Curves in Fig. 2 show the behavior of the most thermal resistant between the curves from duplicate trials for each concentration. Table 3 summarizes the mean value and click here standard deviation of fitted parameter values, such β and α, and the t6D, at 100 °C and different EO concentrations (stage I). For the thermochemical resistance at 300 and 350 μg/g, the mean value of t6D was the same, these concentrations reduced the t6D in around 1.0 min from the thermal resistance without EO. The concentration of 400 μg/g resulted in a reduction of approximately 1.4 min and the concentration of 500 μg/g in 1.9 min in the t6D from the thermal resistance without EO. However, the

concentration of 400 μg/g was chosen to continue the experiment with different

temperatures since the organoleptic impact in a food product can be lower than at 500 μg/g. Subsequently, the thermochemical resistances were carried out with the fixed EO concentration of 400 μg/g and different temperatures. For the thermochemical resistance at 400 μg/g, the parameter mean values of β and α, and the mean value of t6D, with their respective standard deviation, are shown in Table 3 (stage II). As can been seen in Table 3, the values of parameter α for the thermochemical resistance at 400 μg/g of oregano EO do not depend on temperature since these values did not differ significantly Palbociclib with increasing temperature. Therefore, the Weibull model with a fixed α was fitted to the thermochemical experimental data. Some studies had already worked with the Weibull model with a fixed α ( Periago et al., 2004 and van Boekel, 2002) why achieving good results. The mean value of α for the thermochemical resistance with 400 μg/g of EO (stage II), equal to 2.65, was used to recalculate β and t6D. Fig. 3 exhibits the behavior of the most thermal resistant between the curves

from duplicate trials for each concentration generated through the Weibull model with parameter α fixed (2.65) with 400 μg/g of EO. The new mean values for parameter β and t6D, with their respective standard deviation, with constant α (2.65) and EO concentration (400 μg/g) are shown in Table 3 (stage III). Fig. 4 shows the dependence on temperature of the parameter β and the t6D for the Weibull model with fixed and varying α at 400 μg/g of oregano EO. Through Fig. 4, it can be observed that modeling with a fixed α did not significantly vary the values of β and t6D, similar to in the secondary model. Equations (5) and (6) show the secondary model for the temperature dependence of β and t6D with a fixed α, respectively. And Equations (7) and (8) present the secondary model for the temperature dependence of β and t6D with a varying α, respectively. The exponential equation (Equation (2)) showed a good fit to β and t6D, as can be seen in Fig. 4 and also through the R2 values. equation(5) β(T)=4.109exp(−0.21·T)R2=0.97 equation(6) t6D(T)=6·1010exp(−0.24·T)R2=0.97 equation(7) β(T)=2·109exp(−0.21·T)R2=0.