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Predictive growth modeling of Yersinia enterocolitica in fresh kimchi cabbage brassica pekinensis as a function of storage temperature
We developed a predictive growth model of Yersinia enterocolitica for fresh Kimchi cabbages as a function of storage temperature (5–20 °C). The Baranyi equation used for primary modeling at these storage temperatures was suitable as a model for obtaining lag time (LT) and specific growth rate (SGR)...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362127/ https://www.ncbi.nlm.nih.gov/pubmed/37483713 http://dx.doi.org/10.1016/j.heliyon.2023.e17978 |
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author | Park, Sung-Hee Kim, Ji Yoon Kim, Eun Hae Min, Sung Gi Park, Shin Young |
author_facet | Park, Sung-Hee Kim, Ji Yoon Kim, Eun Hae Min, Sung Gi Park, Shin Young |
author_sort | Park, Sung-Hee |
collection | PubMed |
description | We developed a predictive growth model of Yersinia enterocolitica for fresh Kimchi cabbages as a function of storage temperature (5–20 °C). The Baranyi equation used for primary modeling at these storage temperatures was suitable as a model for obtaining lag time (LT) and specific growth rate (SGR) (R(2) = 0.97–0.98). As the temperature increased, the growth of Y. enterocolitica tended to increase, with SGR values of 0.33, 0.40, 0.60 and 0.68 log colony-forming units/h at 8, 11, and 15 °C, and LT values of 5.63, 3.54, 2.23 and 1.09 h, respectively. The secondary model was determined by the non-linear regression analysis. The suitability of the modeling results for the SGR and LT value was verified by determining the mean square error (<0.01), bias factor (0.919–0.999), and accuracy factor (1.032–1.136). The predicted models can be used to predict the growth of Y. enterocolitica in Kimchi cabbage at various temperatures and as an effective tool for maintaining the safe level of Y. enterocolitica in the production, processing, and distribution of fresh agricultural products. |
format | Online Article Text |
id | pubmed-10362127 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-103621272023-07-23 Predictive growth modeling of Yersinia enterocolitica in fresh kimchi cabbage brassica pekinensis as a function of storage temperature Park, Sung-Hee Kim, Ji Yoon Kim, Eun Hae Min, Sung Gi Park, Shin Young Heliyon Research Article We developed a predictive growth model of Yersinia enterocolitica for fresh Kimchi cabbages as a function of storage temperature (5–20 °C). The Baranyi equation used for primary modeling at these storage temperatures was suitable as a model for obtaining lag time (LT) and specific growth rate (SGR) (R(2) = 0.97–0.98). As the temperature increased, the growth of Y. enterocolitica tended to increase, with SGR values of 0.33, 0.40, 0.60 and 0.68 log colony-forming units/h at 8, 11, and 15 °C, and LT values of 5.63, 3.54, 2.23 and 1.09 h, respectively. The secondary model was determined by the non-linear regression analysis. The suitability of the modeling results for the SGR and LT value was verified by determining the mean square error (<0.01), bias factor (0.919–0.999), and accuracy factor (1.032–1.136). The predicted models can be used to predict the growth of Y. enterocolitica in Kimchi cabbage at various temperatures and as an effective tool for maintaining the safe level of Y. enterocolitica in the production, processing, and distribution of fresh agricultural products. Elsevier 2023-07-05 /pmc/articles/PMC10362127/ /pubmed/37483713 http://dx.doi.org/10.1016/j.heliyon.2023.e17978 Text en © 2023 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Article Park, Sung-Hee Kim, Ji Yoon Kim, Eun Hae Min, Sung Gi Park, Shin Young Predictive growth modeling of Yersinia enterocolitica in fresh kimchi cabbage brassica pekinensis as a function of storage temperature |
title | Predictive growth modeling of Yersinia enterocolitica in fresh kimchi cabbage brassica pekinensis as a function of storage temperature |
title_full | Predictive growth modeling of Yersinia enterocolitica in fresh kimchi cabbage brassica pekinensis as a function of storage temperature |
title_fullStr | Predictive growth modeling of Yersinia enterocolitica in fresh kimchi cabbage brassica pekinensis as a function of storage temperature |
title_full_unstemmed | Predictive growth modeling of Yersinia enterocolitica in fresh kimchi cabbage brassica pekinensis as a function of storage temperature |
title_short | Predictive growth modeling of Yersinia enterocolitica in fresh kimchi cabbage brassica pekinensis as a function of storage temperature |
title_sort | predictive growth modeling of yersinia enterocolitica in fresh kimchi cabbage brassica pekinensis as a function of storage temperature |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362127/ https://www.ncbi.nlm.nih.gov/pubmed/37483713 http://dx.doi.org/10.1016/j.heliyon.2023.e17978 |
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