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Probabilistic Models to Predict the Growth Initiation Time for Pseudomonas spp. in Processed Meats Formulated with NaCl and NaNO(2)

This study developed probabilistic models to determine the initiation time of growth of Pseudomonas spp. in combinations with NaNO(2) and NaCl concentrations during storage at different temperatures. The combination of 8 NaCl concentrations (0, 0.25, 0.5, 0.75, 1, 1.25, 1.5, and 1.75%) and 9 NaNO(2)...

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Detalles Bibliográficos
Autores principales: Jo, Hyunji, Park, Beomyoung, Oh, Mihwa, Gwak, Eunji, Lee, Heeyoung, Lee, Soomin, Yoon, Yohan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society for Food Science of Animal Resources 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4662186/
https://www.ncbi.nlm.nih.gov/pubmed/26761668
http://dx.doi.org/10.5851/kosfa.2014.34.6.736
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author Jo, Hyunji
Park, Beomyoung
Oh, Mihwa
Gwak, Eunji
Lee, Heeyoung
Lee, Soomin
Yoon, Yohan
author_facet Jo, Hyunji
Park, Beomyoung
Oh, Mihwa
Gwak, Eunji
Lee, Heeyoung
Lee, Soomin
Yoon, Yohan
author_sort Jo, Hyunji
collection PubMed
description This study developed probabilistic models to determine the initiation time of growth of Pseudomonas spp. in combinations with NaNO(2) and NaCl concentrations during storage at different temperatures. The combination of 8 NaCl concentrations (0, 0.25, 0.5, 0.75, 1, 1.25, 1.5, and 1.75%) and 9 NaNO(2) concentrations (0, 15, 30, 45, 60, 75, 90, 105, and 120 ppm) were prepared in a nutrient broth. The medium was placed in the wells of 96-well microtiter plates, followed by inoculation of a five-strain mixture of Pseudomonas in each well. All microtiter plates were incubated at 4, 7, 10, 12, and 15℃ for 528, 504, 504, 360 and 144 h, respectively. Growth (growth initiation; GI) or no growth was then determined by turbidity every 24 h. These growth response data were analyzed by a logistic regression to produce growth/no growth interface of Pseudomonas spp. and to calculate GI time. NaCl and NaNO(2) were significantly effective (p<0.05) on inhibiting Pseudomonas spp. growth when stored at 4-12℃. The developed model showed that at lower NaCl concentration, higher NaNO(2) level was required to inhibit Pseudomonas growth at 4-12℃. However, at 15℃, there was no significant effect of NaCl and NaNO(2). The model overestimated GI times by 58.2±17.5 to 79.4±11%. These results indicate that the probabilistic models developed in this study should be useful in calculating the GI times of Pseudomonas spp. in combination with NaCl and NaNO(2) concentrations, considering the over-prediction percentage.
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spelling pubmed-46621862016-01-04 Probabilistic Models to Predict the Growth Initiation Time for Pseudomonas spp. in Processed Meats Formulated with NaCl and NaNO(2) Jo, Hyunji Park, Beomyoung Oh, Mihwa Gwak, Eunji Lee, Heeyoung Lee, Soomin Yoon, Yohan Korean J Food Sci Anim Resour Article This study developed probabilistic models to determine the initiation time of growth of Pseudomonas spp. in combinations with NaNO(2) and NaCl concentrations during storage at different temperatures. The combination of 8 NaCl concentrations (0, 0.25, 0.5, 0.75, 1, 1.25, 1.5, and 1.75%) and 9 NaNO(2) concentrations (0, 15, 30, 45, 60, 75, 90, 105, and 120 ppm) were prepared in a nutrient broth. The medium was placed in the wells of 96-well microtiter plates, followed by inoculation of a five-strain mixture of Pseudomonas in each well. All microtiter plates were incubated at 4, 7, 10, 12, and 15℃ for 528, 504, 504, 360 and 144 h, respectively. Growth (growth initiation; GI) or no growth was then determined by turbidity every 24 h. These growth response data were analyzed by a logistic regression to produce growth/no growth interface of Pseudomonas spp. and to calculate GI time. NaCl and NaNO(2) were significantly effective (p<0.05) on inhibiting Pseudomonas spp. growth when stored at 4-12℃. The developed model showed that at lower NaCl concentration, higher NaNO(2) level was required to inhibit Pseudomonas growth at 4-12℃. However, at 15℃, there was no significant effect of NaCl and NaNO(2). The model overestimated GI times by 58.2±17.5 to 79.4±11%. These results indicate that the probabilistic models developed in this study should be useful in calculating the GI times of Pseudomonas spp. in combination with NaCl and NaNO(2) concentrations, considering the over-prediction percentage. Korean Society for Food Science of Animal Resources 2014 2014-12-31 /pmc/articles/PMC4662186/ /pubmed/26761668 http://dx.doi.org/10.5851/kosfa.2014.34.6.736 Text en Copyright © 2014, Korean Society for Food Science of Animal Resources http://creativecommons.org/licences/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licences/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Jo, Hyunji
Park, Beomyoung
Oh, Mihwa
Gwak, Eunji
Lee, Heeyoung
Lee, Soomin
Yoon, Yohan
Probabilistic Models to Predict the Growth Initiation Time for Pseudomonas spp. in Processed Meats Formulated with NaCl and NaNO(2)
title Probabilistic Models to Predict the Growth Initiation Time for Pseudomonas spp. in Processed Meats Formulated with NaCl and NaNO(2)
title_full Probabilistic Models to Predict the Growth Initiation Time for Pseudomonas spp. in Processed Meats Formulated with NaCl and NaNO(2)
title_fullStr Probabilistic Models to Predict the Growth Initiation Time for Pseudomonas spp. in Processed Meats Formulated with NaCl and NaNO(2)
title_full_unstemmed Probabilistic Models to Predict the Growth Initiation Time for Pseudomonas spp. in Processed Meats Formulated with NaCl and NaNO(2)
title_short Probabilistic Models to Predict the Growth Initiation Time for Pseudomonas spp. in Processed Meats Formulated with NaCl and NaNO(2)
title_sort probabilistic models to predict the growth initiation time for pseudomonas spp. in processed meats formulated with nacl and nano(2)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4662186/
https://www.ncbi.nlm.nih.gov/pubmed/26761668
http://dx.doi.org/10.5851/kosfa.2014.34.6.736
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