He Guanliang, Zhu Chuang, Shi Yuze, Yu Yingjia, Wu Yi, Soutis Constantinos, Cao Le, Liu Xuqing
Shandong Laboratory of Advanced Materials and Green Manufacturing at Yantai, Yantai, Shandong 264006, China.
Department of Materials, School of Natural Sciences, University of Manchester, Oxford Rd, Manchester M13 9PL, UK.
iScience. 2024 Dec 30;28(2):111711. doi: 10.1016/j.isci.2024.111711. eCollection 2025 Feb 21.
Graphene-based flexible yarn sensors are promising due to their exceptional conductivity and user-friendly properties, but ensuring stable graphene adsorption on fibers for long-term durability remains challenging. Herein, we produce a flexible polydopamine (PDA)-modified cotton yarn via a simple dip-coating process using a self-made sodium deoxycholate (SDC)-modified graphene dispersion, avoiding non-biodegradable, corrosion-prone metallic coatings. The resulting sensor exhibits low electrical resistance (as low as 21.1Ω ± 0.2/cm), high bending sensitivity (resistance change rate of 3.557 ± 0.002 for bending ranges from 40% to 100%), and outstanding durability over 2,000 flexural bending cycles. It can monitor various human body movements and physiological states and be integrated into wearable electronic textiles (e-textiles) for applications like monitoring knee movements, recognizing hand gestures, and detecting thoracic respiratory status. This work highlights the sensor's potential in personal and public healthcare applications.
基于石墨烯的柔性纱线传感器因其卓越的导电性和用户友好的特性而颇具前景,但要确保石墨烯在纤维上的稳定吸附以实现长期耐用性仍具有挑战性。在此,我们通过简单的浸涂工艺,使用自制的脱氧胆酸钠(SDC)改性石墨烯分散液,制备了一种柔性聚多巴胺(PDA)改性棉纱,避免了使用不可生物降解、易腐蚀的金属涂层。所得传感器具有低电阻(低至21.1Ω ± 0.2/cm)、高弯曲灵敏度(弯曲范围为40%至100%时电阻变化率为3.557 ± 0.002)以及在2000次弯曲循环中表现出的出色耐久性。它可以监测各种人体运动和生理状态,并集成到可穿戴电子纺织品(电子织物)中,用于监测膝盖运动、识别手势和检测胸部呼吸状态等应用。这项工作突出了该传感器在个人和公共医疗保健应用中的潜力。