Development and implementation of a nonparametric/metabolic model in the process optimisation of PHA production by mixed microbial cultures

João Miguel Lopes Dias; Paulo C. Lemos; Luisa Serafim; Adrian Oehmen; Maria A. M.  Reis; Rui Oliveira

doi:10.1016/S1570-7946(07)80190-8

Development and implementation of a nonparametric/metabolic model in the process optimisation of PHA production by mixed microbial cultures

João Miguel Lopes Dias, Paulo C. Lemos, Luisa Serafim, Adrian Oehmen, Maria A. M. Reis, Rui Oliveira

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

4 Citations (Scopus)

Abstract

In this work we study the optimization of a polyhydroxyalkanoates (PHA) production process by mixed cultures based on a detailed hybrid metabolic model. The metabolic network under consideration was first decomposed into its fundamental pathways using the elementary flux modes (EFM) technique. Then, a dynamical hybrid semi-parametric model was formulated, which allowed to identify the EFM kinetics from experimental data of 7 batch runs. The EFM fluxes were interpreted in terms of metabolic consistency. The final model allowed to characterize the metabolism dynamics, namely of how the relative weight of pathways evolves in time in a typical batch or fed-batch run. The present technique is a step forward for the integration of systems biology and bioprocess control.

Original language	English
Title of host publication	17th European Symposium on Computer Aided Process Engineering
Editors	Valentin Plesu, Paul Serban Agachi
Publisher	Elsevier B.V.
Pages	995-1000
Number of pages	6
ISBN (Print)	978-044453157-5
DOIs	https://doi.org/10.1016/S1570-7946(07)80190-8
Publication status	Published - 1 Dec 2007
Event	17th European Symposium of Computer Aided Process Engineering (ESCAPE 17) - Bucharest, Romania Duration: 27 May 2007 → 30 May 2007 Conference number: 17th

Publication series

Name	Computer Aided Chemical Engineering
Publisher	Elsevier B.V.
Volume	24
ISSN (Print)	1570-7946

Conference

Conference	17th European Symposium of Computer Aided Process Engineering (ESCAPE 17)
Abbreviated title	ESCAPE 17
Country/Territory	Romania
City	Bucharest
Period	27/05/07 → 30/05/07

Keywords

Artificial Neural Networks
Elementary Flux Modes
Hybrid Modelling
Mixed Cultures.
Polyhydroxyalkanoates

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10.1016/S1570-7946(07)80190-8

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Dias, J. M. L., Lemos, P. C., Serafim, L., Oehmen, A., Reis, M. A. M., & Oliveira, R. (2007). Development and implementation of a nonparametric/metabolic model in the process optimisation of PHA production by mixed microbial cultures. In V. Plesu, & P. S. Agachi (Eds.), 17th European Symposium on Computer Aided Process Engineering (pp. 995-1000). (Computer Aided Chemical Engineering; Vol. 24). Elsevier B.V.. https://doi.org/10.1016/S1570-7946(07)80190-8

Dias, João Miguel Lopes ; Lemos, Paulo C. ; Serafim, Luisa et al. / Development and implementation of a nonparametric/metabolic model in the process optimisation of PHA production by mixed microbial cultures. 17th European Symposium on Computer Aided Process Engineering. editor / Valentin Plesu ; Paul Serban Agachi. Elsevier B.V., 2007. pp. 995-1000 (Computer Aided Chemical Engineering).

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title = "Development and implementation of a nonparametric/metabolic model in the process optimisation of PHA production by mixed microbial cultures",

abstract = "In this work we study the optimization of a polyhydroxyalkanoates (PHA) production process by mixed cultures based on a detailed hybrid metabolic model. The metabolic network under consideration was first decomposed into its fundamental pathways using the elementary flux modes (EFM) technique. Then, a dynamical hybrid semi-parametric model was formulated, which allowed to identify the EFM kinetics from experimental data of 7 batch runs. The EFM fluxes were interpreted in terms of metabolic consistency. The final model allowed to characterize the metabolism dynamics, namely of how the relative weight of pathways evolves in time in a typical batch or fed-batch run. The present technique is a step forward for the integration of systems biology and bioprocess control.",

