Evaluation of simplified and commercial systems for identification of foodborne yeasts

T. Deák, L. R. Beuchat

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Commercial identification kits (API 20C, API Yeast-Ident and API-Zym) were compared with a conventional but simplified identification method (SIM) for identifying seventy-two yeast isolates from fresh sweet corn. SIM failed to provide identification of two isolates. Of the twenty species identified, only eleven were included in the API 20C profile index. Three isolates were identified at the species level and three were identified at the genus level with 100% accuracy. The enzyme kit (Yeast-Ident) gave rather unreliable results, in that identification of only four isolates with 75 to 85% of appropriate reactions was made. The API 20C kit could be used to identify non-clinical yeasts, provided they were included in its database and a few additional tests (urease reaction, nitrate assimilation and glucose fermentation) were also performed.

Original languageEnglish
Pages (from-to)135-145
Number of pages11
JournalInternational Journal of Food Microbiology
Volume7
Issue number2
DOIs
Publication statusPublished - 1988

Fingerprint

Yeasts
yeasts
Urease
sweetcorn
urease
Nitrates
Fermentation
Zea mays
assimilation (physiology)
fermentation
nitrates
Databases
Glucose
glucose
Enzymes
enzymes
methodology
testing

Keywords

  • Identification kits
  • Yeast identification
  • Yeast identification, simplified
  • Yeast, foodborne

ASJC Scopus subject areas

  • Food Science
  • Microbiology

Cite this

Evaluation of simplified and commercial systems for identification of foodborne yeasts. / Deák, T.; Beuchat, L. R.

In: International Journal of Food Microbiology, Vol. 7, No. 2, 1988, p. 135-145.

Research output: Contribution to journalArticle

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