1
|
Yabe H, Abe H, Muramatsu Y, Koyama K, Koseki S. 3-D stochastic modeling approach in thermal inactivation: estimation of thermal survival kinetics of Escherichia coli O157:H7 in a hamburger after exposure to desiccation stress. Appl Environ Microbiol 2024; 90:e0078924. [PMID: 38780259 DOI: 10.1128/aem.00789-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 04/29/2024] [Indexed: 05/25/2024] Open
Abstract
Desiccation tolerance of pathogenic bacteria is one strategy for survival in harsh environments, which has been studied extensively. However, the subsequent survival behavior of desiccation-stressed bacterial pathogens has not been clarified in detail. Herein, we demonstrated that the effect of desiccation stress on the thermotolerance of Escherichia coli O157:H7 in ground beef was limited, and its thermotolerance did not increase. E. coli O157:H7 was inoculated into a ground beef hamburger after exposure to desiccation stress. We combined a bacterial inactivation model with a heat transfer model to predict the survival kinetics of desiccation-stressed E. coli O157:H7 in a hamburger. The survival models were developed using the Weibull model for two-dimensional pouched thin beef patties (ca. 1 mm), ignoring the temperature gradient in the sample, and a three-dimensional thick beef patty (ca. 10 mm), considering the temperature gradient in the sample. The two-dimensional (2-D) and three-dimensional (3-D) models were subjected to stochastic variations of the estimated Weibull parameters obtained from 1,000 replicated bootstrapping based on isothermal experimental observations as uncertainties. Furthermore, the 3-D model incorporated temperature gradients in the sample calculated using the finite element method. The accuracies of both models were validated via experimental observations under non-isothermal conditions using 100 predictive simulations. The root mean squared errors in the log survival ratio of the 2-D and 3-D models for 100 simulations were 0.25-0.53 and 0.32-2.08, respectively, regardless of the desiccation stress duration (24 or 72 h). The developed approach will be useful for setting appropriate process control measures and quantitatively assessing food safety levels.IMPORTANCEAcquisition of desiccation stress tolerance in bacterial pathogens might increase thermotolerance as well and increase the risk of foodborne illnesses. If a desiccation-stressed pathogen enters a kneaded food product via cross-contamination from a food-contact surface and/or utensils, proper estimation of the internal temperature changes in the kneaded food during thermal processing is indispensable for predicting the survival kinetics of desiccation-stressed bacterial cells. Various survival kinetics prediction models that consider the uncertainty or variability of pathogenic bacteria during thermal processing have been developed. Furthermore, heat transfer processes in solid food can be estimated using finite element method software. The present study demonstrated that combining a heat transfer model with a bacterial inactivation model can predict the survival kinetics of desiccation-stressed bacteria in a ground meat sample, corresponding to the temperature gradient in a solid sample during thermal processing. Combining both modeling procedures would enable the estimation of appropriate bacterial survival kinetics in solid food.
