Article Abstract:
The square root and Schoolfield models are equations used to predict bacterial growth rate as a function of temperature. Several variations of these two models and the resulting statistical consequences were evaluated. The results showed that growth rate variance increased as a function of temperature. To compensate for the increased probable error, the natural logarithm transformation was more effective than the square root transformation. However, when natural logarithm transformations were employed for both models, the square root model was more accurate than the Schoolfield model.
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Article Abstract:
The expression of the cel operon in Escherichia coli, Salmonella typhimurium and Pseudomonas aeroginosa was examined in different temperature regimes. In all the organisms, the cel operon was expressed at elevated temperatures of 48 to 54 degrees celcius. No expression was detected at the mesophilic temperatures. The results show that the expression of the cel operon is regulated by temperature at the transcriptional level. The decryptification of the cel operon may be achieved by temperature-altered DNA superhelicity.
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Article Abstract:
A model for predicting the growth of salmonellae on beef tissue surfaces was developed. The model was based on the temperature function integration technique, which uses temperature data loggersto record the temperature history of beef carcasses, and using these data to predict the growth of the bacteria. The model was tested on typical beef carcass-cooling situations, and showed no significant differences between predicted and observed bacterial populations.
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