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1.
Animal ; 16 Suppl 1: 100426, 2022 Feb.
Article in English | MEDLINE | ID: mdl-35031228

ABSTRACT

This paper reviews the current state of knowledge on beef carcass and meat quality, with particular emphasis on on-farm and processing factors associated with its high and inconsistent variability. The diversity of livestock systems comes from the diversity of breeds (dairy or beef), ages and gender (bulls, steers, heifers, cull cows) used to produce either mainly beef or beef and milk. In addition, there are factors linked to farming practices (including diet, especially grazing) which significantly influence the sensory, nutritional, technological and extrinsic (such as image) quality attributes of meat. These can become factors of positive differentiation when controlled by the application and certification of technical specifications. Finally, preslaughter (such as stress), slaughter (such as the chilling and hanging method of carcasses) and postslaughter (such as ageing, packaging and cooking) conditions have a strong influence on the microbiological, sensory, technological and image quality attributes of beef. In this review, potential synergisms or antagonisms between the different quality attributes are highlighted. For example, finishing cattle on grass, compared to indoor fattening on a high concentrate diet, has the advantage of producing leaner meat with a higher proportion of omega-3 fatty acids while exhibiting superior oxidative stability, but with the consequence of a darker meat colour and lower productivity, as well as higher seasonality and land surface requirements. Moreover, the control of on-farm factors is often guided by productivity (growth rate, feed conversion ratio) and carcass quality attributes (weight, conformation and fatness). Genetic selection has often been oriented in this direction, without taking other quality attributes into account. Finally, the interactions between all these factors (and especially between on-farm and slaughter or processing factors) are not considered in the quality grading schemes in European countries. This means that positive efforts at farm level may be mitigated or even eliminated by poor slaughtering or processing conditions. All these considerations explain why between-animal variability in quality can be high, even when animals come from the same farming system. The ability to predict the sensory and nutritional properties of meat according to production factors has become a major objective of the supply chain.


Subject(s)
Cattle , Dairying/methods , Food Handling , Meat , Animal Feed/analysis , Animals , Diet/veterinary , Farms , Meat/standards , Milk
2.
Animal ; 16 Suppl 1: 100425, 2022 Feb.
Article in English | MEDLINE | ID: mdl-34955388

ABSTRACT

The hen's egg (Gallus gallus) is an animal product of great agronomic interest, with a world production of 70.9 million tonnes in 2018. China accounted for 35% of world production, followed by North America (12% of world production), the European Union (7.0 million tonnes, 10% of world production) and India (5.0 million tonnes, 7% of world production). In France, 16-17 billion eggs are produced annually (14.5 billion for table eggs) and more than 1 200 billion worldwide. In 2019, egg production increased by 3.3% compared to 2018, mainly due to the increase in Asian production, which has risen by 42% since 2000. Chicken eggs are widely used either as a low-cost, high nutritional quality food cooked by the consumer (more than 100 billion eggs consumed in Europe), or incorporated as an ingredient in many food products. The various production methods have changed considerably over the last 15 years with the consideration of animal welfare and changes in European regulations. In Europe, fewer and fewer eggs are produced in confinement and there has been a strong growth in the number of systems giving access to an outdoor run. In this review, we describe the different ways in which eggs are produced and processed into egg products to meet the growing demand for ready-to-use food products. We analyse the effect of this evolution of hen-rearing systems on the set of characteristics of eggs and egg products that determine their quality. We describe the risks and benefits associated with these new production methods and their influence or lack of influence on commercial, nutritional, microbial and chemical contamination risk characteristics, as well as the evolution of the image for the consumer. The latter covers the ethical, cultural and environmental dimensions associated with the way the egg is produced.


Subject(s)
Chickens , Ovum , Animal Welfare , Animals , Eggs , Female , Food Quality , North America
3.
Animal ; 16 Suppl 1: 100330, 2022 Feb.
Article in English | MEDLINE | ID: mdl-34400114

