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目的:对传统的指纹图谱进行改进,以区分醋芫花和生芫花。方法:收集了10个批次的芫花,经过规范炮制成醋芫花,将这些样品在最优的液相条件下进行分析,基于这些色谱数据,形成了包括11个共有峰的醋芫花指纹图谱共有模式,并且指认了其中5个成分分别是芫花素、羟基芫花素、木犀草素、芹菜素、芫花酯甲。通过在样品中定量加入外源性成分黄芩素作为内标,以黄芩素峰为参比峰,利用本研究开发的改良距离系数法计算待测样品与共有模式的相似度,结果:醋芫花相似度均高于0.9,生芫花均低于0.9。结论:基于改良距离系数法开发的醋芫花指纹图谱可有效的区分醋芫花和生芫花,从而保证了临床用药的安全,扩展了指纹图谱的应用领域。
OBJECTIVE: To improve the traditional fingerprinting to differentiate vinegar flower and flower of Daphne genkwa. METHODS: Ten batches of Daphne genkwa were collected and processed into vinegar, Daphne genkwa, and analyzed in the optimum liquid phase conditions. Based on these chromatographic data, a cluster of 11 Daphne genkwa flowers Fingerprint common mode, and identified five of which are components of genkwanin, hydroxy genkwanin, luteolin, apigenin, yuanhuacine. Through the quantitative addition of baicalein as the internal standard in the sample and the baicalein peak as the reference peak, the improved distance coefficient method developed in this study was used to calculate the similarity between the sample and the consensus model. Results: Similarities were higher than 0.9, students were lower than 0.9. Conclusion: The fingerprinting based on the modified distance coefficient method can distinguish between Daphne genkwa and Daphne genkwa effectively, thus ensuring the safety of clinical medication and expanding the application fields of fingerprint.