Modeling of the Bacterial Growth Curve
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Summary
Several sigmoidal functions (logistic, Gompertz, Richards, Schnute, and Stannard) were compared to describe a bacterial growth curve by using the model of Schnutes, which is a comprehensive model, encompassing all other models.
- Type
- article
- Published
- 1990-06-01
- Cited by
- 4,275
- References
- 15
- Access
- Open access
- OpenAlex
- https://openalex.org/W2106418531
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:9261633
Keywords
Gompertz function, Sigmoid function, Growth curve (statistics), Mathematics, Logistic function
References
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- Predicting microbial growth: growth responses of salmonellae in a laboratory medium as affected by pH, sodium chloride and storage temperature.
- Hazard analysis applied to microbial growth in foods: development of mathematical models describing the effect of water activity.
- An Algorithm for Least-Squares Estimation of Nonlinear Parameters
- Temperature/growth relationships for psychrotrophic food-spoilage bacteria
- A Flexible Growth Function for Empirical Use
- A Versatile Growth Model with Statistically Stable Parameters
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- Maximum Likelihood based comparison of the specific growth rates for P. aeruginosa and four mutator strains.
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- Effect of inoculum to substrate ratio (I/S) on municipal solid waste anaerobic degradation kinetics and potential.
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