Collapse
Affiliation(s)
- Hidemoto Yabe
- Graduate School of Agricultural Science, Hokkaido University, Sapporo, Japan
| | - Hiroki Abe
- Institute of Food Research, National Agriculture and Food Research Organization, Tsukuba, Japan
| | - Yoshiki Muramatsu
- Department of Bioproduction and Environment Engineering, Tokyo University of Agriculture, Tokyo, Japan
| | - Kento Koyama
- Graduate School of Agricultural Science, Hokkaido University, Sapporo, Japan
| | - Shige Koseki
- Graduate School of Agricultural Science, Hokkaido University, Sapporo, Japan
| |
Collapse
|
2
|
Cross-contamination of mature Listeria monocytogenes biofilms from stainless steel surfaces to chicken broth before and after the application of chlorinated alkaline and enzymatic detergents. Food Microbiol 2023; 112:104236. [PMID: 36906320 DOI: 10.1016/j.fm.2023.104236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 02/07/2023] [Accepted: 02/07/2023] [Indexed: 02/10/2023]
Abstract
The objectives of this study were, firstly, to compare a conventional (i.e., chlorinated alkaline) versus an alternative (chlorinated alkaline plus enzymatic) treatment effectivity for the elimination of biofilms from different L. monocytogenes strains (CECT 5672, CECT 935, S2-bac and EDG-e). Secondly, to evaluate the cross-contamination to chicken broth from non-treated and treated biofilms formed on stainless steel surfaces. Results showed that all L. monocytogenes strains were able to adhere and develop biofilms at approximately the same growth levels (≈5.82 log CFU/cm2). When non-treated biofilms were put into contact with the model food, obtained an average transference rate of potential global cross-contamination of 20.4%. Biofilms treated with the chlorinated alkaline detergent obtained transference rates similar to non-treated biofilms as a high number of residual cells (i.e., around 4 to 5 Log CFU/cm2) were present on the surface, except for EDG-e strain on which transference rate diminished to 0.45%, which was related to the protective matrix. Contrarily, the alternative treatment was shown to not produce cross-contamination to the chicken broth due to its high effectivity for biofilm control (<0.50% of transference) except for CECT 935 strain that had a different behavior. Therefore, changing to more intense cleaning treatments in the processing environments can reduce risk of cross-contamination.
Collapse
|
3
|
Liao X, Shen W, Wang Y, Bai L, Ding T. Microbial contamination, community diversity and cross-contamination risk of food-contact ice. Food Res Int 2023; 164:112335. [PMID: 36737928 DOI: 10.1016/j.foodres.2022.112335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 11/05/2022] [Accepted: 12/18/2022] [Indexed: 12/29/2022]
Abstract
Ice is widely used in the food industry, as an ingredient (edible ice) directly added to food or as a coolant (food-contact ice) for fresh food preservation along the cold chain. However, it has been shown that food-contact ice are easily polluted by pathogens, potentially endangering the public's health. In the present study, the hygiene status of food-contact ice collected from various sources (local farmer markets, supermarkets, and restaurants) was evaluated through the quantitative estimation of total bacterial counts and coliform counts as well as the prevalence of foodborne pathogenic bacteria (Staphylococcus aureus, Vibrio parahaemolyticus, Salmonella, Listeria monocytogenes, Shigella). The average levels of total bacterial counts in the ice for preserving the aquatic products, poultry meat and livestock meat are 4.88, 4.18 and 6.11 log10 CFU/g, respectively. Over 90 % of the food-contact ice were positive for coliforms. The detection rate of S. aureus in all the food-contact ice samples was highest, followed by Salmonella, V. parahaemolyticus and L. monocytogenes, and Shigella was not detected. In addition, the bacterial community diversity of food-contact ice was analyzed with high-throughput sequencing. The dominant bacteria taxa in food-contact ice are heavily dependent on the environment of sampling sites. The predicted phenotypes of biofilm forming, oxidative stress tolerance, mobile element containing and pathogenesis were identified in the bacteria taxa of food-contact ice, which should be carefully evaluated in future work. Finally, the cross-contamination models of pathogen transfer during ice preservation were established. The results showed that the transfer rates of ice-isolated S. aureus between food and ice were significantly higher than that of V. parahaemolyticus. The binomial distribution B(n, p) exhibited a better fitness to describe the pathogen transfer during ice preservation when the transfer rate was low, in turn, the transfer rate-based probability model showed a better fit to the data when the transfer rate was high. Monte Carlo simulation with Latin-Hypercube sampling was carried out to predict the contamination levels of S. aureus and V. parahaemolyticus on food as the result of cross contamination during ice preservation ranging from -2.90 to 2.96 log10 CFU/g with a 90 % confidence interval. The findings of this work are conducive to a comprehensive understanding of the current hygiene status of food-contact ice, and lay a theoretical foundation for the risk assessment of cross-contamination during ice preservation.
