Evidence map›Paper›PMID 41169161›Full record

ArticleFEBS open bio2026

Hands-on protocol for preparing water-soluble fractions from agri-food samples for NMR-based metabolomics analysis.

Andrea Fernández-Veloso, Jaime Hiniesta-Valero, Alejandra Guerra-Castellano, Miguel A De la Rosa, Irene Díaz-Moreno

Abstract read
In one paragraph

Article in FEBS open bio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Andrea Fernández-VelosoInstituto de Investigaciones Químicas (IIQ), Centro de Investigaciones Científicas Isla de la Cartuja (cicCartuja), Universidad de Sevilla-Consejo Superior de Investigaciones Científicas (CSIC), Spain.
Jaime Hiniesta-ValeroInstituto de Investigaciones Químicas (IIQ), Centro de Investigaciones Científicas Isla de la Cartuja (cicCartuja), Universidad de Sevilla-Consejo Superior de Investigaciones Científicas (CSIC), Spain.ORCID https://orcid.org/0000-0003-2714-914X
Alejandra Guerra-CastellanoInstituto de Investigaciones Químicas (IIQ), Centro de Investigaciones Científicas Isla de la Cartuja (cicCartuja), Universidad de Sevilla-Consejo Superior de Investigaciones Científicas (CSIC), Spain.
Miguel A De la RosaInstituto de Investigaciones Químicas (IIQ), Centro de Investigaciones Científicas Isla de la Cartuja (cicCartuja), Universidad de Sevilla-Consejo Superior de Investigaciones Científicas (CSIC), Spain.
Irene Díaz-MorenoInstituto de Investigaciones Químicas (IIQ), Centro de Investigaciones Científicas Isla de la Cartuja (cicCartuja), Universidad de Sevilla-Consejo Superior de Investigaciones Científicas (CSIC), Spain.ORCID https://orcid.org/0000-0002-5318-7644

Funding

Consejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía BIO-198Consejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía DGP_PRED_2024_01272Consejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía POSTD.O.C_21_00395MCIN/AEI DIN2022-012450MICIU/AEI PID2024-157414NB-I00Universidad de Sevilla, VI PPIT
6 · The paper itself

Abstract

The aim of this study was to address the lack of protocols for nuclear magnetic resonance (NMR)-based metabolomics in the agri-food sector by providing a reproducible workflow for the preparation and analysis of water-soluble metabolite fractions. These fractions, rich in primary metabolites such as sugars, amino acids, and organic acids, are key to assessing agri-food products' composition, quality, as well as to monitor their manufacturing and development processes. The protocol differentiates solid and liquid matrices, optimizing extraction procedures accordingly. Representative agri-food products-strawberry leaves (solid) and wine (liquid)-were analyzed to demonstrate the method's versatility and applicability. Key steps include tailored sample preparation, optimization of NMR acquisition, and spectral quality control, ensuring high data quality and reproducibility. The proposed workflow enhances reproducibility across agri-food metabolomics studies and facilitates integration into broader food quality, traceability, and safety frameworks.

Indexed as

Food AnalysisMetabolomicsAmino AcidsMagnetic Resonance SpectroscopyPlant LeavesReproducibility of ResultsSolubilityWaterWineAmino AcidsWateragri‐foodmetabolomicsnuclear magnetic resonanceomic data

Identifiers

PMID41169161
PMCPMC13042967

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.