Linton, Richard Howard2014-03-142014-03-141994-05-05etd-06062008-164544http://hdl.handle.net/10919/27971Numerous examples of non-linear survival curves, plotted as log surviving cells vs. time, for bacteria exposed to heat have been reported. Factors which may affect the shape of a survival curve and the heat resistance of bacteria include temperature, pH, and NaCl concentration. Many studies have examined the effect of these factors individually, but little information exists on the combined effects. The objective of this study was to mathematically model non-linear survival curves to account for these factors and their interactions simultaneously. Heat resistance of <u>Listeria monocytogenes</u>(L. <u>monocytogenes</u>) was determined in O.lM KH₂P0₄ buffer and in infant formula at three temperatures (50, 55, and 60 C), three pH levels (5, 6, and 7), and three NaCl concentrations (0, 2, 4%). Survival curves were fit using linear regression, non-linear regression with a modified logistic equation, and non-linear regression with a modified Gompertz equation.xiii, 189 leavesBTDapplication/pdfenIn CopyrightLD5655.V856 1994.L568Food -- Microbiology -- Mathematical modelsListeria monocytogenes -- Effect of temperature on -- Mathematical modelsListeria monocytogenes -- Mortality -- Mathematical modelsDissertationhttp://scholar.lib.vt.edu/theses/available/etd-06062008-164544/