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Evaluation of automated sample preparation, retention time locked GC-MS and automated data analysis for the metabolomic study of Arabidopsis species

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Abstract
One of the most critical parameters in GC-MS application to metabolimic studies is the sample preparation. Often a combination of oximation and silylation is used and this method is applicable to acids (e.g. fatty acids), sterols, amines, amino acids, sugars, etc. Automation of the derivatisation process enhances repeatability and the time between sample preparation and analysis can be kept short and constant. For analysis, retention time locked (RTL) gas chromatography/mass spectrometry was used. For data analysis, AMDIS deconvolution followed by 2 multivariate statistical approaches were used and compared. Arabidopsis thaliana, a popular model organism in plant biology and genetics, was used for testing. The data analysis software allowed the detection of several features that were up- or downregulated in the different species.
Keywords
Fiehn library, amino acid, putrescine, Retention time locking (RTL), arabidopsis thaliana leaf, gas chromatography/mass spectrometry (GC/MS), metabolomics, multivariate statistical analyses (MVA)

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Citation

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Chicago
Qun, Gu, Frank David, Lucie Jorge, Frederic Lynen, Koen Sandra, Klaus Rumpel, Guowang Xu, and Patrick Sandra. 2010. “Evaluation of Automated Sample Preparation, Retention Time Locked GC-MS and Automated Data Analysis for the Metabolomic Study of Arabidopsis Species.” In Capillary Chromatography, 34th International Symposium, Abstracts, 175–175.
APA
Qun, G., David, F., Jorge, L., Lynen, F., Sandra, K., Rumpel, K., Xu, G., et al. (2010). Evaluation of automated sample preparation, retention time locked GC-MS and automated data analysis for the metabolomic study of Arabidopsis species. Capillary Chromatography, 34th International symposium, Abstracts (pp. 175–175). Presented at the 34th International symposium on Capillary Chromatography ; 7th GC×GC Symposium.
Vancouver
1.
Qun G, David F, Jorge L, Lynen F, Sandra K, Rumpel K, et al. Evaluation of automated sample preparation, retention time locked GC-MS and automated data analysis for the metabolomic study of Arabidopsis species. Capillary Chromatography, 34th International symposium, Abstracts. 2010. p. 175–175.
MLA
Qun, Gu, Frank David, Lucie Jorge, et al. “Evaluation of Automated Sample Preparation, Retention Time Locked GC-MS and Automated Data Analysis for the Metabolomic Study of Arabidopsis Species.” Capillary Chromatography, 34th International Symposium, Abstracts. 2010. 175–175. Print.
@inproceedings{975896,
  abstract     = {One of the most critical parameters in GC-MS application to metabolimic studies is the sample preparation. Often a combination of oximation and silylation is used and this method is applicable to acids (e.g. fatty acids), sterols, amines, amino acids, sugars, etc. Automation of the derivatisation process enhances repeatability and the time between sample preparation and analysis can be kept short and constant. For analysis, retention time locked (RTL) gas chromatography/mass spectrometry was used. 
For data analysis, AMDIS deconvolution followed by 2 multivariate statistical approaches were used and compared. Arabidopsis thaliana, a popular model organism in plant biology and genetics, was used for testing. The data analysis software allowed the detection of several features that were up- or downregulated in the different species.},
  author       = {Qun, Gu and David, Frank and Jorge, Lucie and Lynen, Frederic and Sandra, Koen and Rumpel, Klaus and Xu, Guowang and Sandra, Patrick},
  booktitle    = {Capillary Chromatography, 34th International symposium, Abstracts},
  keyword      = {Fiehn library,amino acid,putrescine,Retention time locking (RTL),arabidopsis thaliana leaf,gas chromatography/mass spectrometry (GC/MS),metabolomics,multivariate statistical analyses (MVA)},
  language     = {eng},
  location     = {Riva del Garda, Italy},
  pages        = {175--175},
  title        = {Evaluation of automated sample preparation, retention time locked GC-MS and automated data analysis for the metabolomic study of Arabidopsis species},
  year         = {2010},
}