Characterisation of the Key Aroma Compounds in Black and Green Betel Nuts and Their Aroma Synergy

芳香 化学 钥匙(锁) 红茶 食品科学 生态学 生物
作者
Fengping Yi,Yuchuan Luo,Zhenglin Wu,Kaiwen Wu,Genfa Yu,Chang Su,Shengliang Liao,Guangyong Zhu
出处
期刊:Flavour and Fragrance Journal [Wiley]
标识
DOI:10.1002/ffj.3854
摘要

ABSTRACT Betel nut possesses a distinctive flavour that appeals to specific consumers, despite the well‐documented risks of oral diseases associated with its use. Understanding the characteristic aroma of betel nut is essential for developing appealing substitutes. In this study, supercritical CO 2 fluid extraction was employed to obtain extracts from green and black betel nuts, and the volatile compounds were analysed using headspace solid‐phase microextraction. A total of 30 volatile compounds were identified in green betel nuts and 37 in black betel nuts. Through the odour activity value (OAV) method, 14 key aroma compounds were identified in black betel nuts (FD ≥ 16, OAV ≥ 1). These findings were further validated by aroma reconstitution and omission tests. The aroma synergy of these compounds was also examined using the S‐curve and σ‐τ methods, revealing that smoky compounds significantly masked the perception and intensity of other aroma components. This study provides valuable flavour data for the development of betel nut substitutes, which could contribute to reducing the health risks associated with betel nut consumption.
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
刚刚
SciGPT应助茶辞采纳,获得10
刚刚
刚刚
1秒前
粗心的薯片应助十二采纳,获得10
1秒前
1秒前
默默的蜜蜂完成签到 ,获得积分10
1秒前
1秒前
Caleb完成签到,获得积分20
2秒前
tjf完成签到,获得积分20
2秒前
袁国庆发布了新的文献求助10
2秒前
楊書銘发布了新的文献求助10
2秒前
2秒前
危机的纸飞机完成签到,获得积分10
2秒前
领导范儿应助Yeeeeep采纳,获得10
2秒前
和和和完成签到,获得积分10
3秒前
4秒前
molihuakai应助大力迎曼采纳,获得10
4秒前
4秒前
科目三应助lily采纳,获得10
4秒前
Jaypac完成签到,获得积分10
5秒前
5秒前
12345完成签到,获得积分10
5秒前
bushi发布了新的文献求助10
5秒前
Robin_Tao完成签到,获得积分10
5秒前
CipherSage应助hjlab2026采纳,获得10
5秒前
cfzhang完成签到,获得积分10
6秒前
tjf发布了新的文献求助10
6秒前
chengyou完成签到,获得积分10
6秒前
朱海龙关注了科研通微信公众号
6秒前
甜蜜樱发布了新的文献求助10
6秒前
6秒前
koi发布了新的文献求助10
7秒前
7秒前
7秒前
LLL完成签到,获得积分20
8秒前
科研通AI6.4应助麦当劳采纳,获得10
8秒前
Fury完成签到 ,获得积分10
8秒前
伶俐的以晴完成签到,获得积分10
9秒前
脑洞疼应助平常丝采纳,获得10
9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
The Multiple Self-States Drawing Technique 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7769133
求助须知:如何正确求助?哪些是违规求助? 9312294
关于积分的说明 20327877
捐赠科研通 7354388
什么是DOI,文献DOI怎么找? 3315915
关于科研通互助平台的介绍 2464873
邀请新用户注册赠送积分活动 2330505