Efficacy of Peracetic Acid and Chlorine on the Reduction of Shiga Toxin-producing Escherichia coli and a Nonpathogenic E. coli Strain in Preharvest Agricultural Water.

Produce-borne outbreaks of Shiga toxin-producing Escherichia coli (STEC) linked to preharvest water emphasize the need for efficacious water treatment options. This study quantified reductions of STEC and generic E. coli in preharvest agricultural water using commercially available sanitizers. Water was collected from two sources in Virginia (pond, river) and inoculated with either a seven-strain STEC panel or environmental generic E. coli strain TVS 353 (∼9 log10 CFU/100 mL). Triplicate inoculated water samples were equilibrated to 12 or 32°C and treated with peracetic acid (PAA) or chlorine (Cl) [low (PAA:6ppm, Cl:2-4 ppm) or high (PAA:10 ppm, Cl:10-12 ppm) residual concentrations] for an allotted contact time (1, 5, or 10 min). Strains were enumerated, and a log-linear model was used to characterize how treatment combinations influenced reductions. All Cl treatment combinations achieved a ≥3 log10 CFU/100 mL reduction, regardless of strain (3.43 ± 0.25 to 7.05 ± 0.00 log10 CFU/100 mL). Approximately 80% (19/24) and 67% (16/24) of PAA treatment combinations achieved a ≥3 log10 CFU/100 mL for STEC and E. coli TVS 353, respectively. The log-linear model showed contact time (10 > 5 > 1 min) and sanitizer type (Cl > PAA) had the greatest impact on STEC and E. coli TVS 353 reductions (p < 0.001). E. coli TVS 353 in water samples was more resistant to sanitizer treatment (p < 0.001) indicating applicability as a good surrogate. Results demonstrated Cl and PAA can be effective agricultural water treatment strategies when sanitizer chemistry is managed. These data will assist with the development of in-field validation studies and may identify suitable candidates for the registration of antimicrobial pesticide products for use against foodborne pathogens in preharvest agricultural water treatment.

Sanitizer Type and Contact Time Influence Salmonella Reductions in Preharvest Agricultural Water Used on Virginia Farms.

No Environmental Protection Agency (EPA) chemical treatments for preharvest agricultural water are currently labeled to reduce human health pathogens. The goal of this study was to examine the efficacy of peracetic acid- (PAA) and chlorine (Cl)-based sanitizers against Salmonella in Virginia irrigation water. Water samples (100 mL) were collected at three time points during the growing season (May, July, September) and inoculated with either the 7-strain EPA/FDA-prescribed cocktail or a 5-strain Salmonella produce-borne outbreak cocktail. Experiments were conducted in triplicate for 288 unique combinations of time point, residual sanitizer concentration (low: PAA, 6 ppm; Cl, 2-4 ppm or high: PAA, 10 ppm; Cl, 10-12 ppm), water type (pond, river), water temperature (12°C, 32°C), and contact time (1, 5, 10 min). Salmonella were enumerated after each treatment combination and reductions were calculated. A log-linear model was used to characterize how treatment combinations influenced Salmonella reductions. Salmonella reductions by PAA and Cl ranged from 0.0 ± 0.1 to 5.6 ± 1.3 log10 CFU/100 mL and 2.1 ± 0.2 to 7.1 ± 0.2 log10 CFU/100 mL, respectively. Physicochemical parameters significantly varied by untreated water type; however, Salmonella reductions did not (p = 0.14), likely due to adjusting the sanitizer amounts needed to achieve the target residual concentrations regardless of source water quality. Significant differences (p < 0.05) in Salmonella reductions were observed for treatment combinations, with sanitizer (Cl > PAA) and contact time (10 > 5 > 1 min) having the greatest effects. The log-linear model also revealed that outbreak strains were more treatment-resistant. Results demonstrate that certain treatment combinations with PAA- and Cl-based sanitizers were effective at reducing Salmonella populations in preharvest agricultural water. Awareness and monitoring of water quality parameters are essential for ensuring adequate dosing for the effective treatment of preharvest agricultural water.

Curli Production Influences Cross-contamination by Escherichia coli O157:H7 When Washing Fresh-cut Romaine Lettuce.

