Evidence map›Paper›PMID 42513207›Full record

ArticleMolecules (Basel, Switzerland)2026

Comparative Analysis of Oligosaccharide and Phenolic Profiles in White and Red Grape Pomace from California.

Bruna Paviani, Xueqi Li, Han Peng, Mara Baller, Selina C Wang, Daniela Barile

Abstract readComparative Study
In one paragraph

Article in Molecules (Basel, Switzerland), 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

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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

6 authors.

Bruna PavianiDepartment of Food Science and Technology, University of California, Davis, Davis, CA 95616, USA.ORCID 0000-0001-6409-6994
Xueqi LiDepartment of Food Science and Technology, University of California, Davis, Davis, CA 95616, USA.ORCID 0000-0002-5400-1813
Han PengDepartment of Food Science and Technology, University of California, Davis, Davis, CA 95616, USA.
Mara BallerDepartment of Food Science and Technology, University of California, Davis, Davis, CA 95616, USA.
Selina C WangDepartment of Food Science and Technology, University of California, Davis, Davis, CA 95616, USA.ORCID 0000-0002-9030-837X
Daniela BarileDepartment of Food Science and Technology, University of California, Davis, Davis, CA 95616, USA.ORCID 0000-0002-3889-1596

Funding

Sonomaceuticals LLC A22-2313
6 · The paper itself

Abstract

The substantial volume of agrifood processing side streams represents a global sustainability challenge that requires transformation of agricultural residues into high-value molecular components. Grape pomace (GP) is a major winemaking co-product whose chemical diversity remains underutilized due to a lack of high-resolution structural data. This study applies advanced analytical platforms to provide a comprehensive molecular characterization of oligosaccharides (OS) and phenolics in GP from four grape varieties (Chardonnay, Sauvignon Blanc, Pinot Noir, and Merlot) from California. Results demonstrate that the molecular signature of the material is highly dependent on the variety and its corresponding processing; white wine pomaces exhibited significantly higher residual sugars and generally greater OS diversity compared to red wine pomaces. Using LC-Q-ToF-MS, 39 oligosaccharides were identified, primarily composed of hexoses and pentoses. Characterization of the OS building blocks via LC-QqQ-MS revealed the dominance of glucose and fructose, followed by arabinose and xylose. In parallel, targeted phenolics quantification by UPLC-DAD showed that (+)-catechin and (-)-epicatechin accounted for up to 50% of quantified phenolics in Chardonnay pomace and 45% in Pinot Noir pomace. This work highlights the molecular intricacies of GP, providing a compositional foundation for its targeted valorization.

Indexed as

OligosaccharidesPhenolsVitisCaliforniaWineOligosaccharidesPhenolsgrape marcgut healthLC-MSprebioticsupcycling

Identifiers

PMID42513207
PMCPMC13415610

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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.