Modeling lactic acid bacteria growth in vacuum-packaged cooked meat emulsions stored at three temperatures

Abstract The effect of three storage temperatures on the growth of lactic acid bacteria (LAB) in cooked meat emulsions packaged in low oxygen permeability film was investigated. Bacterial counts at 0°C, 8°C and 15°C were fitted to the Gompertz equation and the maximum specific growth rate ( μ ) was obtained as derived parameter, this value being maximal at 15°C (1.16 days −1 ). Arrhenius and root square models were used to describe the effect of different storage temperatures on maximum specific growth rate. The models were statistically validated and the mean square error (MSE), coefficient of determination ( R 2 ), bias factor and accuracy factor were used to evaluate and compare the performance of predictive models. The effect of temperature was better interpreted by root square model than by Arrhenius type model, showing the least deviations from the observed value, which would lead to “fail-safe” prediction of shelf-life. Since the final number of LAB did not show significant changes with storage temperature after 25 days, a temperature abuse during storage will not result in an increase of spoilage by LAB.

[1]  H. Korkeala,et al.  Microbiological Spoilage and Contamination of Vacuum-Packaged Cooked Sausages. , 1997, Journal of food protection.

[2]  P Dalgaard,et al.  Predicted and observed growth of Listeria monocytogenes in seafood challenge tests and in naturally contaminated cold-smoked salmon. , 1998, International journal of food microbiology.

[3]  N. Zaritzky,et al.  Mathematical modelling of microbial growth in packaged refrigerated beef stored at different temperatures. , 1998, International journal of food microbiology.

[4]  J. Samelis,et al.  Selective effect of the product type and the packaging conditions on the species of lactic acid bacteria dominating the spoilage microbial association of cooked meats at 4°C , 2000 .

[5]  J Olley,et al.  Application of predictive microbiology to assure the quality and safety of fish and fish products. , 1992, International journal of food microbiology.

[6]  Tom Ross,et al.  Predictive Microbiology : Theory and Application , 1993 .

[7]  K van't Riet,et al.  Modeling of bacterial growth as a function of temperature , 1991, Applied and environmental microbiology.

[8]  J Olley,et al.  Relationship between temperature and growth rate of bacterial cultures , 1982, Journal of bacteriology.

[9]  C. Franz,et al.  Thermotolerance of meat spoilage lactic acid bacteria and their inactivation in vacuum-packaged vienna sausages. , 1996, International journal of food microbiology.

[10]  Sergio F. Almonacid-Merino,et al.  Mathematical models to evaluate temperature abuse effects during distribution of refrigerated solid foods , 1993 .

[11]  J. Sutherland,et al.  Predictive modelling of Escherichia coli O157:H7: inclusion of carbon dioxide as a fourth factor in a pre-existing model. , 1997, International journal of food microbiology.

[12]  S. Barbut,et al.  Modeling the survival of Escherichia coli O157:H7 in uncooked, semidry, fermented sausage. , 2001, Journal of food protection.

[13]  M. H. Zwietering,et al.  Evaluation of Data Transformations and Validation of a Model for the Effect of Temperature on Bacterial Growth , 1994, Applied and environmental microbiology.

[14]  T. Ross,et al.  Validation of a model describing the effects of temperature and water activity on the growth of psychrotrophic pseudomonads. , 1997, International journal of food microbiology.

[15]  A. P. Williams,et al.  Temperature/growth relationships for psychrotrophic food-spoilage bacteria , 1985 .

[16]  R. C. Whiting,et al.  Development and validation of a dynamic growth model for Listeria monocytogenes in fluid whole milk. , 1999, Journal of food protection.

[17]  M. Peck,et al.  Predictive model of the effect of temperature, pH and sodium chloride on growth from spores of non-proteolytic Clostridium botulinum. , 1996, International journal of food microbiology.

[18]  Roger W. Payne,et al.  A General Algorithm for Analysis of Variance , 1977 .

[19]  Robert L. Buchanan,et al.  Developing and distributing user-friendly application software , 1993, Journal of Industrial Microbiology.

[20]  D. Martens,et al.  Modelling the interactions between Lactobacillus curvatus and Enterobacter cloacae. I. Individual growth kinetics. , 1999, International journal of food microbiology.

[21]  M. Zwietering,et al.  Modelling Bacterial Growth of Lactobacillus curvatus as a Function of Acidity and Temperature , 1995, Applied and environmental microbiology.

[22]  R. C. Whiting,et al.  Microbial modeling in foods. , 1995, Critical reviews in food science and nutrition.

[23]  J. Sutherland,et al.  Predictive modelling of growth of Yersinia enterocolitica: the effects of temperature, pH and sodium chloride. , 1994, International journal of food microbiology.

[24]  H. Korkeala,et al.  Shelf-life of vacuum-packed cooked ring sausages at different chill temperatures. , 1989, International journal of food microbiology.

[25]  M C te Giffel,et al.  Validation of predictive models describing the growth of Listeria monocytogenes. , 1999, International journal of food microbiology.

[26]  E. Borch,et al.  Bacterial spoilage of meat and cured meat products. , 1996, International journal of food microbiology.

[27]  J Baranyi,et al.  Predicting growth of Brochothrix thermosphacta at changing temperature. , 1995, International journal of food microbiology.

[28]  J. V. Van Impe,et al.  Effect of dissolved carbon dioxide and temperature on the growth of Lactobacillus sake in modified atmospheres. , 1998, International journal of food microbiology.

[29]  T. Ross Indices for performance evaluation of predictive models in food microbiology. , 1996, The Journal of applied bacteriology.

[30]  T. A. Roberts,et al.  Predictive modelling of growth of Staphylococcus aureus: the effects of temperature, pH and sodium chloride. , 1994, International journal of food microbiology.

[31]  D. Martens,et al.  Mixed cultures and shelf-life predictions , 1999 .

[32]  J. Sutherland,et al.  Preparation and validation of a growth model for Bacillus cereus: the effects of temperature, pH, sodium chloride and carbon dioxide. , 1996, International journal of food microbiology.

[33]  M. Griffiths,et al.  The relation between temperature and growth of bacteria in dairy products , 1987 .