Hybrid metabolic flux analysis/artificial neural network modeling of bioprocesses

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2 Citations (Scopus)

Abstract

The main aim of this study is to develop a bioprocess dynamic optimisation method that integrates bioreactor transport phenomena, with metabolic flux analysis (MFA). The central metabolic pathways of many biological systems with industrial interest are currently known. Bioreactor dynamic optimisation schemes could profit from the incorporation of this knowledge. A hybrid modelling methodology is presented that integrates the aforementioned concepts. The technique was successfully validated with data of a recombinant Baby Hamster Kidney (BHK-21) culture. The method allowed to identify the time evolution of intracellular metabolic fluxes and to relate this knowledge with bioreactor decision variables.

Original languageEnglish
Title of host publicationProceedings - HIS 2005
Subtitle of host publicationFifth International Conference on Hybrid Intelligent Systems
Pages411-416
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2005
EventHIS 2005: Fifth International Conference on Hybrid Intelligent Systems - Rio de Janiero, Brazil
Duration: 6 Nov 20059 Nov 2005

Publication series

NameProceedings - HIS 2005: Fifth International Conference on Hybrid Intelligent Systems
Volume2005

Conference

ConferenceHIS 2005: Fifth International Conference on Hybrid Intelligent Systems
CountryBrazil
CityRio de Janiero
Period6/11/059/11/05

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    Teixeira, A., Alves, C., Alves, P. M., Carrondo, M. J. T., & Oliveira, R. (2005). Hybrid metabolic flux analysis/artificial neural network modeling of bioprocesses. In Proceedings - HIS 2005: Fifth International Conference on Hybrid Intelligent Systems (pp. 411-416). [1587782] (Proceedings - HIS 2005: Fifth International Conference on Hybrid Intelligent Systems; Vol. 2005). https://doi.org/10.1109/ICHIS.2005.59