Behavior of Listeria monocytogenes type1 355/98 (85) in meat emulsions as affected by temperature, pH, water activity, fat and microbial preservatives

Food Control ◽  
2011 ◽  
Vol 22 (10) ◽  
pp. 1573-1581 ◽  
Author(s):  
Pellicer Karina ◽  
Copes Julio ◽  
Giannuzzi Leda ◽  
Zaritzky Noemi
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Satoko Hiura ◽  
Shige Koseki ◽  
Kento Koyama

AbstractIn predictive microbiology, statistical models are employed to predict bacterial population behavior in food using environmental factors such as temperature, pH, and water activity. As the amount and complexity of data increase, handling all data with high-dimensional variables becomes a difficult task. We propose a data mining approach to predict bacterial behavior using a database of microbial responses to food environments. Listeria monocytogenes, which is one of pathogens, population growth and inactivation data under 1,007 environmental conditions, including five food categories (beef, culture medium, pork, seafood, and vegetables) and temperatures ranging from 0 to 25 °C, were obtained from the ComBase database (www.combase.cc). We used eXtreme gradient boosting tree, a machine learning algorithm, to predict bacterial population behavior from eight explanatory variables: ‘time’, ‘temperature’, ‘pH’, ‘water activity’, ‘initial cell counts’, ‘whether the viable count is initial cell number’, and two types of categories regarding food. The root mean square error of the observed and predicted values was approximately 1.0 log CFU regardless of food category, and this suggests the possibility of predicting viable bacterial counts in various foods. The data mining approach examined here will enable the prediction of bacterial population behavior in food by identifying hidden patterns within a large amount of data.


2016 ◽  
Vol 99 (7) ◽  
pp. 5192-5201 ◽  
Author(s):  
E. Wemmenhove ◽  
M.H.J. Wells-Bennik ◽  
A. Stara ◽  
A.C.M. van Hooijdonk ◽  
M.H. Zwietering

mBio ◽  
2015 ◽  
Vol 6 (5) ◽  
Author(s):  
Kathleen A. Glass ◽  
Max C. Golden ◽  
Brandon J. Wanless ◽  
Wendy Bedale ◽  
Charles Czuprynski

ABSTRACT A 2014 multistate listeriosis outbreak was linked to consumption of caramel-coated apples, an unexpected and previously unreported vehicle for Listeria monocytogenes. This outbreak was unanticipated because both the pH of apples (<4.0) and the water activity of the caramel coating (<0.80) are too low to support Listeria growth. In this study, Granny Smith apples were inoculated with approximately 4 log10 CFU of L. monocytogenes (a cocktail of serotype 4b strains associated with the outbreak) on each apple's skin, stem, and calyx. Half of the apples had sticks inserted into the core, while the remaining apples were left intact. Apples were dipped into hot caramel and stored at either 7°C or 25°C for up to 11 or 28 days, respectively. Data revealed that apples with inserted sticks supported significantly more L. monocytogenes growth than apples without sticks under both storage conditions. Within 3 days at 25°C, L. monocytogenes populations increased >3 log10 in apples with sticks, whereas only a 1-log10 increase was observed even after 1 week for caramel-coated apples without sticks. When stored at 7°C, apples with sticks exhibited an approximately 1.5-log10 increase in L. monocytogenes levels at 28 days, whereas no growth was observed in apples without sticks. We infer that insertion of a stick into the apple accelerates the transfer of juice from the interior of the apple to its surface, creating a microenvironment at the apple-caramel interface where L. monocytogenes can rapidly grow to levels sufficient to cause disease when stored at room temperature. IMPORTANCE Neither caramel nor apples are a food where the pathogenic bacterium Listeria monocytogenes should grow, as caramel does not contain enough free water and apples are too acidic. Caramel-coated apples, however, were recently linked to a deadly outbreak of listeriosis. We hypothesized that inserting a stick into the apple releases juice to the interface between the apple and caramel, providing a more hospitable environment than either component alone. To test this hypothesis, apples were inoculated with L. monocytogenes prior to caramel dipping. Some apples had sticks inserted into them before dipping, while others did not. No growth of L. monocytogenes occurred on refrigerated caramel apples without sticks, whereas slow growth was observed on refrigerated caramel apples with sticks. In contrast, significant pathogen growth was observed within 3 days at room temperature on caramel apples with sticks inserted. Food producers should consider interfaces between components within foods as potential niches for pathogen growth.


