From microbial communities to aroma profiles: A comparative study of spontaneous fermentation in merlot and cabernet sauvignon wines

芳香 食品科学 发酵 葡萄酒的香气 葡萄酒 生物 化学 生物技术
作者
Qinqin Liu,Nan Hao,Lan Mi,Shuai Peng,Akumawah Kyen Marie-Colette,Xuefang Zhao,J. Wang
出处
期刊:Food Chemistry: X [Elsevier BV]
卷期号:26: 102317-102317 被引量:7
标识
DOI:10.1016/j.fochx.2025.102317
摘要

This study aimed to compare the microbial community composition and aroma characteristics during the fermentation of different grape cultivars, Merlot and Cabernet Sauvignon. Principal Component Analysis (PCA), Partial Least Squares Discriminant Analysis (PLS-DA), and Odor Activity Value (OAV) screening identified 15 distinct active compounds. The sensory evaluation indicated that Merlot wine exhibited a more intense fruity aroma and received higher overall scores than Cabernet Sauvignon wine. High-throughput sequencing (HTS) results revealed that the microbial diversity in Merlot was higher than in Cabernet Sauvignon wine. Lachancea, Acremonium, Fructobacillus, and Lactiplantibacillus were unique to the Merlot wine, whereas Penicillium, Wickerhamomyces, Gluconobacter, and Klebsiella were exclusive to Cabernet Sauvignon wine. Saccharomyces and Tatumella were identified as the dominant microorganisms during the fermentation of both Merlot and Cabernet Sauvignon wines. Correlation analysis demonstrated a significant positive association among the dominant microbial communities, which played a crucial role in determining the formation of volatile compounds.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
研友_LmAWYL完成签到,获得积分10
刚刚
hanwen发布了新的文献求助20
2秒前
2秒前
赘婿应助铁锤牛马版采纳,获得10
3秒前
GGG关注了科研通微信公众号
3秒前
3秒前
3秒前
熬夜修士发布了新的文献求助10
3秒前
Longfenzhong发布了新的文献求助10
4秒前
xusujuan完成签到 ,获得积分10
5秒前
6秒前
6秒前
6秒前
writan驳回了ding应助
7秒前
852应助bzb采纳,获得10
8秒前
8秒前
NICE发布了新的文献求助10
9秒前
Sutera发布了新的文献求助10
9秒前
茂茂发布了新的文献求助30
10秒前
10秒前
魁梧的乐天完成签到 ,获得积分10
10秒前
cdw发布了新的文献求助10
11秒前
深情安青应助dududu采纳,获得10
12秒前
cao发布了新的文献求助10
13秒前
1111发布了新的文献求助10
13秒前
草履虫发布了新的文献求助10
14秒前
14秒前
英俊的铭应助happy8le采纳,获得10
15秒前
16秒前
狂野的老黑完成签到,获得积分10
16秒前
zeng发布了新的文献求助10
16秒前
16秒前
17秒前
17秒前
Tcell发布了新的文献求助10
18秒前
小二郎应助001采纳,获得10
18秒前
19秒前
20秒前
Lucas应助阿眠采纳,获得10
20秒前
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
Comparative Elite Sport Development Systems, Structures and Public Policy 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7637373
求助须知:如何正确求助?哪些是违规求助? 9210973
关于积分的说明 19757588
捐赠科研通 7204676
什么是DOI,文献DOI怎么找? 3275647
关于科研通互助平台的介绍 2437328
邀请新用户注册赠送积分活动 2272834