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Graphene Aerogel‐Based Pressure Sensors with Gradient Structure for Subtle Physiological Signals and Motion Monitoring
Advanced Materials Technologies ( IF 6.8 ) Pub Date : 2024-03-14 , DOI: 10.1002/admt.202302169
Jing Liu 1 , Wenbo Li 2 , Jing Li 2 , Keke Wang 3 , Yating Wen 3 , Jiawei Wang 1 , Baoxun Zhang 1 , Jiongli Li 1 , Xudong Wang 1 , Zhandong Huang 3
Affiliation  

High‐performance flexible wearable pressure sensors require the simple preparation method coupled with a well‐designed structure. Graphene aerogel has garnered significant attention as a flexible pressure sensor due to its exceptional features such as high porosity, favorable compressibility, and fine conductivity. However, it remains challenging to precisely control the 3D structure of the graphene aerogel within the sensors, which limits the detection sensitivity and application range. Here, a freeze‐assisted transfer printing strategy (FATPS) is proposed for fabricating a high‐performance graphene aerogel‐based sensor with the gradient structures. Compared to sensors prepared using mold methods, the sensitivity of the sensor produced through FATPS can be enhanced by nearly tenfold. Furthermore, the gradient structure empowers the graphene pressure sensor with excellent reliability and rapid response time (50 ms) within the pressure range of 0.1–50 kPa. The sensor exhibits the capability to monitor and recognize various physiological activities, including pulse, vocalization, coughing, swallowing, and finger bending. It is expected that the sensor has remarkable potential applications in medical diagnosis, disability aid, and athletic injury prevention and so on.

中文翻译:

具有梯度结构的基于石墨烯气凝胶的压力传感器,用于微妙的生理信号和运动监测

高性能柔性可穿戴压力传感器需要简单的制备方法和精心设计的结构。石墨烯气凝胶作为柔性压力传感器因其高孔隙率、良好的压缩性和良好的导电性等卓越特性而受到广泛关注。然而,精确控制传感器内石墨烯气凝胶的3D结构仍然具有挑战性,这限制了检测灵敏度和应用范围。在这里,提出了一种冷冻辅助转移印刷策略(FATPS)来制造具有梯度结构的高性能石墨烯气凝胶传感器。与使用模具方法制备的传感器相比,通过FATPS生产的传感器的灵敏度可以提高近十倍。此外,梯度结构使石墨烯压力传感器在0.1-50 kPa的压力范围内具有优异的可靠性和快速响应时间(50 ms)。该传感器具有监测和识别各种生理活动的能力,包括脉搏、发声、咳嗽、吞咽和手指弯曲。预计该传感器在医疗诊断、残疾辅助、运动损伤预防等方面具有显着的潜在应用前景。
更新日期:2024-03-14
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