Collapse
Affiliation(s)
- Xinyu Liao
- School of Mechanical and Energy Engineering, Ningbotech University, Ningbo, China; Department of Food Science and Nutrition, Zhejiang University, Hangzhou, Zhejiang 310058, China; Future Food Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, 314100 Jiaxing, China
| | - Wangwang Shen
- Department of Food Science and Nutrition, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Yeru Wang
- Key Laboratory of Food Safety Risk Assessment, National Health Commission of the People's Republic of China, China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Li Bai
- Key Laboratory of Food Safety Risk Assessment, National Health Commission of the People's Republic of China, China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Tian Ding
- Department of Food Science and Nutrition, Zhejiang University, Hangzhou, Zhejiang 310058, China; Future Food Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, 314100 Jiaxing, China.
| |
Collapse
|
4
|
Hdaifeh A, Khalid T, Boué G, Cummins E, Guillou S, Federighi M, Tesson V. Critical Analysis of Pork QMRA Focusing on Slaughterhouses: Lessons from the Past and Future Trends. Foods 2020; 9:E1704. [PMID: 33233782 PMCID: PMC7699970 DOI: 10.3390/foods9111704] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 11/09/2020] [Accepted: 11/18/2020] [Indexed: 01/27/2023] Open
Abstract
Foodborne microbial diseases have a significant impact on public health, leading to millions of human illnesses each year worldwide. Pork is one of the most consumed meat in Europe but may also be a major source of pathogens introduced all along the farm-to-fork chain. Several quantitative microbial risk assessment (QMRA) have been developed to assess human health risks associated with pork consumption and to evaluate the efficiency of different risk reduction strategies. The present critical analysis aims to review pork QMRA. An exhaustive search was conducted following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology. It resulted in identification of a collection of 2489 papers including 42 on QMRA, after screening. Among them, a total of 29 studies focused on Salmonella spp. with clear concern on impacts at the slaughterhouse, modeling the spreading of contaminations and growth at critical stages along with potential reductions. Along with strict compliance with good hygiene practices, several potential risk mitigation pathways were highlighted for each slaughterhouse step. The slaughterhouse has a key role to play to ensure food safety of pork-based products but consideration of the whole farm-to-fork chain is necessary to enable better control of bacteria. This review provides an analysis of pork meat QMRA, to facilitate their reuse, and identify gaps to guide future research activities.
Collapse
Affiliation(s)
- Ammar Hdaifeh
- INRAE, Oniris, SECALIM, 44307 Nantes, France; (A.H.); (T.K.); (G.B.); (S.G.); (V.T.)
| | - Tahreem Khalid
- INRAE, Oniris, SECALIM, 44307 Nantes, France; (A.H.); (T.K.); (G.B.); (S.G.); (V.T.)
| | - Géraldine Boué
- INRAE, Oniris, SECALIM, 44307 Nantes, France; (A.H.); (T.K.); (G.B.); (S.G.); (V.T.)
| | - Enda Cummins
- Biosystems and Food Engineering, University College Dublin, Dublin 4 Belfield, Ireland;
| | - Sandrine Guillou
- INRAE, Oniris, SECALIM, 44307 Nantes, France; (A.H.); (T.K.); (G.B.); (S.G.); (V.T.)
| | - Michel Federighi
- INRAE, Oniris, SECALIM, 44307 Nantes, France; (A.H.); (T.K.); (G.B.); (S.G.); (V.T.)
| | - Vincent Tesson
- INRAE, Oniris, SECALIM, 44307 Nantes, France; (A.H.); (T.K.); (G.B.); (S.G.); (V.T.)
