Evidence map›Paper›PMID 40428485›Full record

ArticleFoods (Basel, Switzerland)2025

Effects of Different Fermentation and Clarification Methods on the Color, Physicochemical Characteristics, and Aroma Profile of Healthcare Cornus-Kiwifruit Composite Wine.

Cuiyan Zeng, Xueru Zhang, Junxia Zhang, Shuiyan Pan, Keqin Chen, Yulin Fang

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Cuiyan ZengCollege of Enology, Northwest A&F University, Yangling 712100, China.ORCID 0009-0008-2144-4432
Xueru ZhangCollege of Enology, Northwest A&F University, Yangling 712100, China.
Junxia ZhangCollege of Enology, Northwest A&F University, Yangling 712100, China.ORCID 0000-0002-6307-4299
Shuiyan PanCollege of Enology, Northwest A&F University, Yangling 712100, China.
Keqin ChenCollege of Enology, Northwest A&F University, Yangling 712100, China.
Yulin FangCollege of Enology, Northwest A&F University, Yangling 712100, China.

Funding

Development project of Arid Agriculture Laboratory in Shaanxi Province 2024ZY-JCYJ-02-46Key Research and Development Program of Shaanxi 2024NC-YBXM-024
6 · The paper itself

Abstract

A lack of distinctive features has become a significant factor limiting the development of kiwi wine. However, the rapidly growing trend of healthcare-oriented composite fruit wine with health functions and diverse flavors presents a way to address this issue. A kiwi wine fermentation method was investigated by incorporating the medicinal and edible fruits of Cornus officinalis. The results indicate that adding Cornus officinalis introduced a unique component known as iridoid glycosides to the wine. Additionally, the concentrations of phenols, total iridoid glycosides, and most aroma compounds in the wine increased after the addition of crushed Cornus officinalis following alcoholic fermentation. As the proportion of Cornus officinalis in the kiwi wine rose, so did polyphenolic substances and total iridoid glycosides; however, this diminished the wine's clarity. Additionally, a yeast addition of 200 mg/L demonstrated optimal fermentation capabilities, and a bentonite addition of 1.1 g/L exhibited an outstanding clarifying effect. These results not only enhance nutritional value and quality but also provide a theoretical foundation for the production of high-quality Cornus-kiwifruit composite wine.

Indexed as

composite fruit wineCornus officinalisfermentationkiwifruit

Identifiers

PMID40428485
PMCPMC12111703

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.