MXene-纤维素纳米纤维/聚乙烯醇导电水凝胶的制备及应用性能研究

Preparation and application of MXene-cellulose nanofiber/polyvinyl alcohol conductive hydrogels

  • 摘要: 为解决柔性应变传感器力学性能差、灵敏度低等问题,文章受肌腱结构的启发,以柔性聚乙烯醇(PVA)和刚性纤维素纳米纤维(CNF)分别模拟肌腱的柔性链段和刚性链段,以少层MXene作为导电功能活性材料,采用定向冷冻法,制备具有各向异性结构的类肌腱MXene-CNF/PVA导电水凝胶(简称MCP水凝胶);在此基础上,以MCP水凝胶作为传感元件,采用3M HVB胶带和双面导电铜胶带组合封装,制备柔性应变传感器。采用SEM、拉力实验机和电桥等手段,研究了不同材料组合对水凝胶形貌结构的影响,探究了不同材料配比的MCP水凝胶的力学性能,测试分析了基于MCP水凝胶制作的柔性传感器的传感性能及应用性能。结果表明:所制MCP水凝胶具有类肌腱的各向异性结构和良好的力学性能(断裂强度为1.57 MPa,杨氏模量为0.131 MPa,韧性为2.16 MJ/m3);基于MCP水凝胶制作的柔性传感器具有良好的灵敏度(GF=6.31)和耐拉伸疲劳性能(1600次循环)。该传感器还能准确感应人体生理信号及不同类型的运动信号。本研究为可穿戴传感器的设计提供了思路,同时有望拓宽可穿戴传感器的应用场景。

     

    Abstract: In order to solve the problems of poor mechanical properties and low sensitivity of flexible strain sensors, inspired by the structure of tendon, flexible polyvinyl alcohol (PVA) and rigid cellulose nanofiber (CNF) were used to simulate the flexible and rigid chain segments of tendon, and fewer layers MXene were used as conductive functional active materials, MXene-CNF/PVA conductive hydrogel (MCP hydrogel) with anisotropic structure was prepared by directional freezing method with compound of MXene, CNF and PVA. On this basis, the flexible strain sensor was prepared with MCP hydrogel as sensing element, encapsulated flexible sensors with double-sided conductive copper strip and 3M HVB tape. The effects of different material combinations on the morphology and structure of hydrogels were studied by means of SEM, tensile test machine and electric bridge, and the mechanical properties of MCP hydrogels with different material ratios were explored. The sensing and application properties of flexible sensor based on MCP hydrogels were tested and analyzed. The results show that the prepared MCP hydrogel with tendon-like anisotropic and excellent mechanical properties (breaking strength is 1.57 MPa, Young's modulus is 0.131 MPa, toughness is 2.16 MJ/m3). The flexible sensor base on MCP hydrogel has good sensitivity (GF=6.31) and resistance to tensile fatigue (1600 cycles). In addition, the sensor can accurately sense human physiological signals and different types of motion signals. This research provides ideas for the design of wearable sensors and is expected to broaden the application scenarios of wearable sensors.

     

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