Literature DB >> 8013485

Evaluation of an automated system for identification of anaerobic bacteria.

A Arzese1, R Minisini, G A Botta.   

Abstract

A fully automated computer-assisted system (ATB system, bioMérieux, France) which uses disposable microenzymatic panels was evaluated for its ability to identify 215 strains of anaerobic bacteria (clinical isolates and reference strains). All strains were examined using conventional identification protocols and by gas chromatographic analysis of short-chain fatty acids. Automated reading of Rapid ID32A test kits (bioMérieux, France) by the ATB system gave correct identification for 195 strains (90.7%): 92.25% of gram-negative anaerobes (116 strains) and 89% of gram-positive anaerobes (99 strains) were correctly identified. Twelve strains (5.6%) were incorrectly identified and 8 strains (3.7%) were not identified by the system. For some strains in the Bacteroides fragilis group, for Clostridium difficile and for the Fusobacterium genus, additional tests suggested by the ATB software were necessary to reach a final identification at the species or genus level. On the basis of the high incidence of correct identifications and the comparison of these results with those obtained previously using other commercially available kits, the ATB system was found to be a reliable method for identification of anaerobic bacteria in clinical laboratories.

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Year:  1994        PMID: 8013485     DOI: 10.1007/bf01982186

Source DB:  PubMed          Journal:  Eur J Clin Microbiol Infect Dis        ISSN: 0934-9723            Impact factor:   3.267


  10 in total

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Journal:  J Clin Microbiol       Date:  1989-11       Impact factor: 5.948

  10 in total
  3 in total

Review 1.  A primer on anaerobic bacteria and anaerobic infections for the uninitiated.

Authors:  I Olsen; C O Solberg; S M Finegold
Journal:  Infection       Date:  1999 May-Jun       Impact factor: 3.553

2.  PCR assay for species-specific identification of Bacteroides thetaiotaomicron.

Authors:  L J Teng; P R Hsueh; J C Tsai; F L Chiang; C Y Chen; S W Ho; K T Luh
Journal:  J Clin Microbiol       Date:  2000-04       Impact factor: 5.948

3.  Identification of Bacteroides thetaiotaomicron on the basis of an unexpected specific amplicon of universal 16S ribosomal DNA PCR.

Authors:  Lee-Jene Teng; Po-Ren Hsueh; Yu-Hsuan Huang; Jui-Chang Tsai
Journal:  J Clin Microbiol       Date:  2004-04       Impact factor: 5.948

  3 in total

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