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Target Analyte Detection and Quantification in Sample Gases With Complex Background Compositions

  • US 20160132617A1
  • Filed: 11/11/2014
  • Published: 05/12/2016
  • Est. Priority Date: 11/11/2014
  • Status: Active Grant
First Claim
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1. A method comprising:

  • modeling absorption spectroscopy measurement data obtained for a gas sample as one or more functions of a background composition of the gas sample, the modeling comprising generating mathematical representations of structural interference and/or collisional broadening effects based on background composition concentration data representative of an actual background composition of the gas sample;

    applying one or more multivariate regression analysis algorithms to correct, based on the modeling, an analysis of the absorption spectroscopy data, the absorption spectroscopy data being obtained by a second analysis approach comprising absorption spectroscopy; and

    determining a target analyte concentration in the gas sample based on the corrected analysis of the absorption spectroscopy data obtained by the second analysis approach.

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