Evidence map›Paper›PMID 42354210›Full record

ArticleFoods (Basel, Switzerland)2026

Anthocyanin Composition and pH Correlate with Berry Skin Color Across Diverse Grape Germplasm.

Fei Peng, Weichu Ouyang, Wenting Chen, Feixiong Luo, Yanshuai Xu, Guoshun Yang, Jun Tan

Abstract read
In one paragraph

Article in Foods (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.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Fei PengCollege of Horticulture, Hunan Agricultural University, Changsha 410128, China.
Weichu OuyangCollege of Horticulture, Hunan Agricultural University, Changsha 410128, China.
Wenting ChenCollege of Horticulture, Hunan Agricultural University, Changsha 410128, China.
Feixiong LuoCollege of Horticulture, Hunan Agricultural University, Changsha 410128, China.
Yanshuai XuCollege of Horticulture, Hunan Agricultural University, Changsha 410128, China.ORCID 0009-0003-8063-8230
Guoshun YangCollege of Horticulture, Hunan Agricultural University, Changsha 410128, China.
Jun TanCollege of Horticulture, Hunan Agricultural University, Changsha 410128, China.ORCID 0000-0002-7208-910X

Funding

Graduate Research Innovation Project of Hunan Agricultural University 2024XKC013NATIONAL TECHNOLOGY SYSTEM FOR GRAPE INDUSTRY CARS-29-zp-9YUELUSHAN LABORATORY BREEDING PROGRAM YSL-2025-ZY02032
6 · The paper itself

Abstract

Berry skin color CIE parameters, pH and anthocyanidin profiling of 46 grape accessions were investigated using CIE Lab system, pH measurement and anthocyanidin profiling. CIE parameters separated the samples into three groups: yellowish-green, pinkish-red, and purplish-black, and principal component analysis confirmed clear clustering, with the first two components explaining 99.1% of the variance. After anthocyanidin analysis, cyanidin was detected in all samples, whereas trace-level pelargonidin derivatives were identified by UPLC-MS/MS. Total anthocyanidin content was insufficient to evaluate the quality of berry color, but anthocyanidin composition and relative proportions showed a stronger association with color classification. Yellowish-green berries were enriched in cyanidin, while purplish berries contained more malvidin- and cyanidin. Multivariate analysis identified cyanidin, malvidin, and peonidin derivatives as the main drivers of berry skin color variations. Skin homogenate pH ranged from 3.36 to 4.63 and it was lower in wild grape relatives. Correlation analysis indicated that pH was associated with color parameters. Species-related differences in anthocyanidin glycosylation and acylation were evident, and mono/diglucosides may have potential effects on skin color. Overall, skin color appears to depend on anthocyanidin composition, relative proportions, and pH, offering a chemical basis for grape breeding and fruit quality evaluation.

Indexed as

anthocyanidin stabilityberry skin colorCIE Lab color parametersmultivariate analysispHVitis davidii

Identifiers

PMID42354210
PMCPMC13297887

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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.