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Cardinal parameter meta-regression models describing Listeria monocytogenes growth in broth

2020Journal article Open access
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dc.contributor.authorSilva, Beatriz Nunes
dc.contributor.authorCadavez, Vasco
dc.contributor.authorTeixeira, José
dc.contributor.authorEllouze, Mariem
dc.contributor.authorGonzales-Barron, Ursula
dc.date.accessioned2018-02-19T10:00:00Z
dc.date.accessioned2021-02-27T16:21:26Z
dc.date.available2018-01-19T10:00:00Z
dc.date.available2021-02-27T16:21:26Z
dc.date.issued2020
dc.description.abstractListeria monocytogenes has a high case-fatality rate, substantial research has been devoted to estimate its growth rate under different conditions of temperature, pH and water activity (aw). In this study, published findings on L. monocytogenes growth in broth were extracted and unified by constructing meta-regression models based on cardinal models for (i) temperature (CM[T]), (ii) temperature and pH (CM[T][pH]), and (iii) temperature, pH and aw (CM[T][pH][aw]). After assessing all the sources retrieved between 1988 until 2017, forty-nine primary studies were considered appropriate for inclusion. Apart from the modelling variables, study characteristics such as: type of broth (BHI, TSB, TPB), reading method (colony-forming-units, CFU; or binary-dilution optical density methods, OD), inoculum concentration and strain serotype, were also extracted. Meta-regressions based on CM[T] and CM[T][pH] were fitted on subsets of the 2009 growth rate measures and revealed that type of broth and reading method significantly modulated the cardinal parameter estimates. In the most parsimonious CM[T][pH][aw] meta-regression model, whereby the variability due to type of broth was extracted in a nested random-effects structure, the optimum growth rate μopt of L. monocytogenes was found to be lower when measured as CFU (0.947 log CFU/h; SE = 0.094 log CFU/h) than when measured as OD (1.289 log CFU/h; SE = 0.092 log CFU/h). Such a model produced the following cardinal estimates: Tmin = -1.273 °C (SE = 0.179 °C), Topt = 37.26 °C (SE = 0.688 °C), Tmax = 45.12 °C (SE = 0.013 °C), pHmin = 4.303 (SE = 0.014), pHopt = 7.085 (SE = 0.080), pHmax = 9.483 (SE = 0.080), aw min = 0.894 (SE = 0.002) and awopt = 0.995 (SE = 0.001). Integrating the outcomes from numerous L. monocytogenes growth experiments, this meta-analysis has estimated pooled cardinal parameters that can be used as reference values in quantitative risk assessment studies.en_EN
dc.description.sponsorshipU. Gonzales-Barron and V. Cadavez are grateful to the Foundation for Food Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES to CIMO (UIDB/00690/2020). U. Gonzales-Barron acknowledges the national funding by FCT, P.I., through the Institutional Scientific Employment Program contract.
dc.description.versioninfo:eu-repo/semantics/publishedVersionen_EN
dc.identifier.citationNunes Silva, Beatriz; Cadavez, Vasco; Teixeira, José António; Ellouze, Mariem; Gonzales-Barron, Ursula (2020). Cardinal parameter meta-regression models describing Listeria monocytogenes growth in broth. Food Research International. ISSN 0963-9969. 136, p.en_EN
dc.identifier.doi10.1016/j.foodres.2020.109476en_EN
dc.identifier.issn0963-9969
dc.identifier.urihttp://hdl.handle.net/10198/23375
dc.language.isoeng
dc.peerreviewedyesen_EN
dc.relationMountain Research Center
dc.subjectGrowth experimentsen_EN
dc.subjectKinetic parametersen_EN
dc.subjectMeta-analysisen_EN
dc.subjectPredictive microbiologyen_EN
dc.subjectSecondary modelen_EN
dc.titleCardinal parameter meta-regression models describing Listeria monocytogenes growth in brothen_EN
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMountain Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameSilva
person.familyNameCadavez
person.familyNameGonzales-Barron
person.givenNameBeatriz Nunes
person.givenNameVasco
person.givenNameUrsula
person.identifierR-000-HDG
person.identifier.ciencia-id3A1B-9D91-31B4
person.identifier.ciencia-id441B-01AB-A12E
person.identifier.ciencia-id0813-C319-B62A
person.identifier.orcid0000-0002-7571-031X
person.identifier.orcid0000-0002-3077-7414
person.identifier.orcid0000-0002-8462-9775
person.identifier.ridA-3958-2010
person.identifier.scopus-author-id57207937268
person.identifier.scopus-author-id9039121900
person.identifier.scopus-author-id9435483700
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccessen_EN
rcaap.typearticleen_EN
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