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PMID: 7989541 Published · ppublish English Comparative Study Journal Article

Gas-liquid chromatography of cellular fatty acids for identification of staphylococci.

Journal of clinical microbiology ·Vol. 32 ·No. 8 ·1994-08-00 ·Pages 1908-10

Stoakes L, John MA, Lannigan R, Schieven BC, Ramos M, Harley D, Hussain Z

Abstract

A commercially available, computer-assisted microbial identification system (MIS) employs gas-liquid chromatographic analyses of bacterial fatty acids. The MIS was used to identify 470 isolates of Staphylococcus species. The accuracy of the MIS was compared with the accuracies of conventional methods. There was a complete agreement between the MIS and conventional methods in the identification of 413 (87.8%) strains. For 36 of 45 misidentified strains, the correct identification was listed by the MIS as a choice but not as the first choice. Twelve strains could not be matched. All strains of Staphylococcus cohnii, S. epidermidis, S. intermedius, S. lugdunensis, S. schleiferi, S. sciuri, S. simulans, and S. xylosus were correctly identified. Two species, S. hominis and S. saprophyticus, accounted for 52.6% (30 of 57) of the misidentifications. Seventy-eight organisms were retested. Identification of 73 organisms remained unchanged, and for five organisms, the second choice became first and vice versa. The overall performance of the MIS is acceptable, and the system can be used as an alternate identification method for staphylococci.

MeSH Terms
Chromatography, Gas/methods Fatty Acids/isolation & purification Microbiology/instrumentation Reproducibility of Results Staphylococcus/classification
Chemicals
Fatty Acids
Authors & Affiliations
7 authors, click to expand affiliations / ORCID
Stoakes L
Department of Clinical Microbiology, Victoria Hospital, London, Ontario, Canada.
John M A
Lannigan R
Schieven B C
Ramos M
Harley D
Hussain Z
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Article Info
Journal
Journal of clinical microbiology
Abbr.
J Clin Microbiol
ISSN
0095-1137
Published
1994-08-00
Pages
1908-10
Language
English
Region
United States
NLM ID
7505564
PMCID
PMC263901
Subset
IM
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