首页> 外文期刊>Journal of separation science. >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
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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

机译:利用高效液相色谱法利用线性离子捕集轨体质谱法,灵活而有强大的缬草雅南·琼斯的定性和定量分析策略

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摘要

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.
机译:缬草是一种重要的药用植物,其品质与产地密切相关。在当前的研究中,我们使用了一种灵活而强大的策略来综合评估中国15个地区的质量多样性。该方法基于混合线性离子阱Orbitrap质谱平台。对于结构表征,通过使用数据相关的多级质谱采集分析一系列标准化合物来检测碎片模式。建立了缬草三酯的片段离子数据库,并通过片段离子搜索对获得的数据进行高通量筛选,以进行化合物鉴定。出于定量目的,我们使用SIEVE 2.0标准化了15个样品的质谱数据,并使用主成分分析结合层次聚类分析对成分差异进行了分析。结果从缬草中鉴定出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,我们使用二极管阵列检测器的高效液相色谱法比较了戊曲酯、乙酰戊曲酯和巴德里醛的含量。我们开发并验证了一种全面的定性和定量分析方法,以实现缬草的质量控制。

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