Literature DB >> 7805360

Mycobacterial identification by computer-aided gas-liquid chromatography.

I Smid1, M Salfinger.   

Abstract

The suitability of the Microbial Identification System (MIS) marketed by Microbial ID (Newark, DE, USA) for routine diagnosis of clinically important mycobacteria was investigated and assessed. Cellular fatty acids were extracted from 1077 stock and recent clinical isolates. They were analyzed using a gas-liquid chromatograph combined with MIS software. The MIS system finally identifies the isolates by comparing their fatty-acid compositions with a standard library for mycobacteria. As the library search usually results in more than one possible match, suitable identification criteria were determined. The stricter these criteria are, the more the percentage of false-positive identifications can be reduced, but at the cost of more cases that remain undecided and require additional analysis. Under conditions similarity index (SI) SI1 > or = 0.4 and SI1-SI2 > or = 0.1, 63% of all isolates were correctly and 6% incorrectly identified.

Entities:  

Mesh:

Year:  1994        PMID: 7805360     DOI: 10.1016/0732-8893(94)90117-1

Source DB:  PubMed          Journal:  Diagn Microbiol Infect Dis        ISSN: 0732-8893            Impact factor:   2.803


  14 in total

1.  Recognition of a Nocardia transvalensis complex by resistance to aminoglycosides, including amikacin, and PCR-restriction fragment length polymorphism analysis.

Authors:  R W Wilson; V A Steingrube; B A Brown; Z Blacklock; K C Jost; A McNabb; W D Colby; J R Biehle; J L Gibson; R J Wallace
Journal:  J Clin Microbiol       Date:  1997-09       Impact factor: 5.948

Review 2.  Epidemiology of infection by nontuberculous mycobacteria.

Authors:  J O Falkinham
Journal:  Clin Microbiol Rev       Date:  1996-04       Impact factor: 26.132

3.  Separation among species of Mycobacterium terrae complex by lipid analyses: comparison with biochemical tests and 16S rRNA sequencing.

Authors:  P Torkko; M Suutari; S Suomalainen; L Paulin; L Larsson; M L Katila
Journal:  J Clin Microbiol       Date:  1998-02       Impact factor: 5.948

4.  Application of the Sherlock Mycobacteria Identification System using high-performance liquid chromatography in a clinical laboratory.

Authors:  J A Kellogg; D A Bankert; G S Withers; W Sweimler; T E Kiehn; G E Pfyffer
Journal:  J Clin Microbiol       Date:  2001-03       Impact factor: 5.948

5.  Evaluation of the Microbial Identification System for identification of clinically isolated yeasts.

Authors:  A E Crist; L M Johnson; P J Burke
Journal:  J Clin Microbiol       Date:  1996-10       Impact factor: 5.948

Review 6.  Microbiological features and clinical relevance of new species of the genus Mycobacterium.

Authors:  Enrico Tortoli
Journal:  Clin Microbiol Rev       Date:  2014-10       Impact factor: 26.132

7.  Diagnostic performance of amplified Mycobacterium tuberculosis direct test with cerebrospinal fluid, other nonrespiratory, and respiratory specimens.

Authors:  G E Pfyffer; P Kissling; E M Jahn; H M Welscher; M Salfinger; R Weber
Journal:  J Clin Microbiol       Date:  1996-04       Impact factor: 5.948

8.  Mycobacterium canettii, the smooth variant of M. tuberculosis, isolated from a Swiss patient exposed in Africa.

Authors:  G E Pfyffer; R Auckenthaler; J D van Embden; D van Soolingen
Journal:  Emerg Infect Dis       Date:  1998 Oct-Dec       Impact factor: 6.883

Review 9.  The new diagnostic mycobacteriology laboratory.

Authors:  M Salfinger; G E Pfyffer
Journal:  Eur J Clin Microbiol Infect Dis       Date:  1994-11       Impact factor: 3.267

10.  Performance characteristics of the BDProbeTec system for direct detection of Mycobacterium tuberculosis complex in respiratory specimens.

Authors:  G E Pfyffer; P Funke-Kissling; E Rundler; R Weber
Journal:  J Clin Microbiol       Date:  1999-01       Impact factor: 5.948

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