ArticleJournal of biomolecular techniques : JBT2025
A Taguchi Design of Experiments Approach for Untargeted Metabolomics Sample Preparation Optimization.
Article in Journal of biomolecular techniques : JBT, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
The field of metabolomics leverages advanced analytical techniques, such as nuclear magnetic resonance (NMR) and liquid chromatography-mass spectrometry (LC-MS), to identify and quantify metabolites that are integral to biology. The scope of untargeted metabolomics methods is highly dependent on the protocols employed prior to analysis. These include homogenization and extraction processes, which directly influence the metabolites detected and, consequently, the biological interpretations drawn. Given the substantial variability introduced by different homogenization and extraction parameters, the optimization of these protocols for non-routine or novel sample matrices is essential, particularly in core facilities where a diverse range of matrices are expected to be analyzed. In response to this need, we demonstrate the utility of a Taguchi design of experiments (DOE) method for the systematic optimization of matrix-specific sample preparation parameters using the model organism
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