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Contamination of Clostridium perfringens in soy sauce, and quantitative microbial risk assessment for C. perfringens through soy sauce consumption

The objective of this study was to conduct QMRA (quantitative microbial risk assessment) of Clostridium perfringens through soy sauce consumption. Four hundred and ninety soy sauce samples from markets were analyzed to detect C. perfringens. Temperature and time were also measured during transportat...

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Autores principales: Seo, Yeongeun, Lee, Yewon, Kim, Sejeong, Ha, Jimyeong, Choi, Yukyung, Oh, Hyemin, Kim, Yujin, Rhee, Min Suk, Yoon, Yohan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8020920/
https://www.ncbi.nlm.nih.gov/pubmed/33841830
http://dx.doi.org/10.1002/fsn3.2182
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author Seo, Yeongeun
Lee, Yewon
Kim, Sejeong
Ha, Jimyeong
Choi, Yukyung
Oh, Hyemin
Kim, Yujin
Rhee, Min Suk
Yoon, Yohan
author_facet Seo, Yeongeun
Lee, Yewon
Kim, Sejeong
Ha, Jimyeong
Choi, Yukyung
Oh, Hyemin
Kim, Yujin
Rhee, Min Suk
Yoon, Yohan
author_sort Seo, Yeongeun
collection PubMed
description The objective of this study was to conduct QMRA (quantitative microbial risk assessment) of Clostridium perfringens through soy sauce consumption. Four hundred and ninety soy sauce samples from markets were analyzed to detect C. perfringens. Temperature and time were also measured during transportation and display of soy sauce. A primary model was developed by fitting the Weibull model to the C. perfringens cell counts in soy sauce at 7–35°C, and δ (the time needed to decrease 1 log CFU/ml) and ρ (curve shape) were calculated. The parameters were analyzed, using the Exponential model (secondary model) as a function of temperature. The consumption amount and percentage of soy sauce were surveyed, and a dose‐response model was searched. Using all collected data, a simulation model was prepared in the @RISK program to estimate the probability of C. perfringens foodborne illness by soy sauce consumption. C. perfringens were negative in 490 samples. Thus, the initial contamination level was estimated to be −2.9 log CFU/ml. The developed predictive models showed that C. perfringens cell counts decreased during transportation and display. The average consumption amounts, and the percentage of soy sauce were 7.81 ml and 81.2%, respectively. The simulation showed that the probability of C. perfringens foodborne illness by consumption of soy sauce was 1.7 × 10(–16) per person per day. Therefore, the risk of C. perfringens by consumption of soy sauce is low in Korea.
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spelling pubmed-80209202021-04-08 Contamination of Clostridium perfringens in soy sauce, and quantitative microbial risk assessment for C. perfringens through soy sauce consumption Seo, Yeongeun Lee, Yewon Kim, Sejeong Ha, Jimyeong Choi, Yukyung Oh, Hyemin Kim, Yujin Rhee, Min Suk Yoon, Yohan Food Sci Nutr Original Research The objective of this study was to conduct QMRA (quantitative microbial risk assessment) of Clostridium perfringens through soy sauce consumption. Four hundred and ninety soy sauce samples from markets were analyzed to detect C. perfringens. Temperature and time were also measured during transportation and display of soy sauce. A primary model was developed by fitting the Weibull model to the C. perfringens cell counts in soy sauce at 7–35°C, and δ (the time needed to decrease 1 log CFU/ml) and ρ (curve shape) were calculated. The parameters were analyzed, using the Exponential model (secondary model) as a function of temperature. The consumption amount and percentage of soy sauce were surveyed, and a dose‐response model was searched. Using all collected data, a simulation model was prepared in the @RISK program to estimate the probability of C. perfringens foodborne illness by soy sauce consumption. C. perfringens were negative in 490 samples. Thus, the initial contamination level was estimated to be −2.9 log CFU/ml. The developed predictive models showed that C. perfringens cell counts decreased during transportation and display. The average consumption amounts, and the percentage of soy sauce were 7.81 ml and 81.2%, respectively. The simulation showed that the probability of C. perfringens foodborne illness by consumption of soy sauce was 1.7 × 10(–16) per person per day. Therefore, the risk of C. perfringens by consumption of soy sauce is low in Korea. John Wiley and Sons Inc. 2021-02-19 /pmc/articles/PMC8020920/ /pubmed/33841830 http://dx.doi.org/10.1002/fsn3.2182 Text en © 2021 The Authors. Food Science & Nutrition published by Wiley Periodicals LLC This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Seo, Yeongeun
Lee, Yewon
Kim, Sejeong
Ha, Jimyeong
Choi, Yukyung
Oh, Hyemin
Kim, Yujin
Rhee, Min Suk
Yoon, Yohan
Contamination of Clostridium perfringens in soy sauce, and quantitative microbial risk assessment for C. perfringens through soy sauce consumption
title Contamination of Clostridium perfringens in soy sauce, and quantitative microbial risk assessment for C. perfringens through soy sauce consumption
title_full Contamination of Clostridium perfringens in soy sauce, and quantitative microbial risk assessment for C. perfringens through soy sauce consumption
title_fullStr Contamination of Clostridium perfringens in soy sauce, and quantitative microbial risk assessment for C. perfringens through soy sauce consumption
title_full_unstemmed Contamination of Clostridium perfringens in soy sauce, and quantitative microbial risk assessment for C. perfringens through soy sauce consumption
title_short Contamination of Clostridium perfringens in soy sauce, and quantitative microbial risk assessment for C. perfringens through soy sauce consumption
title_sort contamination of clostridium perfringens in soy sauce, and quantitative microbial risk assessment for c. perfringens through soy sauce consumption
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8020920/
https://www.ncbi.nlm.nih.gov/pubmed/33841830
http://dx.doi.org/10.1002/fsn3.2182
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