High-resolution magic angle spinning nuclear magnetic resonance (HR-MAS NMR) as a tool in the determination of biomarkers of Passiflora-based herbal medicines
High-resolution magic angle spinning nuclear magnetic resonance (HR-MAS NMR) as a tool in the determination of biomarkers of Passiflora-based herbal medicines
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DOI：
10.1016/j.fitote.2020.104500
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发表时间：
2020-04-01
期刊：
影响因子：
3.4
通讯作者：
Liao, Luciano M.
中科院分区：
文献类型：
--
作者：
Flores, Igor S.;Martinelli, Bruno C. B.;Liao, Luciano M.
高分辨率魔角旋转核磁共振波谱 (HR-MAS NMR) 用于在非常接近基质（本例中为草药）中存在化合物的条件下鉴定植物的代谢特征。这使得能够选择性地确定复杂基质中存在的活性成分和其他生物标志物，避免降解产物，而降解产物可能出现在几种分析方法所需的提取过程中。在本研究中，HR-MAS 分析应用于七种西番莲草药的质量控制，使用代谢指纹识别植物物种并识别生物标志物。牡荆素和异牡荆素被确定为其中三种草药中的主要化合物（0.17％至0.55％），而水杨苷是另外两种草药中的主要化合物。另一方面，在其余两种中没有观察到显着的类黄酮含量。此外，还可以在所有草药中检测到乙醇（一种非目标化合物），其浓度在 0.009% 至 0.342% 之间。这样，结合化学计量学 H-1 HR-MAS NMR 被证明适用于西番莲生物标志物的定性和定量研究，只需对样品进行最少的预处理。
High-resolution magic-angle spinning nuclear magnetic resonance spectroscopy (HR-MAS NMR) for the identification of the metabolic profile of plants under conditions very close to that in which the compounds are present in the matrix, the herbal medicines in this case. This enables selectivity in the determination of the active principle and other biomarkers present in the complex matrix, avoiding degradation products, which may occur in the extractive processes required in several analytical methods. In this study, HR-MAS analysis was applied in the quality control of seven Passiflora-based herbal medicines, using metabolic fingerprinting to confirm plant species and identify biomarkers. Vitexin and isovitexin were identified as major compounds in three of these herbal medicines (0.17 to 0.55%), while salicin was the majority in two others. On the other hand, no significant flavonoid contents were observed in the remaining two. In addition, it was possible to detect ethanol, a nontarget compound, in all herbal medicines in concentrations varying between 0.009 and 0.342%. In this way, combined with chemometrics H-1 HR-MAS NMR proved to be suitable for the qualitative and quantitative study of Passiflora biomarkers, using a minimal pre-treatment of the sample.