Evidence map›Paper›PMID 40515963›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2025

Untargeted analysis of hydrophilic metabolites using enhanced LC-MS separation with a pentafluoro phenylpropyl-functionalized column and prediction-based MS/MS spectrum annotation.

Masaru Sato, Kazutaka Ikeda

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Article in Metabolomics : Official journal of the Metabolomic Society, 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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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Masaru SatoLaboratory of Biomolecule Analysis, Department of Applied Genomics, Kazusa DNA Research Institute, Kisarazu, Chiba, Japan.
Kazutaka IkedaLaboratory of Biomolecule Analysis, Department of Applied Genomics, Kazusa DNA Research Institute, Kisarazu, Chiba, Japan. kaikeda@kazusa.or.jp.

Funding

Japan Agency for Medical Research and Development-Core Research for Evolutionary Medical Science and Technology 23gm1710006s0201
6 · The paper itself

Abstract

introductionWide-targeted metabolome analysis has been applied in studies on the biology of mammals, plants, and microorganisms. However, there are still issues regarding both analytical and informatics technologies for establishing an untargeted and comprehensive analysis of hydrophilic primary and secondary metabolites.

objectivesThis study aimed to develop an improved chromatographic method for analyzing hydrophilic metabolites and an annotation method for these diverse metabolites.

methodsWe investigated the performance of a pentafluoro phenylpropyl-functionalized column (PFP column) for the comprehensive analysis of hydrophilic metabolites by liquid chromatography-mass spectrometry (LC-MS). Peaks were annotated using MS/MS spectral similarity searches of the predicted and experimental MS/MS spectra in metabolite structure databases.

resultsThe improved retention and peak shapes of the standard compounds were obtained using LC-MS analysis with a PFP column. The mobile phases comprised water with 0.1% formic acid and methanol with 0.1% formic acid and 10 mM ammonium formate. From the annotation results of the 48 standard compounds, the chemical structures were correctly annotated in 54% of the compounds. However, over 70% of the compounds were annotated as biologically relevant based on the natural product classification. When these methods were applied to the analysis of tomato fruits, 658 and 458 peaks were detected and annotated in the positive and negative ion analyses, respectively.

conclusionMetabolome analysis combined with LC-MS analysis and annotation can contribute to the comprehensive analysis of hydrophilic metabolites.

Indexed as

MetabolomeMetabolomicsTandem Mass SpectrometryChromatography, LiquidHydrophobic and Hydrophilic InteractionsLiquid Chromatography-Mass SpectrometryHydrophilic metaboliteLC-MS analysisMetabolite annotationUntargeted metabolome analysis

Identifiers

PMID40515963
PMCPMC12167282

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