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Related Experiment Videos

Evaluation of a small "conventional" identification system for fermentative gramnegative rods using a computerized

H H Siegrist1, M Altwegg, A Wenger

  • 1Institut de microbiologie, CHUV, Lausanne, Switzerland.

Zentralblatt Fur Bakteriologie, Mikrobiologie, Und Hygiene. Series A, Medical Microbiology, Infectious Diseases, Virology, Parasitology
|October 1, 1987
PubMed
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A cost-effective identification system accurately identified most fermentative gram-negative bacteria, including Enterobacteriaceae, Aeromonas, and Plesiomonas. This inexpensive method offers reliable primary identification in clinical microbiology labs.

Area of Science:

  • Clinical Microbiology
  • Bacteriology
  • Diagnostic Systems

Background:

  • Accurate identification of bacterial pathogens is crucial in clinical microbiology.
  • Conventional identification systems offer a cost-effective alternative to commercial platforms.
  • Fermentative gram-negative bacteria pose a significant diagnostic challenge.

Purpose of the Study:

  • To evaluate the efficacy of a novel, inexpensive conventional identification system.
  • To determine the accuracy and reliability of the system for identifying key bacterial groups.

Main Methods:

  • A conventional identification system with six tubed media and eleven reactions was employed.
  • The system was used to identify 467 strains of Enterobacteriaceae, 15 Aeromonas sp., and 3 Plesiomonas shigelloides.

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  • Results were analyzed for accuracy, genus-level identification, and misidentification rates.
  • Main Results:

    • The system correctly identified 76.5% of strains to the species or genus level.
    • An additional 2.7% were identified to the genus level.
    • Only 2.3% of strains were misidentified, with 18.6% remaining unidentified.

    Conclusions:

    • The evaluated conventional system demonstrates high accuracy for primary identification of fermentative gram-negative bacteria.
    • Its cost-effectiveness and reliability make it suitable for clinical microbiology laboratories.
    • The system, supported by a computerized database, provides a viable alternative to commercial identification methods.