Identification strategy of Fructus Gardeniae and its adulterant based on UHPLC/Q-orbitrap-MS and UHPLC-QTRAP-MS/MS combined with PLS regression model

化学 栀子花 掺假者 轨道轨道 色谱法 化学计量学 三级四极质谱仪 偏最小二乘回归 质谱法 四极离子阱 氯雷他定 传统医学 选择性反应监测 串联质谱法 离子阱 数学 统计 药理学 医学 替代医学 病理
作者
Xue Zhang,Lei Wang,Rongrong Li,Liming Wang,Zhifei Fu,Feng He,Erwei Liu,Lifeng Han
出处
期刊:Talanta [Elsevier BV]
卷期号:267: 125136-125136 被引量:16
标识
DOI:10.1016/j.talanta.2023.125136
摘要

Fructus Gardeniae (FG) is the desiccative and ripe fruits of Gardenia jasminoides Ellis in the Rubiaceae family, which is a commonly used in traditional Chinese medicine (TCM) for clearing away heat, detoxification, relieving restlessness, and eliminating blood stasis. At the same time, it has also been announced as the first batch of TCM with homology of medicine and food. Fructus Gardeniae Grandiflorae (FGG), the fruit of Gardenia jasminoides Ellis var. grandiflora Nakai (Rubiaceae), is a common counterfeit herbal medicine of FG, which still appears in the TCM market, and causes a certain degree of confusion. In order to effectively distinguish FG and its adulterant, the compounds in these two species were thoroughly characterized firstly by ultrahigh-performance liquid chromatography/quadrupole-orbitrap mass spectrometry (UHPLC/Q-Orbitrap MS). Furthermore, a pseudo-targeted metabonomics method with 60 targeted ion pairs was established based on UHPLC-triple quadrupole-linear ion trap mass spectrometry (UHPLC-QTRAP-MS) for discrimination. Multivariate statistical analysis showed that FG and FGG were clustered obviously, and 13 significantly differential markers were screened out by variable importance for projection (VIP) > 1 and p < 0.05 for the construction of the partial least squares (PLS) regression prediction model. The validation of the model proved that its prediction ability was quite satisfactory. Moreover, based on the absolute quantitative analysis of these 13 characteristics, the quality control standards of FG and FFG were established. In summary, an integral method of pseudo-targeted metabonomics combined with chemometrics analysis and a PLS regression model was proposed to provide an effective identification strategy for discrimination FG and FGG.
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
友好的翅膀发布了新的文献求助200
刚刚
慕青应助晶晶采纳,获得10
4秒前
devilito发布了新的文献求助10
4秒前
xing完成签到,获得积分10
5秒前
5秒前
7秒前
Macaco完成签到,获得积分10
9秒前
lll发布了新的文献求助10
9秒前
等待盼雁发布了新的文献求助10
11秒前
我是老大应助刘搞笑采纳,获得10
15秒前
狂野凝竹完成签到,获得积分10
17秒前
淞33完成签到 ,获得积分10
18秒前
PSCs完成签到,获得积分10
19秒前
华仔应助狂野凝竹采纳,获得10
24秒前
25秒前
25秒前
科研通AI5应助ZHou采纳,获得10
26秒前
27秒前
Cherrita完成签到,获得积分10
27秒前
27秒前
Cherrita发布了新的文献求助10
31秒前
晶晶发布了新的文献求助10
31秒前
小任性发布了新的文献求助10
33秒前
34秒前
葛怀锐完成签到 ,获得积分10
34秒前
lll完成签到,获得积分10
35秒前
39秒前
北风应助SCI采纳,获得10
40秒前
42秒前
科研通AI5应助不安梦桃采纳,获得10
44秒前
okjiujiu发布了新的文献求助10
46秒前
shadow发布了新的文献求助10
46秒前
英姑应助kai采纳,获得10
47秒前
科研通AI2S应助科研通管家采纳,获得10
49秒前
Ronaldo应助科研通管家采纳,获得10
49秒前
科研通AI5应助科研通管家采纳,获得10
49秒前
小蘑菇应助科研通管家采纳,获得10
49秒前
小马甲应助科研通管家采纳,获得10
49秒前
小宋应助科研通管家采纳,获得10
49秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Continuum Thermodynamics and Material Modelling 2000
Encyclopedia of Geology (2nd Edition) 2000
105th Edition CRC Handbook of Chemistry and Physics 1600
Maneuvering of a Damaged Navy Combatant 650
Периодизация спортивной тренировки. Общая теория и её практическое применение 310
Mixing the elements of mass customisation 300
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 3778778
求助须知:如何正确求助?哪些是违规求助? 3324341
关于积分的说明 10217992
捐赠科研通 3039436
什么是DOI,文献DOI怎么找? 1668089
邀请新用户注册赠送积分活动 798545
科研通“疑难数据库(出版商)”最低求助积分说明 758415