Skip to main content
NCBI home page
Applied and Environmental Microbiology logoLink to Applied and Environmental Microbiology
. 1991 Apr;57(4):1207–1212. doi: 10.1128/aem.57.4.1207-1212.1991

Comparative study on the identification of food-borne yeasts.

T Török 1, A D King Jr 1
PMCID: PMC182869  PMID: 2059042

Abstract

Morphologically distinct yeast colonies from partially and fully processed fruits and vegetables were isolated over a 3-year period. Identification of 239 strains was achieved by using standard methods, commercial identification kits (API 20C and API YEAST-IDENT), and a simplified system for food-borne yeasts. The identified strains of fruit origin represented 36 species belonging to 19 genera. Among strains of vegetable origin, 34 species representing 17 genera were identified. The simplified identification system and the conventional method provided the same results in 80% of the cases. The commercial identification kits were easy to use but were not appropriate for food-borne yeast species. Computer-assisted identification was helpful.

Full text

PDF
1207

Selected References

These references are in PubMed. This may not be the complete list of references from this article.

  1. Berger S. A. Lack of precision in commercial identification systems: correction using Bayesian analysis. J Appl Bacteriol. 1990 Mar;68(3):285–288. doi: 10.1111/j.1365-2672.1990.tb02576.x. [DOI] [PubMed] [Google Scholar]
  2. Deák T., Beuchat L. R. Evaluation of simplified and commercial systems for identification of foodborne yeasts. Int J Food Microbiol. 1988 Oct;7(2):135–145. doi: 10.1016/0168-1605(88)90006-2. [DOI] [PubMed] [Google Scholar]
  3. Dybowski W., Franklin D. A. Conditional probability and the identification of bacteria: a pilot study. J Gen Microbiol. 1968 Dec;54(2):215–229. doi: 10.1099/00221287-54-2-215. [DOI] [PubMed] [Google Scholar]
  4. Kelley R. W., Kellogg S. T. Computer-assisted identification of anaerobic bacteria. Appl Environ Microbiol. 1978 Mar;35(3):507–511. doi: 10.1128/aem.35.3.507-511.1978. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Kellogg S. T. MICRID: a computer-assisted microbial identification system. Appl Environ Microbiol. 1979 Sep;38(3):559–563. doi: 10.1128/aem.38.3.559-563.1979. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Lapage S. P., Bascomb S., Willcox W. R., Curtis M. A. Identification of bacteria by computer: general aspects and perspectives. J Gen Microbiol. 1973 Aug;77(2):273–290. doi: 10.1099/00221287-77-2-273. [DOI] [PubMed] [Google Scholar]
  7. Lin C. C., Fung D. Y. Conventional and rapid methods for yeast identification. Crit Rev Microbiol. 1987;14(4):273–289. doi: 10.3109/10408418709104441. [DOI] [PubMed] [Google Scholar]
  8. Pincus D. H., Salkin I. F., Hurd N. J., Levy I. L., Kemna M. A. Modification of potassium nitrate assimilation test for identification of clinically important yeasts. J Clin Microbiol. 1988 Feb;26(2):366–368. doi: 10.1128/jcm.26.2.366-368.1988. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Rohm H., Lechner F. Evaluation and reliability of a simplified method for identification of food-borne yeasts. Appl Environ Microbiol. 1990 May;56(5):1290–1295. doi: 10.1128/aem.56.5.1290-1295.1990. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Willcox W. R., Lapage S. P., Bascomb S., Curtis M. A. Identification of bacteria by computer: theory and programming. J Gen Microbiol. 1973 Aug;77(2):317–330. doi: 10.1099/00221287-77-2-317. [DOI] [PubMed] [Google Scholar]

Articles from Applied and Environmental Microbiology are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES