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KMID : 0357319950300050535
Journal of the Korean Society for Microbiology
1995 Volume.30 No. 5 p.535 ~ p.542
Evaluation of Vitek GNI System with Newer Software for Identification of Aerobic Gram-Negative Bacilli
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Abstract
Vitek GNI system is one of the most widely used automated method for the identification of aerobic gram-negative bacilli. The aim of this study was to evaluate the performance of the system with recently upgraded software. Most of the ciinical
isolates
used in this study were those not identifiable by the conventional minimal test. The rate of identification to species was 93.1%, i.e., 81.6% with high probability, 4.7% with low probability and 6.8% with BioGNI. Citrobacter freundii and
Enterobacter
sp. Were relatively more often unidentified or misidentified. Among the correctly identified strains, 50% of Escherichia coli and 19% of Klebsiella pneumoniae were identified at the end of 2 hour incubation. It is concluded that Vitek GNI system
with
newer software shortened the identification time of some species without compromising the accuracy of the identification.
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