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用TLC和HPLC指纹与化学图案识别相结合的Vahl颗粒的质量评估

Yangling Li¹, Xian Luo¹, Lixiao Wei¹

¹College of Pharmacy, Guangxi University of Chinese Medicine, Nanning 530200, P. R. China. linqinghua519@163.com.

Analytical methods : advancing methods and applications

|August 2, 2024

概括

这项研究开发了一种使用TLC,HPLC指纹和化学模式识别的Ficus hirta Vahl颗粒 (FHGs) 综合质量评估方法. 索拉伦和柏加被确定为FHG质量控制的关键标志物.

科学领域:

药物鉴定和植物化学学
分析化学分析化学
草药药物的质量控制草药药物的质量控制

背景情况:

花 hirta Vahl (FHV) 具有重要的药用和价值,包括抗炎和抗衰老特性.
缺乏标准化的方法阻碍了Ficus hirta Vahl颗粒 (FHGs) 的质量评估.
建立一个强大的质量控制战略对于确保FHG的有效性和安全性至关重要.

研究的目的:

开发和验证FHG的综合质量评估方法.
建立HPLC指纹并识别FHG中的关键化学标记物.
应用化学模式识别技术来评估批量之间的变化.

主要方法:

优化了薄层染色学 (TLC),以分离和识别15个FHG批次中的组件.
使用高性能液体染色学 (HPLC) 来生成特征指纹,识别psoralen和bergapten.
使用了化学模式识别方法,包括等级集群分析 (HCA),主要组件分析 (PCA) 和正交部分最小平方歧视 (OPLS-DA).

主要成果:

为FHG分析确定了一个最佳的TLC开发剂.
建立了一个HPLC指纹,有7个共同的峰值,其中峰值6和7被确定为psoralen和bergapten.
HCA将FHG批量分为两组,PCA确定了关键的区分成分,OPLS-DA强调了psoralen和bergapten作为关键的质量标记.

结论:

TLC,HPLC指纹和化学模式识别的综合方法为FHG质量控制提供了科学基础.
索拉伦和柏加被确定为标志性化合物,表明FHG质量和区域差异.
这种方法使Ficus hirta Vahl颗粒的全面质量评估和控制成为可能.

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