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http://dx.doi.org/10.13103/JFHS.2020.35.1.51

Quantitative Microbial Risk Assessment of Pathogenic Vibrio through Sea Squirt Consumption in Korea  

Ha, Jimyeong (Risk Analysis Research Center, Sookmyung Women's University)
Lee, Jeeyeon (Risk Analysis Research Center, Sookmyung Women's University)
Oh, Hyemin (Department of Food and Nutrition, Sookmyung Women's University)
Shin, Il-Shik (Department of Marine Food Science and Technology, Gangneung-Wonju National University)
Kim, Young-Mog (Department of Food Science and Technology/Institute of Food Science, Pukyong National University)
Park, Kwon-Sam (Department of Food Science and Biotechnology, Kunsan National University)
Yoon, Yohan (Risk Analysis Research Center, Sookmyung Women's University)
Publication Information
Journal of Food Hygiene and Safety / v.35, no.1, 2020 , pp. 51-59 More about this Journal
Abstract
This study evalutated the risk of foodborne illness from Vibrio spp. (Vibrio vulnificus and Vibrio cholerae) through sea squirt consumption. The prevalence of V. vulnificus and V. cholerae in sea squirt was evaluated, and the predictive models to describe the kinetic behavior of the Vibrio in sea squirt were developed. Distribution temperatures and times were collected, and they were fitted to probabilistic distributions to determine the appropriate distributions. The raw data from the Korea National Health and Nutrition Examination Survey 2016 were used to estimate the consumption rates and amount of sea squirt. In the hazard characterization, the Beta-Poisson model for V. vulnificus and V. cholerae infection was used. With the collected data, a simulation model was prepared and it was run with @RISK to estimate probabilities of foodborne illness by pathogenic Vibrio spp. through sea squirt consumption. Among 101 sea squirt samples, there were no V. vulnificus positive samples, but V. cholerae was detected in one sample. The developed predictive models described the fates of Vibrio spp. in sea squirt during distribution and storage, appropriately shown as 0.815-0.907 of R2 and 0.28 of RMSE. The consumption rate of sea squirt was 0.26%, and the daily consumption amount was 68.84 g per person. The Beta-Poisson model [P=1-(1+Dose/β)] was selected as a dose-response model. With these data, a simulation model was developed, and the risks of V. vulnificus and V. cholerae foodborne illness from sea squirt consumption were 2.66×10-15, and 1.02×10-12, respectively. These results suggest that the risk of pathogenic Vibrio spp. in sea squirt could be considered low in Korea.
Keywords
Vibrio vulnificus; Vibrio cholerae; Sea squirt; Risk assessment; Predictive model;
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Times Cited By KSCI : 8  (Citation Analysis)
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1 Tao, Z., Larsen, A.M., Bullard, S.A., Wright, A.C., Arias, C.R., Prevalence and population structure of Vibrio vulnificus on fishes from the northern Gulf of Mexico. Appl. Environ. Microbiol., 78, 7611-7618 (2012).   DOI
2 Strom, M.S., Paranjpye, R.N., Epidemiology and pathogenesis of Vibrio vulnificus. Microbe. Infect., 2, 177-188 (2000).   DOI
3 Park, J.J., Lee, M.L., Hwang, H.J., Cha, M.S., Vibrio species isolated from clinical specimens. Korean J. Clin. Lab. Sci., 27, 236-243 (1995).
4 Korea Centers for Disease Control and Prevention, 2017. Epidemiological investigation of infectious diseases in Korea. Annual report 2016. Cheongju, Korea. pp. 29-32.
5 Kaspar, C.A., Tamplin, M.L., Effects of temperature and salinity on the survival of Vibrio vulnificus in seawater and shellfish. Appl. Environ. Microbiol., 59, 2425-2429 (1993).   DOI
6 Food and Agriculture Organization/World Health Organization, 2005. Risk assessment of Vibrio vulnificus in raw oysters: interpretative summary and technical report (Vol. 8). Food & Agriculture Org. Geneva, Switzerland, pp. 21-26.
7 Cash, A., Music, S.I., Libonati, J.P., Snyder, M.J., Wenzel, R.P., Hornick, R.B., Response of man to infection with Vibrio cholerae. I. Clinical, serologic, and bacteriologic responses to a known inoculum. J. Infect. Dis., 129, 45-52 (1974).   DOI
8 Food and Agriculture Organization/World Health Organization, 2005. Risk assessment of choleragenic Vibrio cholerae O1 and O139 in warm water shrimp for international trade: interpretative summary and technical report. Geneva, Switzerland, pp. 47-49.
