View source: R/weibull-mafart_model.R
dMafart_model | R Documentation |
Calculates the first derivative of Weibull-Mafart model at a given time for the model parameters provided and the environmental conditions given.
dMafart_model(t, x, parms, temp_profile)
t |
numeric vector indicating the time of the experiment. |
x |
list with the value of N at t. |
parms |
parameters for the secondary model. No explicit check of their validity is performed (see section Model Parameters). |
temp_profile |
a function that provides the temperature at a given time. |
The model is developed from the isothermal Weibull-Mafart model without taking into account in the derivation the time dependence of δ_T for non-isothermal temperature profiles.
This function is compatible with the function
predict_inactivation
.
The value of the first derivative of N at time t
as a list.
dN/dt = -N * p * (1/delta)^p * t^(p-1)
delta(T) = delta_ref * 10^(- (T-T_ref)/z )
temp_ref: Reference temperature for the calculation.
delta_ref: Value of the scale factor at the reference temperature.
z: z-value.
p: shape factor of the Weibull distribution.
For t=0, dN = 0 unless n=1. Hence, a small shift needs to be introduced to t.
predict_inactivation
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