| |
Collapse
|
5
|
Rugna G, Carra E, Bergamini F, Franzini G, Faccini S, Gattuso A, Morganti M, Baldi D, Naldi S, Serraino A, Piva S, Merialdi G, Giacometti F. Distribution, virulence, genotypic characteristics and antibiotic resistance of Listeria monocytogenes isolated over one-year monitoring from two pig slaughterhouses and processing plants and their fresh hams. Int J Food Microbiol 2020; 336:108912. [PMID: 33091754 DOI: 10.1016/j.ijfoodmicro.2020.108912] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 09/18/2020] [Accepted: 09/22/2020] [Indexed: 12/16/2022]
Abstract
Listeria monocytogenes contamination in raw pork and ready to eat foods is an important food safety concern, also for the increasing detection of antimicrobial-resistant isolates. Data on L. monocytogenes occurrence, persistence, distribution and genetic characterization in two different plants, namely in continuum from slaughtered pigs, environment and unfinished products (fresh hams) were observed by one-year monitoring and were integrated with their antimicrobial resistance patterns. A total of 98 samples out of the overall 1131 (8.7%) were positive for L. monocytogenes, respectively 2.6% and 13.2% in plants A and B: only three serotypes were identified, 1/2c (50%), 1/2b (36.7%) and 1/2a (13.27%), and strains were classified in 35 pulsotypes and 16 clusters by PFGE; a unique P-type was highlighted according to the detection of virulence genes. The contamination flow of L. monocytogenes has a low occurrence in slaughterhouse (Plant A = 1.1%, Plant B: 3.1%; p > 0.05) and increased throughout the processing chain with trimming area as the most contaminated (Plant A: 25%, Plant B: 57%; (p < 0.05)), both in the environment and in unfinished products (80% in hams before trimming in plant B). The dominant role of environmental contamination in post-slaughter processing is confirmed to be a significant cause of meat contamination by L. monocytogenes. Very high levels of resistance were observed for clindamycin (57%) and high resistance levels (>20-50%) to ciprofloxacin, oxacillin, levofloxacin and daptomycin, confirming the L. monocytogenes resistance trend to a wide range of antimicrobial agents. A total of 11 L. monocytogenes isolates were multidrug resistant and 7 out of them were isolated from slaughtered pigs. An interesting significant (p < 0.05) statistical correlation has been found between resistance to some antimicrobial agents and lineage/serotypes. Microbiological sampling of food and environments after sanitization are commonly used as verification procedure for the absence of L. monocytogenes in food plants and to give assurance of food safety, but strains characterization is necessary for industries to target specific control measures, like the enforcement of the hygiene program and of the control of operator activities, at least for permanent strains. The only presence of L. monocytogenes could not be considered as the conclusive assessment of a potential risk for public health, also in terms of emerging and emerged antimicrobial resistances.
Collapse
Affiliation(s)
- Gianluca Rugna
- Experimental Zooprophylactic Institute in Lombardy and Emilia Romagna, Brescia, Italy
| | - Elena Carra
- Experimental Zooprophylactic Institute in Lombardy and Emilia Romagna, Brescia, Italy
| | - Federica Bergamini
- Experimental Zooprophylactic Institute in Lombardy and Emilia Romagna, Brescia, Italy
| | - Giuliana Franzini
- Experimental Zooprophylactic Institute in Lombardy and Emilia Romagna, Brescia, Italy
| | - Silvia Faccini
- Experimental Zooprophylactic Institute in Lombardy and Emilia Romagna, Brescia, Italy
| | - Antonietta Gattuso
- Istituto Superiore di Sanità, Department of Food Safety, Nutrition and Veterinary Public Health, Rome, Italy
| | - Marina Morganti
- Experimental Zooprophylactic Institute in Lombardy and Emilia Romagna, Brescia, Italy
| | - Deborah Baldi
- Experimental Zooprophylactic Institute in Lombardy and Emilia Romagna, Brescia, Italy
| | - Simona Naldi
- Experimental Zooprophylactic Institute in Lombardy and Emilia Romagna, Brescia, Italy
| | - Andrea Serraino
- Department of Veterinary Medical Sciences, University of Bologna, Bologna, Italy
| | - Silvia Piva
- Department of Veterinary Medical Sciences, University of Bologna, Bologna, Italy
| | - Giuseppe Merialdi
- Experimental Zooprophylactic Institute in Lombardy and Emilia Romagna, Brescia, Italy
| | - Federica Giacometti
- Department of Veterinary Medical Sciences, University of Bologna, Bologna, Italy.
| |
Collapse
|