9 Vose, D., 1996. Quantitative Risk Analysis. A Guide to Monte Carlo Simulation Modelling. Chichester. Hoboken, United States.
10 Sanaa, M., Coroller, L., Cerf, O., Risk assessment of listeriosis linked to the consumption of two soft cheeses made from raw milk: Camembert of Normandy and Brie of Meaux. Risk Anal., 24, 389-399 (2004).   DOI
11 Baranyi, J., Roberts, A., dynamic approach to predicting bacterial growth in food. Int. J. Food Microbiol., 23, 277-94 (1994).   DOI
12 Korea Center for Disease Control and Prevention, (2020, January 19). Korea health statistics 2016, Retrieved from https://knhanes.cdc.go.kr/knhanes/sub03/sub03_02_02.do
13 Barrett, K.A., Nakao, J.H., Taylor, E.V., Eggers, C., Gould, L.H., Fish-associated foodborne disease outbreaks: United States, 1998-2015. Foodborne Pathog. Dis., 14, 537-543 (2017).   DOI
14 Kim, S.H., Sin, Y.M., Lee, M.J., Shin, P.K., Kim, M.C., Cho, J.S., Lee, C.H., Lee, Y.J., Chae, K.R., Isolation of major foodborne pathogenic bacteria from ready-to-eat seafoods and its reduction strategy. J. Life Sci., 15, 941-947 (2005).   DOI
15 Gram, L., Dalgaard, P., Fish spoilage bacteria-problems and solutions. Curr. Opin. Biotechnol., 13, 262-266 (2002).   DOI
16 Noh, B.Y., Hwang, S.H., Cho, Y.S., Microbial contamination levels in Porphyra sp. Distributed in Korea. Korean J. Fish Aquat. Sci., 52, 180-184 (2019).   DOI
17 Ministry of Food and Drug Safety, 2009. Risk assessment of Vibrio parahaemolyticus in fishery products. Cheongju, Korea. pp. 92-98.
18 Koh, Y.J., Jang, J.S., Relationships of pathogenic Vibrios and environmental factors affecting their occurrence in the seawater of Incheon coastal area. Korean J. Food Nutr., 26, 414-420 (2013).   DOI
19 Liu, H., Srinivas, S., He, H., Gong, G., Dai, C., Feng, Y., Chen, X., Wang, S., Quorum sensing in Vibrio and its relevance to bacterial virulence. J. Bacteriol. Parasitol., 4, 1-6 (2013).   DOI
20 Korea Centers for Disease Control and Prevention, (2019, December 30). Infectious disease portal, Disease statistics. Retrieved from http://www.cdc.go.kr/npt/biz/npp/ist/bass/bassDiss StatsMain.do
21 Bae, I.G., Epidemiology, management, and prevention of cholera. J. Korean Med. Assoc., 60, 140-146 (2017).   DOI
22 Codex Alimentarius Commission, 2015. Procedural manual. 24th edWorld Health Organization/Food and Agricultural Organization of the United Nations. Rome, Italy. pp.128-241.
23 Lee, J., Lee, H., Lee, S., Kim, S., Ha, J., Choi, Y., Oh, H., Kim, Y., Lee, Y., Yoon, K.S., Seo, K., Yoon, Y., Quantitative microbial risk assessment for Campylobacter jejuni in ground meat products in Korea. Food Sci. Anim. Resour., 39, 565-575 (2019).   DOI
24 Ministry of Food and Drug Safety, (2019, December 30). Korea food code. Retrieved from https://www. foodsafetykorea.go.kr/foodcode/01_03.jsp?idx=12
25 Ha, J., Lee, J., Lee, S., Kim, S., Choi, Y., Oh, H., Kim, Y., Lee, Y., Seo, Y., Yoon, Y., Mathematical models to describe the kinetic behavior of Staphylococcus aureus in jerky. Food Sci. Anim. Resour., 39, 371-378 (2019).   DOI
26 Baranyi, J., Ross, T., McMeekin, T.A., Roberts, T.A., Effects of parameterization on the performance of empirical models used in predictive microbiology. Food Microbiol., 13, 83-91 (1996).   DOI