Virginia N. Scott

Tracking of Listeria monocytogenes in Smoked Fish Processing Plants

Four smoked fish processing plants were used as a model system to characterize Listeria monocytogenes contamination patterns in ready-to-eat food production environments. Each of the four plants was sampled monthly for approximately 1 year. At each sampling, four to six raw fish and four to six finished product samples were collected from corresponding lots. In addition, 12 to 14 environmental sponge samples were collected several hours after the start of production at sites selected as being likely contamination sources. A total of 234 raw fish, 233 finished products, and 553 environmental samples were tested. Presumptive Listeria spp. were isolated from 16.7% of the raw fish samples, 9.0% of the finished product samples, and 27.3% of the environmental samples. L. monocytogenes was isolated from 3.8% of the raw fish samples (0 to 10%, depending on the plant), 1.3% of the finished product samples (0 to 3.3%), and 12.8% of the environmental samples (0 to 29.8%). Among the environmental samples, L. monocytogenes was found in 23.7% of the samples taken from drains, 4.8% of the samples taken from food contact surfaces, 10.4% of the samples taken from employee contact surfaces (aprons, hands, and door handles), and 12.3% of the samples taken from other nonfood contact surfaces. Listeria spp. were isolated from environmental samples in each of the four plants, whereas L. monocytogenes was not found in any of the environmental samples from one plant. Overall, the L. monocytogenes prevalence in the plant environment showed a statistically significant (P < 0.0001) positive relationship with the prevalence of this organism in finished product samples. Automated EcoRI ribotyping differentiated 15 ribotypes among the 83 L. monocytogenes isolates. For each of the three plants with L. monocytogenes-positive environmental samples, one or two ribotypes seemed to persist in the plant environment during the study period. In one plant, a specific L. monocytogenes ribotype represented 44% of the L. monocytogenes-positive environmental samples and was also responsible for one of the two finished product positives found in this plant. In another plant, a specific L. monocytogenes ribotype persisted in the raw fish handling area. However, this ribotype was never isolated from the finished product area in this plant, indicating that this operation has achieved effective separation of raw and finished product areas. Molecular subtyping methods can help identify plant-specific L. monocytogenes contamination routes and thus provide the knowledge needed to implement improved L. monocytogenes control strategies.

Longitudinal Studies on Listeria in Smoked Fish Plants: Impact of Intervention Strategies on Contamination Patterns

Four ready-to-eat smoked fish plants were monitored for 2 years to study Listeria contamination patterns and the impact of plant-specific Listeria control strategies, including employee training and targeted sanitation procedures, on Listeria contamination patterns. Samples from the processing plant environment and from raw and finished product were collected monthly and tested for Listeria spp. and Listeria monocytogenes. Before implementation of intervention strategies, 19.2% of raw product samples (n = 276), 8.7% of finished product samples (n = 275), and 26.1% of environmental samples (n = 617) tested positive for Listeria spp. During and after implementation of Listeria control strategies, 19.0% of raw product samples (n = 242), 7.0% of finished product samples (n = 244), and 19.5% of environmental samples (n = 527) were positive for Listeria spp. In one of the four fish plants (plant 4), no environmental samples were positive for L. monocytogenes, and this plant was thus excluded from statistical analyses. Based on data pooled from plants 1, 2, and 3, environmental Listeria spp. prevalence was significantly lower (P < 0.05) for nonfood contact surfaces and the finished product area and for the overall core environmental samples after implementation of control strategies. Listeria prevalence for floor drains was similar before and after implementation of controls (49.6 and 54.2%, respectively). Regression analysis revealed a significant positive relationship (P < 0.05) between L. monocytogenes prevalence in the environment and in finished products before implementation of control strategies; however, this relationship was absolved by implementation of Listeria control strategies. Molecular subtyping (EcoRI ribotyping) revealed that specific L. monocytogenes ribotypes persisted in three processing plants over time. These persistent ribotypes were responsible for all six finished product contamination events detected in plant 1. Ribotype data also indicated that incoming raw material is only rarely a direct source of finished product contamination. While these data indicate that plant-specific Listeria control strategies can reduce cross-contamination and prevalence of Listeria spp. and L. monocytogenes in the plant environment, elimination of persistent L. monocytogenes strains remains a considerable challenge.

