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首页> 外文期刊>Journal of chromatography, A: Including electrophoresis and other separation methods >Comprehensive chemical profiling of Yindan Xinnaotong soft capsule and its neuroprotective activity evaluation in vitro
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Comprehensive chemical profiling of Yindan Xinnaotong soft capsule and its neuroprotective activity evaluation in vitro

机译:中南Xinnaotong软胶囊的综合化学分析及其在体外神经保护活性评价

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摘要

Discovering effective combinational components (ECCs) and quality control markers of TCMs is still facing challenges because the holistic healing system comprises hundreds of compounds. Here, taking Yindan Xinnaotong soft capsule (YDXNT), a TCMs preparation composed by 8 herbs, as a case, a strategy that integrated multiple chromatographic analysis and bioactivity assay was proposed for potential ECCs of neuroprotection discovery. Firstly, ultra-high performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UHPLC-QTOF MS) and gas chromatography-mass spectrometry (GC-MS) were applied for comprehensive profiling of the chemical constituents in YDXNT. Given the fact that the complex matrix interference makes it more difficult to identify potentially active compounds, we proposed a structure-diagnostic ions-oriented strategy to remove interference ions from the raw UHPLC-MS data. The proposed strategy consisted of different filtering methods, including diagnostic fragment ions filtering (DFIF), mass defect filtering (MDF) and neutral loss (NL). Using this strategy, a total of 124 compounds were rapidly identified. Among them, 62 non-volatile and 5 volatile constituents in 30 batches of YDXNT were quantified by UHPLC tandem triple quadrupole mass spectrometry (QQQMS) and GC-MS methods, respectively. In order to facilitate the quality control of YDXNT, candidate ECCs were selected based on the threshold setting of absolute -contents, and their neuroprotective effects were examined. Finally, a combination of 16 compounds, accounts for 2.80% (wow) of original YDXNT, was identified as its potential ECCs, which could be considered for the improvement of quality standardization of YDXNT. (C) 2019 Published by Elsevier B.V.
机译:发现有效的组合组件(ECC)和TCMS的质量控制标记仍面临挑战,因为整体愈合系统包含数百种化合物。在这里,采用尤南Xinnaotong软胶囊(YDXNT),由8个草药组成的TCMS制剂,作为案例,提出了一种综合多种色谱分析和生物活性测定的策略,用于神经保护作用的潜在ECC。首先,将超高效液相色谱与四极杆飞行时间串联质谱(UHPLC-QTOF MS)和气相色谱 - 质谱(GC-MS)相结合,以综合逐步剖析YDXNT中的化学成分。鉴于复杂的基质干扰使得识别潜在的活性化合物更难以识别潜在的化合物,我们提出了一种面向结构诊断的策略,以从原始UHPLC-MS数据中去除干扰离子。所提出的策略包括不同的过滤方法,包括诊断片段离子滤波(DFIF),质量缺陷滤波(MDF)和中性损失(NL)。使用该策略,总共迅速鉴定了124种化合物。其中,通过UHPLC串联三重四极杆质谱(QQQMS)和GC-MS方法分别定量了30批YDXNT中的62个非挥发性和5种挥发性成分。为了促进YDXNT的质量控制,基于绝对 - 肠的阈值设置选择候选ECC,并检查它们的神经保护作用。最后,16种化合物的组合,占原始YDXNT的2.80%(WOW),被确定为其潜在的ECC,可以考虑改善YDXNT的质量标准化。 (c)2019年由elestvier b.v发布。

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