Journal
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
Volume 97, Issue 2, Pages 705-710Publisher
WILEY-BLACKWELL
DOI: 10.1002/jsfa.7715
Keywords
Vibrio parahaemolyticus; seafood; hypermarket; probability distribution; risk assessment
Funding
- National Natural Science Foundation of China [31271870]
- Science and Technology Commission of Shanghai Municipality [14DZ1205100, 14320502100, 12391901300]
- Key Project of Shanghai Agriculture Prosperity through Science and Technology [B5201120040]
- Dawn Program of Shanghai Education Commission [15SG48]
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BACKGROUNDVibrio parahaemolyticus is an important gastroenteritis pathogen contaminating seafood in China. In this study a total of 992 seafood samples from major hypermarkets in Shanghai were monitored for prevalence and burden of V. parahaemolyticus from January 2011 to December 2012. Additionally, appropriate probability distributions for describing V. parahaemolyticus concentrations were assessed based on these surveillance data. RESULTSSeventeen of 992 samples were positive for V. parahaemolyticus and the geometric mean was 0.1581 most probable number (MPN) g(-1). The variation in prevalence of V. parahaemolyticus was seasonal and the burden of contamination in August (0.1942 MPN g(-1)) was significant (P < 0.01) between 2011 and 2012. Also, the prevalence of V. parahaemolyticus was higher in shellfish and cephalopods than in other seafood (P < 0.05). By comparison, the lognormal distribution and integrated distribution showed no obvious difference for characterizing V. parahaemolyticus contamination. CONCLUSIONThe low prevalence and burden found indicated that seafood from hypermarkets may not be an important risk source for V. parahaemolyticus infection in Shanghai, and more attention should be paid to other areas for selling seafood, such as farmlands or farmers' markets. The simple and effective lognormal distribution is recommended as a better choice for describing V. parahaemolyticus contamination in future risk assessment studies. (c) 2016 Society of Chemical Industry
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