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UHPLC-TOFMS 结合化学计量学方法作为一种快速探索两种酸枣属植物差异成分的有力技术。

UHPLC-TOFMS coupled with chemometric method as a powerful technique for rapid exploring of differentiating components between two Ziziphus species.

机构信息

Jiangsu Key Laboratory for TCM Formulae Research, Nanjing University of Chinese Medicine, Nanjing, P. R. China.

出版信息

J Sep Sci. 2011 Mar;34(6):659-66. doi: 10.1002/jssc.201000788. Epub 2011 Jan 31.

Abstract

To rapidly explore the differentiating components and the potential chemical markers for discrimination between those Chinese medicinal herbs with similar chemical characteristics, an ultra-high-performance liquid chromatography (UHPLC)-TOFMS coupled with multivariate statistical analysis method was proposed and validated by using two Ziziphus species (Z. jujuba and Z. jujuba var. spinosa) as the model herbs. After the samples were analyzed using UHPLC-TOFMS, the data sets of retention time (RT)-m/z pairs, ion intensities and sample codes were further processed with orthogonal partial least squared discriminant analysis (OPLS-DA) to holistically compare the difference between the fruits of these two Ziziphus species, and to generate an S-plot. Those compounds correlating to the points at the two ends of "S" were regarded as the most differentiating components between these two kinds of samples. By comparing the mass/UV spectra and retention times with those of reference compounds, these components were finally characterized as zizyberenalic acid, palmitoleic acid, oleic acid, pomonic acid and rutin, and these compounds would be the potential chemical markers for discrimination of these jujube products. The results suggested that this newly established approach could be used to rapidly determine the subtle differences and explore the potential chemical markers for differentiation within the herbs with similar chemical ingredients.

摘要

为了快速探索具有相似化学成分的中药材之间的区别成分和潜在的化学标志物,提出了一种超高效液相色谱(UHPLC)-TOFMS 与多变量统计分析方法,并以两种枣属植物(枣和酸枣)为模型草药进行了验证。在使用 UHPLC-TOFMS 分析样品后,进一步对保留时间(RT)-m/z 对、离子强度和样品代码数据集进行正交偏最小二乘判别分析(OPLS-DA)处理,以全面比较这两种枣属植物果实之间的差异,并生成 S 图。与“S”两端的点相关的化合物被视为这两种样品之间最具区别的成分。通过比较质谱/紫外光谱和保留时间与对照化合物的质谱/紫外光谱和保留时间,这些成分最终被鉴定为枳椇酸、棕榈油酸、油酸、枸橼酸和芦丁,这些化合物将是区分这些枣类产品的潜在化学标志物。结果表明,该新建立的方法可用于快速确定具有相似化学成分的草药之间的细微差异,并探索潜在的化学标志物。

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