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A stochastic theory of multiple species transport and transformation is developed for the problem of oxygen-limited biodegradation of contaminants in aquifers, considering the presence of transient microbial growth dynamics.
Transient microbial growth dynamics are found to occur over most contaminant and dissolved oxygen mean concentration ranges, and therefore a transient mean balance equation for biomass should be included in modeling efforts directed at quantifying oxygen-limited biodegradation at field scales.
Lag phase is typical for microbial growth dynamics.
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Tagatose is a novel low-calorie sweetener which addition changes food product properties, e.g., aw, and formula, that may influence food-microbial growth dynamics in both liquid and solid products.
To test the capability of this artificial soil to support microbial growth and dynamics, six bacterial strains were independently inoculated and monitored for 19 days.
It is known that, in carefully performed measurements of microbial growth-decay dynamics, the measurement error does not depend on the size of the population as it evolves.
In the past, different methods have been proposed and used to model microbial growth and decay dynamics.
These processes influence microbial growth and population dynamics, in combination with other ecological processes, such as predation [2].
Understanding the microbial growth stoichiometry and growth kinetics is pivotal in designing enzyme bioreactors.
Batch culture is the most common method for microbial cultivation, of which its growth dynamics is classified into distinct phases.
In this manuscript, we present a computational model to approximate the solutions of a partial differential equation which describes the growth dynamics of microbial films.
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