1998
DOI: 10.1007/s003400050529
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Photoacoustic multicomponent gas analysis using a Levenberg-Marquardt fitting algorithm

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Cited by 38 publications
(18 citation statements)
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“…These figures show that the amplitude of the PA signal increases with the buffer radius and that the highest absolute sensitivity is obtained for the largest radius (60 mm) except for the 0.97-1.07 m −1 absorption coefficient range. At low absorption levels (below 0.05 m −1 ) and without kinetic cooling effect [24,[38][39][40], the PA signal is proportional to the absorption of the compound present in the cell [1]. At higher absorption levels, the PA signal is no longer proportional to the absorption coefficient but shows a maximum (Fig.…”
Section: Resultsmentioning
confidence: 94%
“…These figures show that the amplitude of the PA signal increases with the buffer radius and that the highest absolute sensitivity is obtained for the largest radius (60 mm) except for the 0.97-1.07 m −1 absorption coefficient range. At low absorption levels (below 0.05 m −1 ) and without kinetic cooling effect [24,[38][39][40], the PA signal is proportional to the absorption of the compound present in the cell [1]. At higher absorption levels, the PA signal is no longer proportional to the absorption coefficient but shows a maximum (Fig.…”
Section: Resultsmentioning
confidence: 94%
“…The amplitude of the L-PAS signal increases with the water content and levels off at Ͼ0.5% absolute humidity level, with signal approximately three times that in dry air. The phase of NO 2 signal also changes from dry air to 1% absolute humidity, a clear indication of relaxation effects (9). Therefore, a QCL-PAS-based ambient NO 2 sensor will require a simultaneous humidity measurement, most conveniently ac- complished by measuring a nearby strong water absorption line in the same spectral trace (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Instead, considerable effort is needed to discriminate the various components, as well as to identify any unexpected component. Iterative algorithms using least squares regression and based on prior knowledge of the absorption cross sections (σ ij ) have been developed to fit the photoacoustic spectrum of multicomponent samples (Moeckli, 1998).…”
Section: Photoacoustic Effect In Gasesmentioning
confidence: 99%