1992 ◽  
Vol 55 (8) ◽  
pp. 574-578 ◽  
Author(s):  
NING CHEN ◽  
LEORA A. SHELEF

The relationship between water activity (aw), lactate, and growth of Listeria monocytogenes strain Scott A was studied in a meat model system consisting of cooked strained beef ranging in moisture content from 25 to 85% (wt/wt). Lactate (4%) depressed meat aw, and differences between aw values in control and lactate-treated samples at each moisture level increased progressively with decrease in moisture, from 0.003 (85% moisture) to 0.046 (25% moisture). Maximum cell numbers per g in control samples stored at 20°C for 7 d were about 109 (45–85% moisture, aw= 0.981–0.994) and 107 (35% moisture, aw = 0.965); there was no growth in meat with 25% moisture (aw = 0.932). Sodium lactate (4%) suppressed listerial growth at &gt;55% and inhibited growth in samples with 25–55% moisture (a &lt; 0.964). Lactate concentrations less than 4% were not listeristatic, but combinations of 2 or 3% lactate with 2% NaCl in samples with 55% moisture inhibited growth. Potassium and calcium lactate were as effective as the sodium salt in suppressing growth and aw.


Author(s):  
MARIA AURINEIDE DE ABREU CASTELO BRANCO ◽  
EVÂNIA ALTINA TEIXEIRA DE FIGUEIREDO ◽  
MARIA DE FÁTTIMA BORGES ◽  
MARIA CRISTINA DELGADO DA SILVA ◽  
MARIA TEREZA DESTRO

Avaliou-se a incidência de Listeria monocytogenes em queijo de coalho, produzido industrialmente e comercializado sob refrigeração na cidade de Fortaleza- CE (Brasil). Também foram avaliadas as condições de pH e de atividade de água nas amostras contaminadas com espécies de Listeria. Foram analisadas 84 amostras de queijo de coalho industrializado de diferentes marcas empregando o TECRA Listeria Visual Immunoassay (LISVIA) modificado. Das 84 amostras, 16 (19%) estavam contaminadas com Listeria monocytogenes, 5 (5,9%) com Listeria innocua e 1 (1,2%) com Listeria grayi. Listeria monocytogenes foi isolada na faixa de pH de 5,75 a 6,37 e em atividade de água entre 0,949 e 0,970. O TECRA LISVIA detectou a presença de Listeria spp. em 9 (10,7%) amostras. Todas as amostras positivas no teste rápido foram confirmadas por testes culturais e bioquímicos e em todas foi detectada a presença de Listeria monocytogenes. O plaqueamento das amostras negativas na leitura visual do teste rápido permitiu o isolamento de Listeria spp. em 8 amostras e em 7 foi detectada a presença de Listeria monocytogenes. INCIDENCE OF Listeria monocytogenes IN INDUSTRIALLY MANUFACTURED REFRIGERATED “COALHO” CHEESE Abstract Incidence of Listeria monocytogenes in “coalho” cheese industrially manufactured and commercialized in refrigerated temperature in the city of Fortaleza, Ceará (Brazil) was evaluated. Water activity and pH conditions in the contaminated samples with Listeria species were also evaluated. Samples (84) of industrialized “coalho” cheese of different brands were analyzed using the modified TECRA Listeria Visual Immunoassay (LISVIA). From 84 samples, 16 (19%) were contaminated with Listeria monocytogenes, 5 (5.9%) with Listeria innocua and 1 (1.2%) with Listeria grayi. Listeria monocytogenes was isolated in the pH range of 5.75 to 6.37 and in water activity between 0.949 e 0.970. The TECRA LISVIA detected the presence of Listeria spp. in 9 (10.7%) samples. All positives samples in the rapid test were confirmed by cultural and biochemical tests and in all samples the presence of Listeria monocytogenes was detected. The negative samples plating in the visual reading of the rapid test allowed the isolation of Listeria spp. in 8 samples and in 7 the presence of Listeria monocytogenes was detected.


