Evidence map›Paper›PMID 41723187›Full record

ArticleNPJ science of food2026

A method for screening anthocyanin-protective yeast based on mulberry anthocyanins and its application.

Xiang Yin, Lan Shen, Leyi Huang, Zexuan Li, Shuzhen He, Muhui Yuan, Weibin Bai, Jianxia Sun

Abstract read
In one paragraph

Article in NPJ science of food, 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

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

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

8 authors.

Xiang Yin *Guangdong Provincial Key Laboratory of Plant Resources Biorefinery, School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou, China.
Lan Shen *Guangdong Provincial Key Laboratory of Plant Resources Biorefinery, School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou, China.
Leyi HuangGuangdong Provincial Key Laboratory of Plant Resources Biorefinery, School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou, China.
Zexuan LiGuangdong Provincial Key Laboratory of Plant Resources Biorefinery, School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou, China.
Shuzhen HeGuangdong Provincial Key Laboratory of Plant Resources Biorefinery, School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou, China.
Muhui YuanGuangdong Provincial Key Laboratory of Plant Resources Biorefinery, School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou, China.
Weibin BaiDepartment of Food Science and Engineering, Institute of Food Safety and Nutrition, Jinan University, Guangzhou, China.
Jianxia SunGuangdong Provincial Key Laboratory of Plant Resources Biorefinery, School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou, China. jxsun1220@163.com.

Funding

Guangzhou Key Research and Development Program 2025B03J0008National Key Research and Development Program 2024YFD2101300National Natural Science Foundation of China 32572601Science and Technology Program of Guangzhou 2024B03J1360
6 · The paper itself

Abstract

Anthocyanins, key pigments and bioactive compounds in red wine, degrade significantly during fruit wine fermentation, leading to substantial losses. Yeast, as the primary driver of fermentation, plays a central role in this process. Identifying yeast strains that protect anthocyanins is crucial, yet effective anthocyanin-protective strains remain unavailable. This study introduces an innovative "microplate fermentation-spectral characterization" method, validated through large-scale fermentation, with an R² value of 0.9802, distinguishing strains with high, medium, and low anthocyanin-protective abilities. Five high-efficiency strains were identified, with DYG5 showing the best performance, with a total anthocyanin retention rate of 53.50% compared to 25.47% for commercial strains, resulting in a 110.1% increase, and enhancing cyanidin-3-glucoside retention by 1162%. These strains also improved antioxidant activity and color stability in mulberry wine. The methodology provides a foundation for developing high-efficiency anthocyanin-protective strains, offering significant industrial potential for improving fruit wine quality and protection.

Identifiers

PMID41723187
PMCPMC13036060

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.