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Related Experiment Videos

Mycobacterial identification by computer-aided gas-liquid chromatography

I Smid1, M Salfinger

  • 1Swiss National Center for Mycobacteria, Zürich.

Diagnostic Microbiology and Infectious Disease
|June 1, 1994
PubMed
Summary

The Microbial Identification System (MIS) can identify mycobacteria using fatty acid analysis. Optimized criteria correctly identified 63% of isolates, reducing false positives but increasing undecided cases.

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Area of Science:

  • Microbiology
  • Clinical Diagnostics
  • Analytical Chemistry

Background:

  • Mycobacteria pose diagnostic challenges in clinical settings.
  • Accurate identification of mycobacteria is crucial for effective treatment.
  • Existing identification methods may require optimization for routine use.

Purpose of the Study:

  • To evaluate the suitability of the Microbial Identification System (MIS) for routine clinical diagnosis of mycobacteria.
  • To determine optimal identification criteria for the MIS system.
  • To assess the accuracy and limitations of MIS for mycobacterial identification.

Main Methods:

  • Cellular fatty acids were extracted from 1077 clinical isolates of mycobacteria.
  • Fatty acid profiles were analyzed using gas-liquid chromatography coupled with MIS software.

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  • Identification was based on comparing fatty acid composition to a standard mycobacterial library.
  • Criteria for identification (Similarity Index thresholds) were established and tested.

    • Main Results:

    • The MIS system identified isolates by comparing fatty acid profiles to a library.
    • Optimized criteria (SI1 ≥ 0.4 and SI1-SI2 ≥ 0.1) were determined.
    • Under these criteria, 63% of isolates were correctly identified.
    • 6% of isolates were incorrectly identified, and some remained undecided, requiring further analysis.

    Conclusions:

    • The MIS system shows potential for routine mycobacterial identification.
    • Careful selection of identification criteria is essential to balance accuracy and undecided results.
    • Further refinement of criteria may improve the system's diagnostic utility for clinically important mycobacteria.