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Related Experiment Videos

"IR-Spectroscopy" - computer-program for the interpretation of infrared spectra.

F Ehrentreich1, U Dietze, U Meyer

  • 1Institut für Analytische Chemie, TU Bergakademie Freiberg, Leipziger Strasse 29, D-09596, Freiberg, Germany.

Analytical and Bioanalytical Chemistry
|March 1, 1996
PubMed
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This study introduces "IR-Spectroscopy," a computer program designed to interpret infrared spectra of organic compounds. It automates spectral analysis using a rule-base and advanced programming languages.

Area of Science:

  • Chemistry
  • Computer Science
  • Spectroscopy

Background:

  • Infrared (IR) spectroscopy is a crucial technique for identifying organic compounds.
  • Manual interpretation of IR spectra can be time-consuming and prone to error.
  • Automating spectral interpretation can enhance efficiency and accuracy in chemical analysis.

Purpose of the Study:

  • To describe a novel computer program, "IR-Spectroscopy," for the automated interpretation of infrared spectra.
  • To detail the program's components for preprocessing and executing computer-based spectral interpretation.
  • To present a system that aids in the identification of organic compounds using IR spectroscopy.

Main Methods:

  • Development of the "IR-Spectroscopy" computer program.
  • Implementation of a rule-base management system (CorTab).

Related Experiment Videos

  • Integration of automatic rule generation routines.
  • Utilization of PROLOG and C programming languages for interpretation modules.

    • Main Results:

    • The "IR-Spectroscopy" program effectively handles infrared spectral data.
    • The system incorporates automatic rule generation for enhanced interpretation.
    • Interpretation modules developed in PROLOG and C are integrated within the program.

    Conclusions:

    • The "IR-Spectroscopy" program offers a robust solution for automated IR spectral interpretation.
    • The use of PROLOG and C facilitates efficient and flexible spectral analysis.
    • This computational approach can significantly aid researchers in organic compound identification.