Modeling bacterial growth responses
- 1 September 1993
- journal article
- Published by Oxford University Press (OUP) in Journal of Industrial Microbiology & Biotechnology
- Vol. 12 (3) , 190-194
- https://doi.org/10.1007/bf01584189
Abstract
The main steps of modeling bacterial growth responses are summarized and a new model for growth curves is shown. Its advantages are analyzed from some theoretical and practical points of view. The new model fits better and has more advantageous statistical properties than the Gompertz curve.Keywords
This publication has 11 references indexed in Scilit:
- A non-autonomous differential equation to modelbacterial growthFood Microbiology, 1993
- Notes on reparameterization of bacterial growth curvesFood Microbiology, 1992
- Refinements in the prediction of microbial growth curvesFood Microbiology, 1991
- A mathematical approach toward defining and calculating the duration of the lag phaseFood Microbiology, 1990
- USING SPREADSHEET SOFTWARE FOR PREDICTIVE MICROBIOLOGY APPLICATIONSJournal of Food Safety, 1990
- Varieties of stochastic model: a comparative study of the gompertz effectJournal of Theoretical Biology, 1989
- Predicting microbial growth: growth responses of salmonellae in a laboratory medium as affected by pH, sodium chloride and storage temperatureInternational Journal of Food Microbiology, 1988
- On the practical identifiability of microbial growth models incorporating Michaelis-Menten type nonlinearitiesMathematical Biosciences, 1982
- A theory of growthMathematical Biosciences, 1976
- Statistics and dynamics of procaryotic cell populationsMathematical Biosciences, 1967