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Generally applicable fed‐batch culture concept based on the detection of metabolic state by on‐line balancing
Author(s) -
Jobé Anna Marya,
Herwig Christoph,
Surzyn Martin,
Walker Bernhard,
Marison Ian,
von Stockar Urs
Publication year - 2003
Publication title -
biotechnology and bioengineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 189
eISSN - 1097-0290
pISSN - 0006-3592
DOI - 10.1002/bit.10610
Subject(s) - metabolite , oxidative phosphorylation , biological system , metabolic engineering , acetic acid , biomass (ecology) , substrate (aquarium) , biochemical engineering , flux (metallurgy) , controller (irrigation) , biochemistry , computer science , chemistry , biology , engineering , organic chemistry , ecology , agronomy , enzyme
In many microorganisms, flux limitations in oxidative metabolism lead to the formation of overflow metabolites even under fully aerobic conditions. This can be avoided if the specific growth rate is controlled at a low enough value. This is usually accomplished by controlling the substrate feeding profile in a fed‐batch process. The present work proposes a control concept which is based on the on‐line detection of metabolic state by on‐line calculation of mass and elemental balances. The advantages of this method are: 1) the check of measurement consistency based on all of the available measurements, 2) the minimum requirement of a priori knowledge of metabolism, and 3) the exclusive use of simple and established on‐line techniques which do not require direct measurement of the metabolite in question. The control concept has been linked to a simple adaptive controller and applied to fed‐batch cultures of S. cerevisiae and E. coli , organisms which express different overflow metabolites, ethanol and acetic acid, respectively. Oxidative and oxidoreductive states of S. cerevisiae and E. coli cultures were detected with high precision. As demonstrated by the formation of acetic acid in E. coli cultures, metabolic states could be correctly distinguished for systems for which traditional methods, such as respiratory quotient (RQ), are insensitive. Hence, it could be shown that the control concept allowed avoidance of overflow metabolite formation and operation at maximum oxidative biomass productivity and oxidative conversion of substrate into biomass. Based on mass and elemental balances, the proposed method additionally provides a richness of additional information, such as yield coefficients and estimation of concentrations and specific conversion rates. These data certainly help the operator to additionally evaluate the state of the process on‐line. © 2003 Wiley Periodicals, Inc. Biotechnol Bioeng 82: 627–639, 2003.