleeping posture supervisory control, which will exhibit enormous potential in areas such as sleep health monitoring and potential disease prediction.

引用

页数：16