Pathogen Modeling Program Online


Pathogen Modeling Program (PMP) Online

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Overview of Predictive Microbiology

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pH of Selected Foods

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Models >> Bacterium

Bacteria >> Model

The models are based on extensive experimental data of microbial behavior in liquid microbiological media and food.

There can be no guarantee that predicted values will match those that would occur in any specific food system. Before the models could be used in such a manner, the user would have to validate the models for each specific food of interest.

Growth Rates of Salmonella spp. in Ground Chicken
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Input Conditions

Temperature Units

°C°F

*Please note the growth rate for the Baranyi model has been converted from natural log (Ln) to log₁₀ values.

Line chart of data points for modeled transfer. Also available in a table format beside the chart.

Source:
Vijay K. Juneja, Martin Valenzuela Melendres, Lihan Huang, Vinod Gumudavelli, Jeyamkondan Subbiahc, Harshavardhan Thippareddi, Modeling the effect of temperature on growth of Salmonella in chicken. Food Microbiology 24 328–335. (2007).

Modeled Parameters
Temp (F)	Gompertz GR (log cfu/h)	Baranyi GR (log cfu/h)
Temp (F)	Gompertz GR (log cfu/h)	Baranyi GR (log cfu/h)
50.0	0.032	0.036
51.0	0.035	0.043
52.0	0.039	0.050
53.0	0.043	0.057
54.0	0.047	0.065
55.0	0.051	0.073
56.0	0.055	0.082
57.0	0.059	0.092
58.0	0.064	0.102
59.0	0.069	0.112
60.0	0.074	0.123
61.0	0.079	0.134
62.0	0.084	0.146
63.0	0.090	0.159
64.0	0.095	0.172
65.0	0.101	0.185
66.0	0.107	0.199
67.0	0.113	0.214
68.0	0.120	0.229
69.0	0.126	0.244
70.0	0.133	0.260
71.0	0.140	0.277
72.0	0.147	0.294
73.0	0.154	0.311
74.0	0.161	0.329
75.0	0.169	0.348
76.0	0.177	0.367
77.0	0.185	0.386
78.0	0.193	0.406
79.0	0.201	0.427
80.0	0.209	0.448
81.0	0.218	0.469
82.0	0.227	0.491
83.0	0.236	0.513
84.0	0.245	0.536
85.0	0.254	0.559
86.0	0.263	0.583
87.0	0.273	0.607
88.0	0.283	0.631
89.0	0.293	0.656
90.0	0.303	0.681
91.0	0.313	0.706
92.0	0.324	0.731
93.0	0.334	0.757
94.0	0.345	0.782
95.0	0.356	0.807
96.0	0.367	0.833
97.0	0.378	0.857
98.0	0.389	0.882
99.0	0.401	0.905
100.0	0.412	0.928
101.0	0.423	0.949
102.0	0.435	0.968
103.0	0.446	0.985
104.0	0.456	1.000
105.0	0.466	1.011
106.0	0.475	1.017
107.0	0.482	1.019
108.0	0.488	1.014
109.0	0.490	1.001
110.0	0.488	0.979
111.0	0.479	0.945
112.0	0.462	0.898
113.0	0.432	0.833

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