Wahl SA, Seifar RM, ten Pierick A, Ras C, van Dam JC, Heijnen JJ, van Gulik WM (2014)
Publication Type: Book chapter / Article in edited volumes
Publication year: 2014
Publisher: Humana Press Inc.
Edited Volumes: Metabolic Flux Analysis
Series: Methods in Molecular Biology
Book Volume: 1191
Pages Range: 91-105
DOI: 10.1007/978-1-4939-1170-7_6
Quantitative intracellular metabolite measurements are essential for systems biology and modeling of cellular metabolism. The MS-based quantification is error prone because (1) several sampling processing steps have to be performed, (2) the sample contains a complex mixture of partly compounds with the same mass and similar retention time, and (3) especially salts influence the ionization efficiency. Therefore internal standards are required, best for each measured compound. The use of labeled biomass, 13C extract, is a valuable tool, reducing the standard deviations of intracellular concentration measurements significantly (especially regarding technical reproducibility). Using different platforms, i.e., LC-MS and GC-MS, a large number of different metabolites can be quantified (currently about 110).
APA:
Wahl, S.A., Seifar, R.M., ten Pierick, A., Ras, C., van Dam, J.C., Heijnen, J.J., & van Gulik, W.M. (2014). Quantitative metabolomics using ID-MS. In Jens O. Krömer, Lars K. Nielsen, Lars M. Blank (Eds.), Metabolic Flux Analysis. (pp. 91-105). Humana Press Inc..
MLA:
Wahl, Sebastian Aljoscha, et al. "Quantitative metabolomics using ID-MS." Metabolic Flux Analysis. Ed. Jens O. Krömer, Lars K. Nielsen, Lars M. Blank, Humana Press Inc., 2014. 91-105.
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