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Abstract
Photoacoustic spectroscopy (PAS) is a highly sensitive technique for trace gas sensing, which requires frequent re-calibration for changing environmental influences and input light power fluctuation. This is a major drawback against its deployment for on-site, long-term remote applications. To address this drawback here we present the theory and application of a Calibration-Free Wavelength Modulation Photoacoustic Spectroscopy (CF-WM-PAS) technique. It is applied for measurements of CH4 gas concentration in the mid-infrared at 8.6 μm wavelength using a Quantum Cascade Laser (QCL). The method normalizes the second harmonic (R2f) component, dominated by laser-gas interaction and optical intensity, by the first harmonic (R1f) component dominated by Residual Amplitude Modulation (RAM) DC offset, to isolate the output from changes in the gas matrix, optical intensity and electrical gain. This normalization technique removes influences from changes in the resonant frequency, gas concentration and incident optical power. It is confirmed using a ±1600 Hz change in modulation frequency around the resonance, a 1% to 10% change in gas concentration and an up to 78.3% attenuation in input light intensity with a custom built miniaturized 3D-printed sensor. A Normalized Noise Equivalent Absorption (NNEA) of 4.85×10 -9 Wcm -1Hz -1/2 for calibration-free R2f/R1f measurements is demonstrated.
Original language | English |
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Pages (from-to) | 10530-10538 |
Number of pages | 9 |
Journal | IEEE Sensors Journal |
Volume | 20 |
Issue number | 18 |
Early online date | 7 Jan 2020 |
DOIs | |
Publication status | Published - 15 Sept 2020 |
Keywords
- photoacoustic spectroscopy
- 3D printing
- quantum cascade lasers
- calibration free
- miniaturized
- gas sensing
Fingerprint
Dive into the research topics of 'A calibration-free methodology for resonantly enhanced photoacoustic spectroscopy using quantum cascade lasers'. Together they form a unique fingerprint.Projects
- 1 Finished
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In-situ Chemical Measurement and Imaging Diagnostics for Energy Process Engineering (Platform Grant)
Johnstone, W., Burns, I., Lengden, M. & Stewart, G.
EPSRC (Engineering and Physical Sciences Research Council)
1/10/16 → 30/09/21
Project: Research
Datasets
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Data for: "A Calibration-Free Methodology for Resonantly Enhanced Photoacoustic Spectroscopy using Quantum Cascade Lasers"
ILKE, M. (Creator), Bauer, R. (Contributor) & Lengden, M. (Creator), University of Strathclyde, 22 Jan 2020
DOI: 10.15129/e4f9103e-256c-42a7-9bc9-44a8227a4f22
Dataset