Escherichia coli O157:H7 expresses extracellular proteins called curli that are essential for surface colonization. Transfer rates of E. coli O157:H7 0018+ (curli+), and 0018- (curli-) from inoculated to noninoculated lettuce pieces during washing were quantified in this study. Romaine lettuce pieces were inoculated with ∼6 log CFU on just the surface, just the cut edges, or both surface and cut edges. Samples were dried for 2 h in a biosafety cabinet and then washed with ten (10) noninoculated lettuce pieces in 500 mL of water for 30 s. The curli- strain was more readily removed (3 log reduction) compared to the curli+ (1 log reduction) when only the lettuce surface was inoculated (p > 0.05). The same was true when only the lettuce piece edge was inoculated (p > 0.05), although the magnitude of the reduction was less. There was no significant difference in reduction of curli+ strain between any of the surfaces. There was a significant difference (p < 0.05) in reduction of the curli- strains when comparing the leaf surface (more removal) to the cut leaf edge (less removal). The curli+ strain always showed significantly (p < 0.05) more transfer to noninoculated leaves regardless of the inoculation location. The curli+ strain transferred about -1 log percent (∼0.1%) to noninoculated pieces, while the curli- strain transferred about -2 log percent (∼0.01%) CFU to the noninoculated pieces. Mean log percent transfer was not significantly different within the curli+ or curli- experiments (p > 0.05). When the leaf surface was inoculated, there was about 2 log percent (i.e., close to 100% transfer) into the wash water for both the curli+ and curli- strains. When only the cut edges or surface and edge were inoculated, observed mean transfer rates were lower but not significantly different (p > 0.05). Further research is needed to more fully understand the factors that influence bacterial cross-contamination during the washing of fresh produce.

Transfer of MS2 bacteriophage from surfaces to raspberry and pitanga fruits and virus survival in response to sanitization, frozen storage and preservation technologies.

This study assessed the norovirus (NoV) surrogate bacteriophage MS2 transfer from stainless steel, glass and low-density polypropylene surfaces to raspberry and pitanga fruits. The effect of sodium hypochlorite (100 ppm, 1 min) on MS2 survival on whole fruits, the MS2 survival in sanitized fruits and derived pulps during frozen storage, and in response to preservation technologies (heat, organic acids and salts) was also assessed. The highest (p < 0.05) viral transfer (%) was observed from glass and stainless steel (∼90%) to raspberry, and from glass and polypropylene (∼75%) to pitanga, after 60 min of contact. Sodium hypochlorite reduced (p < 0.05) MS2 titer by 3.5 and 3.8 log PFU/g in raspberry and pitanga, respectively. MS2 decreased (p < 0.05) up to 1.4 log PFU/g in frozen stored sanitized fruits (whole fruits and pulps) after 15 days, with no further changes after 30 days. Thermal treatments reduced MS2 titer (p < 0.05) in both fruit pulps. MS2 inactivation was higher in pitanga pulp. The addition of ascorbic acid, citric acid, sodium benzoate, or sodium metabisulfite had little effect (<1 log PFU/g) on MS2 concentration in either fruit. These results may inform NoV risk management practice in processing and handling of fruits.

A worldwide systematic review, meta-analysis, and health risk assessment study of mycotoxins in beers.

Mycotoxins, including aflatoxins (AFs), ochratoxin A (OTA), deoxynivalenol (DON), fumonisins (FBs), and zearalenone (ZEN), have been reported as beer contaminants. This systematic review and meta-analysis provide the prevalence and concentration of mycotoxins in beers and their worldwide distribution. Mycotoxin's exposure and cancer risk through beer consumption were determined. The overall pooled prevalence of mycotoxins in beers was 31% (95% confidence interval [CI] = 28%-35%; I2  = 90%, p = .00). The most prevalent mycotoxins in beers were DON and its derivatives (53%), OTA (52%), FBs (47%), followed by AFs (12%). Iran (99%), Hungary (95%), Denmark (92%), Armenia (83%), and Cyprus (83%) had the highest mycotoxin prevalence in beers. The global mycotoxins average concentration in beers was 12.52 µg/L (95% CI = 10.70-14.75 µg/L; I2  = 100%, p = .00). DON and its derivatives showed the highest concentration (26.91 µg/L), followed by FBs (23.19 µg/L), ZEN and its derivatives (20.25 µg/L), and AFs (15.65 µg/L). African region had the highest mycotoxins concentration (73.95 µg/L) mostly due to the high levels reported in beers from Cameroon (293.02 µg/L), Malawi (132.34 µg/L), and Eastern Cape province (126.12 µg/L). The meta-regression indicated stability (p ≥ .05) of the global pooled concentration of mycotoxins in beers over the years, whereas FBs concentration increased. The intake of DON and its derivatives, FBs, ZEN and its derivatives, and OTA through beers is of concern in African countries. OTA is also of concern in Brazil and Belgium. Results show high mycotoxins concentration in beers worldwide and highlight the health risks through contaminated beer consumption.

Successive exposure to Mentha piperita L. essential oil affects the culturability and induces membrane repair in a persister epidemic Salmonella Typhimurium PT4.

This study had as aims to evaluate the effects of successive exposures to Mentha piperita L. essential oil (MPEO) on culturability and physiological functions of Salmonella Typhimurium PT4. S. Typhimurium PT4 cells (108 log CFU/mL) were exposed to the same (1.25 µL/mL) or increasing MPEO concentrations (1.25-80 µL/mL) during 252 h. At each 36-h interval, the viable cell counts, and distinct cell functions were assessed using plate counting and flow cytometry, respectively. As the exposure time to the same MPEO concentration increased, the population of S. Typhimurium PT4 cells with damaged, permeabilized and depolarized membrane, and compromised efflux activity decreased. Otherwise, S. Typhimurium PT4 cells with damaged membrane physiological functions increased over the exposure to increasing concentrations of MPEO. Genomic analyses showed that the strain carries 17 genes associated with stress responses and the persistence of the tested strain among sources associated with poultry spanning more than 16 years and its virulence for humans. Therefore, successive exposure to a sublethal concentration of MPEO induced S. Typhimurium PT4 cells capable of maintaining the membrane integrity and its functions despite their non-culturable state.

