Modelling of E. Coli fermentations: Comparison of multicompartment and variable structure models

B. Tartakovsky; M. Sheintuch; J. M. Hilmer; T. Scheper

doi:10.1007/PL00008947

Modelling of E. Coli fermentations: Comparison of multicompartment and variable structure models

B. Tartakovsky, M. Sheintuch, J. M. Hilmer, T. Scheper

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

Abstract

Two novel approaches for modelling processes that can be described by a sequence of phases (metabolic states) are suggested and applied to Escherichia Coli fermentations. The first approach uses a multi-compartment model framework, coupled with knowledge-based logic. In X the second approach the multi-compartment model is reduced into the Variable Structure Model consisting of a battery of alternative submodels, each of which qualitatively represents one of the process steps. Furthermore, simulated intracellular process variables are compared with the output of a multi-wavelength fluorosensor and excitation-emission pairs that predict best these variables are identified.

Original language	English
Pages (from-to)	323-329
Number of pages	7
Journal	Bioprocess Engineering
Volume	16
Issue number	6
DOIs	https://doi.org/10.1007/PL00008947
State	Published - 1997
Externally published	Yes

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title = "Modelling of E. Coli fermentations: Comparison of multicompartment and variable structure models",

abstract = "Two novel approaches for modelling processes that can be described by a sequence of phases (metabolic states) are suggested and applied to Escherichia Coli fermentations. The first approach uses a multi-compartment model framework, coupled with knowledge-based logic. In X the second approach the multi-compartment model is reduced into the Variable Structure Model consisting of a battery of alternative submodels, each of which qualitatively represents one of the process steps. Furthermore, simulated intracellular process variables are compared with the output of a multi-wavelength fluorosensor and excitation-emission pairs that predict best these variables are identified.",

author = "B. Tartakovsky and M. Sheintuch and Hilmer, {J. M.} and T. Scheper",

note = "Funding Information: BT was supported by the Minerva foundation. The experimental work was supported by the EEC (BRIT-EUram BRE2-CT-1005, BE 7991). Authors are thankful to B. Dainson (Department of Chemical Engineering, Technion) for useful discussions.",

year = "1997",

doi = "10.1007/PL00008947",

language = "英语",

volume = "16",

pages = "323--329",

journal = "Bioprocess Engineering",

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publisher = "Springer Verlag",

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T1 - Modelling of E. Coli fermentations

T2 - Comparison of multicompartment and variable structure models

AU - Tartakovsky, B.

AU - Sheintuch, M.

AU - Hilmer, J. M.

AU - Scheper, T.

N1 - Funding Information: BT was supported by the Minerva foundation. The experimental work was supported by the EEC (BRIT-EUram BRE2-CT-1005, BE 7991). Authors are thankful to B. Dainson (Department of Chemical Engineering, Technion) for useful discussions.

PY - 1997

Y1 - 1997

N2 - Two novel approaches for modelling processes that can be described by a sequence of phases (metabolic states) are suggested and applied to Escherichia Coli fermentations. The first approach uses a multi-compartment model framework, coupled with knowledge-based logic. In X the second approach the multi-compartment model is reduced into the Variable Structure Model consisting of a battery of alternative submodels, each of which qualitatively represents one of the process steps. Furthermore, simulated intracellular process variables are compared with the output of a multi-wavelength fluorosensor and excitation-emission pairs that predict best these variables are identified.

AB - Two novel approaches for modelling processes that can be described by a sequence of phases (metabolic states) are suggested and applied to Escherichia Coli fermentations. The first approach uses a multi-compartment model framework, coupled with knowledge-based logic. In X the second approach the multi-compartment model is reduced into the Variable Structure Model consisting of a battery of alternative submodels, each of which qualitatively represents one of the process steps. Furthermore, simulated intracellular process variables are compared with the output of a multi-wavelength fluorosensor and excitation-emission pairs that predict best these variables are identified.

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Modelling of E. Coli fermentations: Comparison of multicompartment and variable structure models

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