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Quantitative microbial risk assessment of Campylobacter jejuni in jerky in Koreaopen access

Authors
Ha, JimyeongLee, HeeyoungKim, SejeongLee, JeeyeonLee, SoominChoi, YukyungOh, HyeminYoon, Yohan
Issue Date
Feb-2019
Publisher
ASIAN-AUSTRALASIAN ASSOC ANIMAL PRODUCTION SOC
Keywords
Campylobacter jejuni; Jerky; Quantitative Microbial Risk Assessment
Citation
ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES, v.32, no.2, pp.274 - 281
Journal Title
ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES
Volume
32
Number
2
Start Page
274
End Page
281
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/3827
DOI
10.5713/ajas.18.0322
ISSN
1011-2367
Abstract
Objective: The objective of this study was to estimate the risk of Campylobacter jejuni (C. jejuni) infection from various jerky products in Korea. Methods: For the exposure assessment, the prevalence and predictive models of C. jejuni in the jerky and the temperature and time of the distribution and storage were investigated. In addition, the consumption amounts and frequencies of the products were also investigated. The data for C. jejuni for the prevalence, distribution temperature, distribution time, consumption amount, and consumption frequency were fitted with the @RISK fitting program to obtain appropriate probabilistic distributions. Subsequently, the dose-response models for Campylobacter were researched in the literature. Eventually, the distributions, predictive model, and dose-response model were used to make a simulation model with @RISK to estimate the risk of C. jejuni foodborne illness from the intake of jerky. Results: Among 275 jerky samples, there were no C. jejuni positive samples, and thus, the initial contamination level was statistically predicted with the RiskUniform distribution [RiskUniform (-2, 0.48)]. To describe the changes in the C. jejuni cell counts during distribution and storage, the developed predictive models with the Weibull model (primary model) and polynomial model (secondary model) were utilized. The appropriate probabilistic distribution was the BetaGeneral distribution, and it showed that the average jerky consumption was 51.83 g/d with a frequency of 0.61%. The developed simulation model from this data series and the dose-response model (Beta Poisson model) showed that the risk of C. jejuni foodborne illness per day per person from jerky consumption was 1.56x10(-12). Conclusion: This result suggests that the risk of C. jejuni in jerky could be considered low in Korea.
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