Develop Mechanistic Models of Transition Periods between Lag/Exponential and Exponential/Stationary Phase |
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Affiliation: | 1. Department of Nutrition and Food Science, College of Agriculture and Natual Resources, University of Maryland, College Park, MD USA;2. Center for Food Safety and Security Systems, University of Maryland, College Park, MD USA |
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Abstract: | A continuing goal in predictive microbiology is models directly based on physiological behavior. Buchanan et al.1 hypothesized that (1) the curvilinear lag/exponential transition represents the variability of cells in the adjustment (ta) and metabolic (tm) periods, and (2) the exponential/stationary transition is determined by limiting nutrient diffusion rates. Nutritional shift trials were conducted to estimate E.coli K-12 growth. Lactase production time suggest that lactase gene translation occurs after completion of lag phase. Agitation rates and inoculum sizes both influenced the shape of the exponential/stationary phase transition. Monte Carlo simulations allowed the generation of sigmoidal growth curves while considering physiological events. |
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Keywords: | Predictive microbiology lag phase exponential phase stationary phase transition period |
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