Literature DB >> 2059042

Comparative study on the identification of food-borne yeasts.

T Török1, A D King.   

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.

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Year:  1991        PMID: 2059042      PMCID: PMC182869          DOI: 10.1128/aem.57.4.1207-1212.1991

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  10 in total

1.  Evaluation and reliability of a simplified method for identification of food-borne yeasts.

Authors:  H Rohm; F Lechner
Journal:  Appl Environ Microbiol       Date:  1990-05       Impact factor: 4.792

2.  Lack of precision in commercial identification systems: correction using Bayesian analysis.

Authors:  S A Berger
Journal:  J Appl Bacteriol       Date:  1990-03

3.  Evaluation of simplified and commercial systems for identification of foodborne yeasts.

Authors:  T Deák; L R Beuchat
Journal:  Int J Food Microbiol       Date:  1988-10       Impact factor: 5.277

4.  Computer-assisted identification of anaerobic bacteria.

Authors:  R W Kelley; S T Kellogg
Journal:  Appl Environ Microbiol       Date:  1978-03       Impact factor: 4.792

5.  Identification of bacteria by computer: general aspects and perspectives.

Authors:  S P Lapage; S Bascomb; W R Willcox; M A Curtis
Journal:  J Gen Microbiol       Date:  1973-08

6.  Identification of bacteria by computer: theory and programming.

Authors:  W R Willcox; S P Lapage; S Bascomb; M A Curtis
Journal:  J Gen Microbiol       Date:  1973-08

7.  MICRID: a computer-assisted microbial identification system.

Authors:  S T Kellogg
Journal:  Appl Environ Microbiol       Date:  1979-09       Impact factor: 4.792

8.  Conditional probability and the identification of bacteria: a pilot study.

Authors:  W Dybowski; D A Franklin
Journal:  J Gen Microbiol       Date:  1968-12

9.  Modification of potassium nitrate assimilation test for identification of clinically important yeasts.

Authors:  D H Pincus; I F Salkin; N J Hurd; I L Levy; M A Kemna
Journal:  J Clin Microbiol       Date:  1988-02       Impact factor: 5.948

Review 10.  Conventional and rapid methods for yeast identification.

Authors:  C C Lin; D Y Fung
Journal:  Crit Rev Microbiol       Date:  1987       Impact factor: 7.624

  10 in total
  6 in total

1.  Rapid and reliable identification of food-borne yeasts by Fourier-transform infrared spectroscopy.

Authors:  M Kümmerle; S Scherer; H Seiler
Journal:  Appl Environ Microbiol       Date:  1998-06       Impact factor: 4.792

2.  Comparison of use of phenotypic and genotypic characteristics for identification of species of the anamorph genus Candida and related teleomorph yeast species.

Authors:  G N Latouche; H M Daniel; O C Lee; T G Mitchell; T C Sorrell; W Meyer
Journal:  J Clin Microbiol       Date:  1997-12       Impact factor: 5.948

3.  Fourier-transform infrared microspectroscopy, a novel and rapid tool for identification of yeasts.

Authors:  Mareike Wenning; Herbert Seiler; Siegfried Scherer
Journal:  Appl Environ Microbiol       Date:  2002-10       Impact factor: 4.792

4.  Development of an oligonucleotide probe for Aureobasidium pullulans based on the small-subunit rRNA gene.

Authors:  S Li; D Cullen; M Hjort; R Spear; J H Andrews
Journal:  Appl Environ Microbiol       Date:  1996-05       Impact factor: 4.792

5.  In vitro and in vivo application of active compounds with anti-yeast activity to improve the shelf life of ready-to-eat table grape.

Authors:  Costa Cristina; Lucera Annalisa; Conte Amalia; Contò Francesco; Matteo Alessandro Del Nobile
Journal:  World J Microbiol Biotechnol       Date:  2013-03-20       Impact factor: 3.312

6.  Ascomycetous yeasts associated with naturally occurring fruits in a tropical rain forest.

Authors:  G M Prada; F C Pagnocca
Journal:  Folia Microbiol (Praha)       Date:  1997       Impact factor: 2.629

  6 in total

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