Face mask integrated with flexible and wearable manganite oxide respiration sensor

Ye, L. et al. (2023) Face mask integrated with flexible and wearable manganite oxide respiration sensor. Nano Energy, 112, 108460. (doi: 10.1016/j.nanoen.2023.108460)

Abstract

Face masks are key personal protective equipment for reducing exposure to viruses and other environmental hazards such as air pollution. Integrating flexible and wearable sensors into face masks can provide valuable insights into personal and public health. The advantages that a breath-monitoring face mask requires, including multi-functional sensing ability and continuous, long-term dynamic breathing process monitoring, have been underdeveloped to date. Here, we design an effective human breath monitoring face mask based on a flexible La0.7Sr0.3MnO3 (LSMO)/Mica respiration sensor. The sensor’s capabilities and systematic measurements are investigated under two application scenes, namely clinical monitoring mode and daily monitoring mode, to monitor, recognise, and analyse different human breath status, i.e., cough, normal breath, and deep breath. This sensing system exhibits super-stability and multi-modal capabilities in continuous and long-time monitoring of the human breath. We determine that during monitoring human breath, thermal diffusion in LSMO is responsible for the change of resistance in flexible LSMO/Mica sensor. Both simulated and experimental results demonstrate good discernibility of the flexible LSMO/Mica sensor operating at different breath status. Our work opens a route for the design of novel flexible and wearable electronic devices.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Jing, Dr Qingshen

Creator Roles

Jing, Q.: Conceptualization, Project administration, Software, Data curation, Methodology, Writing – original draft, Writing – review and editing

• Authors: Ye, L., Wu, F., Xu, R., Zhang, D., Lu, J., Wang, C., Dong, A., Xu, S., Xue, L., Fan, Z., Xu, L., Li, K., Li, D., Kursumovic, A., Zhao, R., Tang, R., Qiu, L., Wang, H., MacManus-Driscoll, J. L., Jing, Q., Li, W., and Yang, H.
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• Journal Name: Nano Energy
• Publisher: Elsevier
• ISSN: 2211-2855
• ISSN (Online): 2211-3282
• Published Online: 18 April 2023
• Copyright Holders: Copyright © 2023 The Authors
• First Published: First published in Nano Energy 112: 108460
• Publisher Policy: Reproduced under a Creative Commons License