Sensitive characterization of polyphenolic antioxidants in Polygonatum odoratum by selective solid phase extraction and high performance liquid chromatography–diode array detector–quadrupole time-of-flight tandem mass spectrometry

化学 色谱法 质谱法 固相萃取 四极飞行时间 串联质谱法 萃取(化学) 色谱检测器 多酚 分析化学(期刊) 串联 高效液相色谱法 有机化学 复合材料 材料科学 抗氧化剂
作者
Xin Hu,Huading Zhao,Shuyun Shi,Hui Li,Xiaoling Zhou,Feipeng Jiao,Xinyu Jiang,Dongming Peng,Xiao‐Qin Chen
出处
期刊:Journal of Pharmaceutical and Biomedical Analysis [Elsevier BV]
卷期号:112: 15-22 被引量:26
标识
DOI:10.1016/j.jpba.2015.04.018
摘要

The complexity of natural products always leads to the co-elution of interfering compounds with bioactive compounds, which then has a detrimental effect on structural elucidation. Here, a new method, based on selective solid phase extraction combined with 1,1-diphenyl-2-picrylhydrazyl radical (DPPH) spiking and high performance liquid chromatography–diode array detector–quadrupole time-of-flight tandem mass spectrometry (HPLC–DAD–QTOF-MS/MS), is described for sensitive screening, selective extraction and identification of polyphenolic antioxidants in Polygonatum odoratum. First, 25 polyphenolic antioxidants (1–25) were screened by DPPH spiking with HPLC. Second, polydopamine coated Fe3O4 microspheres (Fe3O4@PDA) were prepared to selectively extract target antioxidants with extraction efficiency from 55% to 100% when the amount of Fe3O4@PDA, extraction time, desorption solvent and time were 10 mg, 20 min, acetonitrile, and 5 min. Third, 25 antioxidants (10 cinnamides and 15 homoisoflavanones) were identified by HPLC–DAD–QTOF-MS/MS. Furthermore, the DPPH scavenging activities of purified compounds (IC50, 1.6–32.8 μg/mL) validated the method. Among the identified antioxidants, four of them (12, 13, 18 and 19) were new compounds, four of them (2, 4, 8 and 14) were first obtained from family Liliaceae, five of them (1, 3, 5, 7 and 9) were first reported in genus Polygonatum, while one compound (24) was first identified in this species. The results indicated that the proposed method was an efficient and sensitive approach to explore polyphenolic antioxidants from complex natural 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
852应助哈哈哈采纳,获得30
1秒前
清漪发布了新的文献求助10
1秒前
漫漫楚威风完成签到 ,获得积分10
1秒前
Jorna发布了新的文献求助20
1秒前
无花果应助包容新蕾采纳,获得10
2秒前
2秒前
明理的小蜜蜂完成签到,获得积分10
2秒前
2秒前
呆萌惜梦发布了新的文献求助10
3秒前
儒雅醉冬完成签到,获得积分10
3秒前
zzx发布了新的文献求助10
3秒前
荆振州发布了新的文献求助10
4秒前
Ava应助Bagpipe采纳,获得10
4秒前
wsl发布了新的文献求助10
4秒前
5秒前
CrazyLion完成签到,获得积分10
5秒前
宣以晴完成签到,获得积分10
5秒前
LIJIngcan发布了新的文献求助10
5秒前
复杂惜霜发布了新的文献求助30
5秒前
6秒前
6秒前
小飞完成签到 ,获得积分10
6秒前
爆米花完成签到,获得积分10
7秒前
大模型应助秋子采纳,获得10
8秒前
红岸发布了新的社区帖子
9秒前
9秒前
0n1ine完成签到,获得积分10
9秒前
10秒前
敏感面包发布了新的文献求助10
10秒前
10秒前
11秒前
呆萌惜梦完成签到,获得积分10
12秒前
lgold发布了新的文献求助10
12秒前
汉堡包应助zxh采纳,获得10
12秒前
852应助和谐幻柏采纳,获得10
13秒前
今后应助wyq采纳,获得10
13秒前
BCKT完成签到,获得积分10
13秒前
科研通AI2S应助山月采纳,获得10
13秒前
13秒前
13秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Treatise on Ocular Drug Delivery 200
studies in large plastic flow and fructure 200
New Syntheses with Carbon Monoxide 200
Quanterion Automated Databook NPRD-2023 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3834697
求助须知:如何正确求助?哪些是违规求助? 3377202
关于积分的说明 10497023
捐赠科研通 3096605
什么是DOI,文献DOI怎么找? 1705084
邀请新用户注册赠送积分活动 820451
科研通“疑难数据库(出版商)”最低求助积分说明 772054