BioMed Research International / 2015 / Article / Tab 9 / 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 10
2 , 10
4 , and 10
6 CFU mL
−1 shown in Figure
3(c) .
Growth model Initial concentration (CFU mL−1 ) Lag time (h) Growth rate (log cycles h−1 ) (log CFU mL−1 ) (log cycles)SSE RMSE Three-phase linear 102 1.61 (1.41–1.81) 0.518 (0.507–0.526) 2.011 (1.800–2.220) — 0.992 0.3897 0.1731 104 1.63 (1.39–1.89) 0.521 (0.508–0.544) 4.108 (3.790–4.430) 5.175 0.991 0.4079 0.1771 106 1.74 (1.45–2.02) 0.574 (0.523–0.627) 6.052 (5.920–6.180) 3.229 0.948 0.9450 0.2931 Gompertz 102 1.49 (0.57–2.42) 0.576 (0.531–0.620) 1.687 (1.330–2.043) 7.489 (5.845–9.132) 0.997 0.1518 0.1125 104 1.55 (0.97–2.13) 0.580 (0.549–0.611) 3.862 (3.641–4.083) 7.252 (6.270–8.234) 0.999 0.0669 0.0747 106 2.25 (1.63–2.88) 0.692 (0.515–0.869) 6.180 (5.988–6.372) 3.233 (2.898–3.568) 0.985 0.3275 0.1652 Logistic 102 0.41 (−1.52–2.34) 0.578 (0.520–0.635) 1.011 (0.223–1.799) 7.501 (5.528–9.474) 0.995 0.2043 0.1305 104 0.85 (−0.11–1.81) 0.593 (0.557–0.630) 3.344 (2.965–3.722) 6.952 (6.051–7.852) 0.998 0.0727 0.0778 106 2.28 (1.64–2.93) 0.728 (0.576–0.880) 6.065 (5.866–6.265) 3.264 (2.987–3.541) 0.992 0.1763 0.1212 Richards 102 1.49 (−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) 0.996 0.1519 0.1175 104 1.53 (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) 0.998 0.0671 0.0781 106 2.11 (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) 0.996 0.0874 0.0891 Baranyi 102 1.32 (0.71–1.92) 0.523 (0.489–0.556) 1.807 — 0.996 0.1176 104 1.79 (1.45–1.92) 0.568 (0.539–0.598) 4.040 5.512 0.999 0.0624 106 2.35 (1.76–2.93) 0.687 (0.528–0.849) 6.181 3.093 0.991 0.1288