A wearable ionic hydrogel strain sensor with double cross-linked network for human–machine interface

IF 23.2 2区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Advanced Composites and Hybrid Materials Pub Date : 2024-12-03 DOI:10.1007/s42114-024-01083-2

Zijian Wu, Liying Zhang, Meng Wang, Defeng Zang, Haiyong Long, Ling Weng, Ning Guo, Junguo Gao, Yonghong Liu, Ben Bin Xu

{"title":"A wearable ionic hydrogel strain sensor with double cross-linked network for human–machine interface","authors":"Zijian Wu, Liying Zhang, Meng Wang, Defeng Zang, Haiyong Long, Ling Weng, Ning Guo, Junguo Gao, Yonghong Liu, Ben Bin Xu","doi":"10.1007/s42114-024-01083-2","DOIUrl":null,"url":null,"abstract":"<div><p>Wearable strain sensor prepared with ionic conductive hydrogel holds great promises in a variety of engineering fields. In this work, we introduce sodium casein (SC) into a dual network hydrogel system made of polyvinyl alcohol (PVA) and polyacrylamide (PAM), to prepare an ionic hydrogel sensor. Compared to the PAM/PVA dual network hydrogel, the introduction of SC plays a significant synergistic role. Such dual network PAM/PVA/SC hydrogels exhibit excellent mechanical properties (a maximum strain of 719%, a maximum stress of 444.3 kPa), low hysteresis, and rapid recovery after uni-axial stretching. Since SC drives a large number of free ions, PAM/PVA/SC hydrogels present good conductivity while maintaining high physical stability, to enable an excellent sensitivity in a comparatively large strain range (Gauge factor, GF = 2.17 under 400% strain). The unique properties allow the generation of stable and accurate electrical signals transduced from different locations of the human body. As such, the PAM/PVA/SC hydrogel has the potential to be used as human–machine interface for continuous, real-time physiological monitoring.</p></div>","PeriodicalId":7220,"journal":{"name":"Advanced Composites and Hybrid Materials","volume":"8 1","pages":""},"PeriodicalIF":23.2000,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Composites and Hybrid Materials","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1007/s42114-024-01083-2","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, COMPOSITES","Score":null,"Total":0}

引用次数: 0

Abstract

Wearable strain sensor prepared with ionic conductive hydrogel holds great promises in a variety of engineering fields. In this work, we introduce sodium casein (SC) into a dual network hydrogel system made of polyvinyl alcohol (PVA) and polyacrylamide (PAM), to prepare an ionic hydrogel sensor. Compared to the PAM/PVA dual network hydrogel, the introduction of SC plays a significant synergistic role. Such dual network PAM/PVA/SC hydrogels exhibit excellent mechanical properties (a maximum strain of 719%, a maximum stress of 444.3 kPa), low hysteresis, and rapid recovery after uni-axial stretching. Since SC drives a large number of free ions, PAM/PVA/SC hydrogels present good conductivity while maintaining high physical stability, to enable an excellent sensitivity in a comparatively large strain range (Gauge factor, GF = 2.17 under 400% strain). The unique properties allow the generation of stable and accurate electrical signals transduced from different locations of the human body. As such, the PAM/PVA/SC hydrogel has the potential to be used as human–machine interface for continuous, real-time physiological monitoring.

查看原文本刊更多论文

一种人机界面双交联网络可穿戴离子水凝胶应变传感器

以离子导电水凝胶为材料制备的可穿戴应变传感器在各种工程领域具有广阔的应用前景。本研究将酪蛋白钠（SC）引入聚乙烯醇（PVA）和聚丙烯酰胺（PAM）的双网络水凝胶体系中，制备离子水凝胶传感器。与PAM/PVA双网络水凝胶相比，SC的引入具有显著的协同作用。该双网络PAM/PVA/SC水凝胶具有优异的力学性能（最大应变为719%，最大应力为444.3 kPa），滞回率低，单轴拉伸后恢复快。由于SC驱动大量的自由离子，PAM/PVA/SC水凝胶在保持高物理稳定性的同时具有良好的导电性，在较大的应变范围内具有优异的灵敏度（Gauge factor， 400%应变下GF = 2.17）。这种独特的特性可以从人体的不同部位产生稳定而准确的电信号。因此，PAM/PVA/SC水凝胶具有作为连续、实时生理监测的人机界面的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Advanced Composites and Hybrid Materials Multiple-

CiteScore

26.00

自引率

21.40%

发文量

185

期刊介绍： Advanced Composites and Hybrid Materials is a leading international journal that promotes interdisciplinary collaboration among materials scientists, engineers, chemists, biologists, and physicists working on composites, including nanocomposites. Our aim is to facilitate rapid scientific communication in this field. The journal publishes high-quality research on various aspects of composite materials, including materials design, surface and interface science/engineering, manufacturing, structure control, property design, device fabrication, and other applications. We also welcome simulation and modeling studies that are relevant to composites. Additionally, papers focusing on the relationship between fillers and the matrix are of particular interest. Our scope includes polymer, metal, and ceramic matrices, with a special emphasis on reviews and meta-analyses related to materials selection. We cover a wide range of topics, including transport properties, strategies for controlling interfaces and composition distribution, bottom-up assembly of nanocomposites, highly porous and high-density composites, electronic structure design, materials synergisms, and thermoelectric materials. Advanced Composites and Hybrid Materials follows a rigorous single-blind peer-review process to ensure the quality and integrity of the published work.

文献相关原料

公司名称

产品信息

麦克林

Polyvinyl alcohol

麦克林

Polyvinyl alcohol (PVA)

阿拉丁

N,N′-methylenebisacrylamide (MBA)

阿拉丁

ammonium persulfate (APS)

阿拉丁