2006
DOI: 10.1038/nprot.2006.59
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Gas chromatography mass spectrometry–based metabolite profiling in plants

Abstract: The concept of metabolite profiling has been around for decades, but technical innovations are now enabling it to be carried out on a large scale with respect to the number of both metabolites measured and experiments carried out. Here we provide a detailed protocol for gas chromatography mass spectrometry (GC-MS)-based metabolite profiling that offers a good balance of sensitivity and reliability, being considerably more sensitive than NMR and more robust than liquid chromatography-linked mass spectrometry. W… Show more

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Cited by 1,780 publications
(1,446 citation statements)
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References 60 publications
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“…(2009) and Lisec et al . (2006). Polar phase extracts were dried using a centrifugal vacuum concentrator and spiked with 100  μ L of an internal standard solution containing 200  μ g mL −1 succinic‐d4 acid, glycine‐d5 and malonic‐d2 acid before analysis.…”
Section: Methodsmentioning
confidence: 99%
“…(2009) and Lisec et al . (2006). Polar phase extracts were dried using a centrifugal vacuum concentrator and spiked with 100  μ L of an internal standard solution containing 200  μ g mL −1 succinic‐d4 acid, glycine‐d5 and malonic‐d2 acid before analysis.…”
Section: Methodsmentioning
confidence: 99%
“…The metabolite profiling for primary metabolites was conducted using an established GC-MS protocol as described [30]. Chromatograms and mass spectra were evaluated by Chroma TOF Ò 4.2 (Leco, St. Joseph, MI) and TagFinder 4.0 [31] for quantification and annotation of the peaks using the MPI Golm Metabolome Database (GMD, http://gmd.mpimp-golm.mpg.de/, [32]).…”
Section: Metabolome Analysismentioning
confidence: 99%
“…An aliquot of 200 µL was taken and stored at −80°C until GC-and LC-MS analysis. Derivatization and analyses of metabolites by a GC-MS 7890A mass spectrometer (Agilent, Santa Clara, CA) were carried out as described 297 . Metabolites were identified in comparison to Metabolomic Discoveries' database entries of authentic standards.…”
Section: Non-targeted Metabolite Profilingmentioning
confidence: 99%