Smart facemask for wireless CO2 monitoring
Metadatos
Mostrar el registro completo del ítemAutor
Escobedo Araque, Pablo; Fernández Ramos, María Dolores; López Ruiz, Nuria; Moyano-Rodríguez, Óscar; Martínez Olmos, Antonio; Pérez de Vargas Sansalvador, Isabel María; Carvajal Rodríguez, Miguel Ángel; Capitán Vallvey, Luis Fermín; Palma López, Alberto JoséEditorial
Springer Nature
Materia
Biomedical engineering Diagnostic markers Electrical engineering Electronic Engineering Optical materials Sensors and probes
Fecha
2022-01-10Referencia bibliográfica
Escobedo, P., Fernández-Ramos, M.D., López-Ruiz, N. et al. Smart facemask for wireless CO2 monitoring. Nat Commun 13, 72 (2022). [https://doi.org/10.1038/s41467-021-27733-3]
Patrocinador
B-FQM-243-UGR18 Consejeria de Economia, Innovacion, Ciencia y Empleo, Junta de Andalucia (Ministry of Economy, Innovation, Science and Employment, Government of Andalucia); P18-RT-2961 Consejeria de Economia, Innovacion, Ciencia y Empleo, Junta de Andalucia (Ministry of Economy, Innovation, Science and Employment, Government of Andalucia); DOC_00520 Consejeria de Economia, Innovacion, Ciencia y Empleo, Junta de Andalucia (Ministry of Economy, Innovation, Science and Employment, Government of Andalucia)Resumen
The use of facemasks by the general population is recommended worldwide to prevent the
spread of SARS-CoV-2. Despite the evidence in favour of facemasks to reduce community
transmission, there is also agreement on the potential adverse effects of their prolonged
usage, mainly caused by CO2 rebreathing. Herein we report the development of a sensing
platform for gaseous CO2 real-time determination inside FFP2 facemasks. The system con-
sists of an opto-chemical sensor combined with a flexible, battery-less, near-field-enabled tag
with resolution and limit of detection of 103 and 140 ppm respectively, and sensor lifetime of
8 h, which is comparable with recommended FFP2 facemask usage times. We include a
custom smartphone application for wireless powering, data processing, alert management,
results displaying and sharing. Through performance tests during daily activity and exercise
monitoring, we demonstrate its utility for non-invasive, wearable health assessment and its
potential applicability for preclinical research and diagnostics.