Qualitative and quantitative analysis of the components in flowers of Hemerocallis citrina Baroni by UHPLC–Q-TOF-MS/MS and UHPLC–QQQ-MS/MS and evaluation of their antioxidant activities

DPPH 芦丁 化学 衍生化 色谱法 主成分分析 抗氧化剂 凉茶 质谱法 生物化学 计算机科学 人工智能
作者
Tiancheng Ma,Junpeng Lin,Anna Gan,Yanxiu Sun,Yu Sun,Mengshi Wang,Meiqi Wan,Tingxu Yan,Ying Jia
出处
期刊:Journal of Food Composition and Analysis [Elsevier BV]
卷期号:120: 105329-105329 被引量:26
标识
DOI:10.1016/j.jfca.2023.105329
摘要

A high-resolution mass spectrometer combined with multiple data processing methods and various databases were employed to determine the components of flowers of Hemerocallis citrina Baroni (HF), and 2,2-diphenyl-1-picrylhydrazyl (DPPH) pre-column derivatization combined with UHPLC–Q-TOF-MS method was used to screen antioxidant active compounds. A total of 132 components, including flavonoids, phenylpropanoids, lipids, alkaloids, and other types of compounds were identified. Among them, 41 chemical constituents were identified for the first time in HF. Eighteen compounds were screened with significant DPPH free radical scavenging activity. A sensitive UHPLC–QQQ-MS/MS method was first developed and fully validated for the simultaneous quantification of six phenylpropanoids and ten flavonoids in HF. The highest concentration of phenylpropanoids in HF was found to be 3-O-(E)-p-coumaroylquinic acid. In terms of flavonoids, rutin accounted for the highest concentration in HF. Correlation analysis was used to analyze the correlation between the contents of different compounds in different batches, Hierarchical cluster analysis (HCA) and principal component analysis (PCA) was used to distinguish HF of different origins. Considering the compounds content in HF, correlation analysis, principal component analysis and DPPH free radical scavenging activity, five components were recommended for the quality control of HF.
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
1秒前
laj完成签到,获得积分10
1秒前
niki发布了新的文献求助10
1秒前
2秒前
2秒前
李健应助Kumiko采纳,获得10
2秒前
3秒前
CodeCraft应助LY采纳,获得10
3秒前
榕俊完成签到,获得积分10
4秒前
4秒前
思源应助平淡乐蓉采纳,获得10
5秒前
111发布了新的文献求助10
5秒前
5秒前
5秒前
liliAnh完成签到 ,获得积分10
6秒前
彭于晏应助nnn采纳,获得10
7秒前
我吃浴巾发布了新的文献求助10
7秒前
火星上的怀梦完成签到,获得积分10
7秒前
桉桉发布了新的文献求助30
7秒前
青梧发布了新的文献求助10
8秒前
星辰大海应助Kumiko采纳,获得10
8秒前
dde应助搞怪的砖家采纳,获得20
8秒前
Kumiko发布了新的文献求助10
8秒前
9秒前
XJYXJY发布了新的文献求助10
10秒前
萝米橙发布了新的文献求助10
10秒前
10秒前
汉堡包应助NING采纳,获得10
10秒前
卷卷羊发布了新的文献求助10
10秒前
华仔应助Kumiko采纳,获得10
11秒前
11秒前
12秒前
酸萝卜发布了新的文献求助10
13秒前
万能图书馆应助Kumiko采纳,获得10
14秒前
15秒前
anyu发布了新的文献求助10
15秒前
可爱的函函应助我吃浴巾采纳,获得10
16秒前
Joker完成签到,获得积分0
16秒前
SHAN完成签到 ,获得积分10
16秒前
niki完成签到,获得积分10
16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
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
The Effective Clinical Neurologist 3ed 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 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 7713013
求助须知:如何正确求助?哪些是违规求助? 9268820
关于积分的说明 20073795
捐赠科研通 7289509
什么是DOI,文献DOI怎么找? 3297783
关于科研通互助平台的介绍 2452060
邀请新用户注册赠送积分活动 2304912