A dynamic predictive model for the growth of Salmonella spp. and Staphylococcus aureus in fresh egg yolk and scenario-based risk estimation

Food Control ◽  
2020 ◽  
Vol 118 ◽  
pp. 107421 ◽  
Author(s):  
Jin Hwa Park ◽  
Mi Seon Kang ◽  
Kyung Min Park ◽  
Hee Young Lee ◽  
Gyeong Sik Ok ◽  
...  
2021 ◽  
Vol 9 (3) ◽  
pp. 486
Author(s):  
Mi Seon Kang ◽  
Jin Hwa Park ◽  
Hyun Jung Kim

The objective of the study was to develop a predictive model of Salmonella spp. growth in pasteurized liquid egg white (LEW) and to estimate the salmonellosis risk using the baseline model and scenario analysis. Samples were inoculated with six strains of Salmonella, and bacterial growth was observed during storage at 10–37 °C. The primary models were developed using the Baranyi model for LEW. For the secondary models, the obtained specific growth rate (μmax) and lag phase duration were fitted to a square root model and Davey model, respectively, as functions of temperature (R2 ≥ 0.98). For μmax, the values were satisfied within an acceptable range (Af, Bf: 0.70–1.15). The probability of infection (Pinf) due to the consumption of LEW was zero in the baseline model. However, scenario analysis suggested possible salmonellosis for the consumption of LEW. Because Salmonella spp. proliferated much faster in LEW than in egg white (EW) during storage at 20 and 30 °C (p < 0.01), greater Pinf may be obtained for LEW when these products are stored at the same conditions. The developed predictive model can be applied to the risk management of Salmonella spp. along the food chain, including during product storage and distribution.


Proceedings ◽  
2020 ◽  
Vol 70 (1) ◽  
pp. 36
Author(s):  
Carla Gonçalves ◽  
Ana Gomes ◽  
Alexandra Esteves ◽  
José António Silva ◽  
Cristina Maria Saraiva

The present study aims to contribute to sustainable development goals by increasing knowledge of food safety and food waste of meals produced by the cook–chill system in hospital units. The food waste (FW) of meals served at lunch was evaluated for all new hospitalized patients with light diet (n = 17) and soft texture diet (n = 10), during their hospital stay, using the physical method by weighing for dish and the visual estimation method for the soup. Samples of each diet (light, n = 3; soft texture, n = 3) were also collected in four different moments (after cooked, after cold transportation, after refrigerated storage and after hot regeneration) for detection and enumeration of Listeria monocytogenes, Salmonella spp. and Staphylococcus aureus and enumeration of Escherichia coli, Clostridium spp., Bacillus cereus, Enterobacteriaceae, total viable counts (TVC) at 30 °C, as well as pH, water activity, moisture, ashes and protein. The FW (%) of the light diet (n = 64) was 39.8 ± 6.3 in dish and 14.9 ± 5.4 in soup, and of the soft texture diet (n = 51) was 65.1 ± 9.0 in dish and 39.0 ± 5.8 in soup. Regarding the percentage of protein per meal, both light (8.73%) and soft (3.33%) diets presented on average values lower than those recommended by the WHO (10–15% protein). The value of different microorganisms varied along the production moments; however, the final products in the light diet (after hot regeneration) presented 1.34–1.73 log cfu/g of TVC. Counts of Bacillus cereus and Staphylococcus aureus were also obtained at low levels (less than 1 log cfu/g). Besides these results, the risk of foodborne diseases should be considered. The implementation of effective measures to increase food safety and reduce FW in hospital is crucial.


