Ozone Detection via Deep-Ultraviolet Cavity-Enhanced Absorption Spectroscopy with a Laser Driven Light Source.

cavity-enhanced spectroscopy deep ultraviolet ozone ultraviolet spectroscopy

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
23 May 2023
Historique:
received: 27 04 2023
revised: 18 05 2023
accepted: 19 05 2023
medline: 12 6 2023
pubmed: 10 6 2023
entrez: 10 6 2023
Statut: epublish

Résumé

We present a novel sensing approach for ambient ozone detection based on deep-ultraviolet (DUV) cavity-enhanced absorption spectroscopy (CEAS) using a laser driven light source (LDLS). The LDLS has broadband spectral output which, with filtering, provides illumination between ~230-280 nm. The lamp light is coupled to an optical cavity formed from a pair of high-reflectivity (R~0.99) mirrors to yield an effective path length of ~58 m. The CEAS signal is detected with a UV spectrometer at the cavity output and spectra are fitted to yield the ozone concentration. We find a good sensor accuracy of <~2% error and sensor precision of ~0.3 ppb (for measurement times of ~5 s). The small-volume (<~0.1 L) optical cavity is amenable to a fast response with a sensor (10-90%) response time of ~0.5 s. Demonstrative sampling of outdoor air is also shown with favorable agreement against a reference analyzer. The DUV-CEAS sensor compares favorably against other ozone detection instruments and may be particularly useful for ground-level sampling including that from mobile platforms. The sensor development work presented here can also inform of the possibilities of DUV-CEAS with LDLSs for the detection of other ambient species including volatile organic compounds.

Identifiants

pubmed: 37299716
pii: s23114989
doi: 10.3390/s23114989
pmc: PMC10255287
pii:
doi:

Substances chimiques

Ozone 66H7ZZK23N

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Colorado Office of Economic Development and International Trade - Advanced Industries
ID : APP-399364

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Auteurs

Anthony Puga (A)

Department of Mechanical Engineering, Colorado State University, Fort Collins, CO 80523, USA.

Azer Yalin (A)

Department of Mechanical Engineering, Colorado State University, Fort Collins, CO 80523, USA.

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Classifications MeSH