In these equations, n(t) [ln(CFU/mL)] is the natural logarithm of
the cell number at time t [h], n0 and nmax the natural logarithm of
the initial cell count and the maximum cell number, respectively, q0
[e] a measure of the initial physiological state of the cells and l the
lag time [h]. In this step, values for n0, nmax and l were fixed at
8 ln(CFU/mL), 22.5 ln(CFU/mL) and 1 h, respectively. Simulated
growth curves consisted of a lag phase, an exponential growth
phase and a stationary phase with a fixed total of 20 sample points.
Total experiment duration was adapted according to the growth
rate such that all three phases (lag phase, exponential growth and
stationary phase) were covered and that the exponential phase
contained between 10 and 15 sample points. Simulation of growth
curves resulted in data sets of n(t) for each set of experimental
conditions.
For case study 1.3 (aw), a simple growth model was applied:
In these equations, n(t) [ln(CFU/mL)] is the natural logarithm of
the cell number at time t [h], n0 and nmax the natural logarithm of
the initial cell count and the maximum cell number, respectively, q0
[e] a measure of the initial physiological state of the cells and l the
lag time [h]. In this step, values for n0, nmax and l were fixed at
8 ln(CFU/mL), 22.5 ln(CFU/mL) and 1 h, respectively. Simulated
growth curves consisted of a lag phase, an exponential growth
phase and a stationary phase with a fixed total of 20 sample points.
Total experiment duration was adapted according to the growth
rate such that all three phases (lag phase, exponential growth and
stationary phase) were covered and that the exponential phase
contained between 10 and 15 sample points. Simulation of growth
curves resulted in data sets of n(t) for each set of experimental
conditions.
For case study 1.3 (aw), a simple growth model was applied:
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