Literature DB >> 7989551

Evaluation of Biolog system for identification of some gram-negative bacteria of clinical importance.

B Holmes1, M Costas, M Ganner, S L On, M Stevens.   

Abstract

The Biolog system (Biolog, Inc., Hayward, Calif.) was evaluated for the identification of 55 gram-negative taxa (789 strains) likely to be encountered commonly in clinical laboratories. The Biolog system performed best with oxidase-positive fermenters and biochemically active nonfermenters and had the most problems with unreactive nonfermenters. It gave significantly better results when the MicroPlates were read manually rather than when they were read by the automated reader. Plates read manually gave the following performances: oxidase-positive fermenters, five taxa, 64 strains, 92% correct, 3% not identified, and 5% incorrect; biochemically active nonfermenters, eight taxa, 122 strains, 88% correct, 6% not identified, and 6% incorrect; members of the family Enterobacteriaceae, 35 taxa, 511 strains, 77% correct, 8% not identified, and 15% incorrect; unreactive nonfermenters, seven taxa, 92 strains, 38% correct, 24% not identified, and 38% incorrect. We found the system easy to use, but while for 39 of 55 of the taxa an identification rate of > 70% was achieved, problems were encountered, particularly with identification of capsulated strains of some Enterobacter and Klebsiella taxa, as well as the least biochemically active Moraxella and Neisseria strains.

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Year:  1994        PMID: 7989551      PMCID: PMC263912          DOI: 10.1128/jcm.32.8.1970-1975.1994

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  6 in total

1.  Evaluation of the Biolog automated microbial identification system.

Authors:  J M Klingler; R P Stowe; D C Obenhuber; T O Groves; S K Mishra; D L Pierson
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Review 2.  Automated systems for identification of microorganisms.

Authors:  C E Stager; J R Davis
Journal:  Clin Microbiol Rev       Date:  1992-07       Impact factor: 26.132

3.  Preliminary evaluation of Biolog, a carbon source utilization method for bacterial identification.

Authors:  J M Miller; D L Rhoden
Journal:  J Clin Microbiol       Date:  1991-06       Impact factor: 5.948

4.  A revised probability matrix for the identification of gram-negative, aerobic, rod-shaped, fermentative bacteria.

Authors:  B Holmes; C A Dawson; C A Pinning
Journal:  J Gen Microbiol       Date:  1986-11

5.  A probability matrix for the identification of gram-negative, aerobic, non-fermentative bacteria that grow on nutrient agar.

Authors:  B Holmes; C A Pinning; C A Dawson
Journal:  J Gen Microbiol       Date:  1986-07

6.  Species identification of Aeromonas strains based on carbon substrate oxidation profiles.

Authors:  A M Carnahan; S W Joseph; J M Janda
Journal:  J Clin Microbiol       Date:  1989-09       Impact factor: 5.948

  6 in total
  8 in total

1.  Comparison of phenotypic and genotypic techniques for identification of unusual aerobic pathogenic gram-negative bacilli.

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Authors:  M Wiedmann; D Weilmeier; S S Dineen; R Ralyea; K J Boor
Journal:  Appl Environ Microbiol       Date:  2000-05       Impact factor: 4.792

4.  Evaluation of accuracy and repeatability of identification of food-borne pathogens by automated bacterial identification systems.

Authors:  J A Odumeru; M Steele; L Fruhner; C Larkin; J Jiang; E Mann; W B McNab
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5.  Phenotypic and genotypic characterization of phenanthrene-degrading fluorescent Pseudomonas biovars.

Authors:  K Johnsen; S Andersen; C S Jacobsen
Journal:  Appl Environ Microbiol       Date:  1996-10       Impact factor: 4.792

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Review 7.  Modern clinical microbiology: new challenges and solutions.

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Journal:  Nat Rev Microbiol       Date:  2013-08       Impact factor: 60.633

8.  Comparative Genome Analysis of the Lignocellulose Degrading Bacteria Citrobacter freundii so4 and Sphingobacterium multivorum w15.

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  8 in total

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