Literature DB >> 19352648

Rapid sampling devices for metabolic engineering applications.

Friederike Schädel1, Ezequiel Franco-Lara.   

Abstract

A number of rapid sampling devices for metabolic engineering applications have been developed over the last years with the purpose of the estimation of in vivo metabolic concentrations and dynamics. This review outlines the designs and characteristics as well as the developments and changes in diverse approaches over the years. Primary performance parameters for these constructions are sampling time and rate and, for an accurate representation of the in vivo condition in cells, the reproducibility of results and easy handling throughout the sampling operation.

Mesh:

Year:  2009        PMID: 19352648     DOI: 10.1007/s00253-009-1976-x

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  5 in total

1.  Optimization of cold methanol quenching for quantitative metabolomics of Penicillium chrysogenum.

Authors:  Lodewijk P de Jonge; Rutger D Douma; Joseph J Heijnen; Walter M van Gulik
Journal:  Metabolomics       Date:  2011-10-07       Impact factor: 4.290

2.  Development of tools for quantitative intracellular metabolomics of Aspergillus niger chemostat cultures.

Authors:  Francisca Lameiras; Joseph J Heijnen; Walter M van Gulik
Journal:  Metabolomics       Date:  2015-02-25       Impact factor: 4.290

3.  Single cell analysis applied to antibody fragment production with Bacillus megaterium: development of advanced physiology and bioprocess state estimation tools.

Authors:  Florian David; Antje Berger; Robert Hänsch; Manfred Rohde; Ezequiel Franco-Lara
Journal:  Microb Cell Fact       Date:  2011-04-15       Impact factor: 5.328

4.  Error propagation analysis for quantitative intracellular metabolomics.

Authors:  Jana Tillack; Nicole Paczia; Katharina Nöh; Wolfgang Wiechert; Stephan Noack
Journal:  Metabolites       Date:  2012-11-21

5.  OpenMebius: an open source software for isotopically nonstationary 13C-based metabolic flux analysis.

Authors:  Shuichi Kajihata; Chikara Furusawa; Fumio Matsuda; Hiroshi Shimizu
Journal:  Biomed Res Int       Date:  2014-06-11       Impact factor: 3.411

  5 in total

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