基于双传感机制的多功能水凝胶基传感器件设计

Design of a Multifunctional Hydrogel-Based Utilizing a Dual-Sensor Mechanism

  • 摘要: 柔性传感器的发展受到了越来越多的关注,但大多数报道的柔性传感器都是单信号传感器。本研究成功设计了一种基于双传感机制的多功能柔性传感器。首先采用聚乙烯醇(PVA)和壳聚糖(CS)材料,通过两步法和低温冷冻循环制备了具有三维网络结构的双网络水凝胶,经磷酸/甘油(H 3PO 4/GL)改性后获得优异综合性能:拉伸强度达2.91 MPa,断裂伸长率294%,在 1500次循环测试中仅产生2.5 cm形变且应力保持稳定。通过对比PCG复合水凝胶在不同环境下的自修复性,发现该复合水凝胶在酸性条件下恢复效果最佳,并进一步采用低温压制的方法制备双传感机制的水凝胶柔性传感器。不仅可作为压阻式关节运动传感器实时监测人体活动(行走、跑步等),还能基于摩擦电信号实现,在潮湿环境下产生稳定电信号并识别肢体动作。同时,该传感器可应用于呼气酒精检测,通过电阻变化率与酒精分子之间的响应度,建立的线性拟合曲线拟合度达到R 2= 0.99523,实现了对乙醇分子的高灵敏检测。这种双模态传感系统有效避免了传统单信号器件的局限性,为可穿戴电子设备和传感应用设计提供了一种新方法。

     

    Abstract: Flexible sensors have attracted increasing attention, however most reported flexible sensors rely on single-signal detection. In this study, we successfully developed a multifunctional flexible sensor based on dual sensing mechanisms. A double-network hydrogel with a three-dimensional network structure was first prepared using polyvinyl alcohol (PVA) and chitosan (CS) through a two-step method combined with low-temperature freeze-thaw cycling. After modification with phosphoric acid/glycerol (H 3PO 4/GL), the hydrogel exhibited excellent comprehensive properties: a tensile strength of 2.91 MPa, an elongation at break of 294%, and only 2.5 cm of deformation after 1500 cyclic tests while maintaining stable stress. By comparing the self-healing properties of the PCG composite hydrogels under different environmental conditions, we found that the hydrogel demonstrated optimal recovery performance in an acidic environment. Subsequently, a dual-mechanism hydrogel-based flexible sensor is fabricated via low-temperature pressing. This sensor not only functions as a piezoresistive joint motion sensor for real-time monitoring of human activities (e.g., walking and running), but also generates stable triboelectric signals in humid environments for limb motion recognition. In addition, the sensor was applied for breath alcohol detection, where the resistance change rate exhibited a highly sensitive response to ethanol molecules. A linear fitting curve was established with a correlation coefficient of R 2= 0.99523, demonstrating excellent detection capability. This dual-modal sensing system effectively overcomes the limitations of traditional single-signal devices and provides a novel approach for the design of wearable electronics and sensing applications.

     

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