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中国物理学会期刊

聚乙烯醇基导电水凝胶性能优化及体征监测应用研究进展

CSTR: 32037.14.aps.75.20251804

Research progress on performance optimization and biometric monitoring applications of polyvinyl alcohol-based conductive hydrogel

CSTR: 32037.14.aps.75.20251804
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  • 随着智能医疗与可穿戴传感技术发展, 聚乙烯醇(PVA)基导电水凝胶凭借其优异柔性、离子导电性与生物相容性, 成为人体体征监测核心功能材料. 本文系统综述了其研究进展, 梳理了物理交联与化学交联两大类制备方法, 总结了力学、导电、自愈合及抗冻性能的协同优化策略; 重点阐述了PVA基导电水凝胶的传感机理, 介绍了范特霍夫渗透压公式、泊松-玻尔兹曼方程等多物理场耦合建模与量化表征方法. 此外, 进一步综述了该类水凝胶在关节活动、肌肉收缩、脉搏、吞咽、呼吸及心电等多场景体征监测中的应用成果. 最后, 分析了当前在构效关系、多场耦合建模、长期稳定性及工程化集成等方面的挑战, 展望了在机理研究、性能优化与产业化落地的发展方向, 为PVA基导电水凝胶在柔性可穿戴传感领域的理论研究与深化应用提供理论参考.

     

    With the development of intelligent medical technology and wearable sensing technology, polyvinyl alcohol (PVA)-based conductive hydrogels have emerged as the core functional materials for human physiological sign monitoring due to their excellent flexibility, ionic conductivity, and biocompatibility. This article systematically reviewed the research progress of crosslinking preparation technology, core performance optimization strategy and physical sign monitoring application of the material. The mechanism, characteristics and application scenarios of physical and chemical cross-linking preparation systems were analyzed, and the key value of physical-chemical cross-linking collaborative application to improve the stability of material network structure was clarified. At the same time, the multi-dimensional optimization strategies for mechanics, electrical conductivity, self-healing and anti-freezing performance are sorted out, and the mechanism of action of double network construction, dynamic bond regulation, ion and solvent system optimization is clarified.
    Relying on the physical characteristics of ion conduction to realize reversible conversion of force-electrical signals, the material can accurately capture large movements such as joint flexion and extension, muscle contraction, and subtle physiological signals such as pulse, swallowing, and breathing. It can also be extended to multiple physical sign monitoring scenarios such as voiceprint recognition to meet a variety of practical application requirements. In the modeling study, we have systematically summarized the core physical models and multiphysics modeling frameworks for ionic and nanocomposite hydrogels, clarifying the quantitative formulations and underlying physical mechanisms of each model.

     

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