Sentence examples for microbial growth model from inspiring English sources

In this research, the sensitivity of microbial growth model parameter distributions with respect to data quality and quantity is investigated using Monte Carlo analysis.

The preliminary results presented in this paper show that designing experiments in parallel, rather than sequentially, can substantially decrease the time and effort required by the model identification task for a microbial growth model.

Since the value of the specific microbial growth rate equals the value of the known dilution rate during continuous fermentation, in this study, a methodology for obtaining an empirical microbial growth model via chemostat operation is proposed.

Equation (2) is called a Fox surplus production model that has been used to build up certain prediction models such as microbial growth model, demographic model and fisheries model.

A mechanistic model coupling O2 and CO2 mass transfer (namely diffusion and solubilisation in the food itself and permeation through the packaging material) to microbial growth models was developed aiming at predicting the shelf life of modified atmosphere packaging (MAP) systems.

This type of algorithm does not appear to have been published in the microbial growth modelling literature, though it has been used to determine the parameters of the stretched exponential (Kohlrausch) function in rheological and biological applications [1].

Thus, we aimed at building a microbial population growth model which could deal with different substrates, resources and populations.

A kinetic study was carried out for process control and design by comparing four microbial growth kinetic models, i.e. first order, Grau, Monod and Chen and Hashimoto models.

A robust statistical approach for discrimination of competing microbial growth kinetics models was applied.

An interval observer is designed on the basis of the cooperativity properties of the model for a standard stirred tank bioreactor model with a single microbial growth and a kinetic model depending on the substrate concentration.

Optimal estimates for the Square Root model parameters-modeling microbial growth in the sub-optimal growth temperature range-are obtained by practical implementation of optimal (3-step) temperature input profiles.