Photoacoustic Detection of Methane in Large Concentrations with a Helmholtz Sensor: Simulation and Experimentation

Zéninari, V.; Vallon, R.; Risser, Christophe; Parvitte, B.

doi:10.1007/s10765-015-2018-9

Cited by 18 publications

(10 citation statements)

References 17 publications

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“…Hydrogel Sulfide (H 2 S) QCL [136] CO 2 Laser [130] LD [137][138][139] Water (H 2 O) QCL [125,140] LD [133,134,141] LED [142] Acetylene (C 2 H 2 ) CO 2 Laser [143] LD [87,144,145] Methane (CH 4 ) QCL [146][147][148] LD [87,133,146,149] OPO [150] Ozone (O 3 ) QCL [151] quadrupled Nd:YAG [152] Hydrogen Chloride (HCl) LD [149,153] Ethylene (C 2 H 4 ) CO 2 Laser [98] 3.2.3. Quartz-Enhanced and Cantilever Photoacoustic Absorption Spectroscopy Low-cost reliable MEMS devices often allow for advances in miniaturization and improvement of performances in originally unforeseen applications.…”

Section: Target Gas (Es) Light Source Referencementioning

confidence: 99%

Photoacoustic-Based Gas Sensing: A Review

Palzer

2020

Sensors

108

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The use of the photoacoustic effect to gauge the concentration of gases is an attractive alternative in the realm of optical detection methods. Even though the effect has been applied for gas sensing for almost a century, its potential for ultra-sensitive and miniaturized devices is still not fully explored. This review article revisits two fundamentally different setups commonly used to build photoacoustic-based gas sensors and presents some distinguished results in terms of sensitivity, ultra-low detection limits, and miniaturization. The review contrasts the two setups in terms of the respective possibilities to tune the selectivity, sensitivity, and potential for miniaturization.

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Section: Target Gas (Es) Light Source Referencementioning

confidence: 99%

Photoacoustic-Based Gas Sensing: A Review

Palzer

2020

Sensors

108

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“…15 The most frequently used types of resonant LPAS detectors are based on Helmholtz resonators, one-dimensional cylindrical resonators, and cavity resonators. 15,20 The Groupe de Spectrométrie Moléculaire et Atmosphérique (Reims, France) and the Institute of Atmospheric Optics (Tomsk, Russia) have developed a photoacoustic sensor based on a double differential Helmholtz resonator (DHR) for infrared gas detection. [20][21][22] The double DHR uses two identical DHR configurations, which can significantly eliminate the in-phase external acoustic noise at atmospheric pressure and flow mode.…”

Section: Technical Backgroundmentioning

confidence: 99%

“…15,20 The Groupe de Spectrométrie Moléculaire et Atmosphérique (Reims, France) and the Institute of Atmospheric Optics (Tomsk, Russia) have developed a photoacoustic sensor based on a double differential Helmholtz resonator (DHR) for infrared gas detection. [20][21][22] The double DHR uses two identical DHR configurations, which can significantly eliminate the in-phase external acoustic noise at atmospheric pressure and flow mode. 18 Nonlinear effects in OPO is one of the most widespread ways to generate tunable coherent radiation in the wide spectral range.…”

Section: Technical Backgroundmentioning

confidence: 99%

Exhaled air analysis using wideband wave number tuning range infrared laser photoacoustic spectroscopy

et al. 2017

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The infrared laser photoacoustic spectroscopy (LPAS) and the pattern-recognition-based approach for noninvasive express diagnostics of pulmonary diseases on the basis of absorption spectra analysis of the patient’s exhaled air are presented. The study involved lung cancer patients ( N = 9 ), patients with chronic obstructive pulmonary disease ( N = 12 ), and a control group of healthy, nonsmoking volunteers ( N = 11 ). The analysis of the measured absorption spectra was based at first on reduction of the dimension of the feature space using principal component analysis; thereafter, the dichotomous classification was carried out using the support vector machine. The gas chromatography–mass spectrometry method (GC–MS) was used as the reference. The estimated mean value of the sensitivity of exhaled air sample analysis by the LPAS in dichotomous classification was not less than 90% and specificity was not less than 69%; the analogous results of analysis by GC–MS were 68% and 60%, respectively. Also, the approach to differential diagnostics based on the set of SVM classifiers usage is presented.

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“…Our team used the same method to demonstrate for the first time the quantitative modelling of photoacoustic signals including resonance frequency and signal levels quantification [7]. More recently, we also demonstrated the complete optimization and characterization of the sensor for the detection of methane [8] and the possibility to detect methane in large concentrations from 370 ppb up to at least 8% in volume i.e., more than five orders of magnitude with the same Helmholtz sensor [9]. In these papers the experimental results were in very good agreement with the FEM resolution of pressure acoustics equation.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Finite Element Modelling of Compact Photoacoustic Gas Sensors

2020

Journal of Materials Sciences and Applications

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We report on the demonstration of quantitative simulation of compact photoacoustic cells signals. The finite element method is used to calculate the response of differential Helmholtz resonator cells of two different sizes. Simulated quality factors and resonance frequencies are compared with experimental ones. Taking account of the gas sample absorption coefficient and the laser intensity, cell constants are also evaluated and compared to experimental values showing a very good agreement. For compact sensors, where sub-millimeter features are present, the resolution of the pressure acoustics equation is not sufficient to reproduce experimental results and a viscothermal model must be used.

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Photoacoustic Detection of Methane in Large Concentrations with a Helmholtz Sensor: Simulation and Experimentation

Cited by 18 publications

References 17 publications

Photoacoustic-Based Gas Sensing: A Review

Photoacoustic-Based Gas Sensing: A Review

Exhaled air analysis using wideband wave number tuning range infrared laser photoacoustic spectroscopy

Quantitative Finite Element Modelling of Compact Photoacoustic Gas Sensors

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