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Weak-acid preservatives: modelling microbial inhibition and response

Lambert, R. J., Stratford, M.·1999·Journal of Applied Microbiology

Abstract

Weak-acid preservatives are widely used to prevent microbial spoilage of acidic foods and beverages. Characteristically, weak-acid preservatives do not kill micro-organisms but inhibit growth, causing very extended lag phases. Preservatives are more effective at low pH values where solutions contain increased concentrations of undissociated acids. Inhibition by weak-acids involves rapid diffusion of undissociated molecules through the plasma membrane; dissociation of these molecules within cells liberates protons, thus acidifying the cytoplasm and preventing growth. By modelling preservative action in yeast, using a thermodynamic and kinetic approach, it was possible to demonstrate that: (i) inhibition depends more on the degree to which individual preservatives are concentrated within cells, rather than on undissociated acid concentration per se; (ii) it is entirely feasible for microbes to pump protons out of the cell during extended lag phase and raise internal pH (pHi), despite further influx of preservatives; (iii) the duration of the lag phase can be predicted from the model, using a Gaussian fit of proton-pumping H(+)-ATPase activity against pHi; (iv) theoretical ATP consumption for proton pumping can be directly correlated with the reduction in cell yield observed in glucose-limited cultures.

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Metadata

Authors
Lambert, R. J., & Stratford, M.
Venue
Journal of Applied Microbiology
Published
1999-01
Volume
86
Issue
1
Pages
157-164
ISSN
  • 1364-5072 (ISSN-L)
  • 1365-2672
OpenAlex
W1996184189
Cited by
323
References
0
FWCI
3.47
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Weak-acid preservatives: modelling microbial inhibition and response. https://app.cochat.ai/papers/10.1046/j.1365-2672.1999.00646.x
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Lambert, R. J., & Stratford, M. (1999). Weak-acid preservatives: modelling microbial inhibition and response. Journal of Applied Microbiology. https://doi.org/10.1046/j.1365-2672.1999.00646.x

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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.