用于无线生理监测的低机械滞后的纤维素增强天然橡胶微纤维

IF 5 2区 材料科学 Q1 MATERIALS SCIENCE, CHARACTERIZATION & TESTING
Epsita Kar , Arti Singh , Bokyeoung Kang , Jinhwan Yoon
{"title":"用于无线生理监测的低机械滞后的纤维素增强天然橡胶微纤维","authors":"Epsita Kar ,&nbsp;Arti Singh ,&nbsp;Bokyeoung Kang ,&nbsp;Jinhwan Yoon","doi":"10.1016/j.polymertesting.2025.108781","DOIUrl":null,"url":null,"abstract":"<div><div>Unprecedented demand for wearable electronics has stimulated the development of highly elastic strain sensors that monitor human motion. This study presents a highly stretchable, lightweight, and wearable strain sensor composed of natural rubber (NR) and cellulose nanofibers (CNF). It addresses the challenge of developing highly sensitive sensors with good linearity and low hysteresis for wireless physiological monitoring. By incorporating CNF as a reinforcing agent along with carbon nanotubes and PEDOT:PSS for conductivity, we have achieved significant improvements in sensor performance. The optimized wearable device exhibited an increase in fracture stress while maintaining high stretchability (over 600 %) with minimal hysteresis loss (approximately 2.7 % at 100 % strain), low response time (approximately 43 ms), and good mechanical durability. Furthermore, an integrated system based on the device was assembled to detect real-time fine wireless physiological signals generated from human motions, including walking, joint movements, and subtle finger bending. The ability of the system to wirelessly transmit data in real time enhances its potential for continuous health monitoring and human-machine interfaces as next-generation smart wearable electronics.</div></div>","PeriodicalId":20628,"journal":{"name":"Polymer Testing","volume":"146 ","pages":"Article 108781"},"PeriodicalIF":5.0000,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cellulose-reinforced natural rubber microfibers with low mechanical hysteresis for wireless physiological monitoring\",\"authors\":\"Epsita Kar ,&nbsp;Arti Singh ,&nbsp;Bokyeoung Kang ,&nbsp;Jinhwan Yoon\",\"doi\":\"10.1016/j.polymertesting.2025.108781\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Unprecedented demand for wearable electronics has stimulated the development of highly elastic strain sensors that monitor human motion. This study presents a highly stretchable, lightweight, and wearable strain sensor composed of natural rubber (NR) and cellulose nanofibers (CNF). It addresses the challenge of developing highly sensitive sensors with good linearity and low hysteresis for wireless physiological monitoring. By incorporating CNF as a reinforcing agent along with carbon nanotubes and PEDOT:PSS for conductivity, we have achieved significant improvements in sensor performance. The optimized wearable device exhibited an increase in fracture stress while maintaining high stretchability (over 600 %) with minimal hysteresis loss (approximately 2.7 % at 100 % strain), low response time (approximately 43 ms), and good mechanical durability. Furthermore, an integrated system based on the device was assembled to detect real-time fine wireless physiological signals generated from human motions, including walking, joint movements, and subtle finger bending. The ability of the system to wirelessly transmit data in real time enhances its potential for continuous health monitoring and human-machine interfaces as next-generation smart wearable electronics.</div></div>\",\"PeriodicalId\":20628,\"journal\":{\"name\":\"Polymer Testing\",\"volume\":\"146 \",\"pages\":\"Article 108781\"},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2025-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Polymer Testing\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0142941825000959\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATERIALS SCIENCE, CHARACTERIZATION & TESTING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Polymer Testing","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142941825000959","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, CHARACTERIZATION & TESTING","Score":null,"Total":0}
引用次数: 0

摘要

对可穿戴电子产品前所未有的需求刺激了监测人体运动的高弹性应变传感器的发展。本研究提出了一种由天然橡胶(NR)和纤维素纳米纤维(CNF)组成的高度可拉伸、轻质和可穿戴的应变传感器。它解决了开发用于无线生理监测的具有良好线性和低滞后的高灵敏度传感器的挑战。通过将CNF作为增强剂与碳纳米管和PEDOT:PSS一起用于电导率,我们已经在传感器性能方面取得了显着改善。优化后的可穿戴设备在保持高拉伸性(超过600%)、最小迟滞损失(100%应变时约2.7%)、低响应时间(约43 ms)和良好的机械耐久性的同时,显示出断裂应力的增加。此外,基于该装置组装了一个集成系统,用于检测人体运动产生的实时精细无线生理信号,包括行走、关节运动和细微的手指弯曲。该系统无线实时传输数据的能力增强了其作为下一代智能可穿戴电子产品的连续健康监测和人机界面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cellulose-reinforced natural rubber microfibers with low mechanical hysteresis for wireless physiological monitoring
Unprecedented demand for wearable electronics has stimulated the development of highly elastic strain sensors that monitor human motion. This study presents a highly stretchable, lightweight, and wearable strain sensor composed of natural rubber (NR) and cellulose nanofibers (CNF). It addresses the challenge of developing highly sensitive sensors with good linearity and low hysteresis for wireless physiological monitoring. By incorporating CNF as a reinforcing agent along with carbon nanotubes and PEDOT:PSS for conductivity, we have achieved significant improvements in sensor performance. The optimized wearable device exhibited an increase in fracture stress while maintaining high stretchability (over 600 %) with minimal hysteresis loss (approximately 2.7 % at 100 % strain), low response time (approximately 43 ms), and good mechanical durability. Furthermore, an integrated system based on the device was assembled to detect real-time fine wireless physiological signals generated from human motions, including walking, joint movements, and subtle finger bending. The ability of the system to wirelessly transmit data in real time enhances its potential for continuous health monitoring and human-machine interfaces as next-generation smart wearable electronics.
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
Polymer Testing
Polymer Testing 工程技术-材料科学:表征与测试
CiteScore
10.70
自引率
5.90%
发文量
328
审稿时长
44 days
期刊介绍: Polymer Testing focuses on the testing, analysis and characterization of polymer materials, including both synthetic and natural or biobased polymers. Novel testing methods and the testing of novel polymeric materials in bulk, solution and dispersion is covered. In addition, we welcome the submission of the testing of polymeric materials for a wide range of applications and industrial products as well as nanoscale characterization. The scope includes but is not limited to the following main topics: Novel testing methods and Chemical analysis • mechanical, thermal, electrical, chemical, imaging, spectroscopy, scattering and rheology Physical properties and behaviour of novel polymer systems • nanoscale properties, morphology, transport properties Degradation and recycling of polymeric materials when combined with novel testing or characterization methods • degradation, biodegradation, ageing and fire retardancy Modelling and Simulation work will be only considered when it is linked to new or previously published experimental results.
×
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:481959085
Book学术官方微信