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Related Experiment Videos

Removing aperture-induced artifacts from Fourier transform infrared intensity values.

Timothy J Johnson1, Robert L Sams, Thomas A Blake

  • 1Pacific Northwest National Laboratory, Richland, Washington 99352, USA.

Applied Optics
|May 25, 2002
PubMed
Summary
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Two Fourier transform infrared (FTIR) artifacts impacting spectral resolution were identified and corrected. These corrections significantly improve the accuracy of integrated-band intensities, reducing errors by up to 12%.

Area of Science:

  • Spectroscopy
  • Analytical Chemistry
  • Physical Chemistry

Background:

  • Fourier transform infrared (FTIR) spectroscopy is susceptible to artifacts at high spectral resolution.
  • Two specific artifacts, a 2f alias and aperture-induced line shape distortion, affect spectral data.
  • Previous studies have alluded to these issues, but comprehensive correction methods were lacking.

Purpose of the Study:

  • To identify and characterize two significant artifacts in FTIR spectroscopy.
  • To develop and demonstrate effective correction methods for these anomalies.
  • To quantify the impact of these artifacts on integrated-band intensities.

Main Methods:

  • Utilized Fourier transform infrared spectroscopy at a spectral resolution of 0.1 cm(-1).

Related Experiment Videos

  • Investigated light reflection off the aperture causing a 2f alias.
  • Analyzed the effect of a warm aperture annulus on cooled detectors.
  • Implemented novel correction procedures for both identified artifacts.

    • Main Results:

    • Observed and quantified the 2f alias artifact from double modulation.
    • Identified distorted line shapes and anomalous intensities in the fingerprint region due to aperture effects.
    • Demonstrated the efficacy of the developed correction methods.
    • Found pre-correction integrated-band intensities to be in error by up to 12%.

    Conclusions:

    • The developed corrections effectively remove 2f alias and aperture-induced artifacts in FTIR spectra.
    • Accurate spectral data is crucial for reliable quantitative analysis in FTIR.
    • These corrections enhance the precision of integrated-band intensity measurements in FTIR spectroscopy.