1996 ◽  
Vol 59 (8) ◽  
pp. 813-818 ◽  
Author(s):  
RONALD A. HEDDLESON ◽  
STEPHANIE DOORES ◽  
RAMASWAMY C. ANANTHESWARAN ◽  
GERALD D. KUHN

The chemical composition of five foods (UHT milk, beef broth, pudding, cream sauce, and liquid whole egg) was examined to determine factors important in achieving uniform temperatures within foods heated in a 700 W microwave oven. Proximate analyses were performed on all food systems to relate their chemical composition to temperatures and to destruction of microwave-heated Salmonella species, Listeria monocytogenes Scott A and V7 and Staphylococcus aureus ATCC 25923. Microwave heating times were chosen such that the final mixed mean temperature achieved by systems was 60°C for Salmonella spp. and L. monocytogenes, and 65°C for S. aureus. The amount of destruction of Salmonella spp. varied from 3.17 log CFU/ml in UHT milk to 0.44 log CFU/ml in beef broth. L. monocytogenes strains incurred the greatest amount of destruction in pudding (2.39 log CFU/g), while the least amount of destruction was observed in cream sauce (1.63 log CFU/ml). There were no significant differences in the amount of destruction of S. aureus heated in the five foods. The pH and aw of these foods did not affect survival of thermally stressed Salmonella, L. monocytogenes, or S. aureus cells. Of the food components examined, sodium content was the primary influence on the uniformity of temperatures achieved within foods, and, in turn, on the survival of bacteria.


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.


2018 ◽  
Author(s):  
Beyene Dobo

For good health, including fresh fruits and vegetables in our daily diet is very important. Fresh fruits and vegetables are highly perishable and affected by different microbial contaminants from production up to consumption. The objective of this study was to evaluate the important microbial spectrum of selected fruits and vegetables and their management from Hawassa town markets. A total of 27 fruit and 9 vegetable samples were analyzed for pathogens from their surface wash. The mean aerobic mesophillic count (AMC) ranged from 2.04x10-7cfu/ml to 4.2x10-6cfu/ml from the surface wash and the total coliform count (TC) ranged from 2.50LTBccfu/ml x10-7 to 1.5x10-6cfu/ml. Fecal coliform ranged from 3.2x10-6 to 0 cfu/ml and the range for Salmonella spp. and Staphylococcus aureus were 1.8x10-6 to 0 cfu/ml and 2.50LTBcx10-7 to 0 cfu/ml respectively. Mold and yeast count ranged from 7.6x10-6 to 0.2x10-4 from the fruit surface wash. There was statistically significant difference regarding to AMC and TC between markets in between banana and orange samples and they were detected in all fruit samples. From the 36 samples E. coli and molds and yeast were found in all fruit samples, and Salmonella and Staphylococcus aureus were detected in 89% fruit samples in each. Activities during harvesting, transportation, storage and marketing conditions favored contamination of most commonly used fruits banana and orange. Besides, poor hygiene of the venders, using microbial unsafe containers, poor handling practice and poor environmental conditions such as sanitarily unsafe marketing environment were identified to be another sources of contamination. Hence, for safe and clean supply of fruits, community members working with the fruits must be trained on the ways by which fruits can be contaminated and the safe methods of harvesting, transportation, storage and vending the fruits.


2021 ◽  
Vol 14 (1) ◽  
pp. 258-262
Author(s):  
Habibu Usman Abdu ◽  
Aisha Mustapha Abubakar

Foodborne pathogens are serious public healthproblems that greatly affect the cost of food production and healthcare while poultry are often associated with foodborne disease outbreaks. This study aimed at investigating the occurrence and distribution of bacterial pathogens associated with chicken meats sold around Bayero University, Kano old site. A total of twenty (20) meat samples comprised of 10 frozen and ten freshly slaughtered chicken were purchased from different selling outlets around the study area. The samples were processed using standard cultural and biochemical procedures. The results of the study showed the mean aerobic mesophilic bacterial count of 5.93 x 106 CFU/g and 3.12 x 106  CFU/g for frozen and freshly slaughtered chicken meat samples respectively. The coliform counts were 420.1 and 347.7 CFU/100g for frozen and freshly slaughtered chicken meat samples respectively. The distribution of different bacterial species revealed E. coli (26.0%), Klebsiella spp (4.0%), Salmonella spp (19.5%), Campylobacter spp. (14.6%) and Staphylococcus aureus (30%) in frozen chicken meat samples while freshly slaughtered chicken meat samples revealed E. coli (21.0%), Klebsiella spp (8.9%), Salmonella spp (30%), Campylobacter spp. (15.0%) and Staphylococcus aureus (24.0%). This showed that frozen chicken meats were more contaminated than freshly slaughtered chicken meats which might be associated with poor handling and storage conditions.


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