Department of Advanced Production Engineering (APE), Engineering and Technology Institute Groningen (ENTEG) , University of Groningen , Groningen 9747 AG , The Netherlands.
MIT Sea Grant College Program , Massachusetts Institute of Technology (MIT) , 77 Massachusetts Avenue , NW98-151, Cambridge , Massachusetts 02139 , United States.
ACS Appl Mater Interfaces. 2019 Sep 25;11(38):35201-35211. doi: 10.1021/acsami.9b11776. Epub 2019 Sep 11.
The growing demand for flexible, ultrasensitive, squeezable, skin-mountable, and wearable sensors tailored to the requirements of personalized health-care monitoring has fueled the necessity to explore novel nanomaterial-polymer composite-based sensors. Herein, we report a sensitive, 3D squeezable graphene-polydimethylsiloxane (PDMS) foam-based piezoresistive sensor realized by infusing multilayered graphene nanoparticles into a sugar-scaffolded porous PDMS foam structure. Static and dynamic compressive strain testing of the resulting piezoresistive foam sensors revealed two linear response regions with an average gauge factor of 2.87-8.77 over a strain range of 0-50%. Furthermore, the dynamic stimulus-response revealed the ability of the sensors to effectively track dynamic pressure up to a frequency of 70 Hz. In addition, the sensors displayed a high stability over 36000 cycles of cyclic compressive loading and 100 cycles of complete human gait motion. The 3D sensing foams were applied to experimentally demonstrate accurate human gait monitoring through both simulated gait models and real-time gait characterization experiments. The real-time gait experiments conducted demonstrate that the information of the pressure profile obtained at three locations in the shoe sole could not only differentiate between different kinds of human gaits including walking and running but also identify possible fall conditions. This work also demonstrates the capability of the sensors to differentiate between foot anatomies, such as a flat foot (low central arch) and a medium arch foot, which is biomechanically more efficient. Furthermore, the sensors were able to sense various basic joint movement responses demonstrating their suitability for personalized health-care applications.
对灵活、超灵敏、可挤压、可贴肤和可穿戴传感器的需求不断增长,这些传感器需要根据个性化医疗保健监测的要求进行定制,这推动了人们对基于新型纳米材料-聚合物复合材料的传感器进行探索。在此,我们报告了一种灵敏的 3D 可挤压石墨烯-聚二甲基硅氧烷(PDMS)泡沫基压阻传感器,该传感器通过将多层石墨烯纳米粒子注入到糖支架多孔 PDMS 泡沫结构中实现。对所得压阻泡沫传感器的静态和动态压缩应变测试显示,在 0-50%的应变范围内,其具有两个线性响应区域,平均应变系数为 2.87-8.77。此外,动态刺激-响应表明传感器能够有效地跟踪高达 70 Hz 的动态压力。此外,该传感器在 36000 次循环压缩加载和 100 次完整人体步态运动的循环中表现出高稳定性。3D 传感泡沫被应用于实验中,通过模拟步态模型和实时步态特征实验来证明准确的人体步态监测。进行的实时步态实验表明,在鞋底三个位置获得的压力分布信息不仅可以区分不同的人类步态,包括行走和跑步,还可以识别可能的跌倒情况。这项工作还证明了传感器能够区分平足(低足弓)和中足弓等足部解剖结构,因为后者在生物力学上更有效。此外,传感器能够感知各种基本关节运动反应,表明其适用于个性化医疗保健应用。