Research Article

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

Table 9

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 Escherichia coli CECT 4031 at 37°C in pH 5 TSB+YE inoculating 102, 104, and 106 CFU mL−1 shown in Figure 3(c).

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

(log CFU mL−1)

(log cycles)
SSERMSE

Three-phase linear1021.61
(1.41–1.81)
0.518
(0.507–0.526)
2.011
(1.800–2.220)
0.9920.38970.1731
1041.63
(1.39–1.89)
0.521
(0.508–0.544)
4.108
(3.790–4.430)
5.1750.9910.40790.1771
1061.74
(1.45–2.02)
0.574
(0.523–0.627)
6.052
(5.920–6.180)
3.2290.9480.94500.2931

Gompertz1021.49
(0.57–2.42)
0.576
(0.531–0.620)
1.687
(1.330–2.043)
7.489
(5.845–9.132)
0.9970.15180.1125
1041.55
(0.97–2.13)
0.580
(0.549–0.611)
3.862
(3.641–4.083)
7.252
(6.270–8.234)
0.9990.06690.0747
1062.25
(1.63–2.88)
0.692
(0.515–0.869)
6.180
(5.988–6.372)
3.233
(2.898–3.568)
0.9850.32750.1652

Logistic1020.41
(−1.52–2.34)
0.578
(0.520–0.635)
1.011
(0.223–1.799)
7.501
(5.528–9.474)
0.9950.20430.1305
1040.85
(−0.11–1.81)
0.593
(0.557–0.630)
3.344
(2.965–3.722)
6.952
(6.051–7.852)
0.9980.07270.0778
1062.28
(1.64–2.93)
0.728
(0.576–0.880)
6.065
(5.866–6.265)
3.264
(2.987–3.541)
0.9920.17630.1212

Richards1021.49
(−0.21–3.19)
0.002
(−3.220–3.224)
1.686
(0.453–2.919)
7.488
(4.798–10.180)
0.001
(−2.065–2.067)
0.9960.15190.1175
1041.53
(0.45–2.60)
0.061
(−1.745–1.867)
3.839
(3.100–4.578)
7.214
(5.605–8.822)
0.041
(−1.248–1.330)
0.9980.06710.0781
1062.11
(1.08–3.14)
0.953
(0.749–1.157)
5.573
(4.954–6.192)
3.691
(3.069–4.312)
7.363
(−3.876–18.600)
0.9960.08740.0891

Baranyi1021.32
(0.71–1.92)
0.523
(0.489–0.556)
1.8070.9960.1176
1041.79
(1.45–1.92)
0.568
(0.539–0.598)
4.0405.5120.9990.0624
1062.35
(1.76–2.93)
0.687
(0.528–0.849)
6.1813.0930.9910.1288