Optical techniques for breath analysis : from single to multi-species detection

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http://hdl.handle.net/10138/307287

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Metsälä , M 2018 , ' Optical techniques for breath analysis : from single to multi-species detection ' , Journal of Breath Research , vol. 12 , no. 2 , 027104 . https://doi.org/10.1088/1752-7163/aa8a31

Title: Optical techniques for breath analysis : from single to multi-species detection
Author: Metsälä, M.
Contributor organization: Department of Chemistry
Date: 2018-04
Language: eng
Number of pages: 6
Belongs to series: Journal of Breath Research
ISSN: 1752-7155
DOI: https://doi.org/10.1088/1752-7163/aa8a31
URI: http://hdl.handle.net/10138/307287
Abstract: Optical spectroscopy can be used for trace-level gas analysis in different applications, including exhaled breath research. A common approach is the targeted on-line, real-time analysis of small molecules (two to five atoms). Currently, the methodology is normally used for the detection of single analytes at trace levels, or two to three species at most at the same time. The main limitation preventing sensitive multi-species detection has been the limited fast scanning range of the lasers used as light sources. This limitation is currently being eliminated by the availability of optical frequency combs (OFC) which offer wide spectral bandwidths and the benefits of a laser-type light source. Recent advances in mid-infrared OFC technology allow measurements in the so-called molecular fingerprint region of the electromagnetic spectrum, where many molecules have strong fundamental vibrational transitions that enable sensitive detection. Several technical hurdles remain to be overcome, but if these problems can be solved laser absorption spectroscopy has the potential to challenge mass spectrometry in on-line multi-species trace gas analysis.
Subject: breath analysis
laser spectroscopy
optical frequency comb
optical spectroscopy
FREQUENCY COMBS
NITRIC-OXIDE
SPECTROSCOPY
116 Chemical sciences
114 Physical sciences
Peer reviewed: Yes
Usage restriction: openAccess
Self-archived version: acceptedVersion


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