Predictive model with improved statistical analysis of interactive factors affecting the growth of Staphylococcus aureus 196E.

Author(s) : EIFERT J. D., GENNINGS C., CARTER W. H. Jr, DUNCAN S. E., HACKNEY C. R.

Type of article: Article

Summary

The predictive equation required the estimation of 23 parameters which describe singular and interactive effects of the growth factors studied. The model adequately predicted the growth of S. aureus 196E. A second model developed from a smaller subset of the growth data demonstrated that models could be produced with much less data collection. The effects of food formulations and storage conditions on the growth kinetics of foodborne pathogens or spoilage microorganisms could be predicted.

Details

  • Original title: Predictive model with improved statistical analysis of interactive factors affecting the growth of Staphylococcus aureus 196E.
  • Record ID : 1997-1497
  • Languages: English
  • Source: Journal of Food Protection - vol. 59 - n. 6
  • Publication date: 1996/06
  • Document available for consultation in the library of the IIR headquarters only.

Links


See other articles in this issue (1)
See the source