Evidence map›Paper›PMID 41008146›Full record

ArticleFoods (Basel, Switzerland)2025

Effects of Pretreatment Methods on Volatile Compounds in Fermented Cabernet Sauvignon Musalais by Gas Chromatography-Ion Mobility Spectrometry (GC-IMS).

Jianlin Zhang, Buhailiqiemu Abudureheman, Minqiang Guo, Lin Chen, Qian Li, Zhuanzhuan Lv, Tiantian Long, Shuai Zhu, Haibo Pan, Xingqian Ye

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Jianlin ZhangCenter for Experimental Instruction in Food Safety and Nutrition, Xinjiang Institute of Technology, Aksu 843000, China.
Buhailiqiemu AbudurehemanCenter for Experimental Instruction in Food Safety and Nutrition, Xinjiang Institute of Technology, Aksu 843000, China.ORCID 0000-0002-5369-2747
Minqiang GuoCenter for Experimental Instruction in Food Safety and Nutrition, Xinjiang Institute of Technology, Aksu 843000, China.
Lin ChenCenter for Experimental Instruction in Food Safety and Nutrition, Xinjiang Institute of Technology, Aksu 843000, China.
Qian LiCenter for Experimental Instruction in Food Safety and Nutrition, Xinjiang Institute of Technology, Aksu 843000, China.
Zhuanzhuan LvCenter for Experimental Instruction in Food Safety and Nutrition, Xinjiang Institute of Technology, Aksu 843000, China.
Tiantian LongCenter for Experimental Instruction in Food Safety and Nutrition, Xinjiang Institute of Technology, Aksu 843000, China.
Shuai ZhuCenter for Experimental Instruction in Food Safety and Nutrition, Xinjiang Institute of Technology, Aksu 843000, China.
Haibo PanCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
Xingqian YeCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.

Funding

Key Laboratory of Musalles quality testing, Xinjiang Institute of Technology No.PT202102Special training Project for minorities in Xinjiang Uygur Autonomous Region No.2023D03015
6 · The paper itself

Abstract

This study investigated the correlation between flavor compounds and basic physicochemical properties of ordinary wine and Musalais wine with different pretreatment processes derived from Cabernet Sauvignon grapes. Key findings revealed significant differences in volatile compositions between Cabernet Sauvignon Musalais and the control group (ordinary wine, conventional Cabernet Sauvignon wine). Musalais samples exhibited certain commonalities in volatile profiles across different fermentation temperatures, and significant distinctions were also observed. Gas chromatography-ion mobility spectrometry (GC-IMS) identified 32 volatile compounds, with esters being the predominant contributors. Principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) based on the peak volumes of the 32 variables demonstrated that the first two principal components accounted for 72.2% of the cumulative variance, enabling effective differentiation of wine samples from the ordinary wine and Musalais of different treatment groups. PLS-DA further screened 13 characteristic biomarkers from the 32 volatile compounds through variable importance in projection (VIP) scoring. A correlation analysis was conducted on the basic indicators and volatile components of ordinary wine and three Musalais wines under different treatments, revealing differences both among the basic indicators (such as residual sugar, total phenolics, total acidity, total flavonoids, pH, and ethanol content) and between these indicators and volatile components. This methodology provides novel insights into crafting Cabernet Sauvignon Musalais with a unique flavor profile, advancing the optimization of fermentation strategies for traditional Chinese fruit wines.

Indexed as

Cabernet Sauvignon MusalaiscorrelationGC-IMSvolatile compositions

Identifiers

PMID41008146
PMCPMC12469740

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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.