openQCM – Powered by Novaetech S.r.l
Publications citing the applications of openQCM (by Novaetech S.r.l.) instruments and accessories in scientific research.
The list of scientific papers published on the most important journals showing the usage of openQCM in several scientific fields, such as thin film deposition, chemical sensors, biological research and biosensors.
Because of the large number of publications, we are reorganizing everything by subject areas. This will take some time. Thank you for your patience
Juste-Dolz, Augusto; Teixeira, William; Pallás-Tamarit, Yeray; Carballido-Fernández, Mario; Carrascosa, Javier; Morán-Porcar, Ángela; Redón-Badenas, Mar'ia Ángeles; Pla-Roses, Mar'ia Gracia; Tirado-Balaguer, Mar'ia Dolores; Remolar-Quintana, Mar'ia José; others,
Real-world evaluation of a QCM-based biosensor for exhaled air Journal Article
In: Analytical and Bioanalytical Chemistry, pp. 1–15, 2024.
Abstract | Links | BibTeX | Tags: COVID-19, openQCM Q-1, QCM-D, respiratory diseases, virusmeter
@article{juste2024real,
title = {Real-world evaluation of a QCM-based biosensor for exhaled air},
author = {Augusto Juste-Dolz and William Teixeira and Yeray Pallás-Tamarit and Mario Carballido-Fernández and Javier Carrascosa and Ángela Morán-Porcar and Mar'ia Ángeles Redón-Badenas and Mar'ia Gracia Pla-Roses and Mar'ia Dolores Tirado-Balaguer and Mar'ia José Remolar-Quintana and others},
url = {https://link.springer.com/article/10.1007/s00216-024-05407-5},
doi = {https://doi.org/10.1007/s00216-024-05407-5},
year = {2024},
date = {2024-06-26},
urldate = {2024-06-26},
journal = {Analytical and Bioanalytical Chemistry},
pages = {1--15},
publisher = {Springer},
abstract = {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 specificity (96.87%, 95% CI 92.2–99.1). This proof-of-concept presents an innovative approach with significant potential for leveraging piezoelectric sensors to diagnose respiratory diseases.},
keywords = {COVID-19, openQCM Q-1, QCM-D, respiratory diseases, virusmeter},
pubstate = {published},
tppubtype = {article}
}
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