

@article {9103,
	title = {{Effects of temperature, ph, glucose, and citric acid on the inactivation of salmonella typhimurium in reduced calorie mayonnaise}},
	journal = {Journal of Food Protection},
	volume = {60},
	number = {12},
	year = {1997},
	pages = {1497{\textendash}1501},
	abstract = {A Salmonella typhimurium strain was inoculated in reduced calorie mayonnaise. A central composite design was implemented to assess the effects of temperature (15 to 35{\textdegree}C), pH (4.5 to 6.5), glucose (1 to 4{\%} [wt/vol]), and citric acid (0.05 to 0.1{\%} [wt/vol]) on the inactivation of Salmonella. Whatever the conditions, an inhibition of the strain was obtained, but only after a long period of time, from 11 to 85 days. In this study, as the survival curves obtained did not follow typical first -order destruction kinetics, the primary model chosen was exponential. A second-order polyno- mial linear regression was then used to study the effects of the various factors on the inhibition of S. typhimurium. Estimated values of the k parameter, which represented the shape of the destruction curves, were well correlated with the predicted ones (R2 = 0.94). Generally, the higher the temperature with a low pH, the greater the inactivation. With a citric acid concentration of 0.09{\%} (wt/vol), no glucose effect could be seen. In contrast, a lower acid concentration, 0.06{\%} (wt/vol), enabled the higher level of destruction to be reached with a 3.5{\%} (wt/vol) glucose concen- tration. This study documented that reduced calorie mayonnaise containing citric acid can represent a nonnegligible consumer safety risk and indicated that a well-fitted model is of interest to correctly predict this risk. Key},
	keywords = {affected by storage, and lag period as, as the growth rate, generally, growth parameters such, mathematical equations to estimate, microbial inactivation, Modeling, Salmonella, the predictive microbiological approach, uses},
	author = {Membre, J M and Majchrzak, V and Jolly, I}
}
