2009
DOI: 10.1080/10408390903116764
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The Key Events Dose-Response Framework: Its Potential for Application to Foodborne Pathogenic Microorganisms

Abstract: The Key Events Dose-Response Framework (KEDRF) is an analytical approach that facilitates the use of currently available data to gain insight regarding dose-response relationships. The use of the KEDRF also helps identify critical knowledge gaps that once filled, will reduce reliance on assumptions. The present study considers how the KEDRF might be applied to pathogenic microorganisms, using fetal listeriosis resulting from maternal ingestion of food contaminated with L. monocytogenes as an initial example. M… Show more

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Cited by 47 publications
(53 citation statements)
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“…A 3-ml aliquot of each diluted bacterial suspension (ϳ10 7 CFU/ml), prepared as described above, was added to 27 ml SGF maintained at 37°C to obtain an initial concentration of 6 CFU/ml in SGF. The mixture was incubated at 37°C in a water bath for 240 min, and sampling (1 ml) was carried out after 10,20,30,45,60,90,120,150,180, and 240 min. Samples serially diluted in 0.1% peptone water (0.1 ml) were plated in duplicates onto Trypticase soy agar (TSA; Merck).…”
Section: Methodsmentioning
confidence: 99%
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“…A 3-ml aliquot of each diluted bacterial suspension (ϳ10 7 CFU/ml), prepared as described above, was added to 27 ml SGF maintained at 37°C to obtain an initial concentration of 6 CFU/ml in SGF. The mixture was incubated at 37°C in a water bath for 240 min, and sampling (1 ml) was carried out after 10,20,30,45,60,90,120,150,180, and 240 min. Samples serially diluted in 0.1% peptone water (0.1 ml) were plated in duplicates onto Trypticase soy agar (TSA; Merck).…”
Section: Methodsmentioning
confidence: 99%
“…To solve differential equation 1, the r max was transformed to the specific inactivation rate (k max ) using a natural logarithm. The relationship between them is as follows: k max ϭ r max ϫ ln (10), where ln is the natural logarithm. The effect of the SGF pH on the absolute value of k max can be described by using the following simple square-root-type model as follows (36) …”
Section: Methodsmentioning
confidence: 99%
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“…Short-term strategies identified during this workshop included updating the doseresponse model developed by FDA/FSIS (4) by incorporating new data and insights about differences in strain virulence and L. monocytogenes pathophysiology. A key-events approach to dose-response modeling (29) was identified as a promising though extremely challenging, data-intensive, and potentially unachievable framework for future microbial doseresponse models. (2) Current dose-response models linked to epidemiological data tend to agree that a low dose of L. monocytogenes leads to an average low probability of invasive listeriosis in the general population as well as in broadly defined populations with heightened susceptibility.…”
Section: Introductionmentioning
confidence: 99%