A precise HPLC-DAD-based quantification together with the metabolomics statistical method was developed to distinguish and control the quality of Fallopia multiflora, a popular medicinal material in Vietnam. Multivariate statistical methods such as hierarchical clustering analysis and principal component analysis were utilized to compare and discriminate six natural and twelve commercial samples. 2,3,4′,5-Tetrahydroxystilbene 2-O-β-D-glucopyranoside (THSG) (1), emodin (4), and the new compound 6-hydroxymusizin 8-O-α-D-apiofuranosyl-(1⟶6)-β-D-glucopyranoside (5) could be considered as important markers for classification of F. multiflora. Furthermore, seven phenolics were quantified that the variation in the contents of selected metabolites revealed the differences in the quality of natural and commercial samples. Recovery of the compounds from the analytes was more than 98%, while the limits of detection (LOD) and the limits of quantitation (LOQ) ranged from 0.5 to 6.6 μg/ml and 1.5 to 19.8 μg/ml, respectively. The linearity, LOD, LOQ, precision, and accuracy satisfied the criteria FDA guidance on bioanalytical methods. Overall, this method is a promising tool for discrimination and quality assurance of F. multiflora products.

中文翻译：

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越南天然和商业性多视症产品的识别和质量控制的代谢组学方法

开发了一种基于HPLC-DAD的精确定量方法以及代谢组学统计方法，以区分和控制越南流行的药用材料多花参的质量。利用多元统计方法（例如层次聚类分析和主成分分析）来比较和区分六个自然样本和十二个商业样本。2,3,4'，5-四羟基苯乙烯-2- O - β -D-吡喃葡萄糖苷（THSG）（1），大黄素（4）和新化合物6-羟基musizin 8- O - α -D-apiofuranosyl-（1 ⟶6） - β -D-吡喃葡萄糖苷（5）可以被认为是多菌种分类的重要标志。此外，对七种酚类化合物进行了定量分析，结果表明所选代谢物含量的变化揭示了天然和商业样品质量的差异。从分析物的化合物的回收率大于98％，而检测（LOD）的（LOQ）的限制和定量限范围为0.5至6.6  μ微克/毫升和1.5〜19.8  μ分别微克/毫升。线性，LOD，LOQ，精度和准确度满足了FDA关于生物分析方法的指导标准。总的来说，该方法是鉴别何首乌产品和质量保证的有前途的工具。