Characterization of key aroma compounds and core functional microorganisms in different aroma types of Liupao tea

芳香 食品科学 生物 芳香化合物 植物
作者
Qin Li,Xin Hong,Xuexue Zheng,Yong‐Quan Xu,Xiumei Lai,Cuiqin Teng,Wenliang Wu,Jian‐An Huang,Zhonghua Liu
出处
期刊:Food Research International [Elsevier BV]
卷期号:152: 110925-110925 被引量:75
标识
DOI:10.1016/j.foodres.2021.110925
摘要

Liupao tea is a representative Chinese dark tea. Stale-aroma type, betelnut-aroma type and fungal-aroma type were the main aroma types of Liupao tea. In this study, aroma profiles and fungal communities of the three aroma types of Liupao tea were examined by HS-SPME/GC–MS and Illumina MiSeq analysis. A total of 102 volatiles were identified and quantified in Liupao tea. Indicated by OPLS-DA analysis, six aroma compounds with stale, woody, roasted notes in stale-aroma type samples, five aroma compounds possessing smoky, minty, pungent notes in betelnut-aroma type samples, and nine aroma compounds owned minty, floral, fruity, woody, green notes in fungal-aroma type samples were responsible for the different aroma characteristics formation of Liupao tea. In addition, a total of 60 fungal genera were identified in Liupao tea. Aspergillus, Wallemia, Xeromyces were the predominant fungal genera in Liupao tea. Ten fungal genera, including Wallemia, Tritirachium, Debaryomyces, Trichomonascus, unclassified_o_Hypocreales in betelnut-aroma type, Rasamsonia, Candida, Blastobotrys, Acremonium in stale-aroma type, and Xeromyces in fungal-aroma type, were identified as the biomarkers in the three aroma types of Liupao tea. Furthermore, fungal genera including Aspergillus, Wallemia, Xeromyces, and Blastobotrys were identified as the core functional microorganisms contributing to the variation of volatile profiles based on O2PLS analysis. This study provided useful information on the key aroma compounds and core functional microorganisms that drive the different aroma characteristics formation of Liupao tea.
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
现代的成威完成签到,获得积分10
1秒前
酪酪Alona发布了新的文献求助10
2秒前
2秒前
开飞机的芒果完成签到,获得积分10
2秒前
谢一清完成签到,获得积分20
3秒前
3秒前
5秒前
5秒前
6秒前
小怪兽完成签到 ,获得积分10
6秒前
Shayulajiao发布了新的文献求助10
6秒前
ltx发布了新的文献求助50
8秒前
天罡发布了新的文献求助50
9秒前
pl就是你完成签到,获得积分10
9秒前
uracil97完成签到,获得积分10
9秒前
9秒前
lgx完成签到,获得积分10
10秒前
Improve完成签到,获得积分0
10秒前
11秒前
11秒前
福风发布了新的文献求助10
12秒前
阿依咕噜完成签到,获得积分10
13秒前
科研通AI6.1应助as112358采纳,获得10
14秒前
zzh完成签到,获得积分10
14秒前
裴瑞志完成签到,获得积分10
14秒前
14秒前
16秒前
77发布了新的文献求助50
17秒前
茄茄发布了新的文献求助10
18秒前
NaiZeMu发布了新的文献求助10
19秒前
biochemistry发布了新的文献求助20
21秒前
蓝天发布了新的文献求助10
21秒前
24秒前
Jasper应助金枪鱼子采纳,获得10
26秒前
Ava应助ltx采纳,获得10
26秒前
26秒前
科研通AI6.4应助Donutz采纳,获得10
26秒前
27秒前
27秒前
29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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Instituting Science: The Cultural Production of Scientific Disciplines 666
Signals, Systems, and Signal Processing 610
The Organization of knowledge in modern America, 1860-1920 / 600
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6360322
求助须知:如何正确求助?哪些是违规求助? 8174527
关于积分的说明 17218068
捐赠科研通 5415387
什么是DOI,文献DOI怎么找? 2865877
邀请新用户注册赠送积分活动 1843138
关于科研通互助平台的介绍 1691313