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可用于运动监测的双模态离子传感纤维

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针对传统刚性导电材料柔韧性差、舒适性低及现有离子导电材料多为薄膜或块状而导致透气透湿性差等问题,提出一种湿法纺丝一步制得的一维离子传感纤维,并研究其物理性能及传感性能,阐述其未来的发展潜力.测试结果表明,离子传感纤维灵敏度高(规格因子GF=2.01)且可准确监测微小应变(～0.5%),具有宽应变监测范围;响应时间小于 50 ms,与人体皮肤的响应时间接近,足以监测人体运动信号;表现出优异的循环耐久性,10 000 次循环拉伸后仍能保持电阻信号变化稳定;同时具有湿度传感性能,对环境中湿度的变化能做出及时且准确的信号反馈.该离子传感纤维制备方法简便,具有工业化大规模的潜力,在智能健康监测、运动训练与优化、智能人机交互等领域均具有较大的发展潜力.
Dual-mode ion sensing fiber for motion monitoring
Addressing the issues of poor flexibility and low comfort associated with traditional rigid conductive materials,as well as the inadequate air and moisture permeability of existing ionic conductive materials typically found in the form of films or blocks,a one-dimensional ionic sensing fiber produced through a one-step wet spinning process was presented,and its physical and sensing properties were investigated to delineate its future development potential.The results indicate that ion sensing fibers display high sensitivity(GF=2.01)and can precisely monitor small strains(around 0.5%),showcasing a wide strain monitoring range.With a response time of less than 50 ms,closely mirroring the response time of human skin,the fibers are well-suited for monitoring human motion signals.Additionally,the fibers exhibit outstanding cyclic durability,preserving stable resistance signal changes even after 10 000 stretching cycles.Furthermore,they possess humidity sensing capabilities,delivering timely and accurate signal feedback in response to variations in environmental humidity.The ionic sensing fiber is easily prepared and holds significant potential for large-scale industrialization,making it highly promising in the realms of intelligent health monitoring,sports training and optimization,intelligent human-computer interaction and more.

ion sensing fiberresistive sensore-textiledual-modeionic liquid

张士进、田明伟、刘红

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青岛大学 纺织服装学院,山东 青岛 266075

青岛大学 生物多糖纤维成形与生态纺织国家重点实验室,山东 青岛 266075

离子传感纤维 电阻式传感器 电子织物 双模态 离子液体

国家自然科学基金国家自然科学基金国家重点研发计划国家重点研发计划山东省"泰山学者"建设工程专项山东省重大科技创新工程项目山东省青创科技创新团队项目山东省自然科学基金山东省自然科学基金山东省自然科学基金青岛市自然科学基金青岛市关键技术攻关及产业化示范类项目青岛市市南区科技计划

22208178623012902022YFB38058012022YFB3805802tsqn2022111162019JZZY0103352020KJA013ZR2023YQ037ZR2020QE074ZR2023QE04323-2-1-249-zyydjch23-1-7-zdfn-2-hz2022-3-005-DZ

2024

10.19333/j.mfkj.20231202306

毛纺科技
中国纺织信息中心 北京毛纺织科学研究所

毛纺科技

北大核心
影响因子：0.3
ISSN：1003-1456
年,卷(期)：2024.52(3)
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