Estimation of Staphylococcus aureus growth parameters from turbidity data: Characterization of strain variation and comparison of methods

Applied and Environmental Microbiology

Volumn 72, Issue 7, 2006, Pages 4862-4870

  Lindqvist, R ^a  

^a NATIONAL FOOD ADMINISTRATION   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

CELL CULTURE; DATA REDUCTION; PARAMETER ESTIMATION; RISK ASSESSMENT; STATISTICAL METHODS; TURBIDITY;

BROILER CARCASSES; DATA SETS; GROWTH CURVES; GROWTH RATES;

BACTERIA;

BACTERIUM; GROWTH DETERMINATION; GROWTH MODELING; TURBIDITY;

ACCURACY; ANALYSIS OF VARIANCE; ARTICLE; BACTERIAL COUNT; BACTERIAL GROWTH; BACTERIAL STRAIN; BACTERIUM CULTURE; BACTERIUM ISOLATE; BIOTYPE; CARCASS; CELL VIABILITY; CHICKEN; CULTURE MEDIUM; DILUTION; GROWTH CURVE; GROWTH RATE; INTERMETHOD COMPARISON; LOGISTIC DISTRIBUTION; LOGNORMAL DISTRIBUTION; NONHUMAN; PARAMETER; PREDICTION; RISK ASSESSMENT; STAPHYLOCOCCUS AUREUS; STATISTICAL DISTRIBUTION; TURBIDITY;

ANIMALS; BACTERIOLOGICAL TECHNIQUES; CHICKENS; COLONY COUNT, MICROBIAL; CULTURE MEDIA; NEPHELOMETRY AND TURBIDIMETRY; STAPHYLOCOCCUS AUREUS;

STAPHYLOCOCCUS AUREUS;

EID: 33746036493     PISSN: 00992240     EISSN: None     Source Type: Journal    
DOI: 10.1128/AEM.00251-06     Document Type: Article

References (33)

