Prevalence of SARS-CoV-2 Contamination on Food Plant Surfaces as Determined by Environmental Monitoring.

ABSTRACT: The SARS-CoV-2 pandemic has presented new challenges to food manufacturers. During the early phase of the pandemic, several large outbreaks of coronavirus disease 2019 (COVID-19) occurred in food manufacturing plants resulting in deaths and economic loss, with approximately 15% of personnel diagnosed as asymptomatic for COVID-19. Spread by asymptomatic and presymptomatic individuals has been implicated in large outbreaks of COVID-19. In March 2020, we assisted in implementation of environmental monitoring programs for SARS-CoV-2 in zones 3 and 4 of 116 food production facilities. All participating facilities had already implemented measures to prevent symptomatic personnel from coming to work. During the study period, from 17 March to 3 September 2020, 1.23% of the 22,643 environmental samples tested positive for SARS-CoV-2, suggesting that infected individuals were actively shedding virus. Virus contamination was commonly found on frequently touched surfaces such as doorknobs, handles, table surfaces, and sanitizer dispensers. Most processing plants managed to control their environmental contamination when they became aware of the positive findings. Comparisons of positive test results for plant personnel and environmental surfaces in one plant revealed a close correlation. Our work illustrates that environmental monitoring for SARS-CoV-2 can be used as a surrogate for identifying the presence of asymptomatic and presymptomatic personnel in workplaces and may aid in controlling infection spread.

Occurrence and Levels of Salmonella, Enterohemorrhagic Escherichia coli, and Listeria in Raw Wheat.

HIGHLIGHTS: Prevalence of Salmonella and E. coli in raw wheat emphasizes the need to cook wheat products. 3,891 grain samples were tested for E. coli and Salmonella; 1,285 were tested for Listeria. Of wheat berries sampled, 0.44% were positive for E. coli and 1.23% were positive for Salmonella. Salmonella diversity was high, indicating various animal sources that are difficult to prevent. Cooking wheat products is the best preventative measure against foodborne illness from wheat.

Prevalence and counts of Salmonella and enterohemorrhagic Escherichia coli in raw, shelled runner peanuts.

Three major outbreaks of salmonellosis linked to consumption of peanut butter during the last 6 years have underscored the need to investigate the potential sources of Salmonella contamination in the production process flow. We conducted a study to determine the prevalence and levels of Salmonella in raw peanuts. Composite samples (1,500 g, n = 8) of raw, shelled runner peanuts representing the crop years 2009, 2010, and 2011 were drawn from 10,162 retained 22-kg lot samples of raw peanuts that were negative for aflatoxin. Subsamples (350 g) were analyzed for the presence of Salmonella and enterohemorrhagic Escherichia coli. Salmonella was found in 68 (0.67%) of 10,162 samples. The highest prevalence rate (P < 0.05) was for 2009 (1.35%) compared with 2010 (0.36%) and 2011 (0.14%). Among four runner peanut market grades (Jumbo, Medium, No. 1, and Splits), Splits had the highest prevalence (1.46%; P < 0.05). There was no difference (P > 0.05) in the prevalence by region (Eastern versus Western). Salmonella counts in positive samples (most-probable-number [MPN] method) averaged 1.05 (range, 0.74 to 5.25) MPN per 350 g. Enterohemorrhagic E. coli was found in only three samples (0.030%). Typing of Salmonella isolates showed that the same strains found in Jumbo and Splits peanuts in 2009 were also isolated from Splits in 2011. Similarly, strains isolated in 2009 were also isolated in 2010 from different peanut grades. These results indicated the persistence of environmental sources throughout the years. For five samples, multiple isolates were obtained from the same sample that had different pulsed-field gel electrophoresis types. This multistrain contamination was primarily observed in Splits peanuts, in which the integrity of the kernel is usually compromised. The information from the study can be used to develop quantitative microbial risk assessments models.

Geographic sharing of ribotype patterns in Enterococcus faecalis for bacterial source tracking.

The limited host range of Enterococcus faecalis may reduce its clonal diversity and thereby increase its geographic sharing of ribotype patterns. Such sharing would be advantageous for bacterial source tracking (BST). We determined the geographic sharing of ribotype patterns in 752 Ent. faecalis isolates obtained primarily from wastewater treatment plants in Delaware (15 locations; 490 isolates), Georgia (2 locations; 48 isolates), Idaho (1 location; 118 isolates), New York (2 locations; 48 isolates), and Puerto Rico (2 locations; 48 isolates). Isolates were ribotyped with a RiboPrinter. When pooled across all locations and analyzed at a similarity index of 100% and a tolerance level of 1.00%, the 752 Ent. faecalis isolates yielded 652 different ribotypes, of which 429 (66%) were unshared. Even when the matching criterion was relaxed by decreasing the tolerance level from 1% to 10% or lowering the similarity cutoff from 100% to 90%, half or almost half of the ribotypes were unshared. A Mantel test of zero correlation showed no statistically significant correlation between ribotype patterns and geographic distance among the 32 samples (one location at one time) at either the 1.00% (P = 0.91) or 10.00% (P = 0.83) tolerance levels. Therefore, the percentage of ribotype patterns shared between two locations did not increase as the distance between locations decreased. In the case of BST, a permanent host origin database sufficiently large to encompass these ribotype patterns would be time-consuming and expensive to construct.

Comparison of genotypic-based microbial source tracking methods requiring a host origin database.

Microbial source tracking (MST) results, obtained using identical sample sets and pulsed field gel electrophoresis (PFGE), repetitive element PCR (rep-PCR) and ribotyping techniques were compared. These methods were performed by six investigators in analysis of duplicate, blind sets of water samples spiked with feces from five possible sources (sewage, human, dog, cow and seagull). Investigators were provided with samples of the fecal material used to inoculate the water samples for host origin database construction. All methods correctly identified the dominant source in the majority of the samples. Modifications of some of these methods correctly identified the dominant sources in over 90% of the samples; however, false positive rates were as high as 57%. The high false positive rates appeared to be indirectly proportional to the levels of stringency applied in pattern analysis. All the methods produced useful data but the results highlighted the need to modify and optimize these methods in order to minimize sources of error.

Recommendations for microbial source tracking: lessons from a methods comparison study.

The methods comparison study described in accompanying manuscripts demonstrated the potential value of microbial source tracking (MST) techniques, but also identified a need for method refinement. This paper provides three classes of recommendations to improve MST technology: optimization, development and evaluation. Optimization recommendations focus on library-dependent methods and include improved selection of restriction enzymes or antibiotics, better definition of appropriate library size, selection of target species and choice of statistical pattern-matching algorithms. Methods development recommendations focus on identifying new genomic targets and quantification procedures for library-independent methods. Longer-term methods development recommendations include integration of microarrays and other direct pathogen detection technology with MST. Studies defining host specificity and population dynamics should aid selection of target species during methods development. Evaluation recommendations include enhancements that should be incorporated into future methods comparison studies, along with studies to assess the value of MST results for risk characterization.