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Multi-Line Fit Model for the Detection of Methane at ν(2) + 2ν(3) Band using Hollow-Core Photonic Bandgap Fibres

Hollow-core photonic bandgap fibres (HC-PBFs) have emerged as a novel technology in the field of gas sensing. The long interaction pathlengths achievable with these fibres are especially advantageous for the detection of weakly absorbing gases. In this work, we demonstrate the good performance of a...

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Detalles Bibliográficos
Autores principales: Cubillas, Ana M., Lazaro, Jose M., Conde, Olga M., Petrovich, Marco N., Lopez-Higuera, Jose M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280758/
https://www.ncbi.nlm.nih.gov/pubmed/22389612
http://dx.doi.org/10.3390/s90100490
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author Cubillas, Ana M.
Lazaro, Jose M.
Conde, Olga M.
Petrovich, Marco N.
Lopez-Higuera, Jose M.
author_facet Cubillas, Ana M.
Lazaro, Jose M.
Conde, Olga M.
Petrovich, Marco N.
Lopez-Higuera, Jose M.
author_sort Cubillas, Ana M.
collection PubMed
description Hollow-core photonic bandgap fibres (HC-PBFs) have emerged as a novel technology in the field of gas sensing. The long interaction pathlengths achievable with these fibres are especially advantageous for the detection of weakly absorbing gases. In this work, we demonstrate the good performance of a HC-PBF in the detection of the ν(2) + 2ν(3) band of methane, at 1.3 μm. The Q-branch manifold, at 1331.55 nm, is targeted for concentration monitoring purposes. A computationally optimized multi-line model is used to fit the Q-branch. Using this model, a detection limit of 98 ppmv (parts per million by volume) is estimated.
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spelling pubmed-32807582012-03-02 Multi-Line Fit Model for the Detection of Methane at ν(2) + 2ν(3) Band using Hollow-Core Photonic Bandgap Fibres Cubillas, Ana M. Lazaro, Jose M. Conde, Olga M. Petrovich, Marco N. Lopez-Higuera, Jose M. Sensors (Basel) Article Hollow-core photonic bandgap fibres (HC-PBFs) have emerged as a novel technology in the field of gas sensing. The long interaction pathlengths achievable with these fibres are especially advantageous for the detection of weakly absorbing gases. In this work, we demonstrate the good performance of a HC-PBF in the detection of the ν(2) + 2ν(3) band of methane, at 1.3 μm. The Q-branch manifold, at 1331.55 nm, is targeted for concentration monitoring purposes. A computationally optimized multi-line model is used to fit the Q-branch. Using this model, a detection limit of 98 ppmv (parts per million by volume) is estimated. Molecular Diversity Preservation International (MDPI) 2009-01-14 /pmc/articles/PMC3280758/ /pubmed/22389612 http://dx.doi.org/10.3390/s90100490 Text en © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Cubillas, Ana M.
Lazaro, Jose M.
Conde, Olga M.
Petrovich, Marco N.
Lopez-Higuera, Jose M.
Multi-Line Fit Model for the Detection of Methane at ν(2) + 2ν(3) Band using Hollow-Core Photonic Bandgap Fibres
title Multi-Line Fit Model for the Detection of Methane at ν(2) + 2ν(3) Band using Hollow-Core Photonic Bandgap Fibres
title_full Multi-Line Fit Model for the Detection of Methane at ν(2) + 2ν(3) Band using Hollow-Core Photonic Bandgap Fibres
title_fullStr Multi-Line Fit Model for the Detection of Methane at ν(2) + 2ν(3) Band using Hollow-Core Photonic Bandgap Fibres
title_full_unstemmed Multi-Line Fit Model for the Detection of Methane at ν(2) + 2ν(3) Band using Hollow-Core Photonic Bandgap Fibres
title_short Multi-Line Fit Model for the Detection of Methane at ν(2) + 2ν(3) Band using Hollow-Core Photonic Bandgap Fibres
title_sort multi-line fit model for the detection of methane at ν(2) + 2ν(3) band using hollow-core photonic bandgap fibres
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280758/
https://www.ncbi.nlm.nih.gov/pubmed/22389612
http://dx.doi.org/10.3390/s90100490
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