Evidence map›Paper›PMID 39716005›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

A Protocol to Disclose the Protein Fingerprint of Commercial White Wines Based on Proteomic Tools.

Antonio Samper-Herrero, Susana Sellés-Marchart, Roque Bru-Martínez

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Article in Methods in molecular biology (Clifton, N.J.), 2025. 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
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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

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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

3 authors.

Antonio Samper-HerreroPlant Proteomics and Functional Genomics Group, Department of Biochemistry and Molecular Biology and Soil and Agricultural Chemistry, Faculty of Science, University of Alicante, Alicante, Spain.
Susana Sellés-MarchartPlant Proteomics and Functional Genomics Group, Department of Biochemistry and Molecular Biology and Soil and Agricultural Chemistry, Faculty of Science, University of Alicante, Alicante, Spain.
Roque Bru-MartínezPlant Proteomics and Functional Genomics Group, Department of Biochemistry and Molecular Biology and Soil and Agricultural Chemistry, Faculty of Science, University of Alicante, Alicante, Spain. roque.bru@ua.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteins remaining in commercial wines are responsible for the protein haze in white wine unless they are effectively removed before bottling. To avoid this undesirable phenomenon, techniques of precipitation and filtration are applied in the white wine making process to eliminate a large part of them (fining processes) (Ribéreau-Gayon et al., Handbook of enology, vol 2, 3rd edn. Wiley, Hoboken, pp 369-406, 2021). After finding treatments, a minute amount of these genetically informative biomolecules remains in the commercialized product, which makes its extraction and identification extremely difficult. The protocol described here allows for the extraction and identification of proteins present in commercial white wines using a proteomic workflow of dialysis-lyophilization-precipitation-nanoLC-MS/MS analysis. Its application to three monovarietal commercial white wines allows us a varietal differentiation of the analyzed samples and the ability to detect and identify potentially allergenic proteins. To have this information before the consumption of wine is of great importance because (1) a varietal differentiation could be used for the authentication of the wine and (2) the identification of potentially allergenic proteins responsible for adverse reactions (from the grapes or the fining agents used) will allow for the protection of allergic consumers.

Indexed as

ProteomicsTandem Mass SpectrometryWineAllergensChromatography, LiquidPeptide MappingPlant ProteinsAllergensPlant ProteinsAllergenic proteinsCommercial white wineProteomic toolsWine authentication

Identifiers

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Registered trials

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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.