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Photoacoustic heterodyne breath sensor for real-time measurement of human exhaled carbon monoxide

A breath sensor for real-time measurement of human exhaled carbon monoxide is reported. This breath sensor is based on a novel photoacoustic heterodyne gas sensing technique, which combines the conventional photoacoustic spectroscopy with the beat-frequency detection algorithm, thus offering a fast...

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Detalles Bibliográficos
Autores principales: Li, Biao, Feng, Chaofan, Wu, Hongpeng, Jia, Suotang, Dong, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441263/
https://www.ncbi.nlm.nih.gov/pubmed/36068802
http://dx.doi.org/10.1016/j.pacs.2022.100388
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author Li, Biao
Feng, Chaofan
Wu, Hongpeng
Jia, Suotang
Dong, Lei
author_facet Li, Biao
Feng, Chaofan
Wu, Hongpeng
Jia, Suotang
Dong, Lei
author_sort Li, Biao
collection PubMed
description A breath sensor for real-time measurement of human exhaled carbon monoxide is reported. This breath sensor is based on a novel photoacoustic heterodyne gas sensing technique, which combines the conventional photoacoustic spectroscopy with the beat-frequency detection algorithm, thus offering a fast response time and a convenient optical alignment, as well as eliminating the needs for frequency calibration and wavelength locking. The principle of photoacoustic heterodyne gas sensing was explained in detail. The performance of the photoacoustic heterodyne breath sensor was evaluated in terms of minimum detection limit, response time, and linearity. The exhaled carbon monoxide levels of eight volunteers were measured and the results demonstrate the reliability and feasibility of this breath sensor.
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spelling pubmed-94412632022-09-05 Photoacoustic heterodyne breath sensor for real-time measurement of human exhaled carbon monoxide Li, Biao Feng, Chaofan Wu, Hongpeng Jia, Suotang Dong, Lei Photoacoustics Special Section: Special issue on "Photoacoustic spectroscopy for gas sensing: from theoretical modeling to applications" A breath sensor for real-time measurement of human exhaled carbon monoxide is reported. This breath sensor is based on a novel photoacoustic heterodyne gas sensing technique, which combines the conventional photoacoustic spectroscopy with the beat-frequency detection algorithm, thus offering a fast response time and a convenient optical alignment, as well as eliminating the needs for frequency calibration and wavelength locking. The principle of photoacoustic heterodyne gas sensing was explained in detail. The performance of the photoacoustic heterodyne breath sensor was evaluated in terms of minimum detection limit, response time, and linearity. The exhaled carbon monoxide levels of eight volunteers were measured and the results demonstrate the reliability and feasibility of this breath sensor. Elsevier 2022-08-09 /pmc/articles/PMC9441263/ /pubmed/36068802 http://dx.doi.org/10.1016/j.pacs.2022.100388 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Special Section: Special issue on "Photoacoustic spectroscopy for gas sensing: from theoretical modeling to applications"
Li, Biao
Feng, Chaofan
Wu, Hongpeng
Jia, Suotang
Dong, Lei
Photoacoustic heterodyne breath sensor for real-time measurement of human exhaled carbon monoxide
title Photoacoustic heterodyne breath sensor for real-time measurement of human exhaled carbon monoxide
title_full Photoacoustic heterodyne breath sensor for real-time measurement of human exhaled carbon monoxide
title_fullStr Photoacoustic heterodyne breath sensor for real-time measurement of human exhaled carbon monoxide
title_full_unstemmed Photoacoustic heterodyne breath sensor for real-time measurement of human exhaled carbon monoxide
title_short Photoacoustic heterodyne breath sensor for real-time measurement of human exhaled carbon monoxide
title_sort photoacoustic heterodyne breath sensor for real-time measurement of human exhaled carbon monoxide
topic Special Section: Special issue on "Photoacoustic spectroscopy for gas sensing: from theoretical modeling to applications"
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441263/
https://www.ncbi.nlm.nih.gov/pubmed/36068802
http://dx.doi.org/10.1016/j.pacs.2022.100388
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