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dc.contributor.authorAldars García, Laila
dc.contributor.authorSanchís Almenar, Vicente
dc.contributor.authorRamos Girona, Antonio J.
dc.contributor.authorMarín Sillué, Sònia
dc.date.accessioned2017-01-24T11:00:51Z
dc.date.available2017-01-24T11:00:51Z
dc.date.issued2017
dc.identifier.issn0168-1605
dc.identifier.urihttp://hdl.handle.net/10459.1/59083
dc.description.abstractThe objective of the present study was to assess the differences in modeled growth/AFB1 production probability and kinetic growth parameters for Aspergillus flavus inoculated as single spores or in a concentrated inoculation point (~500 spores). The experiment was carried out at 25 °C and at two water activities (0.85 and 0.87) on pistachio extract agar (3%). Binary data obtained from growth and AFB1 studies were modeled using linear logistic regression analysis. The radial growth curve for each colonywas fitted to a linear model for the estimation of the lag phase for growth and the mycelial growth rate. In general, radial growth rate and lag phase for growth were not normally distributed and both of them were affected by the inoculation type, with the lag phase for growth being more affected. Changing from the multiple spore to the single spore inoculation led to a delay of approximately 3–5 days on the lag phase and higher growth rates for the multiple spore experiment were found. The same trend was observed on the probability models, with lower predicted probabilities when colonies came up from single spores, for both growth and AFB1 production probabilities. Comparing both types of models, it was concluded that a clear overestimation of the lag phase for growth occurred using the linear model, but only in the multiple spore experiment. Multiple spore inoculum gave very similar estimated time to reach some set probabilities (t10, t50 and t100) for growth or AFB1 production due to the abruptness of the logistic curve developed. The observed differences suggest that inoculum concentration greatly affects the outcome of the predictive models, the estimated times to growth/AFB1 production being much earlier for the concentrated inoculum than for a single spore colony (up to 9 days). Thus the number of spores used to generate data in predictive mycology experiments should be carefully controlled in order to predict as accurately as possible the fungal behavior in a foodstuff.ca_ES
dc.description.sponsorshipThe authors are grateful to the Agència de Gestió d’Ajuts Universitaris i de Recerca de la Generalitat de Catalunya (AGAUR, grant 2014FI_B 00045), and to the Spanish Ministry of Economy and Competitiveness (MINECO, Project AGL2014-55379-P) for funding this work.ca_ES
dc.language.isoengca_ES
dc.publisherElsevierca_ES
dc.relationMINECO/PN2013-2016/AGL2014-55379-P
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.1016/j.ijfoodmicro.2016.11.026ca_ES
dc.relation.ispartofInternational Journal of Food Microbiology, 2017, vol. 243, p. 28–35ca_ES
dc.rights(c) Elsevier B.V., 2016ca_ES
dc.subjectInoculumca_ES
dc.subjectPredictive modelsca_ES
dc.subjectProbabilityca_ES
dc.subjectLogistic regressionca_ES
dc.titleSingle vs multiple-spore inoculum effect on growth kinetic parameters and modeled probabilities of growth and aflatoxin B1 production of Aspergillus flavus on pistachio extract agarca_ES
dc.typearticleca_ES
dc.identifier.idgrec025100
dc.type.versionpublishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_ES
dc.identifier.doihttps://doi.org/10.1016/j.ijfoodmicro.2016.11.026
dc.date.embargoEndDate10000-01-01


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