Ehab Mahran , Michael Keusgen , Gertrud E. Morlock
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引用次数: 12
摘要
抑制肠道细菌释放的β-葡萄糖醛酸酶与特定的健康相关益处有关。虽然目前使用了许多β-葡萄糖醛酸酶抑制试验,但没有一种方法可以直接测量复杂混合物中每个单一成分的相关活性,而无需事先分离纯化合物和繁琐的分离。因此,高效薄层色谱(HPTLC)技术与β-葡萄糖醛酸酶抑制试验的联用首次得到了成功的验证。以5-溴-4-氯-3-吲哚基-β- d -葡萄糖醛酸盐为底物,实现了抑制剂的比色和荧光检测。因此,β-葡萄糖醛酸酶抑制剂在靛蓝色或荧光背景下被检测为亮区。采用d-糖酸一水1,4-内酯抑制剂对所建立的方法进行了优化和验证。作为概念的证明,通过分析从水飞蓟果实中提取的报春花和水飞蓟黄酮木脂素两种植物提取物来验证新工作流程的适用性。用光谱法对发现的抑制剂进行了鉴定;其中3′- o -(β-半乳糖酰基)黄酮是一种新分离的天然化合物。新的htlc - uv /Vis/FLD-β-葡萄糖醛酸酶抑制试验- hrms涵盖了四个正交维度,即分离,光谱检测,生化活性和结构表征,在高度有针对性的时间和材料节省的工作流程中,用于分析复杂或昂贵的混合物。
New planar assay for streamlined detection and quantification of β-glucuronidase inhibitors applied to botanical extracts
The inhibition of the β-glucuronidase released from gut bacteria is associated with specific health-related benefits. Though a number of β-glucuronidase inhibition assays are currently in use, none of them can directly measure the relevant activity of each single constituent in a complex mixture, without prior separation and tedious isolation of the pure compounds. Thus, the hyphenation of the high performance thin layer chromatography (HPTLC) technique with a β-glucuronidase inhibition assay was investigated and successfully demonstrated for the first time. A colorimetric as well as fluorometric detection of the inhibitors was achieved using 5-bromo-4-chloro-3-indolyl-β-D-glucuronide as a substrate. Hence, β-glucuronidase inhibitors were detected as bright zones against an indigo blue or fluorescent background. The established method was optimized and validated employing the well-known inhibitor d-saccharic acid 1,4-lactone monohydrate. As proof of concept, the suitability of the new workflow was verified through analysis of two botanical extracts, Primula boveana and silymarin flavonolignans from Silybum marianum fruits. The found inhibitors were identified by spectroscopic methods; one of them, 3ʹ-O-(β-galactopyranosyl)-flavone, is here described as a newly isolated natural compound. The new hyphenation HPTLC-UV/Vis/FLD-β-glucuronidase inhibition assay-HRMS covers four orthogonal dimensions, i.e. separation, spectral detection, biochemical activity and structural characterization, in a highly targeted time- and material-saving workflow for analysis of complex or costly mixtures.