Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-17T14:05:03.754Z Has data issue: false hasContentIssue false
  • English
  • Français

Comparison of the Microbact-12E and 24E systems and the API-20E system for the identification of Enterobacteriaceae

Published online by Cambridge University Press:  25 March 2010

P. Mugg  and
A. Hill
P. Mugg
Affiliation:
Institute of Medical and Veterinary Science, Frome Road, Adelaide, South Australia, 5000
A. Hill
Affiliation:
Institute of Medical and Veterinary Science, Frome Road, Adelaide, South Australia, 5000
Rights & Permissions [Opens in a new window]

Summary

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The Microbact-24E and the Microbact-12E systems are two new miniaturized identification systems for the identification of organisms belonging to the family Enterobacteriaceae. These two systems were compared to the API-20E system for the identification of 352 fresh clinical isolates of Enterobacteriaceae. All three systems were easy to use and came complete with computerized profile registers to assist with final identification of the isolates. The Microbact-24E identified 98 %, the API-20E and MB-12E identifying 94·3% and 88·6% respectively. Where different identifications were obtained with the Microbact-24E and API-20E conventional biochemical tests, motility and serology were performed. The Microbact-24E system proved to be a very accurate and convenient means of identifying members of the family Enterobacteriaceae.

Type
Research Article
Information
Journal of Hygiene , Volume 87 , Issue 2 , October 1981 , pp. 287 - 297
Copyright
Copyright © Cambridge University Press 1981

References

Aldridge, K. E., Gardner, B. B., Clark, S. J. & Matsen, J. M. (1978). Comparison of Micro-1D, API-20E and conventional media systems in identification of Enterobacteriaceae. Journal of Clinical Microbiology 7, 507–513.CrossRefGoogle Scholar
Blazevic, D. J., Mackay, D. L. & Warwood, N. M. (1979). Comparison of Micro-1D and API-20E systems for identification of Enterobacteriaceae. Journal of Clinical Microbiology 9, 605–608.CrossRefGoogle Scholar
Brooks, K. A., Jens, M. & Sodeman, T. M. (1974). A clinical evaluation of the API microtube system for identification of Enterobacteriaceae. American Journal of Medical Technology 40, 55–61.Google ScholarPubMed
Cowan, & Steel, (1977). Manual for the Identification of Medical Bacteria, 2nd ed.Cambridge: Cambridge University Press.Google Scholar
Dybowski, W. & Franklin, D. A. (1968). Conditional Probability and the Identification of Bacteria. Journal of General Microbiology 54, 215–229.CrossRefGoogle ScholarPubMed
Dybowski, W., Franklin, D. A. & Payne, L. C. (1963). Computer for bacteriological diagnosis. Lancet ii, 866.Google Scholar
Edwards, P. R. & Ewing, W. H. (1972). Identification of Enterobacteriaceae, 3rd ed.Minneapolis: Burgess Publishing.Google Scholar
Goldschmidt, M. C. & Fung, D. Y. (1978). New methods for the microbiological analysis of food. Journal of Food Protection 41, 201–219.CrossRefGoogle ScholarPubMed
Lapage, S. P., Basdomb, S., Willcox, W. R., Curtis, M. A., Baille, A. & Gilbert, R. J., eds. (1970). Computer Identification of Bacteria, in Automation, Mechanization and Date Handling in Microbiology. Academic Press.Google Scholar
McCulloch, P. F. (1977). Computer based identification systems. Laboratory Equipment Digest, July, 38–45.Google Scholar
Mugg, P. A. (1979). Comparison of Microbact-12E, API-20E and conventional media systems for the identification of Enterobacteriaceae. Australian Journal of Medical Technology 10, 37–41.Google Scholar
Robertson, E. A. & McLowry, J. D. (1975). Construction of an interpretive pattern directory for the API-10S kit and analysis of its diagnostic accuracy. Journal of Clinical Microbiology 1, 515–520.CrossRefGoogle Scholar