Fourier transform infrared photoacoustic multicomponent gas spectroscopy with optical cantilever detection

Christian Hirschmann (Corresponding Author), J. Uotila, Satu Ojala, Jussi Tenhunen, R. L. Keiski

    Research output: Contribution to journalArticleScientificpeer-review

    25 Citations (Scopus)


    The sensitivity of photoacoustic spectroscopy was improved with the invention of optical cantilever detection (PAS-OCD). However, the ability of present PAS-OCD devices to carry out multicomponent detection is poor. To overcome this, a Fourier transform infrared photoacoustic spectrometer with optical cantilever detection (FT-IR-PAS-OCD) prototype was assembled. In this article, the first evaluation and performance tests of the prototype are described. Selectivity, sensitivity, and the linearity of the signal response are evaluated. The linear response was studied for methane and carbon dioxide and confirmed in the whole analyzed concentration range from 500 to 3500 ppm and from 2500 to 17500 ppm, respectively. The calculated signal-to-noise ratio (SNR) and limit of detection were 2027 and 0.5 ppm for methane and 1362 and 4 ppm for carbon dioxide, with a measurement time of 100 seconds. Selectivity was studied with a multicomponent gas mixture of propene, methane, carbon dioxide, and methylmercaptane. The results indicate that a quantitative analysis of all components in the mixture is possible using the FT-IR-PAS-OCD.
    Original languageEnglish
    Pages (from-to)293-297
    Number of pages5
    JournalApplied Spectroscopy
    Issue number3
    Publication statusPublished - 2010
    MoE publication typeA1 Journal article-refereed


    • Photoacoustic spectroscopy
    • PAS
    • Fourier transform infrared spectroscopy
    • FT-IR spectroscopy
    • Cantilever microphone
    • Optical cantilever detection
    • OCD
    • Multicomponent gas mixture
    • Linearity


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