Suppr超能文献

基于 UHPLC/Q-Orbitrap-MS 和 UHPLC-QTRAP-MS/MS 结合 PLS 回归模型的栀子及其混伪品的鉴定策略。

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

机构信息

State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai district, Tianjin, 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin, 301617, PR China.

First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, 300381, PR China.

出版信息

Talanta. 2024 Jan 15;267:125136. doi: 10.1016/j.talanta.2023.125136. Epub 2023 Sep 3.

Abstract

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.

摘要

栀子(FG)是茜草科栀子属植物栀子的干燥成熟果实,是一种常用的中药,具有清热泻火、解毒、除烦、活血化瘀的功效。同时,它也被宣布为第一批药食同源的中药。大花栀子(FGG),栀子的果实。var. grandiflora Nakai(茜草科),是 FG 的常见假冒草药,仍出现在中药市场,造成一定程度的混淆。为了有效鉴别 FG 和其掺杂物,首先采用超高效液相色谱/四极杆轨道阱质谱(UHPLC/Q-Orbitrap MS)对这两种植物的化合物进行了全面表征。此外,还建立了一种基于 UHPLC-三重四极杆-线性离子阱质谱(UHPLC-QTRAP-MS)的伪靶向代谢组学法,用 60 个靶向离子对进行鉴别。多变量统计分析表明,FG 和 FGG 明显聚类,通过 VIP>1 和 p<0.05 筛选出 13 个具有显著差异的标志物,用于构建偏最小二乘(PLS)回归预测模型。该模型的验证证明其预测能力相当令人满意。此外,还基于这 13 个特征的绝对定量分析,建立了 FG 和 FFG 的质量控制标准。总之,提出了一种伪靶向代谢组学与化学计量学分析相结合的整体方法和 PLS 回归模型,为鉴别 FG 和 FGG 提供了有效的识别策略。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验