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Probabilistic models to describe the effect of NaNO2 in combination with NaCl on the growth inhibition of Lactobacillus in frankfurters

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dc.contributor.authorLee, Soomin-
dc.contributor.authorLee, Heeyoung-
dc.contributor.authorKim, Sejeong-
dc.contributor.authorLee, Jeeyeon-
dc.contributor.authorHa, Jimyeong-
dc.contributor.authorGwak, Eunji-
dc.contributor.authorOh, Mi-Hwa-
dc.contributor.authorPark, Beom-Young-
dc.contributor.authorKim, Jin-Seok-
dc.contributor.authorChoi, Kyoung-Hee-
dc.contributor.authorYoon, Yohan-
dc.date.available2021-02-22T11:32:09Z-
dc.date.issued2015-12-
dc.identifier.issn0309-1740-
dc.identifier.issn1873-4138-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/10163-
dc.description.abstractProbabilistic models were developed to describe the antimicrobial effect of NaNO2 (0-210 ppm) in combination with NaCl (0-1.75%) on Lactobacillus growth under aerobic and anaerobic conditions. Growth (1) or no growth (0) was assessed every 24 h as turbid or not turbid, respectively. The growth response data were analyzed by logistic regression to select significant variables (P < 0.05) for Lactobacillus growth inhibition, and these variables were used to generate a probabilistic model. The model was then validated with observed data from frankfurters (a model system). NaNO2 and NaCl inhibited (P < 0.05) Lactobacillus growth at all temperatures under aerobic and anaerobic conditions, and the antimicrobial effect of NaNO2 increased as the NaCl concentration increased. Validation showed that the performance of the developed model was appropriate. These results indicate that the models developed in this study should be useful for describing the antimicrobial effect of NaNO2 in combination with NaCl on Lactobacillus. (C) 2015 Elsevier Ltd. All rights reserved.-
dc.format.extent8-
dc.language영어-
dc.language.isoENG-
dc.publisherELSEVIER SCI LTD-
dc.titleProbabilistic models to describe the effect of NaNO2 in combination with NaCl on the growth inhibition of Lactobacillus in frankfurters-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1016/j.meatsci.2015.05.023-
dc.identifier.scopusid2-s2.0-84943631384-
dc.identifier.wosid000363827700040-
dc.identifier.bibliographicCitationMEAT SCIENCE, v.110, pp 302 - 309-
dc.citation.titleMEAT SCIENCE-
dc.citation.volume110-
dc.citation.startPage302-
dc.citation.endPage309-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasssci-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaFood Science & Technology-
dc.relation.journalWebOfScienceCategoryFood Science & Technology-
dc.subject.keywordPlusLISTERIA-MONOCYTOGENES-
dc.subject.keywordPlusTEMPERATURE-
dc.subject.keywordPlusSALMONELLA-
dc.subject.keywordPlusNITRITE-
dc.subject.keywordPlusSAFETY-
dc.subject.keywordPlusMEAT-
dc.subject.keywordAuthorNaCl-
dc.subject.keywordAuthorNaNO2-
dc.subject.keywordAuthormeat spoilage-
dc.subject.keywordAuthorLactobacillus-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/abs/pii/S0309174015300231?via%3Dihub-
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생활과학대학 > 식품영양학과 > 1. Journal Articles
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