Use of logistic regression for prediction of the fate of Staphylococcus aureus in pasteurized milk in the presence of two lytic phages.
Abstract
The use of bacteriophages provides an attractive approach to the fight against food-borne pathogenic bacteria, since they can be found in different environments and are unable to infect humans, both characteristics of which support their use as biocontrol agents. Two lytic bacteriophages, vB_SauS-phiIPLA35 (phiIPLA35) and vB_SauS-phiIPLA88 (phiIPLA88), previously isolated from the dairy environment inhibited the growth of Staphylococcus aureus. To facilitate the successful application of both bacteriophages as biocontrol agents, probabilistic models for predicting S. aureus inactivation by the phages in pasteurized milk were developed. A linear logistic regression procedure was used to describe the survival/death interface of S. aureus after 8 h of storage as a function of the initial phage titer (2 to 8 log(10) PFU/ml), initial bacterial contamination (2 to 6 log(10) CFU/ml), and temperature (15 to 37 degrees C). Two successive models were built, with the first including only data from the experimental design and a global one in which results derived from the validation experiments were also included. The temperature, interaction temperature-initial level of bacterial contamination, and initial level of bacterial contamination...Continue Reading
References
Examination of bacteriophage as a biocontrol method for salmonella on fresh-cut fruit: a model study
Overcoming the phage replication threshold: a mathematical model with implications for phage therapy
Citations
Application of bacteriophages in post-harvest control of human pathogenic and food spoiling bacteria
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