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Quantitative Microbial Risk Assessment for Clostridium perfringens in Natural and Processed Cheeses

This study evaluated the risk of Clostridium perfringens (C. perfringens) foodborne illness from natural and processed cheeses. Microbial risk assessment in this study was conducted according to four steps: hazard identification, hazard characterization, exposure assessment, and risk characterizatio...

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Detalles Bibliográficos
Autores principales: Lee, Heeyoung, Lee, Soomin, Kim, Sejeong, Lee, Jeeyeon, Ha, Jimyeong, Yoon, Yohan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST) 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4932574/
https://www.ncbi.nlm.nih.gov/pubmed/26954204
http://dx.doi.org/10.5713/ajas.15.1007
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author Lee, Heeyoung
Lee, Soomin
Kim, Sejeong
Lee, Jeeyeon
Ha, Jimyeong
Yoon, Yohan
author_facet Lee, Heeyoung
Lee, Soomin
Kim, Sejeong
Lee, Jeeyeon
Ha, Jimyeong
Yoon, Yohan
author_sort Lee, Heeyoung
collection PubMed
description This study evaluated the risk of Clostridium perfringens (C. perfringens) foodborne illness from natural and processed cheeses. Microbial risk assessment in this study was conducted according to four steps: hazard identification, hazard characterization, exposure assessment, and risk characterization. The hazard identification of C. perfringens on cheese was identified through literature, and dose response models were utilized for hazard characterization of the pathogen. For exposure assessment, the prevalence of C. perfringens, storage temperatures, storage time, and annual amounts of cheese consumption were surveyed. Eventually, a simulation model was developed using the collected data and the simulation result was used to estimate the probability of C. perfringens foodborne illness by cheese consumption with @RISK. C. perfringens was determined to be low risk on cheese based on hazard identification, and the exponential model (r = 1.82×10(−11)) was deemed appropriate for hazard characterization. Annual amounts of natural and processed cheese consumption were 12.40±19.43 g and 19.46±14.39 g, respectively. Since the contamination levels of C. perfringens on natural (0.30 Log CFU/g) and processed cheeses (0.45 Log CFU/g) were below the detection limit, the initial contamination levels of natural and processed cheeses were estimated by beta distribution (α(1) = 1, α(2) = 91; α(1) = 1, α(2) = 309)×uniform distribution (a = 0, b = 2; a = 0, b = 2.8) to be −2.35 and −2.73 Log CFU/g, respectively. Moreover, no growth of C. perfringens was observed for exposure assessment to simulated conditions of distribution and storage. These data were used for risk characterization by a simulation model, and the mean values of the probability of C. perfringens foodborne illness by cheese consumption per person per day for natural and processed cheeses were 9.57×10(−14) and 3.58×10(−14), respectively. These results indicate that probability of C. perfringens foodborne illness by consumption cheese is low, and it can be used to establish microbial criteria for C. perfringens on natural and processed cheeses.
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spelling pubmed-49325742016-08-01 Quantitative Microbial Risk Assessment for Clostridium perfringens in Natural and Processed Cheeses Lee, Heeyoung Lee, Soomin Kim, Sejeong Lee, Jeeyeon Ha, Jimyeong Yoon, Yohan Asian-Australas J Anim Sci Article This study evaluated the risk of Clostridium perfringens (C. perfringens) foodborne illness from natural and processed cheeses. Microbial risk assessment in this study was conducted according to four steps: hazard identification, hazard characterization, exposure assessment, and risk characterization. The hazard identification of C. perfringens on cheese was identified through literature, and dose response models were utilized for hazard characterization of the pathogen. For exposure assessment, the prevalence of C. perfringens, storage temperatures, storage time, and annual amounts of cheese consumption were surveyed. Eventually, a simulation model was developed using the collected data and the simulation result was used to estimate the probability of C. perfringens foodborne illness by cheese consumption with @RISK. C. perfringens was determined to be low risk on cheese based on hazard identification, and the exponential model (r = 1.82×10(−11)) was deemed appropriate for hazard characterization. Annual amounts of natural and processed cheese consumption were 12.40±19.43 g and 19.46±14.39 g, respectively. Since the contamination levels of C. perfringens on natural (0.30 Log CFU/g) and processed cheeses (0.45 Log CFU/g) were below the detection limit, the initial contamination levels of natural and processed cheeses were estimated by beta distribution (α(1) = 1, α(2) = 91; α(1) = 1, α(2) = 309)×uniform distribution (a = 0, b = 2; a = 0, b = 2.8) to be −2.35 and −2.73 Log CFU/g, respectively. Moreover, no growth of C. perfringens was observed for exposure assessment to simulated conditions of distribution and storage. These data were used for risk characterization by a simulation model, and the mean values of the probability of C. perfringens foodborne illness by cheese consumption per person per day for natural and processed cheeses were 9.57×10(−14) and 3.58×10(−14), respectively. These results indicate that probability of C. perfringens foodborne illness by consumption cheese is low, and it can be used to establish microbial criteria for C. perfringens on natural and processed cheeses. Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST) 2016-08 2016-02-12 /pmc/articles/PMC4932574/ /pubmed/26954204 http://dx.doi.org/10.5713/ajas.15.1007 Text en Copyright © 2016 by Asian-Australasian Journal of Animal Sciences This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Lee, Heeyoung
Lee, Soomin
Kim, Sejeong
Lee, Jeeyeon
Ha, Jimyeong
Yoon, Yohan
Quantitative Microbial Risk Assessment for Clostridium perfringens in Natural and Processed Cheeses
title Quantitative Microbial Risk Assessment for Clostridium perfringens in Natural and Processed Cheeses
title_full Quantitative Microbial Risk Assessment for Clostridium perfringens in Natural and Processed Cheeses
title_fullStr Quantitative Microbial Risk Assessment for Clostridium perfringens in Natural and Processed Cheeses
title_full_unstemmed Quantitative Microbial Risk Assessment for Clostridium perfringens in Natural and Processed Cheeses
title_short Quantitative Microbial Risk Assessment for Clostridium perfringens in Natural and Processed Cheeses
title_sort quantitative microbial risk assessment for clostridium perfringens in natural and processed cheeses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4932574/
https://www.ncbi.nlm.nih.gov/pubmed/26954204
http://dx.doi.org/10.5713/ajas.15.1007
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