Real-world evaluation of a QCM-based biosensor for exhaled air

[EN] The biosensor, named ¿virusmeter¿ in this study, integrates quartz crystal microbalance technology with an immune-functionalized chip to distinguish between symptomatic patients with respiratory diseases and healthy individuals by analyzing exhaled air samples. Renowned for its compact design,...

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Bibliographic Details
Authors: Juste-Dolz, Augusto Miguel|||0000-0003-4889-6419, Teixeira, William|||0000-0002-6729-9508, Pallás-Tamarit, Yeray|||0000-0002-1167-5631, Carrascosa Rubio, Javier|||0009-0003-4615-5278, Maquieira, Angel|||0000-0003-4641-4957, Carballido-Fernández, Mario, Morán-Porcar, Ángela, Redón-Badenas, María Ángeles, Pla-Roses, María Gracia, Tirado-Balaguer, María Dolores, Remolar-Quintana, María José, Ortiz-Carrera, Jon, Ibañez-Echevarría, Ethel, Giménez-Romero, David
Format: article
Publication Date:2024
Country:España
Institution:Universitat Politècnica de València (UPV)
Repository:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Language:English
OAI Identifier:oai:riunet.upv.es:10251/221652
Online Access:https://riunet.upv.es/handle/10251/221652
Access Level:Open access
Keyword:Virusmeter
Breathalyzer
QCM
Diagnosis
03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades
Description
Summary:[EN] The biosensor, named ¿virusmeter¿ in this study, integrates quartz crystal microbalance technology with an immune-functionalized chip to distinguish between symptomatic patients with respiratory diseases and healthy individuals by analyzing exhaled air samples. Renowned for its compact design, rapidity, and noninvasive nature, this device yields results within a 5-min timeframe. Evaluated under controlled conditions with 54 hospitalized symptomatic COVID-19 patients and 128 control subjects, the biosensor demonstrated good overall sensitivity (98.15%, 95% CI 90.1¿100.0) and specifcity (96.87%, 95% CI 92.2¿99.1). This proof-of-concept presents an innovative approach with signifcant potential for leveraging piezoelectric sensors to diagnose respiratory diseases.

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