A Prototype Model Structure for Mixed Microbial Populations in Homogeneous Food Products

Dens, E; Vereecken, K.M; Impe, Jan Van

doi:10.1006/jtbi.1999.1021

Cited by 45 publications

(29 citation statements)

References 11 publications

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“…For example, Kreft et al [1998Kreft et al [ , 2001 have used individual-based models (IBM) to quantitatively simulate bacterial growth and cell-level interaction of complex microbial communities with their immediate environment. Others have developed practical models with the main emphasis on the description of the population level behavior and growth for different disciplines, for instance, to control the level of pathogens in food products [Dens et al, 1999;Van Impe et al, 2013] and to quantify the growth of fungi in soil pores [Ritz and Crawford, 1990;Boswell et al, 2003]. Young and Crawford [2004] have postulated the role of interactions between biotic and abiotic factors on microbial self-organization and sustaining functionality.…”

Section: Introductionmentioning

confidence: 99%

Microbial dispersal in unsaturated porous media: Characteristics of motile bacterial cell motions in unsaturated angular pore networks

Ebrahimi

2014

Water Resources Research

110

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The dispersal rates of self-propelled microorganisms affect their spatial interactions and the ecological functioning of microbial communities. Microbial dispersal rates affect risk of contamination of water resources by soil-borne pathogens, the inoculation of plant roots, or the rates of spoilage of food products. In contrast with the wealth of information on microbial dispersal in water replete systems, very little is known about their dispersal rates in unsaturated porous media. The fragmented aqueous phase occupying complex soil pore spaces suppress motility and limits dispersal ranges in unsaturated soil. The primary objective of this study was to systematically evaluate key factors that shape microbial dispersal in model unsaturated porous media to quantify effects of saturation, pore space geometry, and chemotaxis on characteristics of principles that govern motile microbial dispersion in unsaturated soil. We constructed a novel 3-D angular pore network model (PNM) to mimic aqueous pathways in soil for different hydration conditions; within the PNM, we employed an individual-based model that considers physiological and biophysical properties of motile and chemotactic bacteria. The effects of hydration conditions on first passage times in different pore networks were studied showing that fragmentation of aquatic habitats under dry conditions sharply suppresses nutrient transport and microbial dispersal rates in good agreement with limited experimental data. Chemotactically biased mean travel speed of microbial cells across 9 mm saturated PNM was $3 mm/h decreasing exponentially to 0.45 mm/h for the PNM at matric potential of 215 kPa (for 235 kPa, dispersal practically ceases and the mean travel time to traverse the 9 mm PNM exceeds 1 year). Results indicate that chemotaxis enhances dispersal rates by orders of magnitude relative to random (diffusive) motions. Model predictions considering microbial cell sizes relative to available liquid pathways sizes were in good agreement with experimental results for unsaturated soils. The new modeling platform enables quantitative consideration of key biophysical factors (e.g., pore space heterogeneities and hydration conditions) governing microbial interactions in 3-D soil pore spaces.

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Section: Introductionmentioning

confidence: 99%

Microbial dispersal in unsaturated porous media: Characteristics of motile bacterial cell motions in unsaturated angular pore networks

Ebrahimi

2014

Water Resources Research

110

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“…On the other hand, Dens et al 1999 proposed a microbial competition model constructed with the Baranyi model and the LV model, and studied the characteristics of the competition model. However, since their studies were mathematical simulations, it is necessary to evaluate whether their model is applicable to real microbial competition with microbial data.…”

Section: Development Of Competition Modelsmentioning

confidence: 99%

Prediction of Competitive Microbial Growth

Fujikawa

2016

Biocontrol Sci.

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Prediction of competitive microbial growth is becoming important for microbial food safety. There would be two approaches to predict competitive microbial growth with mathematical models. The first approach is the development of a growth model for competitive microbes. Among several candidates for the competition model considered, the combination of the primary growth model of the new logistic NL model and the competition model of the Lotka-Vorttera LV model showed the best performance in predicting microbial competitive growth in the mixed culture of two species. This system further successfully predicted the growth of three competitive species in mixed culture. The second approach is the application of the secondary model especially for the parameter of the maximum cell population in the primary growth model. The combination of the NL model and a polynomial model for the maximum population successfully predicted Salmonella growth in raw ground beef. This system further successfully predicted Salmonella growth in beef at various initial concentrations and temperatures. The first approach requires microbial growth data in monoculture for analysis. The second approach to the prediction of competitive growth from the viewpoint of microbial food safety would be more suitable for practical application.

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“…Para determinar el efecto de los factores de conservación: temperatura, actividad de agua (a w ) y pH sobre el crecimiento microbiano, se usa como una herramienta útil la microbiología predictiva (Dens et al, 1999), que es un área de investigación de la microbiología en la que se combinan el conocimiento microbiano y matemático para desarrollar modelos que describan la evolución microbiana. Así, es posible predecir el desarrollo de un microorganismo de interés en base a una relación matemática entre las respuestas del crecimiento microbiano y las condiciones ambientales (Vereecken et al, 2000;Doona et al, 2004).…”

Section: Introductionunclassified

Modelado del Efecto de la Temperatura, Actividad de Agua y pH sobre el Crecimiento de Rhizopus oryzae

Carrillo¹,

Zavala²,

Alvarado³

2007

Inf. tecnol.

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* autor a quien debe ser dirigida la correspondencia ResumenEl objetivo de este trabajo fue modelar el crecimiento de Rhizopus oryzae, hongo deteriorativo de alimentos, en función de la temperatura, la actividad de agua (a w ) y el pH. Las curvas de crecimiento de Rhizopus oryzae se generaron a las condiciones de temperatura (20 y 30 °C), a w (0.895 y 0.99) y pH (3 y 5) dadas por un diseño factorial completo. Dichas curvas se obtuvieron al graficar el diámetro de las colonias contra el tiempo y se ajustaron con el modelo de Baranyi para obtener los parámetros de crecimiento (velocidad específica de crecimiento, tiempo de latencia y crecimiento máximo), a partir de los cuales se generó un modelo polinomial. El análisis estadístico indicó que todos los factores ejercen un efecto significativo (p < 0.001) sobre el crecimiento del hongo. Palabras clave: Rhizopus oryzae, modelo de Baranyi, hongos deteriorativos, crecimiento de hongos Modeling the Effects of Temperature, Water Activity and pH on the Growth of Rhizopus oryzaeInformación Tecnológica Vol. 18(4), 57-62 (2007) AbstractThe proposal of this work was modeling the growth of Rhizopus oryzae-fungus deteriorative food-in function of temperature, water activity (a w ) and pH. Growth curves of R. oryzae were generated at conditions of temperature (20 and 30°C), a w (0.895 and 0.99) and pH (3 and 5) giving in factorial full design. Such curves were obtained to graphic the colony diameter versus time and were adjusted with the Baranyi model in order to obtain the growth parameters -specific growth rate, latency of time and maximal growth-, to left was generated a polynomial model. The three factors were statistically significant (p<0.001) on the fungi growth.

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A Prototype Model Structure for Mixed Microbial Populations in Homogeneous Food Products

Cited by 45 publications

References 11 publications

Microbial dispersal in unsaturated porous media: Characteristics of motile bacterial cell motions in unsaturated angular pore networks

Microbial dispersal in unsaturated porous media: Characteristics of motile bacterial cell motions in unsaturated angular pore networks

Prediction of Competitive Microbial Growth

Modelado del Efecto de la Temperatura, Actividad de Agua y pH sobre el Crecimiento de Rhizopus oryzae

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