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High-Power DFB Diode Laser-Based CO-QEPAS Sensor: Optimization and Performance
A highly sensitive carbon monoxide (CO) trace gas sensor based on quartz-enhanced photoacoustic spectroscopy (QEPAS) was demonstrated. A high-power distributed feedback (DFB), continuous wave (CW) 2.33 μm diode laser with an 8.8 mW output power was used as the QEPAS excitation source. By optimizing...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795885/ https://www.ncbi.nlm.nih.gov/pubmed/29300310 http://dx.doi.org/10.3390/s18010122 |
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author | Ma, Yufei Tong, Yao He, Ying Yu, Xin Tittel, Frank K. |
author_facet | Ma, Yufei Tong, Yao He, Ying Yu, Xin Tittel, Frank K. |
author_sort | Ma, Yufei |
collection | PubMed |
description | A highly sensitive carbon monoxide (CO) trace gas sensor based on quartz-enhanced photoacoustic spectroscopy (QEPAS) was demonstrated. A high-power distributed feedback (DFB), continuous wave (CW) 2.33 μm diode laser with an 8.8 mW output power was used as the QEPAS excitation source. By optimizing the modulation depth and adding an optimum micro-resonator, compared to a bare quartz tuning fork (QTF), a 10-fold enhancement of the CO-QEPAS signal amplitude was achieved. When water vapor acting as a vibrational transfer catalyst was added to the target gas, the signal was further increased by a factor of ~7. A minimum detection limit (MDL) of 11.2 ppm and a calculated normalized noise equivalent absorption (NNEA) coefficient of 1.8 × 10(−5) cm(−1)W/√Hz were obtained for the reported CO-QEPAS sensor. |
format | Online Article Text |
id | pubmed-5795885 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-57958852018-02-13 High-Power DFB Diode Laser-Based CO-QEPAS Sensor: Optimization and Performance Ma, Yufei Tong, Yao He, Ying Yu, Xin Tittel, Frank K. Sensors (Basel) Article A highly sensitive carbon monoxide (CO) trace gas sensor based on quartz-enhanced photoacoustic spectroscopy (QEPAS) was demonstrated. A high-power distributed feedback (DFB), continuous wave (CW) 2.33 μm diode laser with an 8.8 mW output power was used as the QEPAS excitation source. By optimizing the modulation depth and adding an optimum micro-resonator, compared to a bare quartz tuning fork (QTF), a 10-fold enhancement of the CO-QEPAS signal amplitude was achieved. When water vapor acting as a vibrational transfer catalyst was added to the target gas, the signal was further increased by a factor of ~7. A minimum detection limit (MDL) of 11.2 ppm and a calculated normalized noise equivalent absorption (NNEA) coefficient of 1.8 × 10(−5) cm(−1)W/√Hz were obtained for the reported CO-QEPAS sensor. MDPI 2018-01-04 /pmc/articles/PMC5795885/ /pubmed/29300310 http://dx.doi.org/10.3390/s18010122 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ma, Yufei Tong, Yao He, Ying Yu, Xin Tittel, Frank K. High-Power DFB Diode Laser-Based CO-QEPAS Sensor: Optimization and Performance |
title | High-Power DFB Diode Laser-Based CO-QEPAS Sensor: Optimization and Performance |
title_full | High-Power DFB Diode Laser-Based CO-QEPAS Sensor: Optimization and Performance |
title_fullStr | High-Power DFB Diode Laser-Based CO-QEPAS Sensor: Optimization and Performance |
title_full_unstemmed | High-Power DFB Diode Laser-Based CO-QEPAS Sensor: Optimization and Performance |
title_short | High-Power DFB Diode Laser-Based CO-QEPAS Sensor: Optimization and Performance |
title_sort | high-power dfb diode laser-based co-qepas sensor: optimization and performance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795885/ https://www.ncbi.nlm.nih.gov/pubmed/29300310 http://dx.doi.org/10.3390/s18010122 |
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