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Reaction engineering methods to study intracellular metabolite concentrations

Authors: D, Weuster-Botz; A A, de Graaf;

Reaction engineering methods to study intracellular metabolite concentrations

Abstract

The analysis of intracellular metabolite concentrations is of basic importance for metabolic engineering of microorganisms. In vivo NMR-spectroscopy as a non-invasive technique to measure intracellular metabolite concentrations and rapid sampling devices as invasive techniques are reviewed. The methods are discussed from a reaction engineering point of view. The objective is to obtain intracellular concentration data under well defined physiological conditions in balanced steady state and defined transitional states as well. Application examples are given for a membrane-cyclone-reactor configuration designed to achieve high signal sensitivity with in vivo 31P-NMR and 13C-NMR spectroscopy as well as for a sampling tube device designed for high sampling rates (2s-1). This sampling device enables the measurement of dynamic metabolite profiles at a time scale of a few seconds.

Keywords

Magnetic Resonance Spectroscopy, Cells, Cell Communication, Biotechnology

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Average
Top 10%
Top 10%
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