• Title of article

    Modeling growth of three bakery product spoilage molds as a function of water activity, temperature and pH

  • Author/Authors

    Dagnas-Hansen، Frederik نويسنده , , Stéphane and Onno، نويسنده , , Bernard and Membré، نويسنده , , Jeanne-Marie، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    10
  • From page
    95
  • To page
    104
  • Abstract
    The objective of this study was to quantify the effect of water activity, pH and storage temperature on the growth of Eurotium repens, Aspergillus niger and Penicillium corylophilum, isolated from spoiled bakery products. Moreover, the behaviors of these three mold species were compared to assess whether a general modeling framework may be set and re-used in future research on bakery spoilage molds. The mold growth was modeled by building two distinct Gamma-type secondary models: one on the lag time for growth and another one on the radial growth rate. A set of 428 experimental growth curves was generated. The effect of temperature (15–35 °C), water activity (0.80–0.98) and pH (3–7) was assessed. Results showed that it was not possible to apply the same set of secondary model equations to the three mold species given that the growth rate varied significantly with the factors pH and water activity. In contrast, the temperature effect on both growth rate and lag time of the three mold species was described by the same equation. The equation structure and model parameter values of the Gamma models were also compared per mold species to assess whether a relationship between lag time and growth rate existed. There was no correlation between the two growth responses for E. repens, but a slight one for A. niger and P. corylophilum. These findings will help in determining bakery product shelf-life and guiding future work in the predictive mycology field.
  • Keywords
    Predictive microbiology , Bayesian statistics , Bakery product , Mold spoilage , Shelf-Life
  • Journal title
    International Journal of Food Microbiology
  • Serial Year
    2014
  • Journal title
    International Journal of Food Microbiology
  • Record number

    2119027