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dc.contributor.authorGarcia, Daiana
dc.contributor.authorRamos Girona, Antonio J.
dc.contributor.authorSanchís Almenar, Vicente
dc.contributor.authorMarín Sillué, Sònia
dc.date.accessioned2016-11-16T10:11:01Z
dc.date.issued2010
dc.identifier.issn0740-0020
dc.identifier.urihttp://hdl.handle.net/10459.1/58526
dc.description.abstractPredictive models can be a tool to develop strategies to prevent mould development and consequently mycotoxin production. The aims of this work were to assess the impact of a) high/low levels of inoculum and b) optimal/suboptimal environmental conditions on fungal responses based on both kinetic and probabilistic models. Different levels of spore suspensions of Aspergillus carbonarius and Penicillium expansum were prepared and inoculated centrally with a needlepoint load on malt extract agar (MEA) with 50 replicates. While optimum conditions led to a colony diameter increase which followed Baranyi's function, suboptimal conditions led to different grow functions. In general, growth rate (mu) and lag phase (lambda) were normally distributed. Specifically, the growth rate (mu) showed similar distributions under optimal growth conditions, regardless of the inoculum level, while suboptimal a(w) and temperature conditions led to higher kurtosis distributions, mainly when the inoculum levels were low. Regarding lambda, more skewed distributions were observed, mainly when the inoculum levels were low. Probability models were not much affected by the inoculum size. Lower probabilities of growth were in general predicted under marginal conditions at a given time for both strains. The slopes of the probability curves were smaller under suboptimal growth conditions due to wider distributions. Results showed that a low inoculum level and suboptimal conditions lead to high variability of the estimated growth parameters and growth probability.ca_ES
dc.description.sponsorshipThe authors are grateful to the Spanish Government (CICYT, Comisión Interministerial de Ciencia y Tecnología, project AGL 2007-66416-C05-037ALI), Comissionat per a Universitats i Recerca d’Innovació, Universitats I Empresa de la Generalitat de Catalunya (AGAUR) and European Social Fund for the financial support.ca_ES
dc.language.isoengca_ES
dc.publisherElsevierca_ES
dc.relationMIECI/PN2004-2007/AGL2007-66416-C05-037ALIca_ES
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.1016/j.fm.2010.05.015ca_ES
dc.relation.ispartofFood Microbiology, 2010, vol. 27, núm. 7, p. 909-917ca_ES
dc.rights(c) Elsevier, 2010ca_ES
dc.subjectPredictive modelsca_ES
dc.subjectApergillus carbonariusca_ES
dc.subjectPenicillium expansumca_ES
dc.titleModelling mould growth under suboptimal environmental conditions and inoculum sizeca_ES
dc.typearticleca_ES
dc.identifier.idgrec020929
dc.type.versionpublishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_ES
dc.identifier.doihttps://doi.org/10.1016/j.fm.2010.05.015
dc.date.embargoEndDate10000-01-01


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