location: Current position: Home >> Scientific Research >> Paper Publications

Pathway identification using parallel optimization for a complex metabolic system in microbial continuous culture

Hits:

Indexed by:期刊论文

Date of Publication:2011-10-01

Journal:NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS

Included Journals:Scopus、SCIE、EI

Volume:12

Issue:5

Page Number:2730-2741

ISSN No.:1468-1218

Key Words:Pathway identification; Parallel PSO; Glycerol-metabolism system; Continuous culture; Nonlinear dynamical system

Abstract:The bio-dissimilation of glycerol to 1,3-propanediol (1,3-PD) by Klebsiella pneumoniae (K. pneumoniae) is a complex bioprocess due to the multiple inhibitions of substrate and products onto the cell growth. In consideration of the fact that both the inhibition mechanisms of 3-hydroxypropionaldehyde (3-HPA) onto the cell growth and the transport systems of glycerol and 1,3-PD across the cell membrane are still unclear, we consider 72 possible metabolic pathways, and establish a novel mathematical model which is represented by an eight-dimensional nonlinear dynamical system. The existence, uniqueness, continuous dependence of solutions to the system and the compactness of the solution set are explored. On the basis of biological robustness, we give a quantitative definition of robustness index of the intracellular substances. Taking the robustness index of the intracellular substances together with the relative error between the experimental data and the computational values of the extracellular substances as a performance index, a parameter identification model is proposed for the nonlinear dynamical system, in which 43848 continuous variables and 1152 discrete variables are involved. A parallel particle swarm optimization - pathways identification algorithm (PPSO-PIA) is constructed to find the optimal pathway and parameters under various experiments conditions. Numerical results show that the optimal pathway and the corresponding dynamical system can describe the continuous fermentation reasonably. (C) 2011 Elsevier Ltd. All rights reserved.

Pre One:An improved nonlinear complex system of microbial bioconversion process in fed-batch culture

Next One:Modelling and optimization for a switched system in microbial fed-batch culture