Determination of in vivo oxygen uptake and carbon dioxide evolution rates from off-gas measurements under highly dynamic conditions

Journal Article (2003)
Author(s)

L. Wu (TU Delft - OLD BT/Cell Systems Engineering)

H. C. Lange (TU Delft - OLD BT/Cell Systems Engineering)

W. M. Van Gulik (TU Delft - OLD BT/Cell Systems Engineering)

J. J. Heijnen (TU Delft - OLD BT/Cell Systems Engineering)

Research Group
OLD BT/Cell Systems Engineering
DOI related publication
https://doi.org/10.1002/bit.10480 Final published version
More Info
expand_more
Publication Year
2003
Language
English
Research Group
OLD BT/Cell Systems Engineering
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Journal title
Biotechnology and Bioengineering
Issue number
4
Volume number
81
Pages (from-to)
448-458
Downloads counter
77
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

In vivo kinetics of Saccharomyces cerevisiae are studied, in a time window of 150 s, by analyzing the response of O2 and CO2 in the fermentor off-gas after perturbation of chemostat cultures by metabolite pulses. Here, a new mathematical method is presented for the estimation of the in vivo oxygen uptake rate (OUR) and carbon dioxide evolution rate (CER) directly from the off-gas data in such perturbation experiments. The mathematical construction allows effective elimination of delay and distortion in the off-gas measurement signal under highly dynamic conditions. A black box model for the fermentor off-gas system is first obtained by system identification, followed by the construction of an optimal linear filter, based on the identified off-gas model. The method is applied to glucose and ethanol pulses performed on chemostat cultures of S. cerevisiae. The estimated OUR is shown to be consistent with the independent dissolved oxygen measurement. The estimated in vivo OUR and CER provide valuable insights into the complex dynamic behavior of yeast and are essential for the establishment and validation of in vivo kinetic models of primary metabolism.

Files

Biotech_Bioengineering_-_2002_... (pdf)
(pdf | 0.349 Mb)
- Embargo expired in 17-06-2003
License info not available