scholarly journals MATHEMATICAL MODELING OF MICROORGANISM GROWTH (ANALYTICAL APPROACH)

2021 ◽  
Vol 12 (2) ◽  
Author(s):  
Mikhail Vladimirovich Glagolev

This work is a report "Mathematical modeling of the growth of microorganisms", written at the suggestion of the teacher of mathematics L.S. Akinfieva in 1982, when the author was a student of the 10th grade of a specialized (with in-depth study of biology) school No. 11 in Moscow. All students of this class were asked to write reports (as a "gift for the 60th anniversary of the USSR") within the framework of the general theme "Mathematics in my future profession." The report contains the basic equations of the kinetics of growth and dying of microorganisms, as well as their consumption of a nutrient substrate (Malthus, Monod's equations, Herbert's model). In addition to the equations of microbiological kinetics themselves, some methods of obtaining their approximate solutions in the form of explicit functions (without using numerical methods) are demonstrated.

2007 ◽  
Vol 79 (4) ◽  
pp. 1460-1466 ◽  
Author(s):  
A. Vega ◽  
P. Fito ◽  
A. Andrés ◽  
R. Lemus

Author(s):  
Félix M. Pereira ◽  
Adilson R. Gonçalves ◽  
André Ferraz ◽  
Flávio T. Silva ◽  
Samuel C. Oliveira

2018 ◽  
Vol 140 (5) ◽  
Author(s):  
I. A. Kuznetsov ◽  
A. V. Kuznetsov

The goal of this paper is to use mathematical modeling to investigate the fate of dense core vesicles (DCVs) captured in en passant boutons located in nerve terminals. One possibility is that all DCVs captured in boutons are destroyed, another possibility is that captured DCVs can escape and reenter the pool of transiting DCVs that move through the boutons, and a third possibility is that some DCVs are destroyed in boutons, while some reenter the transiting pool. We developed a model by applying the conservation of DCVs in various compartments composing the terminal, to predict different scenarios that emerge from the above assumptions about the fate of DCVs captured in boutons. We simulated DCV transport in type Ib and type III terminals. The simulations demonstrate that, if no DCV destruction in boutons is assumed and all captured DCVs reenter the transiting pool, the DCV fluxes evolve to a uniform circulation in a type Ib terminal at steady-state and the DCV flux remains constant from bouton to bouton. Because at steady-state the amount of captured DCVs is equal to the amount of DCVs that reenter the transiting pool, no decay of DCV fluxes occurs. In a type III terminal at steady-state, the anterograde DCV fluxes decay from bouton to bouton, while retrograde fluxes increase. This is explained by a larger capture efficiency of anterogradely moving DCVs than of retrogradely moving DCVs in type III boutons, while the captured DCVs that reenter the transiting pool are assumed to be equally split between anterogradely and retrogradely moving components. At steady-state, the physiologically reasonable assumption of no DCV destruction in boutons results in the same number of DCVs entering and leaving a nerve terminal. Because published experimental results indicate no DCV circulation in type III terminals, modeling results suggest that DCV transport in these type III terminals may not be at steady-state. To better understand the kinetics of DCV capture and release, future experiments in type III terminals at different times after DCV release (molting) may be proposed.


2010 ◽  
Vol 638-642 ◽  
pp. 2537-2542
Author(s):  
Ricardo Nolasco Carvalho ◽  
Marcelo A.C. Ferreira ◽  
Dagoberto Brandão Santos ◽  
Ronaldo Barbosa

Torsion and compression testing have been used to simulate microstructure evolution of industry processes. Additionally, mathematical modeling of the industry hot rolling processes has been carried out by several researchers. These models employed equations published in the literature describing kinetics of softening, grain size evolution and grain growth. Validation of the models was carried, in some cases, by comparing the microstructure or the average stress per pass, the latter as calculated from industry rolling mill loads. In the present work, torsion simulation and industry trial results were used to validate the mathematical model presented. Equations used in the model were mostly taken from literature and appropriate modifications were implemented concerning basically two points: a) the transfer time between CMM and SRM, a step in the production line typical for seamless rolling and rather unusual for other industry rolling processes and b) the chemical composition used in tube rolling industry where C equivalent values are usually higher than those used in the rolling of flats.


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