Application of the incremental identification method to the formate oxidation using formate dehydrogenase

Michalik, Claas; Schmidt, Timothy R.; Zavrel, Michael; Ansorge‐Schumacher, Marion B.; Spieß, Antje C.; Marquardt, Wolfgang

doi:10.1016/j.ces.2006.12.072

Cited by 21 publications

(20 citation statements)

References 17 publications

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“…Moreover, the plot of the Student-t-values over measurement points shows that in general as much data points as possible should be collected ( As already done in Section 2.3, these investigations were also performed using a uni-uni mechanism and a bi-bi mechanism. The parameter values for these studies were obtained from phosphoglucose isomerase (Jeong et al, 2003) and from formate dehydrogenase (Michalik et al, 2007). These studies confirm the observed trends (data not shown).…”

Section: Resultssupporting

confidence: 75%

“…The experimental data for these studies were obtained from industrially important enzymes − phosphoglucose isomerase (Jeong et al, 2003) and formate dehydrogenase (Michalik et al, 2007). Basically the same results were obtained.…”

Section: Error Caused By Steady-state Assumptionsupporting

confidence: 57%

“…The obtained initial parameter estimates are used for subsequent dynamic parameter estimation. Michalik et al (2007) applied this incremental method to progress curve analysis of enzymatic reactions for the first time.…”

Section: Introductionmentioning

confidence: 99%

“…In case of enantioselective conversions no experiments with initial enantiomerically pure product are required since it is formed by the enzyme (Duggleby, 2001). Progress curve analysis can be used for model discrimination (Bates and Frieden, 1973;Michalik et al, 2007) and for detection of competitive inhibition (Gutierrez and Danielson, 2006a). Furthermore, it reveals long-time phenomena like enzyme deactivation which are of special interest for the design of industrial processes (Straathof, 2001).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Model-based experimental analysis of enzyme kinetics in aqueous–organic biphasic systems

Zavrel

Schmidt

Michalik

et al. 2007

Journal of Biotechnology

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Section: Resultssupporting

confidence: 75%

Section: Error Caused By Steady-state Assumptionsupporting

confidence: 57%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Model-based experimental analysis of enzyme kinetics in aqueous–organic biphasic systems

Zavrel

Schmidt

Michalik

et al. 2007

Journal of Biotechnology

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“…In that study a so-called incremental identification method is presented that efficiently computes initial parameter guesses based on the model and the available measurement data. The method has recently been applied to a biocatalytic reaction system, namely the formate oxidation using formate dehydrogenase by Michalik et al (2007).…”

Section: Introductionmentioning

confidence: 99%

Mechanistic kinetic model for symmetric carboligations using benzaldehyde lyase

Zavrel¹,

Schmidt²,

Michalik³

et al. 2008

Biotech & Bioengineering

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For reactions using thiamine diphosphate (ThDP)-dependent enzymes many empirically-derived kinetic models exist. However, there is a lack of mechanistic kinetic models. This is especially true for the synthesis of symmetric 2-hydroxy ketones from two identical aldehydes, with one substrate acting as the donor and the other as the acceptor. In this contribution, a systematic approach for deriving such a kinetic model for thiamine diphosphate (ThDP)-dependent enzymes is presented. The derived mechanistic kinetic model takes this donor-acceptor principle into account by containing two K(m)-values even for identical substrate molecules. As example the stereoselective carbon-carbon coupling of two 3,5-dimethoxy-benzaldehyde molecules to (R)-3,3',5,5'-tetramethoxy-benzoin using benzaldehyde lyase (EC 4.1.2.38) from Pseudomonas fluorescens is studied. The model is derived using a model-based experimental analysis method which includes parameter estimation, model analysis, optimal experimental design, in silico experiments, sensitivity analysis and model revision. It is shown that this approach leads to a robust kinetic model with accurate parameter estimates and an excellent prediction capability.

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Incremental identification of fluid multi‐phase reaction systems

2009

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in Wiley InterScience (www.interscience.wiley.com).Despite their importance, rigorous process models are rarely available for reaction and especially multi-phase reaction systems. The high complexity of these systems, which is due to the superposed effects of mass transfer and intrinsic reaction, is the major barrier for the development of process models. A methodology that allows the systematic decomposition of mass transfer and chemical reaction and thus enables the efficient identification of multi-phase reaction systems is proposed in this work. The method is based on the so-called Incremental Identification Method, recently presented by Brendel et al., Chem Eng Sci. 2006;61:5404-5420. The method allows to easily test the identifiability of a system based on the available measurement data. If identifiability is given, the intrinsic reaction kinetics can be identified in a sound and numerically robust manner. These benefits are illustrated using a simulated 2-phase enzyme reaction system.

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Application of the incremental identification method to the formate oxidation using formate dehydrogenase

Cited by 21 publications

References 17 publications

Model-based experimental analysis of enzyme kinetics in aqueous–organic biphasic systems

Model-based experimental analysis of enzyme kinetics in aqueous–organic biphasic systems

Mechanistic kinetic model for symmetric carboligations using benzaldehyde lyase

Incremental identification of fluid multi‐phase reaction systems

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