首页> 外文期刊>Journal of Pharmaceutical and Biomedical Analysis: An International Journal on All Drug-Related Topics in Pharmaceutical, Biomedical and Clinical Analysis >A H-1 NMR-based metabolomics approach to evaluate the geographical authenticity of herbal medicine and its application in building a model effectively assessing the mixing proportion of intentional admixtures: A case study of Panax ginseng Metabolomics for the authenticity of herbal medicine
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A H-1 NMR-based metabolomics approach to evaluate the geographical authenticity of herbal medicine and its application in building a model effectively assessing the mixing proportion of intentional admixtures: A case study of Panax ginseng Metabolomics for the authenticity of herbal medicine

机译:基于H-1 NMR的代谢组学方法评估草药的地理真实性及其在建立有效评估故意掺和物混合比例的模型中的应用:以人参代谢组学为基础的草药真实性研究

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摘要

Ginseng, the root of Panax ginseng has long been the subject of adulteration, especially regarding its origins. Here, 60 ginseng samples from Korea and China initially displayed similar genetic makeup when investigated by DNA-based technique with 23 chloroplast intergenic space regions. Hence, H-1 NMR-based metabolomics with orthogonal projections on the latent structure-discrimination analysis (OPLS-DA) were applied and successfully distinguished between samples from two countries using seven primary metabolites as discrimination markers. Furthermore, to recreate adulteration in reality, 21 mixed samples of numerous Korea/China ratios were tested with the newly built OPLS-DA model. The results showed satisfactory separation according to the proportion of mixing. Finally, a procedure for assessing mixing proportion of intentionally blended samples that achieved good predictability (adjusted R-2 = 0.8343) was constructed, thus verifying its promising application to quality control of herbal foods by pointing out the possible mixing ratio of falsified samples. (C) 2016 Elsevier B.V. All rights reserved.
机译:人参是人参的根源,长期以来一直是掺假的对象,特别是在起源方面。在这里,通过基于DNA的技术对23个叶绿体基因间隔区域进行调查,来自韩国和中国的60个人参样品最初显示出相似的遗传组成。因此,应用了基于H-1 NMR的代谢物组学,并在潜在结构鉴别分析(OPLS-DA)上进行了正交预测,并成功地使用了7种主要代谢物作为鉴别标记,对来自两个国家的样品进行了区分。此外,为了在现实中重制掺假,使用新建的OPLS-DA模型测试了21个韩国/中国比率不同的混合样本。结果表明,根据混合比例,分离效果令人满意。最后,建立了一种评估有意混合的样品的混合比例的程序,该混合比例达到了良好的可预测性(调整后的R-2 = 0.8343),从而通过指出可能的伪造样品的混合比例来验证其在草药食品质量控制中的应用前景。 (C)2016 Elsevier B.V.保留所有权利。

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