Research Article

Comparison of Primary Models to Predict Microbial Growth by the Plate Count and Absorbance Methods

Table 7

Growth parameters and their 95% confidence limits and coefficients of determination (), SSE, and RMSE of fit obtained with different growth models for average plate count growth curves of Bacillus cereus INRA-AVTZ 415 at 30°C in BHI inoculating 10, 103, and 105 CFU mL−1 shown in Figure 3(a).

Growth modelInitial concentration (CFU mL−1)Lag time (h)Growth rate
(log cycles h−1)

(log CFU mL−1)

(log cycles)
SSERMSE

Three-phase linear102.75
(2.59–2.91)
1.112
(1.073–1.115)
1.343
(1.202–1.484)
7.7010.9930.28800.2400
1032.92
(2.79–3.05)
1.182
(1.121–1.138)
3.414
(3.338–3.490)
5.3370.9270.72950.4931
1052.77
(2.64–2.91)
1.143
(1.049–1.232)
5.367
(5.289–5.444)
3.3720.9200.80990.4025

Gompertz103.06
(2.59–3.52)
1.276
(1.112–1.440)
1.211
(0.983–1.440)
9.049
(7.519–10.580)
0.9960.28460.1886
1033.30
(3.08–3.53)
1.598
(1.380–1.816)
3.403
(3.302–3.504)
5.521
(5.284–5.757)
0.9980.08110.1007
1053.00
(2.82–3.17)
1.386
(1.206–1.565)
5.319
(5.257–5.382)
3.469
(3.363–3.574)
0.9990.03010.0613

Logistic103.04
(2.12–3.96)
1.318
(1.081–1.556)
0.914
(0.408–1.421)
8.529
(6.904–10.150)
0.9920.53850.2595
1033.39
(3.00–3.79)
1.651
(1.296–2.006)
3.330
(3.154–3.507)
5.433
(5.112–5.754)
0.9960.17470.1478
1053.10
(2.84–3.36)
1.451
(1.193–1.709)
5.288
(5.194–5.381)
3.461
(3.320–3.603)
0.9970.05510.0830

Richards103.06
(1.92–4.19)
0.0006
(−4.543–4.544)
1.211
(0.779–1.643)
9.049
(5.176–12.920)
0.00017
(−1.310–1.311)
0.9950.28460.2016
1033.30
(3.05–3.55)
0.004
(−2.950–2.958)
3.403
(3.288–3.519)
5.520
(5.229–5.812)
0.0009
(−0.681–0.683)
0.9980.08110.1070
1053.02
(2.82–3.21)
0.536
(−1.052–2.125)
5.316
(5.247–5.385)
3.460
(3.350–3.571)
0.181
(−0.508–0.871)
0.9980.02750.0627

Baranyi102.88
(2.39–3.37)
1.187
(1.054–1.324)
1.1727.8690.9960.1792
1033.09
(2.77–3.41)
1.313
(1.137–1.324)
3.3605.3870.9970.1248
1052.95
(2.75–3.15)
1.275
(1.121–1.429)
5.3093.4360.9990.0604