Estimation of Aspergillus flavus Growth under the Influence of Different Formulation Factors by Means of Kinetic, Probabilistic, and Survival Models

Publication date: 2016 Source:Procedia Food Science, Volume 7 Author(s): C.E. Kosegarten, E. Mani-López, E. Palou, A. López-Malo, N. Ramírez-Corona A Box-Behnken design was conducted to determine the effect of casein concentration (0, 5, or 10%), corn oil (0, 3, or 6%), aw (0.900, 0.945, or 0.990), pH (3.5, 5.0, or 6.5), concentration of cinnamon essential oil (CEO: 0, 200, or 400ppm), and incubation temperature (15, 25, or 35°C) on the growth of A. flavus during 50 days of incubation. Potato dextrose agars were adjusted to the different levels of tested factors and poured into Petri dishes, once solidified were inoculated with mold spores and incubated at studied temperatures. Mold response was modeled using Gompertz and quadratic polynomial equations. The obtained polynomial regression model (allowed the significant (p<0.05) for linear, quadratic, and interaction effects for the Gompertz equation coefficients’ parameters to be identified) adequately described (R2>0.97) mold growth. Additionally, in order to describe growth/not-growth boundary, collected data after 50 days of incubation were classified according to the observed response as 1 (growth) or 0 (not growth), then a binary logistic regression was used to model growth interface. Mold growth probability strongly depend on casein, oil, temperature, and aw, as well as variations of pH and CEO concentration, being lower for those systems with higher content of CEO (>180ppm). Furthermore...
Source: Procedia Food Science - Category: Food Science Source Type: research