Use of logistic regression for prediction of the fate of Staphylococcus aureus in pasteurized milk in the presence of two lytic phages.

Applied and Environmental Microbiology
José María ObesoAna Rodríguez

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

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Citations

Jun 5, 2015·Critical Reviews in Biotechnology·Rubén Pérez PulidoRosario Lucas López
Jul 17, 2012·International Journal of Food Microbiology·Edita BuenoAna Rodríguez
Oct 20, 2015·International Journal of Food Microbiology·Lynn El HaddadSylvain Moineau
Jan 14, 2016·Korean Journal for Food Science of Animal Resources·Young-Duck Lee, Jong-Hyun Park
Sep 16, 2018·Viruses·Eva González-MenéndezPilar García
Feb 7, 2019·Frontiers in Microbiology·Diana GutiérrezPilar García

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