ABSTRACT

Sheep meat comes from a wide variety of farming systems utilising outdoor extensive to indoor intensive with animals of various ages at slaughter. In Europe, slaughter may occur from 4 weeks of age in suckling light lambs to adult ages. More than any other animal species used for meat production, there are strong country-specific preferences for sheep meat quality linked to production system characteristics such as dairy or grassland-based systems. This article critically reviews the current state of knowledge on factors affecting sheep carcass and meat quality. Quality has been broken down into six core attributes: commercial, organoleptic, nutritional, technological, safety and image, the latter covering aspects of ethics, culture and environment associated with the way the meat is produced and its origin, which are particularly valued in the many quality labels in Europe. The quality of meat is built but can also deteriorate along the continuum from the conception of the animal to the consumer. Our review pinpoints critical periods, such as the gestation and the preslaughter and slaughter periods, and key factors, such as the animal diet, via its direct effect on the fatty acid profile, the antioxidant and volatile content, and indirect effects mediated via the age of the animal. It also pinpoints methodological difficulties in predicting organoleptic attributes, particularly odour and flavour. Potential antagonisms between different dimensions of quality are highlighted. For example, pasture-feeding has positive effects on the image and nutritional attributes (through its effect on the fatty acid profile of meat lipids), but it increases the risk of off-odours and off-flavours for sensitive consumersand the variability in meat quality linked to variability of animal age at slaughter. The orientation towards more agro-ecological, low-input farming systems may therefore present benefits for the image and nutritional properties of the meat, but also risks for the commercial (insufficient carcass fatness, feed deficiencies at key periods of the production cycle, irregularity in supply), organoleptic (stronger flavour and darker colour of the meat) and variability of sheep carcass and meat quality. Furthermore, the genetic selection for lean meat yield has been effective in producing carcasses that yield more meat, but at a penalty to the intramuscular fat content and eating quality of the meat, and making it more difficult to finish lambs on grass. Various tools to assess and predict quality are in development to better consider the various dimensions of quality in consumer information, payment to farmers and genetic selection.


Subject(s)
Diet , Meat , Adipose Tissue , Animal Feed/analysis , Animals , Diet/veterinary , Fatty Acids , Meat/analysis , Sheep , Taste
4.
Animal ; 16 Suppl 1: 100331, 2022 Feb.
Article in English | MEDLINE | ID: mdl-34419417

ABSTRACT

Poultry meat mainly comes from standard production system using high growth rate strains reared under indoor intensive conditions. However, it is possible to find also different alternative systems using outdoor extensive rearing conditions and slow-growing lines. These different production systems can affect carcass and meat quality. In this review, quality has been broken down into six properties: commercial, organoleptic, nutritional, technological, sanitary and image, the latter covering the ethical, cultural and environmental dimensions associated with the way the meat is produced, as well as its origin and being particularly valued in many quality labels. The quality of meat is built and can deteriorate along the continuum from the conception of the animal to the fork. Our review details the different factors implicated in the determinism of poultry meat properties and pinpoints critical periods, such as the preslaughter and slaughter periods, and key factors, such as the feeding regimen, via its direct effect on the fatty acid profile, the antioxidant and volatile compound contents, and indirect effects mediated via the growth rate of the bird. Our review also highlights potential antagonisms between different dimensions of quality. The genetic selection for breast meat yield, for example, has been effective in producing carcasses with higher meat yield, but resulting since a decade in the increased occurrence of quality defects and myopathies (white striping, wooden breast, spaghetti meat and deep pectoral disease). Outdoor access has positive effects on the image and nutritional properties (through its effect on the fatty acid profile of meat lipids), but it increases the exposition risk to environmental contaminants and pathologies (parasites, virus, bacteria); it also increases the variability in meat quality linked to the variability of animal performance and slaughter age. The orientation towards more agro-ecological low-input farming systems may present benefits for the image and nutritional properties, but also risks for the commercial (low carcass weight and low breast yield, irregularity in supply), organoleptic (stronger flavour, less tender and darker colour of the meat) and in terms of variability of the different properties that constitute quality. Efforts should be made in the future to better take into account the various dimensions of quality, in consumer information, payment to farmers and genetic selection.


