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Attenuated total internal reflection infrared microspectroscopic imaging using a large-radius germanium internal

Brian M Patterson1, George J Havrilla

  • 1Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA. bpatterson@lanl.gov

Applied Spectroscopy
|November 30, 2006
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Summary

Attenuated total internal reflectance (ATR) Fourier transform infrared (FT-IR) microspectroscopic imaging significantly expands the field of view by 70x. This advancement simplifies the analysis of challenging samples, including pharmaceuticals.

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Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Materials Science

Background:

  • Fourier transform infrared (FT-IR) microspectroscopic imaging techniques and instruments have advanced rapidly.
  • Attenuated total internal reflectance (ATR) FT-IR microspectroscopy offers reduced sample preparation and simplified analysis for difficult samples.

Purpose of the Study:

  • To investigate the expansion of the field of view in ATR-FT-IR microspectroscopic imaging.
  • To evaluate the impact of a larger internal reflection element on imaging parameters and performance.
  • To demonstrate the applicability of the enhanced technique in pharmaceutical analysis.

Main Methods:

  • Utilized a larger internal reflection element (12.5 mm radius) to increase the field of view in ATR-FT-IR microspectroscopic imaging.
  • Evaluated parameters such as penetration depth, active area, magnification, and spatial resolution.
  • Applied the technique to analyze polydimethylsiloxane foam, latent fingerprints, and a model inorganic mixture.

Main Results:

  • The field of view was increased by 70x, from 300 x 300 microm to 2500 x 2500 microm.
  • Analyzed changes in penetration depth, active area, magnification, and spatial resolution across the expanded imaging area.
  • Successfully demonstrated the technique's utility for FT-IR imaging of various samples, including pharmaceutical applications.

Conclusions:

  • Expanding the field of view in ATR-FT-IR microspectroscopic imaging enhances its analytical capabilities.
  • The method is effective for analyzing diverse samples and shows promise for pharmaceutical applications.
  • Considerations such as large file sizes need to be managed for practical implementation.