The DOI matches its Crossref record.
A predictive model for combined temperature and water activity on microbial growth during the growth phase
Abstract
An empirical and generalized model is presented, based on a modified Arrhenius equation, for predicting the combined effect of temperature and water activity on the growth rate of bacteria. When it was applied to seven separate sets of wide ranging published results, spanning some 50 years and including a spore‐former and a silage micro‐organism, predictions explained between 92.9 and 99.0% of the variation in the results with an overall mean of 96.6%. Advantages over existing models are that it is relatively easy to fit to data using least squares regression and requires only five coefficients. These, together with its simplicity and demonstrated wide application, will facilitate its practical use.
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Cited by
Validating and comparing predictive models
Baranyi, J., Pin, C., & Ross, T. (1999) · International Journal of Food Microbiology · doi:10.1016/s0168-1605(99)00035-5 · Cited by 372
Whiting, R. C. (1995) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408399509527711 · Cited by 255
Luby, S. P., Halder, A. K., Huda, T., Unicomb, L., & Johnston, R. B. (2011) · PLoS Medicine · doi:10.1371/journal.pmed.1001052 · Cited by 217
Metadata
- Authors
- Davey, K. R.
- Venue
- Journal of Applied Bacteriology
- Publisher
- Wiley
- Published
- 1989-11
- Volume
- 67
- Issue
- 5
- Pages
- 483-488
- ISSN
- 0021-8847 (ISSN-L)
- OpenAlex
- W2155273471
- Cited by
- 205
- References
- 0
- FWCI
- 3.19
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: A predictive model for combined temperature and water activity on microbial growth during the growth phase. https://app.cochat.ai/papers/10.1111/j.1365-2672.1989.tb02519.x
- The paper
- Davey, K. R. (1989). A predictive model for combined temperature and water activity on microbial growth during the growth phase. Journal of Applied Bacteriology. https://doi.org/10.1111/j.1365-2672.1989.tb02519.x
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
