Evidence map›Paper›PMID 40809721›Full record

ArticleFood chemistry: X2025

Pre-harvest Chitooligosaccharide application enhances phenolic composition, antioxidant capacity, and sensory quality of cabernet Gernischt grapes (

Man Zhao, Ruwen Guan, Kai Wang, Xueya Zhang, Mingjie Mou, Min Li, Faisal Eudes Sam, Yumei Jiang

Abstract read
In one paragraph

Article in Food chemistry: X, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Man ZhaoCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Ruwen GuanCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Kai WangCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Xueya ZhangCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Mingjie MouCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Min LiCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China.
Faisal Eudes SamCollege of Enology, Northwest A&F University, Xianyang 712100, China.
Yumei JiangCollege of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluates the effects of pre-harvest chitooligosaccharide (COS) application on the quality of Cabernet Gernischt grapes and wine. Grapevines were sprayed with 0.37 mM COS and 0.1 % Tween 80 at fruit expansion (CE), veraison (CV), and maturity (CM) stages, for the control (CK), water was used with 0.1 % Tween 80. Post-harvest, the physicochemical properties, phenolic composition, antioxidant capacity, color attributes, and sensory characteristics of the grapes and wine were analyzed. COS treatment promoted the physicochemical indicators, phenolic substances, antioxidant capacity and color quality of grapes compared to CK, thus improving the quality of wine. Sensory evaluation showed the sensory quality of wine treated with COS is superior to that of CK, especially for the CM stage produced the best sensory quality. These findings demonstrate that COS is an effective plant elicitor for enhancing red wine grape and wine quality, offering a practical approach to improving sensory and physicochemical attributes.

Indexed as

Cabernet Gernischt grapeChitooligosaccharidePhenolic substancesSensoryWine

Identifiers

PMID40809721
PMCPMC12345997

What OpenQuestion holds

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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.