Evaluation of the MicroScan enzyme-based system for the identification of foodborne yeasts

T. Deák, L. R. Beuchat

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Eighty-nine strains representing 36 species of foodborne yeasts isolated from fruit juice concentrates were identified using the Baxter MicroScan enzyme-based kit, conventional tests according to a simplified identification method (SIM), and the API 20C kit. Of the 15 test species included in the MicroScan database, only 40% were correctly identified; 13% gave scores of unacceptably low probabilities, 20% were misidentified, and 27% could not be identified. Of the 21 test species not in the MicroScan database, 38% were misidentified and 62% produced biocodes with between-species differences not larger than differences between strains within species. The reliability of the MicroScan enzyme-based system is questioned, in that different results were sometimes obtained upon retesting the same strains. The MicroScan enzyme-based system is rapid, providing results within 4 h. However, because of its restricted and specific database and unreliability, the system appears to be unsuited for the identification of foodborne yeasts.

Original languageEnglish
Pages (from-to)439-446
Number of pages8
JournalJournal of Applied Bacteriology
Volume79
Issue number4
Publication statusPublished - 1995

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Yeasts
Databases
Enzymes
Fruit and Vegetable Juices

ASJC Scopus subject areas

  • Applied Microbiology and Biotechnology
  • Microbiology

Cite this

Evaluation of the MicroScan enzyme-based system for the identification of foodborne yeasts. / Deák, T.; Beuchat, L. R.

In: Journal of Applied Bacteriology, Vol. 79, No. 4, 1995, p. 439-446.

Research output: Contribution to journalArticle

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