2019 ◽  
Vol 8 (3) ◽  
Author(s):  
Erica Tirloni ◽  
Vanessa Di Pietro ◽  
Giuseppe Rizzi ◽  
Francesco Pomilio ◽  
Patrizia Cattaneo ◽  
...  

Aim of the present study was the evaluation of the growth potential of Listeria spp. inoculated in the typical North Italian dry fermented sausage “Bergamasco” salami during its production. As it was necessary to carry out the challenge test in the production line of the industry, according to the guidelines of the European Reference Laboratory for Listeria monocytogenes, a non-pathogenic “surrogate” microorganism was used: for the inoculum, two strains of Listeria innocua (1 ATCC, 1 strain isolated from a similar substrate) were used. The inoculation of the samples occurred during grinding and mixing of the sausage mass, before the filling. To avoid cross-contamination, the control samples were produced before the contaminated ones. After the dripping, salamis were subjected to the normal production process (drying and maturation in five steps at specific temperatures and humidity rates). The inoculated products were subjected to the enumeration of Listeria spp. at T0 (day of inoculation) and at T4 (post-drying), and every 10 days during curing (T10, T20, T30, T40, T50, T60, T70, T80 and T90), as this salami is generally sold as whole piece with varying levels of curing (from T20 to T90). Since the product may be cut in half and vacuumpacked, at each of the times starting from T20, half salami was vacuum-packed and stored for 30 days at 12°C, at the end of the which Listeria spp. enumeration was performed again. At all times and for each type of samples of each of the three batches, the enumeration of the natural microflora (Total Viable Count, lactic acid bacteria, Pseudomonas spp., Enterobacteriaceae) and the determination of water activity and pH were performed on control samples. The product was characterized by a high concentration of microflora (8-8.5 Log UFC/g), consisting mainly of lactic acid bacteria, added to the mixture at the beginning of the production process. The pH showed a decrease over time, expected for this type of products, due to the development of lactic acid bacteria (final pH: 5.42-5.55). The water activity reached values able to inhibit the development of Listeria spp. (final aw: 0.826-0.863). Listeria counts in the tested batches of “Bergamasco” salami showed the absence of significant growth in the product with a reduction of loads if compared to T0, between -0.59 and -1.04 Log CFU/g. Even in the samples subjected to vacuum packaging and storage at 12°C, the absence of significant increase of lactic acid bacteria in the product was highlighted with further decrease of bacterial loads (-0.70/-0.79 Log CFU/g if compared to T20). Considering the worst case scenario (thus the batch with the highest growth potential), in the products stored in the curing room at 14-16°C, at humidity of 80% and in the samples stored at 12°C and vacuum packaged, the threshold indicated by the EURL Lm guidelines (+0.5 Log CFU/g) for the growth of Listeria spp. was not reached, allowing to classify “Bergamasco” salami in the category 1.3 of the EC Reg. 2073/2005 as “Ready-to-eat food unable to support the growth of Listeria monocytogenes”.


2013 ◽  
Vol 60 (7) ◽  
pp. 347-356
Author(s):  
Naoko Kamisaki-Horikoshi ◽  
Takashi Sameshima ◽  
Yasuo Omori ◽  
Hidetaka Fuchu ◽  
Kiyotaka Miake ◽  
...  

