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Comparison of primary models to predict microbial growth by the plate count and absorbance methods

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Comparison of primary models to predict microbial growth by the plate count and absorbance methods

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dc.contributor.author Pla-Ferrando, L es_ES
dc.contributor.author Oltra Crespo, Sandra es_ES
dc.contributor.author Esteban, María-Dolores es_ES
dc.contributor.author Andreu, Santiago es_ES
dc.contributor.author Palop, Alfredo es_ES
dc.date.accessioned 2016-06-16T12:28:14Z
dc.date.available 2016-06-16T12:28:14Z
dc.date.issued 2015-06
dc.identifier.issn 2314-6133
dc.identifier.uri http://hdl.handle.net/10251/66030
dc.description.abstract The selection of a primary model to describe microbial growth in predictive food microbiology often appears to be subjective. The objective of this research was to check the performance of different mathematical models in predicting growth parameters, both by absorbance and plate count methods. For this purpose, growth curves of three different microorganisms (Bacillus cereus, Listeria monocytogenes, and Escherichia coli) grown under the same conditions, but with different initial concentrations each, were analysed. When measuring the microbial growth of each microorganism by optical density, almost all models provided quite high goodness of fit (r(2) > 0.93) for all growth curves. The growth rate remained approximately constant for all growth curves of each microorganism, when considering one growth model, but differences were found among models. Three-phase linear model provided the lowest variation for growth rate values for all three microorganisms. Baranyimodel gave a variation marginally higher, despite a much better overall fitting. When measuring the microbial growth by plate count, similar results were obtained. These results provide insight into predictive microbiology and will help food microbiologists and researchers to choose the proper primary growth predictive model. es_ES
dc.description.sponsorship This research was financially supported by the Ministerio de Economia y Competitividad of the Spanish Government and Fondo Europeo de Desarrollo Regional (FEDER) through Projects AGL2010-19775 and AGL2013-48993-C2-1-R. en_EN
dc.language Inglés es_ES
dc.publisher Hindawi Publishing Corporation es_ES
dc.relation.ispartof BioMed Research International es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Optical-density data es_ES
dc.subject Listeria-monocytogenes es_ES
dc.subject Bacterial-growth es_ES
dc.subject Lag time es_ES
dc.subject Subletial injury es_ES
dc.subject Mathematical-models es_ES
dc.subject Inoculum size es_ES
dc.subject Phase es_ES
dc.subject Cultures es_ES
dc.subject Curves es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Comparison of primary models to predict microbial growth by the plate count and absorbance methods es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1155/2015/365025
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//AGL2010-19775/ES/APLICACION DE TRATAMIENTOS COMBINADOS DE CALOR Y ANTIMICROBIANOS NATURALES EN FLUJO CONTINUO A ALIMENTOS LIQUIDOS: OPTIMIZACION, VALIDACION Y VALORACION DEL RIESGO ASOCIADO/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//AGL2013-48993-C2-1-R/ES/VALIDACION DE TRATAMIENTOS TERMICOS SUAVES DE CONSERVACION DE ALIMENTOS: ESTABLECIMIENTO DE LA SEGURIDAD MICROBIOLOGICA/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Pla-Ferrando, L.; Oltra Crespo, S.; Esteban, M.; Andreu, S.; Palop, A. (2015). Comparison of primary models to predict microbial growth by the plate count and absorbance methods. BioMed Research International. 2015:1-14. https://doi.org/10.1155/2015/365025 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1155/2015/365025 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 14 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 2015 es_ES
dc.relation.senia 301287 es_ES
dc.identifier.eissn 2314-6141
dc.identifier.pmid 26539483 en_EN
dc.identifier.pmcid PMC4619785 en_EN
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES


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