Baranyi

D39 vs ccpA model's description for ccpA growth in Glucose measurement:

(not defined)

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

Estimation is performed on log scale (base e)
#######################################

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.
m0.88895552823233curvature parameter to characterize the transition from the exponential phase
μ max.0.95590647061995maximum specific growth rate
v0.53072069417057curvature parameter to characterize the transition to the exponential phase
y0-2.87054754112086initial population density
ymax0.0asymptotic for the population density
Optimal Cost0.00517887750093fitting 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
0.0192 0.99927 1.00248 1.00248

Baranyi's Curve