Subject(s)
Muscular Diseases , Poultry , Animals , Chickens , Fatty Acids , Meat/analysis , Muscular Diseases/veterinary
5.
Animal ; 16 Suppl 1: 100376, 2022 Feb.
Article in English | MEDLINE | ID: mdl-34836809

ABSTRACT

This article critically reviews the current state of knowledge on the quality of animal-source foods according to animal production and food processing conditions, including consumer expectations-behaviours and the effects of consumption of animal-source foods on human health. Quality has been defined through seven core attributes: safety, commercial, sensory, nutritional, technological, convenience, and image. Image covers ethical, cultural and environmental dimensions associated with the origin of the food and the way it is produced and processed. This framework enabled to highlight the priorities given to the different quality attributes. It also helped to identify potential antagonisms and synergies among quality attributes, between production and processing stages, and among stakeholders. Primacy is essentially given to commercial quality attributes, especially for standard commodity animal-source foods. This primacy has strongly influenced genetic selection and farming practices in all livestock commodity chains and enabled substantial quantitative gains, although at the expense of other quality traits. Focal issues are the destructuration of chicken muscle that compromises sensory, nutritional and image quality attributes, and the fate of males in the egg and dairy sectors, which have heavily specialised their animals. Quality can be gained but can also be lost throughout the farm-to-fork continuum. Our review highlights critical factors and periods throughout animal production and food processing routes, such as on-farm practices, notably animal feeding, preslaughter and slaughter phases, food processing techniques, and food formulation. It also reveals on-farm and processing factors that create antagonisms among quality attributes, such as the castration of male pigs, the substitution of marine-source feed by plant-based feed in fish, and the use of sodium nitrite in meat processing. These antagonisms require scientific data to identify trade-offs among quality attributes and/or solutions to help overcome these tensions. However, there are also food products that value synergies between quality attributes and between production and processing phases, particularly Geographical Indications, such as for cheese and dry-cured ham. Human epidemiological studies have found associations between consumption of animal-source foods and increased or decreased risk for chronic non-communicable diseases. These associations have informed public health recommendations. However, they have not yet considered animal production and food processing conditions. A concerted and collaborative effort is needed from scientists working in animal science, food process engineering, consumer science, human nutrition and epidemiology in order to address this research gap. Avenues for research and main options for policy action are discussed.


Subject(s)
Animal Feed , Meat , Animals , Livestock , Male , Nutritional Status , Swine
6.
Int J Food Microbiol ; 354: 109319, 2021 Sep 16.
Article in English | MEDLINE | ID: mdl-34247023

ABSTRACT

In the frame of the CEN Mandate M/381 from the European Commission to CEN (European Committee for Standardization), a method for the detection of staphylococcal enterotoxins in foodstuffs has been developed, validated and standardized. An extraction procedure based on dialysis concentration followed by an immuno-enzymatic detection has been defined. In addition, performance criteria (minimum values of sensitivity, specificity and level of detection) to be achieved by the commercially available immuno-enzymatic kits that could be used to detect staphylococcal enterotoxins in food matrices, were developed. A 2-stage validation study was conducted: The first stage aimed at selecting the commercial kits to be included in the second stage, which consisted in an interlaboratory study, using eight matrices covering five food categories (ready-to-eat food, meat products, milk products, dessert and fish). Results showed that two detection kits included in the study met the pre-defined performance criteria. The implementation of dialysis concentration step increased significantly the sensitivity of the method. The method developed allowed to achieve the Benchmark Dose lower limit (BMD10) estimated at 6.1 ng. In 2019, finally, the European Commission recognized this standard as the European Union reference method for the detection of staphylococcal enterotoxins in food.


Subject(s)
Enterotoxins , Food Analysis , Food Microbiology , Animals , Enterotoxins/analysis , European Union , Food Analysis/methods , Food Chain , Food Microbiology/methods , Limit of Detection
7.
Lett Appl Microbiol ; 66(6): 496-505, 2018 Jun.
Article in English | MEDLINE | ID: mdl-29575083

ABSTRACT

Cronobacter is a ubiquitous Gram-negative pathogen bacterium capable of surviving in low water activity environments, in particular powdered infant formula (PIF). Seven Cronobacter strains representing four different species (C. sakazakii, n = 4; C. malonaticus, n = 1; C. muytjensii, n = 1; C. turicensis, n = 1) were subjected to dry stress and stored in PIF at room temperature. The resulting survivor curves showed that Cronobacter sp. can survive for extended periods of at least 3 months with a significant, but moderate, variability regarding the level of resistance between species; however, no correlation was evident regarding the origin of strains. These results are evaluated with regard to other key characteristics, including genomic profiles and biofilm formation capacities of the strains. SIGNIFICANCE AND IMPACT OF THE STUDY: Cronobacter can survive extended periods of at least 3 months in PIF, with moderately significant interspecific variability in desiccation resistance. Results are evaluated with regard to genomic profiles and biofilm formation capacities of the strains, and contribute to an improved understanding of the environmental persistence of Cronobacter in contaminated PIF, and subsequent risk to infant exposure.


