清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Comparison of Chemical Constituents in Magnoliae Officinalis Cortex Processed by “Sweating” and “Non Sweating” based on Ultra Fast Liquid Chromatography-Triple Quadrupole-Time of Flight Mass Spectrometry and Gas Chromatography-Triple Quadrupole Mass Spectrometry Combined with Multivariate Statistical Analysis

化学 色谱法 化学成分 质谱法 三级四极质谱仪 四极飞行时间 气相色谱法 气相色谱-质谱法 分析化学(期刊) 选择性反应监测 电喷雾电离 串联质谱法
作者
Hui Zhao,Ying Yan,Chengcheng Wang,Lisi Zou,Xunhong Liu,Shuyu Chen,Jingjing Shi
出处
期刊:Natural Product Communications [SAGE Publishing]
卷期号:13 (8) 被引量:8
标识
DOI:10.1177/1934578x1801300816
摘要

Magnoliae Officinalis Cortex (MOC) is a commonly used traditional Chinese herbal medicine, which is always preliminarily processed by “sweating”. To explore the effects of primary processing on chemical constituents in MOC and the potential chemical markers for differentiating the samples processed by “sweating” and “non sweating”, a method is proposed based on ultra fast liquid chromatography-triple quadrupole-time of flight mass spectrometry (UFLC-Triple TOF MS/MS) and gas chromatography-triple quadrupole mass spectrometry (GC-MS/MS) coupled with multivariate statistical analysis. The obtained data were analyzed by principal component analysis and partial least-squares discriminant analysis. The nonvolatile constituents were identified according to MS accurate mass and MS/MS spectrometry fragmentation information, combined with the software of database search and literatures comparison. The volatile constituents were identified according to the NIST05 library and literatures. All of the results demonstrated that the chemical constituents in MOC samples processed by “sweating” and “non sweating” were clearly distinguished. Seventeen nonvolatile differential constituents and five volatile differential constituents were identified and presented in different change laws. This study will provide the basic information for revealing the difference of chemical constituents in MOC processed by “sweating” and “non sweating” and comprehensive evaluation of its quality.
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
故意的丹萱完成签到,获得积分10
6秒前
11秒前
欢呼青枫完成签到,获得积分10
30秒前
Moto_Fang完成签到 ,获得积分10
40秒前
爱笑的笑旋完成签到,获得积分10
44秒前
49秒前
瘦瘦的如冰完成签到,获得积分10
52秒前
krvanlight发布了新的文献求助10
56秒前
59秒前
复杂的寒梅完成签到,获得积分10
1分钟前
欢呼亦绿完成签到,获得积分10
1分钟前
krvanlight完成签到,获得积分10
1分钟前
激昂的慕山完成签到,获得积分10
1分钟前
Mark2025完成签到 ,获得积分10
1分钟前
Asher发布了新的文献求助10
1分钟前
隔壁老王发布了新的文献求助10
1分钟前
1分钟前
1分钟前
烂漫的半雪完成签到,获得积分10
1分钟前
英俊的铭的应助被酷酷的大米采纳,获得10
1分钟前
斯文败类的应助被科研通管家采纳,获得10
1分钟前
null的应助被科研通管家采纳,获得10
1分钟前
黄小二完成签到 ,获得积分10
2分钟前
儒雅的夏翠完成签到,获得积分10
2分钟前
曾经的盼望完成签到,获得积分10
2分钟前
开朗的翠霜完成签到,获得积分10
2分钟前
听话的尔竹完成签到,获得积分10
2分钟前
2分钟前
2分钟前
2分钟前
锕s完成签到 ,获得积分10
2分钟前
斯文败类的应助被汪进辉_Will采纳,获得10
2分钟前
领导范儿的应助被酷酷的大米采纳,获得30
2分钟前
完美的飞兰完成签到,获得积分10
2分钟前
automan发布了新的文献求助50
3分钟前
今天也要努力呀完成签到,获得积分20
3分钟前
随心所欲完成签到 ,获得积分0
3分钟前
3分钟前
3分钟前
缓慢的秋荷完成签到,获得积分10
3分钟前
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
Les Mantodea De Guyane 2000
Guidelines for fracture-safe and fatigue-reliable design of steel structures 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
Atelier, 2nd edition 500
Study of structural arctic steel in a friction pair with ice 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 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 7993174
求助须知:如何正确求助?哪些是违规求助? 9448408
关于积分的说明 21117416
捐赠科研通 7566551
什么是DOI,文献DOI怎么找? 3379101
关于科研通互助平台的介绍 2512886
邀请新用户注册赠送积分活动 2412882