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Breath Analysis Using Laser Spectroscopic Techniques: Breath Biomarkers, Spectral Fingerprints, and Detection Limits
Open accessAbstract
Breath analysis, a promising new field of medicine and medical instrumentation, potentially offers noninvasive, real-time, and point-of-care (POC) disease diagnostics and metabolic status monitoring. Numerous breath biomarkers have been detected and quantified so far by using the GC-MS technique. Recent advances in laser spectroscopic techniques and laser sources have driven breath analysis to new heights, moving from laboratory research to commercial reality. Laser spectroscopic detection techniques not only have high-sensitivity and high-selectivity, as equivalently offered by the MS-based techniques, but also have the advantageous features of near real-time response, low instrument costs, and POC function. Of the approximately 35 established breath biomarkers, such as acetone, ammonia, carbon dioxide, ethane, methane, and nitric oxide, 14 species in exhaled human breath have been analyzed by high-sensitivity laser spectroscopic techniques, namely, tunable diode laser absorption spectroscopy (TDLAS), cavity ringdown spectroscopy (CRDS), integrated cavity output spectroscopy (ICOS), cavity enhanced absorption spectroscopy (CEAS), cavity leak-out spectroscopy (CALOS), photoacoustic spectroscopy (PAS), quartz-enhanced photoacoustic spectroscopy (QEPAS), and optical frequency comb cavity-enhanced absorption spectroscopy (OFC-CEAS). Spectral fingerprints of the measured biomarkers span from the UV to the mid-IR spectral regions and the detection limits achieved by the laser techniques range from parts per million to parts per billion levels. Sensors using the laser spectroscopic techniques for a few breath biomarkers, e.g., carbon dioxide, nitric oxide, etc. are commercially available. This review presents an update on the latest developments in laser-based breath analysis.
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Cites
(2005) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200406-710st · Cited by 3,203
Turner, C., Španěl, P., & Smith, D. (2006) · Physiological Measurement · doi:10.1088/0967-3334/27/4/001 · Cited by 379
Cited by
Hodgkinson, J., & Tatam, R. P. (2013) · Measurement Science and Technology · doi:10.1088/0957-0233/24/1/012004 · Cited by 1,745
Point of Care Diagnostics: Status and Future
Gubala, V., Harris, L. F., Ricco, A. J., Tan, M. X., & Williams, D. E. (2012) · Analytical Chemistry · doi:10.1021/ac2030199 · Cited by 1,194
Recent advances in wearable sensors for animal health management
Neethirajan, S. (2017) · Sensing and Bio-Sensing Research · doi:10.1016/j.sbsr.2016.11.004 · Cited by 502
Advances in Electronic-Nose Technologies Developed for Biomedical Applications
Wilson, A. D., & Baietto, M. (2011) · Sensors · doi:10.3390/s110101105 · Cited by 400
A review of breath analysis for diagnosis of human health
Kim, K.-H., Jahan, S. A., & Kabir, E. (2012) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2011.09.013 · Cited by 345
Metadata
- Authors
- Wang, C., & Sahay, P.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2009-10-19
- Volume
- 9
- Issue
- 10
- Pages
- 8230-8262
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2056132214
- Cited by
- 596
- References
- 2
- FWCI
- 7.84
- Type
- journal article
- Language
- en
- Open access
- gold
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- Wang, C., & Sahay, P. (2009). Breath Analysis Using Laser Spectroscopic Techniques: Breath Biomarkers, Spectral Fingerprints, and Detection Limits. Sensors. https://doi.org/10.3390/s91008230
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