Baranyi

Example model's description for Replicate 3 measurement:

Growth data - experimental replicates - example

Description

Baranyi J. and Roberts T.A. (1994). A dynamic approach to predicting bacterial growth in food. Int. J. Food Microbiol. 23, 277-294.

Options

Does not include death phase
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Estimation is performed on log scale (base e)
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Listing 7 parameters

TitleEstimated parameterDescriptionBottom range for estimationTop range for estimation
h05.0dimensionless parameter quantifying the initial physiological state of the population. From that, the lag time lambda can be calculated as h0/mu.
m0.770453curvature parameter to characterize the transition from the exponential phase
μ max.1.491104maximum specific growth rate
v2.098101curvature parameter to characterize the transition to the exponential phase
y00.065197initial population density
ymax2.235877asymptotic for the population density
Optimal Cost0.00028591562159fitting cost (not used in the solver and estimator)(n/a)(n/a)
Download table as .csv
RMSEclick here for more information

Root Mean Square Error (RMSE):

Rmse

For more information: link to Wikipedia articleTrans
R2click here for more information R_square

For more information: link to Wikipedia articleTrans
Biasclick here for more information

Bias Factor (Bf):

Bias

For more information check Ross, T. Indices for performance evaluation of predictive models in food microbiology. Journal of Applied Bacteriology 81, 501–508 (1996).

(link to journal articleTrans )
Accuracyclick here for more information

Accuracry Factor (Af):

Accuracy

For more information check Ross, T. Indices for performance evaluation of predictive models in food microbiology. Journal of Applied Bacteriology 81, 501–508 (1996).

link to journal articleTrans
3.30212 -16.6996 1.91197 1.91197

Baranyi's Curve