Graphene- polymer nanocomposite-based wearable strain sensors for physiological signal Monitoring: Recent progress and challenges

IF 12.2 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Current Opinion in Solid State & Materials Science Pub Date : 2024-07-01 DOI:10.1016/j.cossms.2024.101174
Suvrajyoti Mishra, Biswajit Saha
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Abstract

Wearable strain sensors are emerging as promising devices for monitoring human motions and physiological signals in various fields, such as healthcare, robotics, and sports. Among various materials, polymer–graphene nanocomposites (PGNs) have attracted considerable attention due to their excellent mechanical, electrical, and thermal properties, as well as their facile fabrication methods. This review summarised the recent progress and challenges of PGN-based wearable strain sensors for physiological signal monitoring. First, the classification of PGNs based on the structural derivatives of graphene (such as graphene sheets, graphene oxide, reduced graphene oxide, and graphene quantum dots) and the strain sensing mechanisms (such as resistive and capacitive) were introduced. Then, we discussed the fabrication approaches of PGN-based strain sensors, including solution processing, melt blending, in-situ polymerization, spinning, printing, and coating. Afterward, this article highlighted the functional PGN-based strain sensors using various polymers and their applications in monitoring subtle and significant physiological signals. Finally, this work identified the underlying challenges and future perspectives of PGN-based wearable strain sensors for accurate and reliable physiological signal monitoring. This review provides a comprehensive overview of the current state-of-the-art of PGN-based wearable strain sensors and inspires further research in this field.

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基于石墨烯聚合物纳米复合材料的生理信号监测用可穿戴应变传感器:最新进展与挑战
在医疗保健、机器人和体育等多个领域,可穿戴应变传感器正逐渐成为监测人体运动和生理信号的理想设备。在各种材料中,聚合物-石墨烯纳米复合材料(PGNs)因其优异的机械、电气和热性能以及简便的制造方法而备受关注。本综述总结了用于生理信号监测的基于 PGN 的可穿戴应变传感器的最新进展和挑战。首先,介绍了基于石墨烯结构衍生物(如石墨烯片、氧化石墨烯、还原氧化石墨烯和石墨烯量子点)和应变传感机制(如电阻式和电容式)的 PGN 分类。然后,我们讨论了基于 PGN 的应变传感器的制造方法,包括溶液处理、熔融混合、原位聚合、纺丝、印刷和涂层。随后,本文重点介绍了使用各种聚合物制造的基于 PGN 的功能性应变传感器及其在监测微妙而重要的生理信号方面的应用。最后,本文指出了基于 PGN 的可穿戴应变传感器在准确可靠地监测生理信号方面所面临的基本挑战和未来展望。这篇综述全面概述了基于 PGN 的可穿戴应变传感器的当前先进水平,并启发了该领域的进一步研究。
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来源期刊
Current Opinion in Solid State & Materials Science
Current Opinion in Solid State & Materials Science 工程技术-材料科学:综合
CiteScore
21.10
自引率
3.60%
发文量
41
审稿时长
47 days
期刊介绍: Title: Current Opinion in Solid State & Materials Science Journal Overview: Aims to provide a snapshot of the latest research and advances in materials science Publishes six issues per year, each containing reviews covering exciting and developing areas of materials science Each issue comprises 2-3 sections of reviews commissioned by international researchers who are experts in their fields Provides materials scientists with the opportunity to stay informed about current developments in their own and related areas of research Promotes cross-fertilization of ideas across an increasingly interdisciplinary field
期刊最新文献
Toward high-quality graphene film growth by chemical vapor deposition system Graphene- polymer nanocomposite-based wearable strain sensors for physiological signal Monitoring: Recent progress and challenges Spintronic devices as next-generation computation accelerators Recent progress in elastic and inelastic neutron scattering for chemical, polymeric, and biological investigations Editorial Board
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