Central Laboratory, Changchun Normal University, Changchun, China.
Phytochem Anal. 2021 May;32(3):382-394. doi: 10.1002/pca.2985. Epub 2020 Sep 6.
Medicago sativa contains flavonoids, saponins, coumarins, sterols, monoterpenes, and organic acids, with flavonoids being the main active constituents. Flavonoids naturally contain a 2-phenylchromone structure with antioxidant, free radical scavenging, cardiovascular, and trace estrogen-like effects.
Screening and isolation of neuraminidase, lipoxidase, and lactate dehydrogenase inhibitors from M. sativa via ultrafiltration-liquid chromatography-mass spectrometry (UF-LC-MS) combined with stepwise flow rate counter-current chromatography (CCC).
Utilising the medicinal plants M. sativa as the research objects and UF-LC-MS was used for activity screening followed by isolation and purification of the inhibitors by stepwise flow rate CCC. Finally, identification of the three active compounds was achieved by MS and nuclear magnetic resonance.
Three major compounds, viz. quercetin, genistein, and formononetin, were identified as potent neuraminidase, lipoxidase, and lactate dehydrogenase inhibitors, respectively. A two-phase solvent system of ethyl acetate/methanol/n-butanol/water (5.0:1.5:5.0:10; v/v/v/v) was subsequently selected for separation by stepwise flow rate CCC.
This novel approach based on UF-LC-MS and stepwise flow rate CCC represents a powerful tool for the screening and isolation of neuraminidase, lipoxidase, and lactate dehydrogenase inhibitors from complex matrices. Therefore, a useful platform for the large-scale production of bioactive and nutraceutical ingredients was developed herein.
紫花苜蓿含有类黄酮、皂苷、香豆素、甾醇、单萜和有机酸,其中类黄酮是主要的活性成分。类黄酮天然含有 2-苯基色酮结构,具有抗氧化、清除自由基、心血管和类雌激素样作用。
通过超滤-液相色谱-质谱联用(UF-LC-MS)结合分步流量逆流色谱(CCC)从紫花苜蓿中筛选和分离神经氨酸酶、脂氧合酶和乳酸脱氢酶抑制剂。
以药用植物紫花苜蓿为研究对象,采用 UF-LC-MS 进行活性筛选,然后通过分步流量 CCC 对抑制剂进行分离和纯化。最后,通过 MS 和核磁共振对三种活性化合物进行鉴定。
鉴定出三种主要化合物,即槲皮素、染料木黄酮和芒柄花素,分别为有效的神经氨酸酶、脂氧合酶和乳酸脱氢酶抑制剂。随后选择乙酸乙酯/甲醇/正丁醇/水(5.0:1.5:5.0:10;v/v/v/v)两相溶剂系统通过分步流量 CCC 进行分离。
这种基于 UF-LC-MS 和分步流量 CCC 的新方法为从复杂基质中筛选和分离神经氨酸酶、脂氧合酶和乳酸脱氢酶抑制剂提供了一种强大的工具。因此,本文开发了一个用于大规模生产生物活性和营养成分的有用平台。