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A vitalistic approach for non-thermal inactivation of pathogens in traditional Greek salads

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dc.contributor.author Skandamis, PN en
dc.contributor.author Davies, KW en
dc.contributor.author McClure, PJ en
dc.contributor.author Koutsoumanis, K en
dc.contributor.author Tassou, C en
dc.date.accessioned 2014-06-06T06:44:58Z
dc.date.available 2014-06-06T06:44:58Z
dc.date.issued 2002 en
dc.identifier.issn 07400020 en
dc.identifier.uri http://dx.doi.org/10.1006/fmic.2002.0495 en
dc.identifier.uri http://62.217.125.90/xmlui/handle/123456789/2186
dc.subject.other Bacteria (microorganisms) en
dc.subject.other Escherichia en
dc.subject.other Origanum vulgare en
dc.subject.other Salmonella en
dc.subject.other Salmonella enterica en
dc.subject.other Salmonella enterica subsp. enterica en
dc.subject.other Salmonella enteritidis en
dc.subject.other Solanum melongena en
dc.title A vitalistic approach for non-thermal inactivation of pathogens in traditional Greek salads en
heal.type journalArticle en
heal.identifier.primary 10.1006/fmic.2002.0495 en
heal.publicationDate 2002 en
heal.abstract A vitalistic model was developed for the effects of low pH, chill temperatures and oregano essential oil on Salmonella enterica subsp. enterica serotype Enteritidis PT4 (S. Enteritidis PT 4) and Escherichia coil O157:H7 NCTC 12900 in taramasalad and aubergine salad, respectively. The model was based on the concept of the existence of heterogeneous response to stress within a genetically identical bacterial population that is exposed to stress at lethal levels. The imposed stress conditions were mathematically expressed as an argument of a cumulative normal distribution function, to predict the proportion of survivors at a given time of exposure. For each food, the modelling procedure consisted of estimating parameters using nonlinear least squares in one step, resulting in a single equation. The graphical illustration of the fitted model and data confirmed a good fit. Moreover, model comparisons with literature data and Pathogen Modelling Program were carried out to underline the importance and specificity of developing predictive models for survival if pathogens in situ. © 2002 Elsevier Science Ltd. All rights reserved. en
heal.journalName Food Microbiology en
dc.identifier.issue 5 en
dc.identifier.volume 19 en
dc.identifier.doi 10.1006/fmic.2002.0495 en
dc.identifier.spage 405 en
dc.identifier.epage 421 en


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