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采用非靶向高效液相色谱指纹图谱和靶向电喷雾离子化串联质谱/飞行时间质谱分析技术对肿节风药材中的酚类成分进行表征。

Characterization of phenolics of Sarcandra glabra by non-targeted high-performance liquid chromatography fingerprinting and following targeted electrospray ionisation tandem mass spectrometry/time-of-flight mass spectrometry analyses.

机构信息

Research and Development Center of Natural Medicine, Zhejiang Agriculture and Forestry University, Lin'an, Zhejiang Province 311300, China.

出版信息

Food Chem. 2013 Jun 15;138(4):2390-8. doi: 10.1016/j.foodchem.2012.12.027. Epub 2012 Dec 29.

DOI:10.1016/j.foodchem.2012.12.027
PMID:23497900
Abstract

In this study, we successfully characterised the phenolic profiles of Sarcandra glabra (Thunb.) Nakai by high-performance liquid chromatography (HPLC) fingerprinting analyses and mass spectrometry (MS) identification. We first established a specific and valid HPLC approach for fingerprint analysis of S. glabra based on HPLC-UV detection. Using several chemometric methods such as similarity evaluation and principal components analysis, we determined herb-markers peaks from many HPLC peaks. The structures of these herb-markers were further identified targetedly by electrospray ionisation tandem mass spectrometry (ESI-MS/MS)/time-of-flight mass spectrometry (TOF-MS) analyses. As results, four phenolics, including chlorogenic acid, caffeic acid, 4-O-glucopyranosyl rosmarinic acid and rosmarinic acid, were characterised as major herb-markers for the stems of S. glabra, while another three phenolics, including kaempferol-3-O-β-d-glucuronic acid, chlorogenic acid and rosmarinic acid, were characteristic components for the leaves. The compounds may be very useful for further phenolome analysis.

摘要

在这项研究中,我们成功地通过高效液相色谱(HPLC)指纹分析和质谱(MS)鉴定来描述肿节风(Thunb.)Nakai 的酚类特征。我们首先建立了一种基于 HPLC-UV 检测的肿节风指纹分析的特定而有效的 HPLC 方法。使用相似度评价和主成分分析等几种化学计量学方法,我们从许多 HPLC 峰中确定了草药标志物峰。通过电喷雾离子化串联质谱(ESI-MS/MS)/飞行时间质谱(TOF-MS)分析有针对性地鉴定了这些草药标志物的结构。结果表明,四种酚类化合物,包括绿原酸、咖啡酸、4-O-吡喃葡萄糖迷迭香酸和迷迭香酸,被鉴定为肿节风茎的主要草药标志物,而另外三种酚类化合物,包括山奈酚-3-O-β-D-葡萄糖醛酸、绿原酸和迷迭香酸,是叶子的特征成分。这些化合物可能对进一步的表型分析非常有用。

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