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采用高效液相色谱-线性离子阱/轨道阱质谱联用技术,建立了一种灵活、强大的缬草属植物缬草中缬草三酯类化合物的定性定量分析策略。

Flexible and powerful strategy for qualitative and quantitative analysis of valepotriates in Valeriana jatamansi Jones using high-performance liquid chromatography with linear ion trap Orbitrap mass spectrometry.

机构信息

Beijing Institute of traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.

School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.

出版信息

J Sep Sci. 2017 May;40(9):1906-1919. doi: 10.1002/jssc.201601406. Epub 2017 Apr 18.

Abstract

Valeriana jatamansi Jones is an important medicinal plant and its quality is closely related to its region of origin. In the current study, we utilized a flexible and powerful strategy for comprehensive evaluation of the quality diversity for 15 regions in China. The method was based on a hybrid linear ion trap-Orbitrap mass spectrometry platform. For structure characterization, fragmentation patterns were detected by analyzing a series of standard compounds using data dependent multistage mass spectrometry acquisition. A fragment ion database for valepotriates was established, and the acquired data were high throughput filtered by fragment ion search for compound identification. For quantitative purposes, we normalized the mass spectrometry data of 15 samples using SIEVE 2.0 and the differences in composition were analyzed using principal component analysis combined with hierarchical clustering analysis. The results identified a total of 92 compounds from Valeriana jatamansi Jones. Samples from Dali, Kunming, and Baoshan have better qualities and concentrations of the main active constituents. To verify our strategy, we compared the valtrate, acevaltrate, and baldrinal contents using high-performance liquid chromatography with diode array detector. We developed and validated a comprehensive qualitative and quantitative analytical method to achieve quality control of Valeriana jatamansi Jones.

摘要

缬草(Valeriana jatamansi Jones)是一种重要的药用植物,其质量与其产地密切相关。在本研究中,我们采用了一种灵活且强大的策略,对中国 15 个地区的质量多样性进行了综合评估。该方法基于混合线性离子阱-Orbitrap 质谱平台。为了进行结构表征,通过使用数据依赖的多级质谱采集分析一系列标准化合物来检测碎裂模式。建立了缬草酯的碎片离子数据库,并通过碎片离子搜索对获得的数据进行高通量过滤,以进行化合物鉴定。为了定量目的,我们使用 SIEVE 2.0 对 15 个样品的质谱数据进行归一化,并使用主成分分析结合层次聚类分析对成分差异进行分析。结果从缬草(Valeriana jatamansi Jones)中鉴定出了总共 92 种化合物。来自大理、昆明和保山的样品具有更好的质量和主要活性成分的浓度。为了验证我们的策略,我们使用高效液相色谱法与二极管阵列检测器比较了缬草酯、乙酰缬草酯和缬草醛的含量。我们开发并验证了一种全面的定性和定量分析方法,以实现缬草(Valeriana jatamansi Jones)的质量控制。

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