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Flexible, Highly Sensitive, and Ultrafast Responsive Pressure Sensor with Stochastic Microstructures for Human Health Monitoring
Author(s) -
Zhang Xinyu,
Chen Fei,
Han Lewei,
Zhang Gang,
Hu Yougen,
Jiang Wenlong,
Zhu Pengli,
Sun Rong,
Wong Ching-Ping
Publication year - 2021
Publication title -
advanced engineering materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 114
eISSN - 1527-2648
pISSN - 1438-1656
DOI - 10.1002/adem.202000902
Subject(s) - materials science , ultrashort pulse , thermoplastic polyurethane , wearable computer , pressure sensor , sensitivity (control systems) , response time , substrate (aquarium) , nanotechnology , computer science , mechanical engineering , electronic engineering , optics , composite material , embedded system , laser , oceanography , physics , computer graphics (images) , geology , elastomer , engineering
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.