Model of Phytoplanktonic Cell Growth

Model description: 

The models used to describe the growth of phytoplanktonic cells (biomass $x_2$) on a substrate (of concentration $x_1$) assume usually that the growth is a function of a variable ($x_3$) called internal quota, representing the nutrient stored in the cells:

$$\begin{align*} \dot{x}_1 &= u(t)(1-x_1)-\rho(x_1)x_2\\ \dot{x}_2 &= (\mu(x_3)-u(t))x_2\\ \dot{x}_3 &= \rho(x_1)-\mu(x_3)x_3. \end{align*}$$

The input $u(t)$ is the dilution rate of the continuously stirred bioreactor (we suppose $u(t) \geq u \geq 0$). The functions $\rho$ and $\mu$ represent the absorption rate and the growth rate:

$\rho(x_1)=a_1\dfrac{x_1}{a_2+x_1};$ $\mu(x_3)=a_3\left(1-\dfrac{a_4}{x_3}\right)$.

Type: 

Form: 

Model order: 

3

Time domain: 

Linearity: 

Publication details: 

TitleNon-linear qualitative signal processing for biological systems: application to the algal growth in bioreactors
Publication TypeJournal Article
Year of Publication1999
AuthorsBernard, Olivier, and Gouzé Jean-Luc
JournalMathematical Biosciences
Volume157
Start Page357
Issue1-2
Pagination357-372
Date Published03/1999
ISSN0025-5564
KeywordsAlgal growth, Bioreactor, Moving average, Non-linear systems, Qualitative behavior, Validation
AbstractWe present in this paper a qualitative method to validate and monitor the structure of a non-linear model with respect to experimental data, under some hypotheses. This method is broadly independent of the analytical formulation of the model, and depends only on the qualitative structure (the signs of the Jacobian matrix). The temporal sequences of the extrema of a filtered experimental signal are compared with the transitions allowed by a graph. In particular, we show that the usual moving average of the outputs follows this transition graph. We apply this method to compare models of algal growth in a bioreactor with experimental data.
DOI10.1016/S0025-5564(98)10091-3