超薄GPU/CNTs@Ag用作应变/压阻柔性可穿戴传感器的静电纺纤维

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Ruiyong Yang;Yongling Wu;Mingming Liu;Hongyu Zheng
{"title":"超薄GPU/CNTs@Ag用作应变/压阻柔性可穿戴传感器的静电纺纤维","authors":"Ruiyong Yang;Yongling Wu;Mingming Liu;Hongyu Zheng","doi":"10.1109/JSEN.2025.3554561","DOIUrl":null,"url":null,"abstract":"Carbon-based nanomaterials are excellent candidates for constructing conductive sensing networks in a flexible polymer matrix, which is widely used. However, it remains a challenge to improve the flexibility and sensitivity of multifunctional sensor by synergistically combining several conductive materials in the sensor fabrication processes. In this study, graphene (GR)-dopped thermoplastic polyurethane (TPU) GPU was adopted as the matrix material with surface grafting of carbon nanotubes (CNTs) and silver nanoparticles (Ag) for fabricating fibrous membranes by electrospinning and ultrasonic adsorption. Then, GPU/CNTs@Ag-based sensors were made and tested for their piezoresistive and strain sensing properties. The results showed that GR and Ag nanoparticles increased the initial piezoresistance response, and the piezoresistive sensor had the sensitivity of 0.08 kPa<inline-formula> <tex-math>${}^{-{1}}$ </tex-math></inline-formula> within 0–6 kPa with the response/recovery time of 15/35 ms. The strain sensor performed well up to 400% deformation with a gauge factor (GF) of 349.8 and a response/recovery time of 68/199 ms. The sensors had stability for more than 5000 cycles. The sensors showed excellent detection of human body movements, including limb motion, respiration, and muscle rhythm. A <inline-formula> <tex-math>$4\\times 4$ </tex-math></inline-formula> piezoresistive array was fabricated and the corresponding data acquisition system has been developed to monitor the real-time signals of external stress distribution. Therefore, the GPU/CNTs@Ag sensors fabricated with the novel design strategy demonstrated considerable prospective applications such as human motion detection, smart skin, and machine haptics.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 10","pages":"17072-17084"},"PeriodicalIF":4.3000,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ultrathin GPU/CNTs@Ag Electrospun Fibers for Use as Strain/Piezoresistive Flexible Wearable Sensors\",\"authors\":\"Ruiyong Yang;Yongling Wu;Mingming Liu;Hongyu Zheng\",\"doi\":\"10.1109/JSEN.2025.3554561\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Carbon-based nanomaterials are excellent candidates for constructing conductive sensing networks in a flexible polymer matrix, which is widely used. However, it remains a challenge to improve the flexibility and sensitivity of multifunctional sensor by synergistically combining several conductive materials in the sensor fabrication processes. In this study, graphene (GR)-dopped thermoplastic polyurethane (TPU) GPU was adopted as the matrix material with surface grafting of carbon nanotubes (CNTs) and silver nanoparticles (Ag) for fabricating fibrous membranes by electrospinning and ultrasonic adsorption. Then, GPU/CNTs@Ag-based sensors were made and tested for their piezoresistive and strain sensing properties. The results showed that GR and Ag nanoparticles increased the initial piezoresistance response, and the piezoresistive sensor had the sensitivity of 0.08 kPa<inline-formula> <tex-math>${}^{-{1}}$ </tex-math></inline-formula> within 0–6 kPa with the response/recovery time of 15/35 ms. The strain sensor performed well up to 400% deformation with a gauge factor (GF) of 349.8 and a response/recovery time of 68/199 ms. The sensors had stability for more than 5000 cycles. The sensors showed excellent detection of human body movements, including limb motion, respiration, and muscle rhythm. A <inline-formula> <tex-math>$4\\\\times 4$ </tex-math></inline-formula> piezoresistive array was fabricated and the corresponding data acquisition system has been developed to monitor the real-time signals of external stress distribution. Therefore, the GPU/CNTs@Ag sensors fabricated with the novel design strategy demonstrated considerable prospective applications such as human motion detection, smart skin, and machine haptics.\",\"PeriodicalId\":447,\"journal\":{\"name\":\"IEEE Sensors Journal\",\"volume\":\"25 10\",\"pages\":\"17072-17084\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Sensors Journal\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10945954/\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10945954/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

摘要

碳基纳米材料是在柔性聚合物基体上构建导电传感网络的理想材料,得到了广泛的应用。然而,在传感器的制造过程中,如何通过多种导电材料的协同结合来提高多功能传感器的柔性和灵敏度仍然是一个挑战。本研究以石墨烯(GR)掺杂的热塑性聚氨酯(TPU) GPU为基体材料,表面接枝碳纳米管(CNTs)和银纳米粒子(Ag),采用静电纺丝和超声吸附法制备纤维膜。然后,制作了GPU/CNTs@Ag-based传感器,并测试了其压阻和应变传感性能。结果表明,GR和Ag纳米颗粒增加了压电陶瓷的初始压阻响应,在0 ~ 6 kPa范围内,压电陶瓷的灵敏度为0.08 kPa ${}^{-{1}}$,响应/恢复时间为15/35 ms。应变传感器在400%的变形情况下表现良好,测量系数(GF)为349.8,响应/恢复时间为68/199 ms。传感器的稳定性超过5000次循环。这些传感器显示出对人体运动的出色检测,包括肢体运动、呼吸和肌肉节奏。制作了一种4 × 4压阻阵列,并研制了相应的数据采集系统,用于监测外应力分布的实时信号。因此,采用新设计策略制造的GPU/CNTs@Ag传感器在人体运动检测、智能皮肤和机器触觉等方面具有相当大的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ultrathin GPU/CNTs@Ag Electrospun Fibers for Use as Strain/Piezoresistive Flexible Wearable Sensors
Carbon-based nanomaterials are excellent candidates for constructing conductive sensing networks in a flexible polymer matrix, which is widely used. However, it remains a challenge to improve the flexibility and sensitivity of multifunctional sensor by synergistically combining several conductive materials in the sensor fabrication processes. In this study, graphene (GR)-dopped thermoplastic polyurethane (TPU) GPU was adopted as the matrix material with surface grafting of carbon nanotubes (CNTs) and silver nanoparticles (Ag) for fabricating fibrous membranes by electrospinning and ultrasonic adsorption. Then, GPU/CNTs@Ag-based sensors were made and tested for their piezoresistive and strain sensing properties. The results showed that GR and Ag nanoparticles increased the initial piezoresistance response, and the piezoresistive sensor had the sensitivity of 0.08 kPa ${}^{-{1}}$ within 0–6 kPa with the response/recovery time of 15/35 ms. The strain sensor performed well up to 400% deformation with a gauge factor (GF) of 349.8 and a response/recovery time of 68/199 ms. The sensors had stability for more than 5000 cycles. The sensors showed excellent detection of human body movements, including limb motion, respiration, and muscle rhythm. A $4\times 4$ piezoresistive array was fabricated and the corresponding data acquisition system has been developed to monitor the real-time signals of external stress distribution. Therefore, the GPU/CNTs@Ag sensors fabricated with the novel design strategy demonstrated considerable prospective applications such as human motion detection, smart skin, and machine haptics.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信