Wentao Wang;Ziqiang Chen;Zeping Deng;Jiyuan Sun;Yixiong Yan
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Oxalis-Inspired, Two-Stage Interlocking of Bionic Micro-Jigsaw Structure in Laser-Induced Graphene-Based Pressure Sensor
Achieving high sensitivity over a wide response range is a major challenge for pressure sensors. Inspired by the unique geometry of natural oxalis leaves, we here propose a novel approach that includes preetching, growth, and transfer process to fabricate laser-induced graphene (LIG) with a two-stage (e.g., micro-jigsaw, micropore) structure. Experimentally, the oxalis-inspired pressure sensor exhibits a balanced sensitivity and response range (sensitivity of 15.8 kPa-1 in a linearity range of 0.5–5 kPa), due to the piezoresistive synergistic effects of two-stage structures. The mechanical interlocking between outer micro-jigsaw structures initiates huge resistance changes, whereas the inner shape-adaptive micropore structure plays a buffer role in the dynamic deformation, enabling reversible resilience over a wide working range. In combination with a self-developed all-in-one wireless transmission system, the oxalis-inspired pressure sensor is further assembled to monitor various health parameters such as tiny pulse, heartbeat, and voice, revealing a huge prospect in future wearable electronics.
期刊介绍:
The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following:
-Sensor Phenomenology, Modelling, and Evaluation
-Sensor Materials, Processing, and Fabrication
-Chemical and Gas Sensors
-Microfluidics and Biosensors
-Optical Sensors
-Physical Sensors: Temperature, Mechanical, Magnetic, and others
-Acoustic and Ultrasonic Sensors
-Sensor Packaging
-Sensor Networks
-Sensor Applications
-Sensor Systems: Signals, Processing, and Interfaces
-Actuators and Sensor Power Systems
-Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting
-Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data)
-Sensors in Industrial Practice