Unraveling the characteristic aroma compounds in Longjing tea and their interaction mechanisms with S-curve and broad-spectrum olfactory receptors using molecular docking

芳香 广谱 化学 对接(动物) 受体 立体化学 生物化学 食品科学 医学 组合化学 护理部
作者
Zuobing Xiao,T. Y. Shen,Yunwei Niu,Qinfei Ke,ZhenChun Sun,EnQing Yang,Xiaojie Liu,Jing Zhang,Jiancai Zhu
出处
期刊:Food bioscience [Elsevier]
卷期号:60: 104423-104423 被引量:27
标识
DOI:10.1016/j.fbio.2024.104423
摘要

The aroma of tea is one of the main sensory characteristics reflecting the quality of tea. The interactions between tea compounds were analyzed based on a S-curve method and molecular docking technology. This research examined the tea aroma intensity value before and after combination, the molecular docking energy through the predicted strength relationship, and the change of molecular docking energy and binding site to study compound interactions in the tea. The experiment showed that, according to the results of the determination of the sensory threshold value, the establishment of S-curve and the simulation calculation of molecular docking, the results of molecular docking and S-curve of the 10 characteristic compounds in tea selected in the present work reached the same conclusion. The results showed that studying the interaction of tea compounds based on molecular docking technology was simple, intuitive and reliable, which provided a theoretical basis and technical guidance for the study of the coordination action between 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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
华仔发布了新的文献求助10
1秒前
1秒前
传奇3应助Paradox采纳,获得10
2秒前
脑洞疼应助Paradox采纳,获得10
2秒前
2秒前
Owen应助Paradox采纳,获得10
2秒前
汉堡包应助Paradox采纳,获得10
2秒前
JamesPei应助Paradox采纳,获得10
2秒前
慕青应助Paradox采纳,获得10
2秒前
Jasper应助Paradox采纳,获得10
2秒前
深情安青应助Paradox采纳,获得10
2秒前
上官若男应助Paradox采纳,获得10
2秒前
科研通AI6应助自信孤风采纳,获得10
3秒前
尤里有气发布了新的文献求助10
4秒前
张杰发布了新的文献求助10
4秒前
4秒前
光亮静槐发布了新的文献求助10
4秒前
今后应助distinct采纳,获得10
6秒前
WT关闭了WT文献求助
6秒前
NexusExplorer应助李钧鹏采纳,获得10
7秒前
李健应助义气的采文采纳,获得10
8秒前
张兰兰发布了新的文献求助10
9秒前
yfn发布了新的文献求助10
10秒前
11秒前
12秒前
科研通AI6应助甜美的成败采纳,获得10
13秒前
万能图书馆应助zzznznnn采纳,获得10
13秒前
14秒前
量子星尘发布了新的文献求助10
15秒前
聂紫寒完成签到,获得积分10
16秒前
16秒前
达落完成签到,获得积分10
16秒前
17秒前
薇子发布了新的文献求助10
17秒前
zhao完成签到,获得积分10
17秒前
keyan123完成签到,获得积分10
17秒前
miemie完成签到,获得积分10
19秒前
稳重的不正完成签到,获得积分10
19秒前
1111111发布了新的文献求助10
19秒前
青乐完成签到 ,获得积分10
19秒前
高分求助中
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 临床微生物学程序手册,多卷,第5版 2000
List of 1,091 Public Pension Profiles by Region 1621
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] | NHBS Field Guides & Natural History 1500
The Victim–Offender Overlap During the Global Pandemic: A Comparative Study Across Western and Non-Western Countries 1000
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
Brittle fracture in welded ships 1000
King Tyrant 680
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5583326
求助须知:如何正确求助?哪些是违规求助? 4667155
关于积分的说明 14765758
捐赠科研通 4609337
什么是DOI,文献DOI怎么找? 2529123
邀请新用户注册赠送积分活动 1498393
关于科研通互助平台的介绍 1467043