Growth, Inhibition, and Survival of Listeria monocytogenes as Affected by Acidic Conditions

Growth and survival of four strains of Listeria monocytogenes under acidic conditions were investigated. Tryptic soy broth with yeast extract (TSBYE) was acidified with acetic, citric, hydrochloric, lactic, or propionic acid to pH 4.0-6.0, inoculated with L. monocytogenes and incubated at 30 or 4°C. The minimum test pH at which L. monocytogenes did not grow (inhibitory pH) was determined for each acid. In the pH range tested, this inhibitory pH was 5.0 for propionic acid, 4.5 for acetic and lactic acids, and 4.0 for citric and hydrochloric acids. All four strains gave similar results. Subsequent studies were conducted at 10 and 30°C to determine changes in cell populations in TSBYE adjusted to each inhibitory pH. Initial populations of viable cells (104 CFU/ml) were reduced to <10 CFU/ml within 1-3 weeks at 30°C, whereas at 10°C, L. monocytogenes survived for 11-12 weeks in acetic, citric, or propionic acid-adjusted media and for 6 weeks in media adjusted with hydrochloric or lactic acid. The concentration of undissociated lactic acid was 0.002 M at pH 4.5.

Identification of a transferable tetracycline resistance plasmid (pCW3) from Clostridium perfringens

Abstract A tetracycline- and chloramphenicol-resistant strain of Clostridium perfringens, CW92, was shown to carry two plasmids, pCW2 and pCW3. Twenty-four independently derived tetracycline-sensitive mutants were isolated using a variety of curing agents. All were missing pCW3 but still carried pCW2. Tetracycline resistance could be transferred to a sensitive recipient strain by what appears to be a conjugation-like process. The efficiency of transfer was 2.8 × 10−5 transcipients per viable donor cell after a 20-h mating. The transcipients transferred tetracycline resistance at a similar frequency. Ten independently derived tetracycline-resistant transcipients all carried pCW3 as shown by agarose gel electrophoresis. The identity of this plasmid in one of these strains was confirmed by electron microscopy and restriction endonuclease analysis. Therefore, pCW3 (30.6 megadaltons) is a transferable tetracycline-resistance plasmid. No chloramphenicol-sensitive mutants or chloramphenicol-resistant transcipients were isolated. Therefore, pCW2 (36.4 megadaltons) remains cryptic.

Use of predictive microbiology in microbial food safety risk assessment

Microbial risk assessment is a newly emerging discipline in the area of food safety. One of the difficulties associated with microbial risk assessment is in determining the number of microorganisms in food at a given time, i.e.. estimating exposure of an individual to the microorganism. Numbers of bacteria in food can change at all stages of food production and processing, depending on the nature of the food and the way it is handled, stored and processed. Predictive microbiology can be used to estimate changes in bacterial numbers, allowing exposure of an individual to a pathogen to be assessed. A survey was sent to scientists in the food industry to determine their perspective on the role of predictive microbiology in conducting microbial risk assessments. In this paper, responses to that survey are presented, as well as examples of the potential risk of foodborne illness from a cooked meat product contaminated with Staphylococcus aureus and hamburger contaminated with Salmonella.

Attributing risk to Listeria monocytogenes subgroups: dose response in relation to genetic lineages.

The objective of this study was to evaluate the hypothesis that the dose-response relationship for Listeria monocytogenes in humans varies with genotypic lineage or subtype. The linkages between molecular subtyping data and enumeration data for L. monocytogenes subtypes in foods consumed by the at-risk population were examined to test this hypothesis. We applied a conditional probability model to conduct a subtype-specific dose-response analysis, with the focus on invasive listeriosis. L. monocytogenes differed not only in the molecular subtype and lineage but also in the contamination level when isolates of the pathogen occurred in retail samples of ready-to-eat foods. Using the exponential model parameter r-value as a measure (essentially the probability of a single cell causing illness), we found that the virulence varied among L. monocytogenes lineages by several orders of magnitude. Under the assumptions made, for L. monocytogenes lineages I and II the consumption of a single cell would result in listeriosis with log average probabilities of -7.88 (equivalent to once in 10(7.78) times) and -10.3, respectively, as compared with -9.72 for L. monocytogenes independent of subtype. A greater difference in r-values was found for selected ribotypes. The uncertainty about the r-value estimates was small compared with the large differences in the virulence parameters themselves. Thus, for L. monocytogenes both subtype and the number of cells consumed matter, highlighting the usefulness of considering both exposure concentration and subtype prevalence in dose-response analysis. As advances are made in molecular subtyping and quantitative tools for dose-response analysis, further studies integrating genomic data into quantitative risk assessments will enable better attribution of disease risk to L. monocytogenes subtypes.

