Year: 2023
Type: article
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.
Source: Nano Energy
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,600
Funders: National Science Foundation, U.S. Department of Energy, Purdue University, Leverhulme Trust, Royal Academy of Engineering, National Natural Science Foundation of China, Government of Jiangsu Province, Nanjing University of Aeronautics and Astronautics, Natural Science Foundation of Jiangsu Province, Nanjing University, Natural Resources, Energy and Science Authority of Sri Lanka, Office of Science, Horizon 2020 Framework Programme, HORIZON EUROPE Framework Programme, Division of Materials Research, Basic Energy Sciences
Awards: G1363868523, G1373413830, G2252123687, ACHIEVING LONG RANGE ORDERING IN OXIDE-METAL HYBRID MATERIALS —A COMBINED EXPERIMENTAL AND MODELING APPROACH, G2899851918, G325826332, G3318355, G354022056, G3576336851, G4015060545, G6219683030, Novel Two Phase Vertically Aligned Nanocomposites Beyond Oxides, G6515133643, G6523238283, Novel phase change materials with tunable transition properties, ACHIEVING LONG RANGE ORDERING IN OXIDE-METAL HYBRID MATERIALS —A COMBINED EXPERIMENTAL AND MODELING APPROACH, G7705990439, G8303346763, G8511283360, G8623880597, G958140636
OpenAlex ID: W4366245633