ArticleFrontiers in microbiology2022
A Snapshot of Microbial Succession and Volatile Compound Dynamics in Flat Peach Wine During Spontaneous Fermentation.
Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Machine Learning and SHAP Feature Analysis: Classification Model for Aroma Components in Green Plum Wine.Foods (Basel, Switzerland) · 2026Article
- A Snapshot of Microbial Succession and Volatile Component Dynamics of Marselan Wine in Xinjiang During Spontaneous Fermentation.Foods (Basel, Switzerland) · 2025Article
- Biodiversity and Winemaking Characteristics of Yeasts Isolated fromFoods (Basel, Switzerland) · 2025Article
- Study on the Mechanisms of Flavor Compound Changes During the Lactic Fermentation Process of Peach and Apricot Mixed Juice.Foods (Basel, Switzerland) · 2024Article
- Succession of microbiota and its influence on the dynamics of volatile compounds in the semi-artificial inoculation fermentation of mulberry wine.Food chemistry: X · 2024Article
- Analysis of Microbial Community Diversity on the Epidermis of Wine Grapes in Manasi's Vineyard, Xinjiang.Foods (Basel, Switzerland) · 2022Article
- Physicochemical Characteristics, Antioxidant Activities, and Aroma Compound Analysis of Seven Peach Cultivars (Foods (Basel, Switzerland) · 2022Article
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9 authors.
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Abstract
Flat peaches possess characteristic flavors and are rich in nutrients. The fermentation of flat peaches to produce wine through complex biochemical reactions is an effective method to overcome their seasonal defects. Spontaneously fermented flat peach wine has plentiful and strong flavors, but the microbiota of fermentation are still unknown. In this study, the microbial succession and volatile compound dynamics of spontaneous fermentation in Xinjiang flat peach wine were investigated using high-throughput sequencing (HTS) and headspace solid phase microextraction (HS-SPME) coupled with gas chromatography-mass spectrometry (GC-MS) technology, respectively, to better understand the microbiota involved. Multivariate data analysis was used to predict the relationship between microorganisms and volatile chemicals. The results showed that
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