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Modeling the effects of temperature and pH on the resistance of Alicyclobacillus acidoterrestris in conventional heat-treated fruit beverages through a meta-analysis approach

dc.contributor.authorSilva, Leonardo P.
dc.contributor.authorGonzales-Barron, Ursula
dc.contributor.authorCadavez, Vasco
dc.contributor.authorSant'Ana, Anderson S.
dc.date.accessioned2018-02-19T10:00:00Z
dc.date.accessioned2018-03-01T16:04:54Z
dc.date.accessioned2018-03-05T09:18:41Z
dc.date.available2018-01-19T10:00:00Z
dc.date.available2018-03-01T16:04:54Z
dc.date.available2018-03-05T09:18:41Z
dc.date.issued2015
dc.description.abstractIn this work, all publicly-accessible published findings on Alicyclobacillus acidoterrestris heat resistance in fruit beverages as affected by temperature and pH were compiled. Then, study characteristics (protocols, fruit and variety, °Brix, pH, temperature, heating medium, culture medium, inactivation method, strains, etc.) were extracted from the primary studies, and some of them incorporated to a meta-analysis mixed-effects linear model based on the basic Bigelow equation describing the heat resistance parameters of this bacterium. The model estimated mean D* values (time needed for one log reduction at a temperature of 95°C and a pH of 3.5) of Alicyclobacillus in beverages of different fruits, two different concentration types, with and without bacteriocins, and with and without clarification. The z T (temperature change needed to cause one log reduction in D-values) estimated by the meta-analysis model were compared to those ('observed' z T values) reported in the primary studies, and in all cases they were within the confidence intervals of the model. The model was capable of predicting the heat resistance parameters of Alicyclobacillus in fruit beverages beyond the types available in the meta-analytical data. It is expected that the compilation of the thermal resistance of Alicyclobacillus in fruit beverages, carried out in this study, will be of utility to food quality managers in the determination or validation of the lethality of their current heat treatment processes.en_EN
dc.description.sponsorshipA.S. Sant'Ana and L.P. Silva are indebted to the financial support provided by CAPES, CNPq and FAPESP. Dr. Gonzales-Barron wishes to acknowledge the financial support provided by the Portuguese Foundation for Science and Technology (FCT) through the award of a five-year Investigator Fellowship (IF) in the mode of Development Grants (IF/00570).
dc.description.versioninfo:eu-repo/semantics/publishedVersionen_EN
dc.identifier.citationSilva, Leonardo P.; Gonzales-Barron, Ursula; Cadavez, Vasco; Sant'Ana, Anderson S. (2015). Modeling the effects of temperature and pH on the resistance of Alicyclobacillus acidoterrestris in conventional heat-treated fruit beverages through a meta-analysis approach. Food Microbiology. ISSN 0740-0020. 46, p. 541-552en_EN
dc.identifier.doi10.1016/j.fm.2014.09.019en_EN
dc.identifier.issn0740-0020
dc.identifier.urihttp://hdl.handle.net/10198/16115
dc.language.isoeng
dc.peerreviewedyesen_EN
dc.subjectBigelowen_EN
dc.subjectD-valueen_EN
dc.subjectJuiceen_EN
dc.subjectMixed linear modelen_EN
dc.subjectPasteurizationen_EN
dc.subjectSecondary modelen_EN
dc.subjectZ-valueen_EN
dc.titleModeling the effects of temperature and pH on the resistance of Alicyclobacillus acidoterrestris in conventional heat-treated fruit beverages through a meta-analysis approachen_EN
dc.typejournal article
dspace.entity.typePublication
person.familyNameGonzales-Barron
person.familyNameCadavez
person.givenNameUrsula
person.givenNameVasco
person.identifierR-000-HDG
person.identifier.ciencia-id0813-C319-B62A
person.identifier.ciencia-id441B-01AB-A12E
person.identifier.orcid0000-0002-8462-9775
person.identifier.orcid0000-0002-3077-7414
person.identifier.ridA-3958-2010
person.identifier.scopus-author-id9435483700
person.identifier.scopus-author-id9039121900
rcaap.rightsopenAccessen_EN
rcaap.typearticleen_EN
relation.isAuthorOfPublication17c6b98f-4fb5-41d3-839a-6f77ec70021a
relation.isAuthorOfPublication57b410e9-f6b7-42ff-ab3d-b526278715eb
relation.isAuthorOfPublication.latestForDiscovery57b410e9-f6b7-42ff-ab3d-b526278715eb

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