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

Volumn 76, Issue 18, 2010, Pages 6038-6046

  Obeso, José M ^a   García, Pilar ^a   Martínez, Beatriz ^a   Noé Arroyo López, Francisco ^b   Garrido Fernández, Antonio ^c   Rodriguez, Ana ^a  

^a DEPARTMENT OF MICROBIOLOGY AND BIOCHEMISTRY OF DAIRY PRODUCTS   (Spain)

^b UNIVERSITY OF VALENCIA   (Spain)

^c INSTITUTO DE LA GRASA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BACTERIAL CONTAMINATION; BIOCONTROL AGENT; EXPERIMENTAL DESIGN; FOOD-BORNE PATHOGENIC BACTERIA; GLOBAL MODELS; HIGHER-DEGREE; LOGISTIC REGRESSIONS; MODEL PREDICTION; PASTEURIZED MILK; PROBABILISTIC MODELS; S. AUREUS; STAPHYLOCOCCUS AUREUS;

BACTERIA; BACTERIOLOGY; BIOCONTROL; CONTAMINATION; DESIGN OF EXPERIMENTS; FORECASTING; REGRESSION ANALYSIS;

BACTERIOPHAGES;

BACTERIOPHAGE; BACTERIUM; BIOCONTROL AGENT; GENE EXPRESSION; GROWTH RATE; LOGISTICS; MILK; PATHOGENICITY; PROBABILITY;

ANIMAL; ARTICLE; BACTERIOPHAGE; BIOLOGICAL PEST CONTROL; GROWTH, DEVELOPMENT AND AGING; METABOLISM; METHODOLOGY; MICROBIOLOGY; MILK; PHYSIOLOGY; PREDICTIVE VALUE; STAPHYLOCOCCUS AUREUS; STATISTICAL MODEL; TEMPERATURE; TIME; VIROLOGY;

ANIMALS; BACTERIOPHAGES; LOGISTIC MODELS; MILK; PEST CONTROL, BIOLOGICAL; PREDICTIVE VALUE OF TESTS; STAPHYLOCOCCUS AUREUS; TEMPERATURE; TIME FACTORS;

BACTERIA (MICROORGANISMS); STAPHYLOCOCCUS AUREUS;

EID: 77956795545     PISSN: 00992240     EISSN: 10985336     Source Type: Journal    
DOI: 10.1128/AEM.00613-10     Document Type: Article

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