BioMed Research International / 2015 / Article / Tab 8 / Research Article
Comparison of Primary Models to Predict Microbial Growth by the Plate Count and Absorbance Methods Table 8 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
Listeria monocytogenes CECT 4031 at 37°C in TSB+YE inoculating 10
2 , 10
4 , and 10
6 CFU mL
−1 shown in Figure
3(b) .
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 2.00 (1.85–2.14) 0.487 (0.467–0.506) 1.988 (1.820–2.150) — 0.997 0.0346 0.0620 104 1.95 (1.75–2.06) 0.432 (0.424–0.441) 4.006 (3.970–4.040) — 0.986 0.1525 0.1235 106 2.00 (1.78–2.24) 0.423 (0.402–0.441) 6.113 (5.870–6.360) 2.554 0.985 0.0916 0.1070 Gompertz 102 2.13 (1.63–2.63) 0.542 (0.510–0.574) 1.803 (1.599–2.007) 6.071 (4.105–8.038) 0.997 0.0406 0.0672 104 2.22 (1.63–2.81) 0.503 (0.443–0.564) 3.932 (3.755–4.109) 3.917 (2.982–4.852) 0.993 0.0691 0.0870 106 2.27 (1.70–2.83) 0.485 (0.417–0.554) 6.009 (5.856–6.163) 3.227 (2.604–3.85) 0.992 0.0655 0.0853 Logistic 102 1.73 (0.75–2.71) 0.559 (0.511–0.606) 1.501 (1.086–1.917) 5.297 (3.521–7.073) 0.995 0.0614 0.0826 104 1.91 (0.72–3.10) 0.513 (0.428–0.597) 3.715 (3.340–4.091) 3.739 (2.689–4.79) 0.989 0.1087 0.1099 106 2.12 (1.18–3.06) 0.501 (0.415–0.587) 5.863 (5.599–6.127) 3.073 (2.465–3.681) 0.990 0.0841 0.0967 Richards 102 2.13 (1.41–2.85) 0.003 (−2.733–2.738) 1.803 (1.282–2.323) 6.068 (0.701–11.440) 0.002 (−1.865–1.868) 0.996 0.0407 0.0713 104 2.22 (1.57–2.86) 0.0008 (−2.303–2.304) 3.932 (3.614–4.250) 3.917 (2.384–5.450) 0.0006 (−1.686–1.687) 0.992 0.0691 0.0929 106 2.27 (1.70–2.84) 0.013 (0.011–0.015) 6.008 (5.854–6.163) 3.222 (2.601–3.843) 0.01a 0.992 0.0657 0.0854 Baranyi 102 2.07 (1.84–2.31) 0.514 (0.494–0.534) 1.891 — 0.999 0.0453 104 1.86 (1.34–2.37) 0.447 (0.410–0.483) 3.896 — 0.993 0.0875 106 2.14 (1.64–2.64) 0.460 (0.402–0.517) 5.996 2.774 0.993 0.0774
Value fixed at bound.