2011 ◽  
Vol 74 (11) ◽  
pp. 1805-1813 ◽  
Author(s):  
M. S. SCHVARTZMAN ◽  
C. BELESSI ◽  
F. BUTLER ◽  
P. N. SKANDAMIS ◽  
K. N. JORDAN

Listeria monocytogenes can proliferate at the beginning of cheesemaking as the conditions favor growth. The objective of this study was to establish the growth limits of L. monocytogenes in a cheese matrix, in case of potential contamination of the milk prior to cheese manufacture. A semisoft laboratory scale model cheese system was made at different initial pH and water activity (aw) levels with a mix of two strains of L. monocytogenes. A factorial design of five pH values (5.6 to 6.5), four aw values (0.938 to 0.96), and two L. monocytogenes inoculation levels (1 to 20 CFU/ml and 500 to 1,000 CFU/ml) was carried out. Each combination was evaluated in six independent replicates. In order to determine if there was a dominant strain, isolated colonies from the cheeses were analyzed by pulsed-field gel electrophoresis. The data relating to growth initiation were fitted to a logistic regression model. The aw of milk influenced the probability of growth initiation of L. monocytogenes at both low and high contamination levels. The pH, at the concentrations tested, had a lower effect on the probability of growth initiation. At pH 6.5 and aw of 0.99 for low contamination levels and pH 6.5 and aw of 0.97 for high contamination levels, increases in population of up to 4 and 2 log were observed at low and high contamination levels, respectively. This shows that if conditions are favorable for growth initiation at the early stages of the cheesemaking process, contamination of milk, even with low numbers, could lead to L. monocytogenes populations that exceed the European Union's microbiological limit of 100 CFU/g of cheese.


2014 ◽  
Vol 77 (8) ◽  
pp. 1275-1288 ◽  
Author(s):  
WAN MEI LEONG ◽  
RENAE GEIER ◽  
SARAH ENGSTROM ◽  
STEVE INGHAM ◽  
BARBARA INGHAM ◽  
...  

Potentially hazardous foods require time/temperature control for safety. According to the U.S. Food and Drug Administration Food Code, most cheeses are potentially hazardous foods based on pH and water activity, and a product assessment is required to evaluate safety of storage &gt;6 h at 21°C. We tested the ability of 67 market cheeses to support growth of Listeria monocytogenes (LM), Salmonella spp. (SALM), Escherichia coli O157:H7 (EC), and Staphylococcus aureus (SA) over 15 days at 25°C. Hard (Asiago and Cheddar), semi-hard (Colby and Havarti), and soft cheeses (mozzarella and Mexican-style), and reduced-sodium or reduced-fat types were tested. Single-pathogen cocktails were prepared and individually inoculated onto cheese slices (~105 CFU/g). Cocktails were 10 strains of L. monocytogenes, 6 of Salmonella spp., or 5 of E. coli O157:H7 or S. aureus. Inoculated slices were vacuum packaged and stored at 25°C for ≤15 days, with surviving inocula enumerated every 3 days. Percent salt-in-the-moisture phase, percent titratable acidity, pH, water activity, and levels of indigenous/starter bacteria were measured. Pathogens did not grow on 53 cheeses, while 14 cheeses supported growth of SA, 6 of SALM, 4 of LM, and 3 of EC. Of the cheeses supporting pathogen growth, all supported growth of SA, ranging from 0.57 to 3.08 log CFU/g (average 1.70 log CFU/g). Growth of SALM, LM, and EC ranged from 1.01 to 3.02 log CFU/g (average 2.05 log CFU/g), 0.60 to 2.68 log CFU/g (average 1.60 log CFU/g), and 0.41 to 2.90 log CFU/g (average 1.69 log CFU/g), respectively. Pathogen growth varied within cheese types or lots. Pathogen growth was influenced by pH and percent salt-in-the-moisture phase, and these two factors were used to establish growth/no-growth boundary conditions for safe, extended storage (≤25°C) of pasteurized milk cheeses. Pathogen growth/no-growth could not be predicted for Swiss-style cheeses, mold-ripened or bacterial surface–ripened cheeses, and cheeses made with nonbovine milk, as insufficient data were gathered. This challenge study data can support science-based decision making in a regulatory framework.


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