Spectral matching quantitative open-path fourier-transform infrared spectroscopy

Ingling, Linda; Isenhour, T. L.

doi:10.1002/(sici)1520-6521(1999)3:1<37::aid-fact5>3.0.co;2-w

Cited by 7 publications

(2 citation statements)

References 9 publications

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“…Field blackbody interferograms used in the calculation of responsivity values were collected with a 12 in. 3 Single-beam background spectra were selected that were collected in the ® eld as close in time as possible to the analyte spectral data and were used to calculate difference spectra by subtracting them from the analyte spectra. If the acetone C±CO±C stretching band at 1216 cm 2 1 was seen clearly above the baseline noise level, the corresponding interferogram was added to the acetoneactive categor y.…”

Section: Exp Erim Entalmentioning

confidence: 99%

Calibration Transfer in the Automated Detection of Acetone by Passive Fourier Transform Infrared Spectrometry

et al. 2000

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The qualitative determination of acetone is performed by passive Fourier transform infrared (FT-IR) spectrometry with data spanning two spectrometers. Digital filtering and piecewise linear discriminant analysis techniques are optimized and applied directly to short interferogram segments to eliminate background and instrument variation and then perform pattern recognition. Once optimized, this methodology classifies remote sensing data into categories representing the presence or absence of the analyte in an automated fashion. The addition to the training set of small numbers of interferogram data from a second spectrometer is evaluated in the creation of qualitative models robust with respect to differences between the instruments. Results of these experiments show that classification percentages averaged across all tested interferogram segments are improved from 76.2 ± 6.4% to 95.1 ± 2.2% with the addition of as few as 10 background interferograms collected in the field with the secondary instrument. The results also demonstrate that a broader, more optimal range of segments in the interferogram can be utilized when these background data are added from the secondary instrument. It is also found possible to standardize the data from the secondary instrument with blackbody background interferograms collected in the laboratory.

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Section: Exp Erim Entalmentioning

confidence: 99%

Calibration Transfer in the Automated Detection of Acetone by Passive Fourier Transform Infrared Spectrometry

et al. 2000

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“…Fourier transform infrared (FT-IR) spectrometry is being investigated as a potential analytical solution in the remote m onitoring scenarios described above. [1][2][3][4][5] These FT-IR m easurements have been implemented in both active and passive modes. In the active mode, a controlled, high-temperature infrared source is used to probe the atmosphere between either the source and spectrometer or between an external retrore ector and the source/spectrometer package.…”

Section: Introductionmentioning

confidence: 99%

Multiple Filtering Strategy for the Automated Detection of Ethanol by Passive Fourier Transform Infrared Spectrometry

et al. 2001

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Digital filtering methods are evaluated for use in the automated detection of ethanol from passive Fourier transform infrared (FT-IR) data collected during laboratory and open-air remote sensing experiments. In applications in which analyte signals are overwhelmed by the overlapping signals of an interference, the use of multiple digital filters is observed to improve the sensitivity of the analyte detection. The detection strategy is based on the application of bandpass digital filters to short segments of the interferogram data collected by the FT-IR spectrometer. To implement the automated detection of a target analyte, the filtered interferogram segments are supplied as input to piecewise linear discriminant analysis. Through the use of a set of training data, discriminants are computed that can subsequently be applied to detect the presence of the analyte in an automated manner. This research focuses on the detection of ethanol vapor in the presence of an ammonia interference. A two-filter detection strategy based on the use of separate ethanol and ammonia filters is compared to an approach based on a single ethanol filter. Bandpass parameters of the digital filters and the interferogram segment location are optimized through the use of laboratory data in which ethanol and ammonia vapors are generated in a gas cell and viewed against various infrared background radiances. The filter and segment parameters obtained through this optimization are subsequently tested with field remote sensing data collected when the spectrometer is allowed to view ethanol and ammonia plumes generated from a heated stack. The two-filter strategy is found to outperform the single-filter approach with both the laboratory and field data in situations in which the ammonia interference dominates the ethanol signature.

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A slope-ratio method for quantitative open-path FTIR

Ingling

Isenhour

2000

Field Analyt. Chem. Technol.

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Spectral matching quantitative open-path fourier-transform infrared spectroscopy

Cited by 7 publications

References 9 publications

Calibration Transfer in the Automated Detection of Acetone by Passive Fourier Transform Infrared Spectrometry

Calibration Transfer in the Automated Detection of Acetone by Passive Fourier Transform Infrared Spectrometry

Multiple Filtering Strategy for the Automated Detection of Ethanol by Passive Fourier Transform Infrared Spectrometry

A slope-ratio method for quantitative open-path FTIR

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