Jin Xu, Zhang Jianqing, Li Yun, Wu Wenyong, Zhang Hang, Yao Changliang, Wei Wenlong, Yao Shuai, Huang Yong, Qu Hua, Guo De-An
Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Haike Road 501, Shanghai, 201203, P. R. China.
University of Chinese Academy of Sciences, No.19A Yuquan Road, Beijing, 100049, P. R. China.
J Sep Sci. 2021 Apr;44(7):1440-1451. doi: 10.1002/jssc.202000655. Epub 2021 Feb 10.
A key segment in medicinal plant authentication is the establishment of quality markers that embody the intrinsic metabolites difference independent of instruments and experiment conditions. A strategy integrating nontargeted metabolomics and multicriteria decision-making model for robust quality markers discovery is presented and applied to authenticate Ophiopogon japonicus (L. f.) Ker-Gawl. First, an ultra-performance liquid chromatography/quadrupole time-of-flight MS approach was established for global metabolites profiling and identification. Second, multivariate statistical analysis was performed to explore potential quality markers of different origins of ophiopogonis radix. Third, potential quality markers were ordered and filtered by multicriteria decision-making model to infer robust quality markers and further validated in different instruments and experiment conditions by validation model. Fourth, the validation model using the robust quality markers managed to discriminate the origins of ophiopogonis radix samples procured from the herbal markets. Consequently, two robust quality markers, cixi-ophiopogon B and ophiopogonin D, were discovered and further validated on different instruments and experiment conditions. This integrated strategy provided a practical solution for reliable and convenient authentication of geo-authentic herb.
药用植物鉴定的一个关键环节是建立质量标志物,这些标志物体现了独立于仪器和实验条件的内在代谢物差异。本文提出了一种将非靶向代谢组学与多标准决策模型相结合的策略,用于发现可靠的质量标志物,并将其应用于麦冬的鉴定。首先,建立了超高效液相色谱/四极杆飞行时间质谱方法,用于全局代谢物谱分析和鉴定。其次,进行多变量统计分析,以探索不同来源麦冬的潜在质量标志物。第三,通过多标准决策模型对潜在质量标志物进行排序和筛选,以推断出可靠的质量标志物,并通过验证模型在不同仪器和实验条件下进一步验证。第四,使用可靠质量标志物的验证模型成功区分了从草药市场采购的麦冬样品的来源。因此,发现了两种可靠的质量标志物,慈溪麦冬B和麦冬皂苷D,并在不同仪器和实验条件下进一步验证。这种综合策略为地道药材的可靠便捷鉴定提供了切实可行的解决方案。