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PMID: 15265734 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Design of experiments: an efficient strategy to identify factors influencing extraction and derivatization of Arabidopsis thaliana samples in metabolomic studies with gas chromatography/mass spectrometry.

Analytical biochemistry ·Vol. 331 ·No. 2 ·2004-08-15 ·Pages 283-95

Gullberg J, Jonsson P, Nordström A, Sjöström M, Moritz T

Abstract

The usual aim in metabolomic studies is to quantify the entire metabolome of each of a series of biological samples. To do this for complex biological matrices, e.g., plant tissues, efficient and reproducible extraction protocols must be developed. However, derivatization protocols must also be developed if GC/MS (one of the mostly widely used analytical methods for metabolomics) is involved. The aim of this study was to investigate how different chemical and physical factors (extraction solvent, derivatization reagents, and temperature) affect the extraction and derivatization of the metabolome from leaves of the plant Arabidopsis thaliana. Using design of experiment procedures, variation was systematically introduced, and the effects of this variation were analyzed using regression models. The results show that this approach allows a reliable protocol for metabolomic analysis of Arabidopsis to be determined with a relatively limited number of experiments. Following two different investigations an extraction and derivatization protocol was chosen. Further, the reproducibility of the analysis of 66 endogenous compounds was investigated, and it was shown that both hydrophilic and lipophilic compounds were detected with high reproducibility.

MeSH Terms
Arabidopsis/chemistry Gas Chromatography-Mass Spectrometry/methods Plant Extracts/analysis Reproducibility of Results
Chemicals
Plant Extracts
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Gullberg Jonas
Umeå Plant Science Center, Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, SE-901 87 Umeå, Sweden.
Jonsson Pär
Nordström Anders
Sjöström Michael
Moritz Thomas
Article Info
Journal
Analytical biochemistry
Abbr.
Anal Biochem
ISSN
0003-2697
Published
2004-08-15
Pages
283-95
Language
English
Region
United States
NLM ID
0370535
Subset
IM
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