Warianty tytułu
Języki publikacji
Abstrakty
Salmonella Enteritidis culture was subjected to heat or microwave treatment to obtain bacteria reduction by 4, 5, and 6 log units. Control, heated and microwaving micro-organisms were incubated in a nutrient broth at 10°C for 432 h. Growth-curve parameters were calculated using Gompertz and Baranyi equations. It was found that in most cases untreated salmonellae had a shorter generation time, a higher exponential growth rate, and a higher maximum growth rate than heated and microwaving bacteria. Growth of bacteria subjected to microwave treatment was more dynamic than that of bacteria subjected to conventional heating. It was expressed by statistically-significant differences in generation time and exponential growth rate calculated by the Gompertz equation, as well as maximum growth rate calculated by the Baranyi model for both compared groups of salmonellae.
Słowa kluczowe
Wydawca
Rocznik
Tom
Numer
Opis fizyczny
p.627-632,fig.,ref.
Twórcy
autor
- Department of Food Hygiene and Public Health, Faculty of Veterinary Medicine, University of Life Sciences - SGGW, 02-776 Warsaw, Poland
autor
- Department of Food Hygiene and Public Health, Faculty of Veterinary Medicine, University of Life Sciences - SGGW, 02-776 Warsaw, Poland
autor
- Department of Food Hygiene and Public Health, Faculty of Veterinary Medicine, University of Life Sciences - SGGW, 02-776 Warsaw, Poland
Bibliografia
- 1. Baranyi J., Roberts T.A.: A dynamic approach to predicting bacterial growth in food. Int J Food Microbiol 1994, 23, 277-294.
- 2. Beaufort A., Cornu M., Bergis H., Lardeux A.L., Lombard B.: Technical guidance document on shelf-life studies for Listeria monocytogenes in ready-to-eat foods. AFSSA (Agence Française de Sécurtité Sanitaire des Aliments). EU Community Reference Laboratory for Listeria monocytogenes. Version 2 - November 2008.
- 3. Dastidar S.G.: Gompertz, a Scilab Program for Estimating Gompertz Curve Using Gauss-Newton Method of Least Square. J Stat Software 2006, 15, 12. Available at http://www.jstatsoft.org/.
- 4. European Commission. Health & Consumer Protection Directorate-General. Risk assessment of food borne bacterial pathogens: Quantitative methodology relevant for human exposure assessment. 2003. Available at http://ec.europa.eu/food/fs/sc/ssc/out308_en.pdf.
- 5. Gibson A.M., Bratchell N., Roberts T.A.: Predicting microbial growth: growth responses of salmonellae in a laboratory medium as affected by pH, sodium chloride and storage temperature. Int J Food Microbiol 1988, 6, 155-178.
- 6. La Cara F., Scarffi M.R., D'Auria S., Massa R., d'Ambrosio G., Franceschetti G., Rossi M., De Rosa M.: Different effects of microwave energy and conventional heat on the activity of a thermophilic β-galactosidase from Bacillus acidocaldarius. Bioelectromagnetics 1999, 20, 172-176.
- 7. López S., Prieto M., Dijkstra J., Ghanoa M.S., France J.: Statistical evaluation of mathematical models for microbial growth. Int J Food Microbiol 2004, 96, 289- 300.
- 8. Mackey B.M., Derrick C.M.: Conductance measurements of the lag phase of injured Salmonella Typhimurium. J Appl Bacteriol 1984, 57, 299-308.
- 9. Mackey B.M., Derrick C.M.: The effect of sublethal injury by heating, freezing, drying and gamma - radiation on the duration of the lag phase of Salmonella Typhimurium. J Appl Bacteriol 1982, 53, 243-251.
- 10. Parosa R.: Mikrofale w przemyśle spożywczym. Przem Spoż 2007, 61, 15-19.
- 11. Ramaswamy H., Tang J.: Microwave and radio frequency heating. Food Sci Technol Int 2008, 14, 423-427.
- 12. Sofos J.N.: Challenges to meat safety in the 21st century. Meat Sci 2008, 78, 3-13.
- 13. Szczawińska M., Szczawiński J., Szulc M.: The survival of irradiated bacteria during conventional methods of meat preservation. Archiv für Lebensmittelhygiene 1983, 34, 53-58.
- 14. Szczawińska M., Szczawiński J., Szulc M.: Effect of ionizing radiation on survival of Salmonella in refrigerated meat. Medycyna Wet 1982, 38, 655-658.
- 15. Szczawiński J., Klusek A., Szczawińska M. E.: Growth responses of Salmonella Enteritidis subjected to heat or high pressure treatment in a laboratory medium. High Press Res 2009, 29, 141-149.
- 16. USDA. Pathogen Modeling Program Version 6.1. Agricultural Research Service USA, 2005, software available at http://ars.usda.gov/Services/docs.
- 17. Whiting R.C.: Microbiological modeling. CRC Crit Rev Food Sci Nutr 1995, 35, 467-494.
- 18. Wilson P. D. G.: MicroFit v.1.0. Institute of Food Research, Norwich Research Park Colney, Available at http://www.ifr.ac.uk/microfit/mufitdoc.pdf.
- 19. Zaika L.L., Phillips J.G., Fanelli J.S., Scullen O.J.: Revised model for aerobic growth of Shigella flexneri to extend the validity of predictions at temperatures between 10 and 19°C. Int J Food Microbiol 1998, 41, 9-19.
- 20. Zwietering M.H., Jongenburger I., Rombouts F.M., van't Riet K.: Modeling of the bacterial growth curve. Appl Environ Microbiol 1990, 56, 1875-1881.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.agro-4534c747-b8f1-49ca-bb30-ae843dd8ed4c