Integrating NMR and MS for Improved Metabolomic Analysis: From Methodologies to Applications
HOMOBONO BRITO DE MOURA, Patricia
Unité de Recherche Œnologie [Villenave d'Ornon] [OENO]
Biologie du fruit et pathologie [BFP]
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Unité de Recherche Œnologie [Villenave d'Ornon] [OENO]
Biologie du fruit et pathologie [BFP]
HOMOBONO BRITO DE MOURA, Patricia
Unité de Recherche Œnologie [Villenave d'Ornon] [OENO]
Biologie du fruit et pathologie [BFP]
Unité de Recherche Œnologie [Villenave d'Ornon] [OENO]
Biologie du fruit et pathologie [BFP]
VALLS FONAYET, Josep
Plateforme Bordeaux Metabolome
Unité de Recherche Œnologie [Villenave d'Ornon] [OENO]
< Réduire
Plateforme Bordeaux Metabolome
Unité de Recherche Œnologie [Villenave d'Ornon] [OENO]
Langue
en
Article de revue
Ce document a été publié dans
Molecules. 2025-06-17, vol. 30, n° 12, p. 2624
MDPI
Résumé en anglais
Metabolomics, the comprehensive analysis of low-molecular-weight metabolites (typically below 1500 DA) in biological systems, relies heavily on mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy. Each ...Lire la suite >
Metabolomics, the comprehensive analysis of low-molecular-weight metabolites (typically below 1500 DA) in biological systems, relies heavily on mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy. Each technique has inherent strengths and weaknesses. MS offers high sensitivity and is commonly coupled with chromatography to analyze complex matrices, yet it is destructive, has limited reproducibility, and provides limited structural information. NMR, while less sensitive, is non-destructive and enables structural elucidation and precise quantification. Recent studies increasingly employ data fusion (DF) strategies to combine the complementary information from NMR and MS, aiming to enhance metabolomic analyses. This review summarizes DF methodologies using NMR and MS data in metabolomics studies over the past decade. A comprehensive search of SciFinder, Scopus, and Clarivate Web of Science databases was conducted to analyze fusion techniques, methods, and statistical models. The review emphasizes the growing importance of DF in metabolomics, showing its capacity to provide a more comprehensive view of biochemical processes across diverse biological systems, including clinical, plant, and food matrices.< Réduire
Mots clés en anglais
metabolomics
data fusion
nuclear magnetic resonance (NMR)
mass spectrometry (MS)
multi-omics
Project ANR
Développement d'une infrastructure française distribuée pour la métabolomique dédiée à l'innovation - ANR-11-INBS-0010
Projet vin authenticité en RMN - ANR-21-CE21-0014
Projet vin authenticité en RMN - ANR-21-CE21-0014
Origine
Importé de halUnités de recherche