Subject(s)
Biofilms/growth & development , Cronobacter sakazakii/growth & development , Infant Formula/microbiology , Cronobacter sakazakii/genetics , Desiccation , Enterobacteriaceae Infections/microbiology , Food Microbiology , Humans , Infant
8.
Lett Appl Microbiol ; 60(5): 481-90, 2015 May.
Article in English | MEDLINE | ID: mdl-25619748

ABSTRACT

UNLABELLED: The food safety criteria that have been incorporated in European regulation (EC) No2073/2005 (Official Journal of the European Union L, 338, 2005, 1), for Listeria monocytogenes in ready-to eat (RTE) foods, specify a maximum allowable concentration of 100 CFU g(-1) or ml(-1) . Some factors such as pH, salt and modified atmosphere packaging (MAP) are used to prevent the growth of L. monocytogenes in order to comply with the limit. Interactions between background microflora (BM) and L. monocytogenes may limit the growth of L. monocytogenes. The aim of this study was to investigate the mechanisms behind the observed inhibition by natural BM of the growth of L. monocytogenes in ready-to-eat diced poultry meat whose pH and water activity were favourable to its growth. The dynamics of L. monocytogenes and natural BM were therefore monitored in mono-culture and co-culture experiments with various combinations of contamination levels. In the absence of BM, the growth potential of L. monocytogenes depended only on the initial inoculum. With both BM and L. monocytogenes, whatever the combination of concentrations studied, the growth potentials of L. monocytogenes were lower than in a mono-culture through a partial Jameson effect. Thus, the use-by date of this product can be optimized by using models that take into account interactions with BM. SIGNIFICANCE AND IMPACT OF THE STUDY: The study of the growth of Listeria monocytogenes in a diced poultry meat, a matrix whose pH and water activity characteristics are favourable to L. monocytogenes growth, showed that it was inhibited by natural background microflora. This highlights the importance of knowing the product's composition, and in particular the natural background microflora, which can impact the use-by date.


Subject(s)
Food Microbiology , Listeria monocytogenes/growth & development , Meat/microbiology , Poultry/microbiology , Animals , Coculture Techniques , Colony Count, Microbial , Food Safety , Microbiota
9.
J Appl Microbiol ; 116(1): 179-90, 2014 Jan.
Article in English | MEDLINE | ID: mdl-24102819

ABSTRACT

AIMS: To provide a rapid and sensitive method for detecting NoV GI and NoV GII in water and to evaluate the use of the murine norovirus (MNV-1) as a process control. METHODS AND RESULTS: The method is based on viral concentration by filtration on electropositive filters and direct lysis of adsorbed viruses from filters before RNA extraction and RT-qPCR amplification. An one-step multiplex RT-qPCR assay was developed for the simultaneous detection of NoV GI, NoV GII and MNV-1. Then, water samples were artificially contaminated to determine mean virus recoveries and method sensitivity. The method showed a higher sensitivity for detecting NoV GII (10(3) genome copies per 0·5 l) than for NoV GI (10(4) genome copies per 0·5 l) in the presence of MNV-1 regardless of the type of water. The data also showed that MNV-1 is a robust option as process control. CONCLUSIONS: The method described provides a valuable tool for the monitoring of potential public health risks associated with NoV contamination in drinkable water. SIGNIFICANCE AND IMPACT OF STUDY: Given the increasing evidence for NoV involvement in food outbreaks, the one-step multiplex RT-qPCR assay we used in this study would be a very useful tool to investigate NoV contamination in other food products.

10.
Int J Food Microbiol ; 154(1-2): 44-51, 2012 Mar 01.
Article in English | MEDLINE | ID: mdl-22236760

ABSTRACT

The aim of the present study was to predict Clostridium perfringens vegetative cell inactivation during the final reheating step of two beef-in-sauce products prepared and distributed in a French hospital for exposure in risk assessment. In order to account for variability according to experts and international organization recommendations, published data were used to estimate the thermal inactivation parameters of a probabilistic model. Mixed effects models were proposed to describe variability on D(ref) the decimal reduction time at temperature T(ref). Many models differing by their description of variability on D(ref) were tested. Based on goodness-of-fit and parsimony of the model, the one including three random effects was chosen. That model describes random effects of vegetative cell culture conditions, strains and other uncontrolled experimental factors. In order to check the ability of the model to predict inactivation under dynamic thermal conditions, model validation was carried out on published non isothermal data. This model was then used to predict C. perfringens vegetative cell inactivation using temperature profiles inside beef-in-sauce products registered in a French hospital and to explore control measures easier to apply than French regulations.


