Use of indirect conductimetry for predicting growth of food spoilage yeasts under various environmental conditions

T. Deak, L. R. Beuchat

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Four variables (temperature, aw, pH and potassium sorbate concentration) at three levels were studied to determine their effects on the growth of six yeasts (Candida glabrata, Candida parapsilosis, Debaryomyces hansenii, Pichia membranaefaciens, Saccharomyces cerevisiae and Zygosaccharomyces bailii) isolated from spoiled food products. The detection time (DT) and the maximum change in conductance (MRC) were measured by indirect conductimetry using a Malthus instrument. Temperature, aw and potassium sorbate concentration were the most important variables individually and in combination that affected yeast growth. Shelf life of fruit juice at aw≤0.96, pH≤3.8 and containing≤0.03% potassium sorbate, when stored at ≤10°C, would be predicted to be greatly extended. Z. bailii was the most resistant of the yeasts in terms of ability to tolerate stress conditions and is proposed as a test species to develop a predictive model for spoilage.

Original languageEnglish
Pages (from-to)301-308
Number of pages8
JournalJournal of Industrial Microbiology
Volume12
Issue number3-5
DOIs
Publication statusPublished - Sep 1 1993

Keywords

  • Food spoilage yeasts
  • Indirect conductimetry
  • Predictive modeling

ASJC Scopus subject areas

  • Applied Microbiology and Biotechnology

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