Microbiology of organic and conventionally grown fresh produce

ABSTRACT Fresh produce is a generalized term for a group of farm-produced crops, including fruits and vegetables. Organic agriculture has been on the rise and attracting the attention of the food production sector, since it uses eco-agricultural principles that are ostensibly environmentally-friendly and provides products potentially free from the residues of agrochemicals. Organic farming practices such as the use of animal manure can however increase the risk of contamination by enteric pathogenic microorganisms and may consequently pose health risks. A number of scientific studies conducted in different countries have compared the microbiological quality of produce samples from organic and conventional production and results are contradictory. While some have reported greater microbial counts in fresh produce from organic production, other studies do not. This manuscript provides a brief review of the current knowledge and summarizes data on the occurrence of pathogenic microorganisms in vegetables from organic production.

Effects of the Essential Oil from Origanum vulgare L. on Survival of Pathogenic Bacteria and Starter Lactic Acid Bacteria in Semihard Cheese Broth and Slurry.

This study assessed the inhibitory effects of the essential oil from Origanum vulgare L. (OVEO) on Staphylococcus aureus, Listeria monocytogenes, and a mesophilic starter coculture composed of lactic acid bacteria (Lactococcus lactis subsp. lactis and L. lactis subsp. cremoris) in Brazilian coalho cheese systems. The MIC of OVEO was 2.5 µl/ml against both S. aureus and L. monocytogenes and 0.6 µl/ml against the tested starter coculture. In cheese broth containing OVEO at 0.6 µl/ml, no decrease in viable cell counts (VCC) of both pathogenic bacteria was observed, whereas the initial VCC of the starter coculture decreased approximately 1.0 log CFU/ml after 24 h of exposure at 10°C. OVEO at 1.25 and 2.5 µl/ml caused reductions of up to 2.0 and 2.5 log CFU/ml in S. aureus and L. monocytogenes, respectively, after 24 h of exposure in cheese broth. At these same concentrations, OVEO caused a greater decrease of initial VCC of the starter coculture following 4 h of exposure. Higher concentrations of OVEO were required to decrease the VCC of all target bacteria in semisolid coalho cheese slurry compared with cheese broth. The VCC of Lactococcus spp. in coalho cheese slurry containing OVEO were always lower than those of pathogenic bacteria under the same conditions. These results suggest that the concentrations of OVEO used to control pathogenic bacteria in semihard cheese should be carefully evaluated because of its inhibitory effects on the growth of starter lactic acid cultures used during the production of the product.

Microbiology of organic and conventionally grown fresh produce

ABSTRACT Fresh produce is a generalized term for a group of farm-produced crops, including fruits and vegetables. Organic agriculture has been on the rise and attracting the attention of the food production sector, since it uses eco-agricultural principles that are ostensibly environmentally-friendly and provides products potentially free from the residues of agrochemicals. Organic farming practices such as the use of animal manure can however increase the risk of contamination by enteric pathogenic microorganisms and may consequently pose health risks. A number of scientific studies conducted in different countries have compared the microbiological quality of produce samples from organic and conventional production and results are contradictory. While some have reported greater microbial counts in fresh produce from organic production, other studies do not. This manuscript provides a brief review of the current knowledge and summarizes data on the occurrence of pathogenic microorganisms in vegetables from organic production.

Risky eating behaviors of young adults-implications for food safety education.

Young adults engage in risky eating behaviors like eating raw/undercooked foods of animal origin that put them at increased risk for foodborne disease. This cross-sectional survey assessed the self-reported risky eating behaviors of young adults enrolled in higher education as a part of a large-scale survey administered over 10 months. Participants (N=4,343) completed a risky eating questionnaire by indicating which of the foods listed they consumed (the list included a random sequence of foods that are considered safe or risky to eat). Each risky food consumed earned one point, with the risky eating score calculated by summing points earned (range 0 to 27). Higher scores indicated more risky eating behaviors. Food safety knowledge and self-efficacy and stage of change for safe food handling were also assessed. Mean risky eating score (5.1+/-3.6) indicated that young adults consumed risky foods. Male respondents and whites consumed more risky foods compared with female respondents and nonwhites, respectively. As stage of change (movement to higher stages) and self-efficacy increased, risky eating score decreased; those who believed food poisoning was a personal threat tended to eat fewer risky foods. Regression models indicated that the strongest predictor of risky eating was self-efficacy score followed by stage of change. These variables, together with sex and race, explained about 10% of the variance in risky eating score. Although food safety knowledge correlated weakly with risky eating score, it did not significantly predict it. Efforts to improve current food-handling behaviors and self-efficacy through education are important to reduce prevalence of risky eating behaviors within this population.