Quantification of hurdles: predicting the combination of effects -- Interaction vs. non-interaction.

作者: Eva Bidlas , Ronald J.W. Lambert

DOI: 10.1016/J.IJFOODMICRO.2008.06.030

关键词:

摘要: Combination of disparate as well related antimicrobial effects constitutes the concept hurdle technology. Quantification combined effects, including claims synergy, can be accomplished using surface response modelling, is frequently done and reported. The Gamma hypothesis, however, states that relative different factors combine independently. Studies performed time to detection have shown hypothesis an adequate foundation for analysis multi-factor environmental stresses placed on microorganisms, pH, weak acids temperature. Data from action Na acetate pH Aeromonas hydrophila, acetate/pH , K sorbate/pH acetate/K sorbate at 6.5, 6.0 5.5 Escherichia coli temperature Enterobacter sakazakii were examined nominal logistic modelling (RS) by a model. model used in predictive manner unlike RS models parameters approximated fit observed data. expansion explains occurrence statistically significant cross terms polynomials. emphasis within literature seeking interactions or synergies between should replaced with one emphasising falsification approach. This examining ratios gamma when combination, but this also requires use appropriate functions do this.

参考文章(35)
T. Ohlsson, N. Bengtsson, E. Skyttä, R. Ahvenainen, H. Alakomi, I. Helander, The hurdle concept. Minimal processing technologies in the food industry.. pp. 175- 195 ,(2002)
L. Leistner, Principles and applications of hurdle technology New Methods of Food Preservation. pp. 1- 21 ,(1995) , 10.1007/978-1-4615-2105-1_1
Modeling Microbial Responses in Food Modeling microbial responses in food.. ,(2003) , 10.1201/9780203503942
L COROLLER, V GUERROT, V HUCHET, Y LEMARC, P MAFART, D SOHIER, D THUAULT, Modelling the influence of single acid and mixture on bacterial growth. International Journal of Food Microbiology. ,vol. 100, pp. 167- 178 ,(2005) , 10.1016/J.IJFOODMICRO.2004.10.014
DA Ratkowsky, T Ross, TA McMeekin, J Olley, None, Comparison of Arrhenius‐type and Bêlehrádek‐type models for prediction of bacterial growth in foods Journal of Applied Microbiology. ,vol. 71, pp. 452- 459 ,(1991) , 10.1111/J.1365-2672.1991.TB03816.X
George E P Box, Norman R Draper, Empirical Model-Building and Response Surfaces ,(1987)
F. C. Odds, Synergy, antagonism, and what the chequerboard puts between them Journal of Antimicrobial Chemotherapy. ,vol. 52, pp. 1- 1 ,(2003) , 10.1093/JAC/DKG301
Jean-Christophe Augustin, Vincent Carlier, Modelling the growth rate of Listeria monocytogenes with a multiplicative type model including interactions between environmental factors. International Journal of Food Microbiology. ,vol. 56, pp. 53- 70 ,(2000) , 10.1016/S0168-1605(00)00224-5