Department of Bioorganic Chemistry, Leibniz Institute of Plant Biochemistry, Halle (Saale), Germany.
Phytochemistry. 2012 Apr;76:60-72. doi: 10.1016/j.phytochem.2011.12.010. Epub 2012 Feb 13.
Glycyrrhiza glabra, commonly known as licorice, is a popular herbal supplement used for the treatment of chronic inflammatory conditions and possesses anticancer and antiviral activities. This species contains a plethora of phytochemicals including terpenoids, saponins, flavonoids, polyamines and polysaccharides. The full complement of bioactive compounds has yet to be elucidated, a step necessary in order to explain its medicinal use. There are over 30 species in the Glycyrrhiza genus world-wide, most of which have been little characterized in terms of phytochemical or pharmacological properties. Here, large scale multi-targeted metabolic profiling and fingerprinting techniques were utilized to help gain a broader insight into Glycyrrhiza species chemical composition. UV, MS and NMR spectra of extracted components were connected with NMR, MS, and multivariate analyses data from Glycyrrhiza glabra, Glycyrrhiza uralensis, Glycyrrhiza inflata and Glycyrrhiza echinata. Major peaks in (1)H NMR and MS spectra contributing to the discrimination among species were assigned as those of glycyrrhizin, 4-hydroxyphenyl acetic acid, and glycosidic conjugates of liquiritigenin/isoliquiritigenin. Primary metabolites profiling using GC-MS revealed the presence of cadaverine, an amino acid, exclusively found in G. inflata roots. Both LC-MS and NMR were found effective techniques in sample classification based on genetic and or geographical origin as revealed from derived PCA analysis.
光果甘草,俗称甘草,是一种常用于治疗慢性炎症的流行草药补充剂,具有抗癌和抗病毒活性。该物种含有大量的植物化学物质,包括萜类化合物、皂苷、类黄酮、多胺和多糖。要解释其药用价值,还需要阐明其全部生物活性化合物。全世界有超过 30 种甘草属植物,其中大多数在植物化学或药理学特性方面的特征都很少。在这里,利用大规模多靶向代谢物分析和指纹图谱技术,帮助更深入地了解甘草属植物的化学成分。提取成分的 UV、MS 和 NMR 图谱与来自甘草、乌拉尔甘草、胀果甘草和光果甘草的 NMR、MS 和多元分析数据相关联。(1)H NMR 和 MS 图谱中对物种区分有贡献的主要峰被分配为甘草酸、4-羟基苯乙酸和甘草素/异甘草素的糖苷轭合物。使用 GC-MS 进行的初级代谢物分析显示,存在精胺,这是一种氨基酸,仅存在于胀果甘草的根中。基于 PCA 分析显示,LC-MS 和 NMR 都被发现是基于遗传和/或地理起源进行样品分类的有效技术。