Issue 32, 2020, Issue in Progress

Laser direct writing of carbonaceous sensors on cardboard for human health and indoor environment monitoring

Abstract

Paper-based sensing platforms hold promise in human physiological health monitoring, soft robots, and indoor environment monitoring, owing to their cost effectiveness, flexibility, disposability, and biodegradability. However, most of the existing paper-based sensors require complex fabrication procedures which are also associated with high-cost. Herein, we report a simple yet effective manufacturing process of paper-based carbonaceous sensors based on a laser direct writing (LDW) method. Specifically, carbonaceous pressure, temperature, and humidity sensors on cardboard are developed for human physiological signal monitoring and indoor environment monitoring. Due to the external force induced compaction of the layered carbon flakes, the LDW pressure sensor array has a sensitivity of ∼−0.563 kPa−1, a broad sensing range (0.009–50 kPa), and a high mechanical durability (over 11 000 cycles), all of which are promising for human health monitoring. The LDW-temperature and humidity devices have sensitivities of −0.002/°C and 36.75 fF per %RH, respectively. A prototype is developed using cardboard integrated with temperature and humidity sensors, which not only serves as an ornament to decorate homes but also works as a sensor platform for indoor environment monitoring. Systematic investigation of the LDW manufacturing process, sensing mechanisms, and sensor design and evaluation illustrates the key aspects of carbonaceous sensors.

Graphical abstract: Laser direct writing of carbonaceous sensors on cardboard for human health and indoor environment monitoring

Supplementary files

Article information

Article type
Paper
Submitted
10 Mar 2020
Accepted
05 May 2020
First published
18 May 2020
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2020,10, 18694-18703

Laser direct writing of carbonaceous sensors on cardboard for human health and indoor environment monitoring

K. Ju, Y. Gao, T. Xiao, C. Yu, J. Tan and F. Xuan, RSC Adv., 2020, 10, 18694 DOI: 10.1039/D0RA02217A

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