Chromatographic Fingerprint Analysis and Rutin and Quercetin Compositions in the Leaf and Whole-Plant Samples of Di- and Tetraploid Gynostemma pentaphyllum

绞股蓝 芦丁 槲皮素 类黄酮 化学 橙皮苷 色谱法 植物 生物 萃取(化学) 抗氧化剂 生物化学 医学 病理 替代医学
作者
Zhuohong Xie,Yang Zhao,Pei Chen,Pu Jing,Jin Yue,Liangli Yu
出处
期刊:Journal of Agricultural and Food Chemistry [American Chemical Society]
卷期号:59 (7): 3042-3049 被引量:49
标识
DOI:10.1021/jf104329v
摘要

Gynostemma pentaphyllum (Thunb.) Makino, also known as jiaogulan, has been shown to have antioxidant, antiproliferative, and anti-inflammatory activities. Flavonoid is considered a major contributor for these beneficial effects. To obtain chemical patterns of flavonoids in G. pentaphyllum of different genotypes (di- versus tetraploids) and different parts (leaf versus whole plant) of plants, the extraction condition was optimized and a fingerprinting approach was established by means of high-performance liquid chromatography coupled with diode array detection and mass spectrometry (HPLC−DAD−MS). Eight flavonoids were identified, among which rutin and quercetin were quantified. The highest levels of rutin and quercetin were 23.03 and 12.10 mg/g, respectively, observed in the diploid leaf sample 2L3 and 2L2, while the lowest levels of rutin and quercetin were 1.92 and 0.25 mg/g in the tetraploid whole-plant sample 4W3. The chemical patterns were further analyzed by similarity calculation and principal component analysis (PCA). Seven common characteristic peaks were found in all of the tested samples. Flavonoid patterns of tetraploids were significantly different from those of diploids, whereas different parts of plants showed less difference. The flavonoid pattern of the diploid leaf sample was most similar to that of the reference botanical G. pentaphyllum. The combination of chromatographic fingerprint and quantification analysis could be used for quality assessment of G. pentaphyllum and its derived nutraceutical products.
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
传奇3应助虚幻雨采纳,获得10
刚刚
orixero应助俊俊采纳,获得10
刚刚
华仔应助玩命的以丹采纳,获得10
刚刚
刚刚
1秒前
dagongren完成签到,获得积分10
1秒前
todo完成签到 ,获得积分10
1秒前
Shmily发布了新的文献求助20
1秒前
能干的怀莲应助julien采纳,获得10
2秒前
zhaohepeng完成签到,获得积分10
2秒前
你说什么完成签到,获得积分10
2秒前
YYYYSO应助Kin采纳,获得50
2秒前
桐桐应助Simple采纳,获得10
2秒前
耍酷鼠标完成签到 ,获得积分0
2秒前
wjh完成签到,获得积分10
3秒前
433发布了新的文献求助10
3秒前
苗小鱼完成签到,获得积分20
3秒前
yaro完成签到,获得积分10
3秒前
脑洞疼应助77采纳,获得10
3秒前
3秒前
fff完成签到,获得积分10
4秒前
爱沫哈完成签到,获得积分10
4秒前
彩色衬衫发布了新的文献求助10
4秒前
ZHANG完成签到,获得积分10
4秒前
张小兔啊完成签到,获得积分10
5秒前
忧郁的汉堡完成签到,获得积分10
5秒前
陈泽显完成签到,获得积分10
5秒前
ano发布了新的文献求助10
5秒前
烂漫的柜子完成签到,获得积分10
5秒前
愉快迎南完成签到,获得积分10
5秒前
风飒飒完成签到 ,获得积分10
6秒前
zhanyk发布了新的文献求助10
6秒前
6秒前
灰太狼完成签到 ,获得积分10
6秒前
6秒前
喜悦兔子完成签到 ,获得积分10
6秒前
研友_Ze2oV8完成签到 ,获得积分10
7秒前
qianru完成签到,获得积分10
7秒前
bettyscu发布了新的文献求助10
7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
Rosenblum, Global Change Biology 800
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7779003
求助须知:如何正确求助?哪些是违规求助? 9319252
关于积分的说明 20370178
捐赠科研通 7366324
什么是DOI,文献DOI怎么找? 3319323
关于科研通互助平台的介绍 2467348
邀请新用户注册赠送积分活动 2334821