2015
DOI: 10.1515/pjvs-2015-0005
|View full text |Cite
|
Sign up to set email alerts
|

Modeling the kinetics of survival of Staphylococcus aureus in regional yogurt from goat's milk

Abstract: The aim of this study was to determine the kinetics of the survival of the test strain of Staphylococcus aureus in the product investigated. Yogurt samples were contaminated with S. aureus to an initial level of 10 3 -10 4 cfu/g. The samples were then stored at four temperatures: 4, 6, 20, 22 o C.During storage, the number of S. aureus forming colonies in a gram of yogurt was determined every two hours. Based on the results of the analysis culture the curves of survival were plotted. Three primary models were … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
1
0
1

Year Published

2017
2017
2022
2022

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 14 publications
0
1
0
1
Order By: Relevance
“…With predictive microbiology models, the behavior of microorganisms under specific environmental conditions can be predicted throughout the food supply chain (Pérez-Rodríguez and Valero, 2013), in particular to perform or validate control measurements. Although pathogen behavior in yogurt has been investigated by several researchers (Akkaya et al., 2009; Al-Haddad, 2003; Álvarez-Ordóñez et al., 2012; Bachrouri et al., 2002; Canganella et al., 1999; Massa et al., 1997; Ogwaro et al., 2002; Pazakova et al., 1997), there are only few predictive modeling studies available in the literature (Bednarko-Młynarczyk et al., 2015; Szczawiński et al., 2014). To the best of our knowledge, these studies only focus on modeling the effect of the storage process, not addressing pathogen survival during fermentation.…”
Section: Introductionmentioning
confidence: 99%
“…With predictive microbiology models, the behavior of microorganisms under specific environmental conditions can be predicted throughout the food supply chain (Pérez-Rodríguez and Valero, 2013), in particular to perform or validate control measurements. Although pathogen behavior in yogurt has been investigated by several researchers (Akkaya et al., 2009; Al-Haddad, 2003; Álvarez-Ordóñez et al., 2012; Bachrouri et al., 2002; Canganella et al., 1999; Massa et al., 1997; Ogwaro et al., 2002; Pazakova et al., 1997), there are only few predictive modeling studies available in the literature (Bednarko-Młynarczyk et al., 2015; Szczawiński et al., 2014). To the best of our knowledge, these studies only focus on modeling the effect of the storage process, not addressing pathogen survival during fermentation.…”
Section: Introductionmentioning
confidence: 99%
“…Bu nedenle önemli g›da patojenlerinin neden oldu¤u hastal›klar›n önlenebilmesi için, bu patojenlerin g›da içindeki davran›fllar›n›n araflt›r›lmas› gerekmektedir. Literatürde yo¤urdun fermantasyonu ve depolamas› s›ras›nda patojen geliflimi ile ilgili pek çok çal›flma yap›lm›fl olsa da (6)(7)(8)(15)(16)(17)(18) yo¤urtta Salmonella davran›fl›n›n incelendi¤i çal›flmalar oldukça s›n›rl›d›r (13,19,20).…”
Section: Introductionunclassified