Flexible, Highly Sensitive, and Ultrafast Responsive Pressure Sensor with Stochastic Microstructures for Human Health Monitoring

被引:17
作者
Zhang, Xinyu [1 ,2 ]
Chen, Fei [2 ,3 ]
Han, Lewei [2 ]
Zhang, Gang [1 ]
Hu, Yougen [2 ]
Jiang, Wenlong [1 ]
Zhu, Pengli [2 ]
Sun, Rong [2 ]
Wong, Ching-Ping [4 ]
机构
[1] Jilin Normal Univ, Coll Informat & Technol, Changchun 130000, Peoples R China
[2] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen Inst Adv Elect Mat, Shenzhen 518055, Peoples R China
[3] Univ Sci & Technol China, Nano Sci & Technol Inst, Suzhou 215123, Peoples R China
[4] Georgia Inst Technol, Sch Mech Engn, 771 Ferst Dr, Atlanta, GA 30332 USA
基金
中国国家自然科学基金;
关键词
abrasive paper; flexible pressure sensor; human health monitoring; stochastic microstructures; thermoplastic polyurethane; WEARABLE PRESSURE; HIGH-PERFORMANCE; ELECTRONIC SKIN; GRAPHENE FILMS; STRAIN; COMPOSITE; DESIGN; ARRAYS;
D O I
10.1002/adem.202000902
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Flexible and wearable sensors are now becoming the favorite of the new information age for their great prospects, especially in human health monitoring, and which are mainly aimed at improving the comprehensive sensing performance. However, the equilibrium between sensitivity and response time of the sensor has not been well balanced. Herein, a simple and low-cost strategy to fabricate flexible pressure sensors based on thermoplastic polyurethane (TPU) substrate with unique surface stochastic morphology replicated from the abrasive paper, which is inspired by skin epidermis, is presented. The integrated TPU flexible pressure sensor exhibits a high sensitivity of -2.24 kPa(-1) in a linear pressure regime of 0-200 Pa, and the effective working range of this sensor is close to 2 kPa, ultrafast response time and relaxation time of 10 ms, low detection limits of 0.72 Pa, and excellent cycling stability over 3000 cycles. The fabricated sensors demonstrate outstanding sensing capabilities in monitoring human physiological signals, such as subtle pulse, wrist movement, and speech recognition, making promising potential in practical human health monitoring applications.
引用
收藏
页数:9
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