Subject(s)
Clostridium perfringens/growth & development , Food Handling , Linear Models , Meat Products/microbiology , Clostridium perfringens/isolation & purification , Colony Count, Microbial , Food , Food Contamination , Food Microbiology , Food Preservation , Forecasting , Hot Temperature , Humans , Meat , Models, Biological , Models, Statistical , Spores, Bacterial/physiology
11.
J Food Prot ; 74(2): 302-10, 2011 Feb.
Article in English | MEDLINE | ID: mdl-21333153

ABSTRACT

In 2008, the French Institute for Public Health Surveillance reported an increase in the number of histamine food poisoning outbreaks and cases in France. The aim of this study was to propose a new monitoring plan for characterizing consumers' exposure to histamine through fishery products. As fish products of concern are numerous, we proposed that the number of samples allocated for a fish category be chosen based on the risk associated with the category. Point risk estimates of histamine poisoning were assessed with the Risk Ranger tool. Fresh fish with high histidine content was found to contribute most to the number of cases. The (estimated) risks associated with the consumption of canned and deep-frozen fish appear marginal as compared with the risk associated with fresh fish with high histidine concentrations. Accordingly, we recommend excluding canned and deep-frozen fish from the monitoring plan, although these risk estimates can be biased. Within a category, samples were proportional to the relative food consumption of the different fishes. The spatial and seasonal consumption patterns were also taken into account for the design of the new monitoring plan. By testing appropriate numbers of samples from categories of fish products of concern, this plan will permit investigation of trends or comparison of product categories presenting risks of histamine poisoning.


Subject(s)
Consumer Product Safety , Fish Products/analysis , Food Contamination/analysis , Histamine/analysis , Risk Assessment , Animals , Environmental Monitoring , France , Humans , Seasons , Sentinel Surveillance
12.
Int J Food Microbiol ; 128(1): 51-7, 2008 Nov 30.
Article in English | MEDLINE | ID: mdl-18778863

ABSTRACT

The aim of this study was to investigate the mechanism of the observed inhibition of Listeria monocytogenes by the natural biofilm microflora (BM) on wooden shelves used in the ripening of a soft and smear cheese. For this, BM was harvested and we conducted a series of experiments in which two strains of L. monocytogenes were co-cultured with BM on glass fiber filters deposited on model cheeses. Compared to monoculture, L. monocytogenes growth rate in co-culture was not reduced but the growth of the pathogen stopped as soon as BM entered the stationary phase. This reduction in maximum population density can be explained by nutrient consumption and exhaustion by BM as no production of inhibitors by BM has been detected. This mechanism of pathogen inhibition has been previously described as the "Jameson effect".


Subject(s)
Biofilms/growth & development , Cheese/microbiology , Coculture Techniques , Listeria monocytogenes/physiology , Wood/microbiology , Antibiosis , Food Contamination/analysis , Food Contamination/prevention & control , Food Handling/methods , Food Microbiology , Kinetics , Listeria monocytogenes/growth & development , Listeria monocytogenes/pathogenicity , Population Density
13.
J Food Prot ; 70(10): 2243-50, 2007 Oct.
Article in English | MEDLINE | ID: mdl-17969604

ABSTRACT

The aim of this study was to determine the MICs of 14 antimicrobials for Salmonella Typhimurium with three methods and to check the influence of experiment duration on the estimation of MICs. The growth of Salmonella Typhimurium in a brain heart infusion medium containing various concentrations of natural aromatic compounds, organic acids, or salts was monitored by absorbance measurements for 24 or 72 h. Three different ways of analyzing optical density (OD) curves were tested for the determination of MICs. Both quantitative methods gave similar MICs for most of the compounds. The semiquantitative method does not allow estimating the MIC for all compounds. Noticeable differences were found between MICs obtained for 24- or 72-h experiments, whatever the method used. The proposed methods and models can be used for the estimation of MICs from OD data. MICs could be used for a quantitative approach to Salmonella Typhimurium growth.


