Evidence map›Paper›PMID 37382613›Full record

ArticleApplied microbiology and biotechnology2023

Comparison of microbial communities and volatile profiles of wines made from mulberry and grape.

Mingyue Ji, Jiangang Gong, Yiling Tian, Changwei Ao, Yue Li, Jianxin Tan, Guoqiang Du

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Article in Applied microbiology and biotechnology, 2023. 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.

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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

7 authors.

Mingyue Ji *College of Food Science and Technology, Hebei Agricultural University, Baoding, 071001, People's Republic of China.
Jiangang Gong *College of Food Science and Technology, Hebei Agricultural University, Baoding, 071001, People's Republic of China.
Yiling TianCollege of Food Science and Technology, Hebei Agricultural University, Baoding, 071001, People's Republic of China.
Changwei AoCollege of Food Science and Technology, Hebei Agricultural University, Baoding, 071001, People's Republic of China.
Yue LiCollege of Food Science and Technology, Hebei Agricultural University, Baoding, 071001, People's Republic of China.
Jianxin TanCollege of Food Science and Technology, Hebei Agricultural University, Baoding, 071001, People's Republic of China. jianxintan@sina.com.ORCID http://orcid.org/0000-0002-2796-1958
Guoqiang DuCollege of Horticulture, Hebei Agricultural University, Baoding, 071001, People's Republic of China. gdu@hebau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, three kinds of wines separately made from mulberry (MW), grape (GW), or mulberry/grape (MGW) were developed and their enological parameters, sensory scores, volatile components, and microbiota were investigated and compared. Contrary to the order of residual sugar and acidity of the three kinds of wines, the order of alcohol content from high to low is GW, MW, and MGW. A total of 60 volatile components (VCs), including esters (17), alcohols (12), acids (6), aldehydes (7), ketones (3), alkenes (3), amines (3), alkanes (4), pyrazines (2), benzene (1), sulfide (1), and thiazole (1), were identified by gas chromatography-ion mobility spectrometer (GC-IMS). The fingerprint of VCs and principal component analysis revealed that the volatile profiles of MGW and GW were more similar in comparison to that of MW and were significantly correlated with the mass ratio of mulberry to grape. Lactobacillus, Weissella, Pantoea, Leuconostoc, Lactococcus, Paenibacillus, Pediococcus, and Saccharomyces were identified as the main microflora at the genus level shared by the MW, MGW, and GW, suggesting that the heterolactic bacteria may contribute more to the high content of volatile acids in MW and MGW. The heatmap of core microbiota and main VCs of MW, MGW, and GW suggested the complicated and significant correlation between them. The above data implied that the volatile profiles were more closely related to the raw materials of winemaking and markedly affected by the fermentation microorganisms. This study provides references for evaluation and characterization of MGW and MW and improvement of MGW and MW winemaking process. KEY POINTS: • Fruit wine enological parameters, volatile profile, and microbiota were compared. • Sixty volatile compounds were identified by GC-IMS in three types of fruit wines. • Winemaking materials and microbiota affect volatile profiles of the fruit wines.

Indexed as

MicrobiotaMorusVitisVolatile Organic CompoundsWineFermentationFruitOdorantsVolatile Organic CompoundsCorrelation analysisGC-IMSMicrobial communityMulberry-grape wineVolatile profile

Identifiers

PMID37382613

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