These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Modelling the effect of temperature and water activity of Aspergillus flavus isolates from corn.
    Author: Astoreca A, Vaamonde G, Dalcero A, Ramos AJ, Marín S.
    Journal: Int J Food Microbiol; 2012 May 01; 156(1):60-7. PubMed ID: 22445200.
    Abstract:
    The aim of this study was to model the effects of temperature (10-40 °C) and a(w) (0.80-0.98), in two media (Czapek yeast agar: CYA; corn extract medium: CEM) on the growth rates and growth boundaries (growth-no growth interface) of three strains of A. flavus isolated from corn in Argentina. Both kinetic and probability models were applied to colony growth data. The growth rates obtained in CYA were significantly (p<0.05) greater than those obtained in CEM medium. No significant differences (p<0.05) were observed among the three isolates. The growth rate data showed a good fit to the Rosso cardinal models combined with the gamma-concept with R(2)=0.98-0.99 and RMSE=0.60-0.78, depending on media and isolates. The probability model allowed prediction of safe storage (p of growth <0.01) for one month for moist maize (e.g. 0.90 a(w)) provided temperature is under 15 °C, or for dry maize (e.g. 0.80 a(w)) provided temperature is under 27 °C. Storage at <0.77 a(w) would be safe regardless of the storage temperature. Probability models allow evaluation of the risk of fungal contamination in the process of storage, so the results obtained in this study may be useful for application in systems of food safety management.
    [Abstract] [Full Text] [Related] [New Search]