Computational Fluid Dynamic Approach for Biological System Modeling

TL;DR

This paper introduces a CFD-based modeling approach for biological systems that emphasizes transport processes over kinetic data, demonstrated through wastewater treatment system analysis.

Contribution

It presents a novel CFD approach integrating transport and reaction kinetics for biological system modeling, addressing kinetic data limitations.

Findings

CFD model improves accuracy over traditional kinetic models

Transport processes are crucial in biological reaction modeling

Application to wastewater treatment shows practical feasibility

Abstract

Various biological system models have been proposed in systems biology, which are based on the complex biological reactions kinetic of various components. These models are not practical because we lack of kinetic information. In this paper, it is found that the enzymatic reaction and multi-order reaction rate is often controlled by the transport of the reactants in biological systems. A Computational Fluid Dynamic (CFD) approach, which is based on transport of the components and kinetics of biological reactions, is introduced for biological system modeling. We apply this approach to a biological wastewater treatment system for the study of metabolism of organic carbon substrates and the population of microbial. The results show that CFD model coupled with reaction kinetics is more accurate and more feasible than kinetic models for biological system modeling.