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Prevalence,level and distribution of Salmonella in shipments of imported capsicum and sesame seed spice offered for entry to the United States: Observations and modeling results
Authors:Jane M Van Doren  Robert J Blodgett  Régis Pouillot  Ann Westerman  Daria Kleinmeier  George C Ziobro  Yinqing Ma  Thomas S Hammack  Vikas Gill  Martin F Muckenfuss  Linda Fabbri
Affiliation:1. U.S. Food and Drug Administration, Center for Food Safety and Applied Nutrition, 5100 Paint Branch Parkway, College Park, MD 20740, USA;2. U.S. Food and Drug Administration, Office of Regulatory Affairs, 10903 New Hampshire Ave, Silver Spring, MD 20993, USA;3. U.S. Food and Drug Administration, Office of Regulatory Affairs, 12420 Parklawn Drive, Rockville, MD 20857, USA
Abstract:In response to increased concerns about spice safety, the United States Food and Drug Administration (FDA) initiated research to characterize the prevalence and levels of Salmonella in imported spices. 299 imported dried capsicum shipments and 233 imported sesame seed shipments offered for entry to the United States were sampled. Observed Salmonella shipment prevalence was 3.3% (1500 g examined; 95% CI 1.6–6.1%) for capsicum and 9.9% (1500 g; 95% Confidence Interval (CI) 6.3–14%) for sesame seed. Within shipment contamination was not inconsistent with a Poisson distribution. Shipment mean Salmonella level estimates among contaminated shipments ranged from 6 × 10−4 to 0.09 (capsicum) or 6 × 10−4 to 0.04 (sesame seed) MPN/g. A gamma-Poisson model provided the best fit to observed data for both imported shipments of capsicum and imported shipments of sesame seed sampled in this study among the six parametric models considered. Shipment mean levels of Salmonella vary widely between shipments; many contaminated shipments contain low levels of contamination. Examination of sampling plan efficacy for identifying contaminated spice shipments from these distributions indicates that sample size of spice examined is critical. Sampling protocols examining 25 g samples are predicted to be able to identify a small fraction of contaminated shipments of imported capsicum or sesame seeds.
Keywords:Salmonella contamination  Spice  Enumeration  Maximum likelihood estimation  Microbial contamination assessment
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