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采用 UPLC-qTOF-MS 和化学计量学对市售贯叶金丝桃(贯叶连翘)制剂进行代谢组分类。

Metabolome classification of commercial Hypericum perforatum (St. John's Wort) preparations via UPLC-qTOF-MS and chemometrics.

机构信息

Department of Bioorganic Chemistry, Leibniz Institute of Plant Biochemistry, Halle-Saale, Germany.

出版信息

Planta Med. 2012 Mar;78(5):488-96. doi: 10.1055/s-0031-1298170. Epub 2012 Jan 23.

DOI:10.1055/s-0031-1298170
PMID:22271082
Abstract

The growing interest in the efficacy of phytomedicines and herbal supplements but also the increase in legal requirements for safety and reliable contents of active principles drive the development of analytical methods for the quality control of complex, multicomponent mixtures as found in plant extracts of value for the pharmaceutical industry. Here, we describe an ultra-performance liquid chromatography method (UPLC) coupled with quadrupole time of flight mass spectrometry (qTOF-MS) measurements for the large scale analysis of H. perforatum plant material and its commercial preparations. Under optimized conditions, we were able to simultaneously quantify and identify 21 metabolites including 4 hyperforins, 3 catechins, 3 naphthodianthrones, 5 flavonoids, 3 fatty acids, and a phenolic acid. Principal component analysis (PCA) was used to ensure good analytical rigorousness and define both similarities and differences among Hypericum samples. A selection of batches from 9 commercially available H. perforatum products available on the German and Egyptian markets showed variable quality, particularly in hyperforins and fatty acid content. PCA analysis was able to discriminate between various preparations according to their global composition, including differentiation between various batches from the same supplier. To the best of our knowledge, this study provides the first approach utilizing UPLC-MS-based metabolic fingerprinting to reveal secondary metabolite compositional differences in Hypericum extract.

摘要

人们对植物药和草药补充剂的疗效越来越感兴趣,同时对活性成分的安全性和可靠性的法律要求也在增加,这推动了分析方法的发展,以用于控制制药工业有价值的植物提取物中的复杂多组分混合物的质量。在这里,我们描述了一种超高效液相色谱法(UPLC)与四极杆飞行时间质谱(qTOF-MS)测量相结合的方法,用于大规模分析贯叶连翘植物材料及其商业制剂。在优化的条件下,我们能够同时定量和鉴定 21 种代谢物,包括 4 种金丝桃素、3 种儿茶素、3 种萘并二蒽酮、5 种类黄酮、3 种脂肪酸和 1 种酚酸。主成分分析(PCA)用于确保良好的分析严格性,并定义贯叶连翘样品之间的相似性和差异性。对来自德国和埃及市场上的 9 种市售贯叶连翘产品的多个批次进行选择,结果表明质量存在差异,尤其是在金丝桃素和脂肪酸含量方面。PCA 分析能够根据其整体组成区分各种制剂,包括区分同一供应商的不同批次。据我们所知,这项研究首次利用基于 UPLC-MS 的代谢指纹图谱方法揭示了贯叶连翘提取物中次生代谢产物组成的差异。

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