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. 2023 May 23;23(11):4989.
doi: 10.3390/s23114989.

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

Anthony Puga  1 , Azer Yalin  1
Affiliations

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

Anthony Puga et al. Sensors (Basel). .

Abstract

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.

Keywords: cavity-enhanced spectroscopy; deep ultraviolet; ozone; ultraviolet spectroscopy.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Experimental setup for ozone sensor with laser-driven light source (LDLS) and broadband cavity-enhanced cavity absorption spectroscopy.
Figure 2
Figure 2
Ozone absorption cross-section in spectral region of interest from [35].
Figure 3
Figure 3
Spectral profiles of cavity mirror reflectivity (a) and cavity output light (b).
Figure 4
Figure 4
Study of measured O3 concentration versus reference concentration to examine sensor accuracy.
Figure 5
Figure 5
Allan deviation analysis of ozone concentration recorded with DUV-CEAS instrument.
Figure 6
Figure 6
Sensor response to a sudden change in supplied ozone concentration [35].
Figure 7
Figure 7
(a) Measurements of ozone from DUV-CEAS instrument and reference sensor along with two CDPHE monitors on 26 September 2022. (b) Scatter plot of DUV-CEAS sensor versus reference sensor.
See this image and copyright information in PMC

References

    1. Lu X., Zhang L., Shen L. Meteorology and Climate Influences on Tropospheric Ozone: A Review of Natural Sources, Chemistry, and Transport Patterns. Curr. Pollut. Rep. 2019;5:238–260. doi: 10.1007/s40726-019-00118-3. - DOI
    1. Nuvolone D., Petri D., Voller F. The effects of ozone on human health. Environ. Sci. Pollut. Res. 2018;25:8074–8088. doi: 10.1007/s11356-017-9239-3. - DOI - PubMed
    1. Emberson L. Effects of ozone on agriculture, forests and grasslands. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 2020;378:20190327. doi: 10.1098/rsta.2019.0327. - DOI - PMC - PubMed
    1. Colorado Department of Public Health and Environment, State of Colorado Technical Support Document for Recommended 8-Hour Ozone Designations, Air Pollution Control Division, Adopted 15 September 2016, Denver, Colorado. [(accessed on 18 April 2023)]; Available online: https://www.epa.gov/sites/default/files/2016-11/documents/co-rec-tsd.pdf.
    1. Thompson T.M., Shepherd D., Stacy A., Barna M.G., Schichtel B.A. Modeling to Evaluate Contribution of Oil and Gas Emissions to Air Pollution. J. Air Waste Manag. Assoc. 2017;67:445–461. doi: 10.1080/10962247.2016.1251508. - DOI - PubMed

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