Outbreak epidemiologically linked with a composite product of beef, mechanically separated chicken and textured vegetable protein contaminated with multiple serotypes of Salmonella enterica including multidrug-resistant Infantis, California 2016

Prevalence of Salmonella species and factors associated with contamination of mechanically recovered poultry meat imported into South Africa, 2016-2017

Background and Aim

Mechanically recovered meat (MRM) products have been linked to outbreaks of human salmonellosis. However, no studies have investigated the prevalence of Salmonella species in MRM products in South Africa despite the products being imported. Therefore, this study aimed to estimate the prevalence and factors associated with Salmonella spp. contamination of mechanically recovered poultry meat (MRPM) imported into South Africa.

Materials and Methods

This study used secondary data of MRPM consignments imported through a port entry into South Africa from May 2016 to December 2017. Crude and factor-specific proportions of Salmonella positive MRPM and their 95% confidence intervals were calculated. A logistic regression model was used to assess the association among country, season, importer, year, and MRPM Salmonella status.

Results

A total of 8127 MRPM consignments were imported. Seventeen percentages (17.18%, 985/5733) of consignments tested positive for Salmonella species and only 364 isolates were serotyped. Salmonella Heidelberg (73.90%, 269/364) was the most common serotype followed by Salmonella Infantis (6.59%, 24/364), Salmonella Salamae (4.67%, 17/364), and Salmonella Schwarzengrund (3.57%, 13/364). The odds of a consignment testing positive for Salmonella spp. was higher among consignments from country-B (Odds Ratio [OR]: 3.958, p < 0.0001) compared to "All others." The odds of testing positive for Salmonella were also higher among consignments imported in autumn (OR: 1.488, p < 0.0001) but lower among those imported in spring (OR: 0.767, p = 0.0004) and summer (OR: 0.843, p < 0.0001) when compared to the winter season. Consignments imported in 2016 compared to 2017 were 1.563 times (p < 0.0001) as likely to test positive for a Salmonella species.

Conclusion

Salmonella species were reported in MRPM consignments in this study with Salmonella Heidelberg being the most common serotype. Furthermore, some Salmonella serotypes reported in this study have been implicated in foodborne disease outbreaks. Country of origin, season, and year of importation were significantly associated with the odds of a consignment testing positive for Salmonella species.

A study on microbial and chemical characterization of mechanically deboned chicken in Tehran, Iran

This study aimed to investigate microbial, chemical, and heavy metal contamination of mechanically deboned chicken (MDC) in Iran. A total of 24 samples of MDC were obtained from meat plants. TBC of the three samples were acceptable. E. coli and S. aureus were detected in 21 and 6 samples, respectively. Three of the samples were contaminated with Salmonella spp. Campylobacter was not detected in any of the samples. The moisture content of MDC was in the range of 41% to 75%. Ash had a range of 0.74% to 1.4%. The maximum protein content of the MDC was 21.98% and fat content was in the range of 2.1% to 20%. The highest PV was 15.18 mEq/kg. All of the samples were polluted with Pb, Cd, and As. In conclusion, MDC had microbial and chemical contamination. It is necessary to develop more strict criteria for control of the chicken paste processing method.

Sanitization of Chicken Frames by a Combination of Hydrogen Peroxide and UV Light To Reduce Contamination of Derived Edible Products

Chicken carcass frames are used to obtain mechanically separated chicken (MSC) for use in other further processed food products. Previous foodborne disease outbreaks involving Salmonella-contaminated MSC have demonstrated the potential for the human pathogen to be transmitted to consumers via MSC. The current study evaluated the efficacy of multiple treatments applied to the surfaces of chicken carcass frames to reduce microbial loads on noninoculated frames and frames inoculated with a cocktail of Salmonella enterica serovar Enteritidis and Salmonella enterica serovar Typhimurium. Inoculated or noninoculated frames were left untreated (control) or were subjected to treatment using a prototype sanitization apparatus. Treatments consisted of (i) a sterile water rinse, (ii) a water rinse followed by 5 s of UV-C light application, or (iii) an advanced oxidation process (AOP) combining 5 or 7% (v/v) hydrogen peroxide (H₂O₂) with UV-C light. Treatment with 7% H₂O₂ and UV-C light reduced numbers of aerobic bacteria by up to 1.5 log CFU per frame (P < 0.05); reductions in aerobic bacteria subjected to other treatments did not statistically differ from one another (initial mean load on nontreated frames: 3.6 ± 0.1 log CFU per frame). Salmonella numbers (mean load on inoculated, nontreated control was 5.6 ± 0.2 log CFU per frame) were maximally reduced by AOP application in comparison with other treatments. No difference in Salmonella reductions obtained by 5% H₂O₂ (1.1 log CFU per frame) was detected compared with that obtained following 7% H₂O₂ use (1.0 log CFU per frame). The AOP treatment for sanitization of chicken carcass frames reduces microbial contamination on chicken carcass frames that are subsequently used for manufacture of MSC.

Public health risks associated with Salmonella contamination of imported edible betel leaves: Analysis of results from England, 2011-2017

Fresh betel leaves (Piper betle L.), imported into the UK are a traditional ready-to-eat food consumed by Asian populations. We report here the consolidation of routinely collected data to model the public health risks from consumption of this food. Amongst 2110 samples collected at Border Inspection, wholesale, catering or retail, Salmonella was detected in 488 (23%) of samples tested between 2011 and 2017 and was the most commonly Salmonella-contaminated ready-to-eat food examined by Public Health England during this period. Using data from multiple samples (usually 5) tested per consignment sampled at Border Inspection, contamination levels were calculated by most probable number: seasonal, temporal and country specific differences were detected. Quantitative contamination data was used to estimate the levels present at retail, and a β-Poisson dose response model the probability of illness was calculated. Using data for products imported from India, the probability of acquiring infection following a single exposure (comprising of a single leaf) was estimated to be between 0.00003 (January-March) and 0.0001 (July-September). Using British Asian population data for individuals over 30 years of age in England in 2011, two estimates of consumption were modelled as 2.1 and 12.8 million servings per annum. Results from the model estimated 160 cases (range 102 to 242) and 960 cases (range 612 to 1456) per year in England for the two consumption estimates and equated to 34 (range 22 to 51) and 204 (range 130 to 310) salmonellosis cases per year reported to national surveillance. Salmonella from 475 of the contaminated samples were further characterised which showed a heterogeneous population structure with 46 S. enterica subsp. Enterica serovars, together with S. enterica subs diarizonae and salamae identified. Isolates from individual consignments were diverse and close genetic relationships between independent isolates were very rare except from within an individual consignment. There were no outbreaks detected as associated with betel leaf consumption. However analysis by whole genome sequencing of the 2014-17 data identified two cases where the clinical isolate had <5 single nucleotide polymorphism differences to isolates from betel leaves which is indicative of a likely epidemiological link and common source of contamination. Due to the diversity of the Salmonella contaminating this product, associations between salmonellosis cases and betel leaf consumption will appear sporadic and unlikely to be detected by current surveillance strategies based on outbreak detection.