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      General model, based on two mixed weibull distributions of bacterial resistance, for describing various shapes of inactivation curves.

      Applied and Environmental Microbiology
      Acids, pharmacology, Drug Resistance, Bacterial, physiology, Food Microbiology, Listeria monocytogenes, drug effects, Models, Biological, Salmonella enterica

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          Abstract

          Cells of Listeria monocytogenes or Salmonella enterica serovar Typhimurium taken from six characteristic stages of growth were subjected to an acidic stress (pH 3.3). As expected, the bacterial resistance increased from the end of the exponential phase to the late stationary phase. Moreover, the shapes of the survival curves gradually evolved as the physiological states of the cells changed. A new primary model, based on two mixed Weibull distributions of cell resistance, is proposed to describe the survival curves and the change in the pattern with the modifications of resistance of two assumed subpopulations. This model resulted from simplification of the first model proposed. These models were compared to the Whiting's model. The parameters of the proposed model were stable and showed consistent evolution according to the initial physiological state of the bacterial population. Compared to the Whiting's model, the proposed model allowed a better fit and more accurate estimation of the parameters. Finally, the parameters of the simplified model had biological significance, which facilitated their interpretation.

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          Author and article information

          Journal
          17021197
          1610288
          10.1128/AEM.00876-06

          Chemistry
          Acids,pharmacology,Drug Resistance, Bacterial,physiology,Food Microbiology,Listeria monocytogenes,drug effects,Models, Biological,Salmonella enterica

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