Characterization of nitrogen substrate limitation on Escherichia coli’s growth by parameter identification tools

M. Rios-Lozano, V. Guerrero-Torres, A. Badillo-Corona, I. Chairez, C. Garibay-Orijel

Research output: Contribution to journalArticle

Abstract

© 2016, Springer-Verlag Berlin Heidelberg. Carbon-to-nitrogen ratio (CNR) has shown to be a relevant factor in microorganisms growth and metabolites production. It is usual that this factor compromises the productivity yield of different microorganisms. However, CNR has been rarely modeled and therefore the nature of its specific influence on metabolites production has not been understood clearly. This paper describes a parametric characterization of the CNR effect on the Escherichia coli metabolism. A set of parameters was proposed to introduce a mathematical model that considers the biomass, substrate and several byproducts dynamical behavior under batch regimen and CNR influence. Identification algorithm used to calculate the parameters considers a novel least mean square strategy that formalizes the CNR influence in E. coli metabolism. This scheme produced a step-by-step method that was suitable for obtaining the set of parameters that describes the model. This method was evaluated under two scenarios: (a) using the data from a set of numerical simulations where the model was tested under the presence of artificial noises and (b) the information obtained from a set of experiments under different CNR. In both cases, a leave-one-experiment-out cross-validation study was considered to evaluate the model prediction capabilities. Feasibility of the parametric identification method was proven in both considered scenarios.
Original languageAmerican English
Pages (from-to)1151-1161
Number of pages1034
JournalBioprocess and Biosystems Engineering
DOIs
StatePublished - 1 Jul 2016

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Escherichia
Identification (control systems)
Nitrogen
Carbon
Substrates
Growth
Metabolites
Metabolism
Microorganisms
Escherichia coli
Validation Studies
Berlin
Least-Squares Analysis
Biomass
Byproducts
Noise
Theoretical Models
Productivity
Experiments
Mathematical models

Cite this

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title = "Characterization of nitrogen substrate limitation on Escherichia coli’s growth by parameter identification tools",
abstract = "{\circledC} 2016, Springer-Verlag Berlin Heidelberg. Carbon-to-nitrogen ratio (CNR) has shown to be a relevant factor in microorganisms growth and metabolites production. It is usual that this factor compromises the productivity yield of different microorganisms. However, CNR has been rarely modeled and therefore the nature of its specific influence on metabolites production has not been understood clearly. This paper describes a parametric characterization of the CNR effect on the Escherichia coli metabolism. A set of parameters was proposed to introduce a mathematical model that considers the biomass, substrate and several byproducts dynamical behavior under batch regimen and CNR influence. Identification algorithm used to calculate the parameters considers a novel least mean square strategy that formalizes the CNR influence in E. coli metabolism. This scheme produced a step-by-step method that was suitable for obtaining the set of parameters that describes the model. This method was evaluated under two scenarios: (a) using the data from a set of numerical simulations where the model was tested under the presence of artificial noises and (b) the information obtained from a set of experiments under different CNR. In both cases, a leave-one-experiment-out cross-validation study was considered to evaluate the model prediction capabilities. Feasibility of the parametric identification method was proven in both considered scenarios.",
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Characterization of nitrogen substrate limitation on Escherichia coli’s growth by parameter identification tools. / Rios-Lozano, M.; Guerrero-Torres, V.; Badillo-Corona, A.; Chairez, I.; Garibay-Orijel, C.

In: Bioprocess and Biosystems Engineering, 01.07.2016, p. 1151-1161.

Research output: Contribution to journalArticle

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