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J Baranyi

Publications and source records attributed to J Baranyi.

27 records · Page 2Linked to original sources
PubMed1996

A Combined Model for Growth and Subsequent Thermal Inactivation of Brochothrix thermosphacta.

A mathematical technique for integrating growth and thermal inactivation models of microorganisms into a smooth combined model that can be applied to circumstances under which the temperature gradually rises from growth to inactivation regions is described. For the death part of the model, a correction term is introduced to allow for additional resistance of the cells gained during slow heating. The model was validated with Brochothrix thermosphacta heated in broth at rising temperatures.

Journal Article↗
PubMed1995

A response surface study on the role of some environmental factors affecting the growth of Saccharomyces cerevisiae.

The combined effect of pH, ethanol and fructose on the growth of Saccharomyces cerevisiae at 25 degrees C was studied by the standard Response Surface Methodology. Canonical analysis of the obtained response surface led to the conclusion that the effects of ethanol and fructose can be described by a single factor, the value of water activity, which can be calculated from the other two. Therefore the number of explanatory variables can be reduced. The computational usefulness of the transformation bw = square root of (1-aw) is demonstrated.

Ethanol↗
PubMed1995

Mathematics of predictive food microbiology.

Commonly encountered problems related to modelling bacterial growth in food are analysed from a mathematical point of view. Modelling techniques and terms, some misused, are discussed and an attempt is made to clarify how, and under what conditions, they may be used. A theoretical framework is given to provide a basis in which mathematical models having been used in predictive microbiology can be embedded. By using several simplifying idealizations as a compromise between the complexity of the biological system and the available data, a practically usable model becomes available.

Bacteria↗
PubMed1995

Predicting growth of Brochothrix thermosphacta at changing temperature.

A dynamic growth model was tested using Brochothrix thermosphacta incubated in broth at changing temperatures. The model successfully predicted growth in the temperature range 5-25 degrees C when temperature increased or decreased gradually and also when temperature underwent frequent sudden changes. When the temperature profile contained step changes from 20-25 degrees C to 3 degrees C the observed growth curve deviated from that predicted by the model.

Food Microbiology↗
PubMed1994

A dynamic approach to predicting bacterial growth in food.

A new member of the family of growth models described by Baranyi et al. (1993a) is introduced in which the physiological state of the cells is represented by a single variable. The duration of lag is determined by the value of that variable at inoculation and by the post-inoculation environment. When the subculturing procedure is standardized, as occurs in laboratory experiments leading to models, the physiological state of the inoculum is relatively constant and independent of subsequent growth conditions. It is shown that, with cells with the same pre-inoculation history, the product of the lag parameter and the maximum specific growth rate is a simple transformation of the initial physiological state. An important consequence is that it is sufficient to estimate this constant product and to determine how the environmental factors define the specific growth rate without modelling the environment dependence of the lag separately. Assuming that the specific growth rate follows the environmental changes instantaneously, the new model can also describe the bacterial growth in an environment where the factors, such as temperature, pH and aw, change with time.

Bacteria↗
PubMed1994

Predicting fungal growth: the effect of water activity on Aspergillus flavus and related species.

Growth of four species belonging to Aspergillus Section Flavi (A. flavus, A. oryzae, A. parasiticus and A. nomius) was studied at 30 degrees C at ten water activities (aw) between 0.995 and 0.810 adjusted with equal mixtures of glucose and fructose. Colony diameters were measured at intervals and plotted against time. A flexible growth model describing the change in colony diameter (mm) with respect to time was first fitted to the measured growth data and from the fitted curves the maximum colony growth rates were calculated. These values were then fitted with respect to aw to predict colony growth rates at any aw within the range tested. The optimum aw for each species and time to reach a colony diameter of 3 mm were also calculated.

Aspergillus flavus↗
PubMed1994

Recovery of heat-injured Listeria monocytogenes.

Concern has been expressed that the ability of heat-injured Listeria monocytogenes cells to resuscitate during refrigerated storage of food may lead to underestimation of their heat resistance. The recovery of heat-injured L. monocytogenes was therefore examined as a function of incubation temperature and composition of recovery medium. Heat-injured cells exhibited a broad optimum temperature for recovery centered around 20-25 degrees C. The best recovery medium of those tested was blood agar. Incubation of cells in broth or chicken slurry at 5 degrees C (cold-enrichment) did not allow repair of potentially lethal injury i.e. it did not allow recovery of cells that would otherwise have died if incubated at a higher temperature. In some cases incubation of heat-injured cells at 5 degrees C resulted in death of a proportion of the population. Repair of sublethal heat-injury, measured as the time of incubation in tryptone soya broth needed to regain the ability to grow on Listeria selective agar, was slower and less complete at 25 degrees C than at 2 degrees C; repair took 10-15 h at 25 degrees C compared with 8-12 days at 5 degrees C. Refrigeration of heat-treated foods should not therefore increase the risk that heat-injured cells will recover from the heat treatment.

Colony Count, Microbial↗
PubMed1993

A predictive model for the combined effect of pH, sodium chloride and storage temperature on the growth of Brochothrix thermosphacta.

Growth of Brochothrix thermosphacta was observed under ranges of pH (5.6-6.8), NaCl (0.5-8.0% w/v) and incubation temperature (1-30 degrees C). In order to compare different approaches, two models were used to fit growth curves to viable count data, and to calculate parameters from those fitted curves. Growth responses as a function of pH, NaCl and temperature were described with a quadratic function which was then used to predict growth within the limits where growth was observed. The predictions of the model show good agreement with published observations from other laboratories.

Cell Division↗