Subject(s)
Anti-Bacterial Agents/pharmacology , Colony Count, Microbial/methods , Models, Biological , Salmonella typhimurium/growth & development , Culture Media/chemistry , Dose-Response Relationship, Drug , Kinetics , Microbial Sensitivity Tests , Time Factors
14.
J Microbiol Methods ; 65(2): 324-34, 2006 May.
Article in English | MEDLINE | ID: mdl-16185781

ABSTRACT

A method to determine the individual lag time (lag) distributions of immobilized bacteria was presented. The method was based on the image analysis of the bacterial colony growth. The lag distributions were retrieved from the distributions of the detection times (Td) required to form macroscopically visible colonies. Using this method, the lag distributions on agar for Listeria monocytogenes cells previously subjected to two situations reproducing conditions encountered during the contamination of cheese, were determined. The results were presented and compared with lag distributions obtained with an established method based on the time to detection of turbidity in broth. An original method to retrieve lag in broth and agar without any knowledge of the growth rate was also proposed. In order not to bias the distributions of lag on agar the impact of spatial separation between colonies on colony growth rates was quantified. Means and standard deviations of lag distributions for the two different stresses were found to be similar in broth and on agar. Extreme Value type II distributions fitted the best the different datasets of lag distributions.


Subject(s)
Image Processing, Computer-Assisted/methods , Listeria monocytogenes/cytology , Listeria monocytogenes/growth & development , Agar , Cells, Immobilized , Culture Media , Heat-Shock Response
15.
J Appl Microbiol ; 99(5): 1019-42, 2005.
Article in English | MEDLINE | ID: mdl-16238733

ABSTRACT

AIMS: To evaluate the performances of models predicting the growth rate or the growth probability of Listeria monocytogenes in food. METHODS AND RESULTS: Cardinal and square root type models including or not interactions between environmental factors and probability models were evaluated for their ability to describe the behaviour of L. monocytogenes in liquid dairy products, cheese, meat and seafood products. Models excluding interactions seemed sufficient to predict the growth rate of L. monocytogenes. However, the accurate prediction of growth/no-growth limits needed to take interactions into account. A complete and a simplified form (preservatives deducted) of a new cardinal model including interactions and parameter values were suggested to predict confidence limits for the growth rate of L. monocytogenes in food. This model could also be used for the growth probability prediction. CONCLUSIONS: The new cardinal model including interactions was efficient to predict confidence limits for the growth rate of L. monocytogenes and its growth probability in liquid dairy products, meat and seafood products. In cheese, the model was efficient to predict the absence of growth of the pathogen. SIGNIFICANCE AND IMPACT OF THE STUDY: The suggested model can be used for risk assessment and risk management concerning L. monocytogenes in dairy, meat and seafood products.


Subject(s)
Dairy Products/microbiology , Food Microbiology , Listeria monocytogenes/growth & development , Meat/microbiology , Animals , Cattle , Cheese/microbiology , Colony Count, Microbial , Fishes/microbiology , Hydrogen-Ion Concentration , Lactic Acid/analysis , Meat Products/microbiology , Microbial Sensitivity Tests/methods , Milk/microbiology , Models, Biological , Poultry/microbiology , Probability , Seafood/microbiology , Swine , Temperature
16.
Appl Environ Microbiol ; 71(6): 2940-8, 2005 Jun.
Article in English | MEDLINE | ID: mdl-15932988

ABSTRACT

The effects of nine common food industry stresses on the times to the turbidity (T(d)) distribution of Listeria monocytogenes were determined. It was established that the main source of the variability of T(d) for stressed cells was the variability of individual lag times. The distributions of T(d) revealed that there was a noticeable difference in response to the stresses encountered by the L. monocytogenes cells. The applied stresses led to significant changes of the shape, the mean, and the variance of the distributions. The variance of T(d) of wells inoculated with single cells issued from a culture in the exponential growth phase was multiplied by at least 6 and up to 355 for wells inoculated with stressed cells. These results suggest stress-induced variability may be important in determining the reliability of predictive microbiological models.


Subject(s)
Heat-Shock Response , Listeria monocytogenes/growth & development , Listeria monocytogenes/physiology , Culture Media , Food-Processing Industry , Models, Biological , Time Factors
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