Literature DB >> 8308109

Evaluation of Biolog for identification of members of the family Micrococcaceae.

J M Miller1, J W Biddle, V K Quenzer, J C McLaughlin.   

Abstract

The Biolog Identification System (Biolog, Inc., Hayward, Calif.) was challenged at two separate laboratories with 113 coded isolates, including 33 type strains of staphylococci, 5 strains of Micrococcus spp., and 1 strain of Stomatococcus mucilaginosus. Test parameters between the sites were controlled as much as possible. Discrepancies were arbitrated by using conventional biochemicals. Overall accuracies (correct to the species level) upon initial testing were 47.7 and 59.3%, respectively, at the two laboratories. After repeat testing of isolates generating "no identification" responses or errors, the overall accuracies increased to 69.0 and 74.3% at the two sites, respectively, revealing no significant difference in the final results at the two laboratories (78 of 113 versus 84 of 113; P > 0.05). Error rates were 7.1% at one site and 9.7% at the other. The Biolog is not yet accurate enough to serve as a primary method for identifying staphylococci.

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Year:  1993        PMID: 8308109      PMCID: PMC266370          DOI: 10.1128/jcm.31.12.3170-3173.1993

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


  12 in total

Review 1.  Automated systems for identification of microorganisms.

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

2.  Evaluating biochemical identification systems.

Authors:  J M Miller
Journal:  J Clin Microbiol       Date:  1991-08       Impact factor: 5.948

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.  Evaluation of rapid identification of gram-positive cocci in positive blood cultures by use of the AutoMicrobic system Gram-Positive Identification Card.

Authors:  A C Hamoudi; M J Marcon; H J Cannon
Journal:  J Clin Microbiol       Date:  1984-08       Impact factor: 5.948

5.  Risk factors for postoperative infection.

Authors:  R A Garibaldi; D Cushing; T Lerer
Journal:  Am J Med       Date:  1991-09-16       Impact factor: 4.965

6.  Secular trends in nosocomial primary bloodstream infections in the United States, 1980-1989. National Nosocomial Infections Surveillance System.

Authors:  S N Banerjee; T G Emori; D H Culver; R P Gaynes; W R Jarvis; T Horan; J R Edwards; J Tolson; T Henderson; W J Martone
Journal:  Am J Med       Date:  1991-09-16       Impact factor: 4.965

7.  Numerical approach to reference identification of Staphylococcus, Stomatococcus, and Micrococcus spp.

Authors:  D L Rhoden; G A Hancock; J M Miller
Journal:  J Clin Microbiol       Date:  1993-03       Impact factor: 5.948

8.  Identification of Staphylococcus species and subspecies with the MicroScan Pos ID and Rapid Pos ID panel systems.

Authors:  W E Kloos; C G George
Journal:  J Clin Microbiol       Date:  1991-04       Impact factor: 5.948

9.  Characterization of Staphylococcus hyicus with the ATB 32 Staph system and with conventional tests.

Authors:  C Lämmler
Journal:  J Clin Microbiol       Date:  1991-06       Impact factor: 5.948

10.  Evaluation of the Vitek Systems Gram-Positive Identification card for species identification of coagulase-negative staphylococci.

Authors:  T L Bannerman; K T Kleeman; W E Kloos
Journal:  J Clin Microbiol       Date:  1993-05       Impact factor: 5.948

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  7 in total

1.  An inexpensive and reliable method for routine identification of staphylococcal species.

Authors:  T Monsen; M Rönnmark; C Olofsson; J Wiström
Journal:  Eur J Clin Microbiol Infect Dis       Date:  1998-05       Impact factor: 3.267

Review 2.  Use of enzyme tests in characterization and identification of aerobic and facultatively anaerobic gram-positive cocci.

Authors:  S Bascomb; M Manafi
Journal:  Clin Microbiol Rev       Date:  1998-04       Impact factor: 26.132

3.  Glyceraldehyde-3-phosphate dehydrogenase-encoding gene as a useful taxonomic tool for Staphylococcus spp.

Authors:  J Yugueros; A Temprano; B Berzal; M Sánchez; C Hernanz; J M Luengo; G Naharro
Journal:  J Clin Microbiol       Date:  2000-12       Impact factor: 5.948

4.  Identification of Staphylococcus spp. by PCR-restriction fragment length polymorphism of gap gene.

Authors:  J Yugueros; A Temprano; M Sánchez; J M Luengo; G Naharro
Journal:  J Clin Microbiol       Date:  2001-10       Impact factor: 5.948

5.  Loss of catabolic function in Streptococcus agalactiae strains and its association with neonatal meningitis.

Authors:  Anne-Sophie Domelier; Nathalie van der Mee-Marquet; Adeline Grandet; Laurent Mereghetti; Agnès Rosenau; Roland Quentin
Journal:  J Clin Microbiol       Date:  2006-09       Impact factor: 5.948

6.  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
Journal:  J Clin Microbiol       Date:  1999-04       Impact factor: 5.948

7.  High-throughput molecular identification of Staphylococcus spp. isolated from a clean room facility in an environmental monitoring program.

Authors:  Norhan S Sheraba; Aymen S Yassin; Magdy A Amin
Journal:  BMC Res Notes       Date:  2010-11-04
  7 in total

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