Interaction of factors to control microbial spoilage of refrigerated foods

A variety of factors can prevent growth of microorganisms. Combining inhibitory factors can result in considerable improvement in the microbial stability of foods. Suitable combinations of growth-limiting factors at subinhibitory levels can be devised so that certain microorganisms can no longer proliferate in the product (the hurdles concept). Knowledge of the effectiveness of a wide range of combinations of hurdles for a variety of microorganisms would be valuable in product development in allowing predictions of microbial stability and safety of new formulations. Data generated in the laboratory could be used to predict the effect that changing certain factors would have relative to other factors with regard to increasing or decreasing microbial stability. These types of predictions are particularly important with refrigerated foods since the storage temperature is frequently the primary hurdle, and temperature abuse is not uncommon.

Validation of Predictive Mathematical Models Describing the Growth of Escherichia coli O157:H7 in Raw Ground Beef

The growth of Escherichia coli O157:H7 in raw ground beef was investigated at 12°C, 20°C, and 35°C at pH 5.7 (unadjusted) and adjusted to pH 6.3 to 6.4. These growth data were fitted to the Gompertz equation and the resulting growth kinetics were compared with predictions from the U.S. Department of Agriculture Pathogen Modeling Program. Close agreement with the model was obtained at pH 5.7, but at pH 6.4, growth was more rapid than predicted. The U.S. Department of Agriculture Food Safety and Inspection Service has used this predictive model for developing proposed regulations on time-temperature requirements for carcass cooling. As there may be considerable differences in the microenvironment of raw ground beef and a beef carcass, the validity of using predictive models for estimating growth rates on a carcass should be determined by performing growth studies on carcass surfaces.

Variation in Listeria monocytogenes Dose Responses in Relation to Subtypes Encoding a Full-Length or Truncated Internalin A

ABSTRACT Internalin A (InlA; encoded by inlA) facilitates the crossing of the intestinal barrier by Listeria monocytogenes. Mutations leading to a premature stop codon (PMSC) in inlA and thus attenuated mammalian virulence have been reported. We recently characterized 502 L. monocytogenes food isolates from a retail survey and 507 human clinical isolates from multiple U.S. states with respect to the presence/absence of inlA mutations. The objective of this study was to investigate the hypothesis that dose responses for human listeriosis vary between L. monocytogenes strains with and those without a PMSC in inlA. Subtype-specific prevalence and concentration distributions in food, along with epidemiologic and consumption data, were input into established dose-response models to generate an r value (probability of a cell causing illness). Under the conservative assumption that L. monocytogenes levels at retail represent levels consumed, mean log10 r values were −8.1 and −10.7 for L. monocytogenes subtypes with genes encoding a full-length and a truncated InlA, respectively. L. monocytogenes carrying a 5′ frameshift mutation in a homopolymeric tract showed a mean log10 r value of −12.1. Confidence intervals for the r values and their differences varied depending on subtypes. When the increase in concentration of L. monocytogenes subtypes between retail and consumption was considered, mean log10 r values were reduced to −10.4, −13.8, and −12.8 for the subtypes with genes encoding a full-length InlA, for the subtypes carrying a PMSC in inlA, and for all L. monocytogenes isolates regardless of subtype, respectively. Our study provides further quantitative evidence that L. monocytogenes subtypes vary in abilities and relative likelihoods of causing human disease, which were mechanistically related to defined genetic markers.

Validation of predictive mathematical models describing growth of Staphylococcus aureus

An investigation was performed on the growth of Staphylococcus aureus in a commercially available, sterile, homogeneous food at 12°C with 1.2 and 5.9% NaCl; at 25°C with 10.4% NaCl; and at 20 and 35°C with 1.2, 5.3, 12.5, and 15.8% NaCl; over a pH range of 5.5 to 7.5. Growth data were fitted to the Gompertz equation and the resulting growth kinetics were compared with predictions from the Pathogen Modeling Program (PMP) and Food MicroModel (FMM). For the PMP, predicted lag-phase durations varied from 0.5 to 130 h longer than the observed values. In general, close agreement with growth rates was obtained but there was a 10-fold difference in one case. For FMM, predicted lag-phase durations ranged from 27 h shorter to 47 h longer than the observed values. Again, close agreement with growth rates was obtained, but in one case a fivefold difference was observed. In general, for the sterile foods used under the growth conditions tested, the models underestimated the growth of S. aureus . This implies that while the models can be used as a guide to indicate growth rates in foods they should not be relied upon as the sole determinant of the products safety.