keywords = "Artificial Neural Networks, Elementary Flux Modes, Hybrid Modelling, Mixed Cultures., Polyhydroxyalkanoates",

author = "Dias, {Jo{\~a}o Miguel Lopes} and Lemos, {Paulo C.} and Luisa Serafim and Adrian Oehmen and Reis, {Maria A. M.} and Rui Oliveira",

note = "This work was supported by Funda{\c c}{\~a}o para a Ci{\^e}ncia e a Tecnologia (FCT) through the project POCI/BIO/55789/2004. J. Dias, L. Serafim and A. Oehmen acknowledge FCT for grants SFRH/BD/13714/2003, SFRH/BPD/14663/2003 and SFRH/BPD/20862/2004.; 17th European Symposium of Computer Aided Process Engineering (ESCAPE 17), ESCAPE 17 ; Conference date: 27-05-2007 Through 30-05-2007",

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Dias, JML , Lemos, PC, Serafim, L, Oehmen, A , Reis, MAM & Oliveira, R 2007, Development and implementation of a nonparametric/metabolic model in the process optimisation of PHA production by mixed microbial cultures. in V Plesu & PS Agachi (eds), 17th European Symposium on Computer Aided Process Engineering. Computer Aided Chemical Engineering, vol. 24, Elsevier B.V., pp. 995-1000, 17th European Symposium of Computer Aided Process Engineering (ESCAPE 17), Bucharest, Romania, 27/05/07. https://doi.org/10.1016/S1570-7946(07)80190-8

Development and implementation of a nonparametric/metabolic model in the process optimisation of PHA production by mixed microbial cultures. / Dias, João Miguel Lopes ; Lemos, Paulo C.; Serafim, Luisa et al.
17th European Symposium on Computer Aided Process Engineering. ed. / Valentin Plesu; Paul Serban Agachi. Elsevier B.V., 2007. p. 995-1000 (Computer Aided Chemical Engineering; Vol. 24).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Development and implementation of a nonparametric/metabolic model in the process optimisation of PHA production by mixed microbial cultures

AU - Dias, João Miguel Lopes

AU - Lemos, Paulo C.

AU - Serafim, Luisa

AU - Oehmen, Adrian

AU - Reis, Maria A. M.

AU - Oliveira, Rui

N1 - Conference code: 17th

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AB - In this work we study the optimization of a polyhydroxyalkanoates (PHA) production process by mixed cultures based on a detailed hybrid metabolic model. The metabolic network under consideration was first decomposed into its fundamental pathways using the elementary flux modes (EFM) technique. Then, a dynamical hybrid semi-parametric model was formulated, which allowed to identify the EFM kinetics from experimental data of 7 batch runs. The EFM fluxes were interpreted in terms of metabolic consistency. The final model allowed to characterize the metabolism dynamics, namely of how the relative weight of pathways evolves in time in a typical batch or fed-batch run. The present technique is a step forward for the integration of systems biology and bioprocess control.

KW - Artificial Neural Networks

KW - Elementary Flux Modes

KW - Hybrid Modelling

KW - Mixed Cultures.

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SN - 978-044453157-5

T3 - Computer Aided Chemical Engineering

SP - 995

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BT - 17th European Symposium on Computer Aided Process Engineering

A2 - Plesu, Valentin

A2 - Agachi, Paul Serban

PB - Elsevier B.V.

T2 - 17th European Symposium of Computer Aided Process Engineering (ESCAPE 17)

Y2 - 27 May 2007 through 30 May 2007

ER -

Dias JML , Lemos PC, Serafim L, Oehmen A , Reis MAM , Oliveira R. Development and implementation of a nonparametric/metabolic model in the process optimisation of PHA production by mixed microbial cultures. In Plesu V, Agachi PS, editors, 17th European Symposium on Computer Aided Process Engineering. Elsevier B.V. 2007. p. 995-1000. (Computer Aided Chemical Engineering). doi: 10.1016/S1570-7946(07)80190-8

Development and implementation of a nonparametric/metabolic model in the process optimisation of PHA production by mixed microbial cultures

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