1. Augustin, J. C., L. Rosso, and V. Carlier. 1999. Estimation of temperature dependent growth rate and lag time of Listeria monocytogenes by optical density measurements. J. Microbiol. Methods 38:137-146.
2. Baranyi, J., and C. Pin. 1999. Estimating bacterial growth parameters by means of detection times. Appl. Environ. Microbiol. 65:732-736.
3. Baranyi, J., and T. A. Roberts. 1995. Mathematics of predictive food microbiology. Int. J. Food Microbiol. 26:199-218.
4. Barbosa, W. B., L. Cabedo, H. J. Wederquist, J. N. Sofos, and G. R. Schmidt. 1994. Growth variation among species and strains of Listeria in culture broth. J. Food Prot. 57:765-769.
5. Baty, F., J. P. Flandrois, and M. L. Delignette-Muller. 2002. Modeling the lag time of Listeria monocytogenes from viable count enumeration and optical density data. Appl. Environ. Microbiol. 68:5816-5825.
6. Begot, C., I. Lebert, and A. Lebert. 1997. Variability of the response of 66 Listeria monocytogenes and Listeria innocua strains to different growth conditions. Food Microbiol. 14:403-412.
7. Buchanan, R. L., J. L. Smith, C. McColgan, B. S. Marmer, M. Golden, and B. Dell. 1993. Response surface models for the effects of temperature, pH, sodium chloride, and sodium nitrite on the aerobic and anaerobic growth of Staphylococcus aureus 196E. J. Food Saf. 13:159-175.
8. Castillejo-Rodriguez, A. M., R. M. Gimeno, G. Z. Cosano, E. B. Alcala, and M. R. Perez. 2002. Assessment of mathematical models for predicting Staphylococcus aureus growth in cooked meat products. J. Food Prot. 65:659-665.
9. Cuppers, H. G. A. M., and J. P. P. M. Smelt. 1993. Time to turbidity measurement as a tool for modeling spoilage by Lactobacillus. J. Ind. Microbiol. 12:168-171.
10. Dalgaard, P., and K. Koutsoumanis. 2001. Comparison of maximum specific growth rates and lag times estimated from absorbance and viable count data by different mathematical models. J. Microbiol. Methods 43:183-196.
11. De Jesus, A. J., and R. C. Whiting. 2003. Thermal inactivation, growth, and survival studies of Listeria monocytogenes strains belonging to three distinct genotypic lineages. J. Food Prot. 66:1611-1617.
12. Delignette-Muller, M. L., F. Baty, M. Cornu, and H. Bergis. 2005. Modelling the effect of a temperature shift on the lag phase duration of Listeria monocytogenes. Int. J. Food Microbiol. 100:77-84.
13. Dengremont, E., and J. M. Membré. 1995. Statistical approach for comparison of the growth rates of five strains of Staphylococcus aureus. Appl. Environ. Microbiol. 61:4389-4395.
14. Devriese, L. A. 1984. A simplified system for biotyping Staphylococcus aureus strains isolated from different animal species. J. Appl. Bacteriol. 56:215-220.
15. FAO/WHO. 1991. Risk management and food safety. FAO Food and Nutrition Paper number 65. Food and Agriculture Organization, Rome, Italy.
16. Fehlhaber, K., and G. Kruger. 1998. The study of Salmonella enteritidis growth kinetics using rapid automated bacterial impedance technique. J. Appl. Microbiol. 84:945-949.
17. Francois, K., F. Devlieghere, A. R. Standaert, A. H. Geeraerd, I. Cools, J. F. Van Impe, and J. Debevere. 2005. Environmental factors influencing the relationship between optical density and cell count for Listeria monocytogenes. J. Appl. Microbiol. 99:1503-1515.
18. Kloos, W. E., and K. H. Schleifer. 1975. Simplified scheme for routine identification of human Staphylococcus species. J. Clin. Microbiol. 1:82-88.
19. Koch, A. L. 1994. Growth measurement, p. 248-277. In P. Gerhardt, R. G. E. Murray, W. A. Wood, and N. R. Krieg (ed.), Methods for general and molecular bacteriology. American Society for Microbiology, Washington, D.C.
20. Lammerding, A. M., and A. Fazil. 2000. Hazard identification and exposure assessment for microbial food safety risk assessment. Int. J. Food Microbiol. 58:147-157.
21. Nauta, M. J. 2002. Modelling bacterial growth in quantitative microbiological risk assessment: is it possible? Int. J. Food Microbiol. 73:297-304.
22. O'Riordan, K., and J. C. Lee. 2004. Staphylococcus aureus capsular polysaccharides. Clin. Microbiol. Rev. 17:218-234.
23. Oscar, T. P. 2000. Variation of lag time and specific growth rate among 11 strains of Salmonella inoculated onto sterile ground chicken breast burgers and incubated at 25°C. J. Food Saf. 20:225-236.
24. Poutrel, B., F. B. Gilbert, and M. Lebrun. 1995. Effects of culture conditions on production of type 5 capsular polysaccharide by human and bovine Staphylococcus aureus strains. Clin. Diagn. Lab. Immunol. 2:165-171.
25. Poutrel, B., P. Rainard, and P. Sarradin. 1997. Heterogeneity of cell-associated CP5 expression on Staphylococcus aureus strains demonstrated by flow cytometry. Clin. Diagn. Lab. Immunol. 4:275-278.
26. Rattanasomboon, N., S. R. Bellara, C. L. Harding, P. J. Fryer, C. R. Thomas, M. Al-Rubeai, and C. M. McFarlane. 1999. Growth and enumeration of the meat spoilage bacterium Brochothrix thermosphacta. Int. J. Food Microbiol. 51:145-158.
27. Ross, T., and T. A. McMeekin. 2003. Modeling microbial growth within food safety risk assessments. Risk Anal. 23:179-197.
28. Ross, T., T. A. McMeekin, and J. Baranyi. 2000. Predictive microbiology and food safety, p. 1699-1710. In R. K. Robinson, C. A. Batt, and P. D. Patel (ed.), Encyclopedia of food microbiology, vol. 3. Academic Press, New York, N.Y.
29. Stewart, C. M., M. B. Cole, J. D. Legan, L. Slade, M. H. Vandeven, and D. W. Schaffher. 2001. Modeling the growth boundary of Staphylococcus aureus for risk assessment purposes. J. Food Prot. 64:51-57.
30. Vilhelmsson, O., and K. J. Miller. 2002. Humectant permeability influences growth and compatible solute uptake by Staphylococcus aureus subjected to osmotic stress. J. Food Prot. 65:1008-1015.
31. Vose, D. 1998. The application of quantitative risk assessment to microbial food safety. J. Food Prot. 61:640-648.
32. Vose, D. 2000. Risk analysis: a quantitative guide, 2nd ed. John Wiley & Sons, Ltd., New York, N.Y.
33. Whiting, R. C., and M. H. Golden. 2002. Variation among Escherichia coli O157:H7 strains relative to their growth, survival, thermal inactivation, and toxin production in broth. Int. J. Food Microbiol. 75:127-133.