通过使用化作为衍生反应剂的HPTLC分析来研究黄类
Sharmin Sultana1,2, Md Lokman Hossain1,2, Tom Sostaric1
1Division of Pharmacy, School of Allied Health, University of Western Australia, Perth 6009, Australia.
Molecules (Basel, Switzerland)
|November 9, 2024
概括
这项研究引入了高性能薄层染色学 (HPTLC) 与光谱光度检测用于分析黄化合物. 优化的衍生试剂,AlCl3或NaNO2-AlCl3-NaOH,增强了自然产品中各种类黄的可视化和表征.
科学领域:
- 分析化学 分析化学
- 自然产品化学 自然产品化学
- 频谱学是一种光谱学.
背景情况:
- 传统的UV-Vis分析提供了总黄含量 (TFC),但缺乏特异性.
- 高性能薄层染色学 (HPTLC) 为复杂的混合物提供了强大的分离技术.
- 黄胺分析对于了解天然产品的生物活性至关重要.
研究的目的:
- 开发和验证HPTLC生成的光谱光度数据,用于系统的黄类蛋白质分析.
- 为了优化衍生试剂 (AlCl3和NaNO2-AlCl3-NaOH) 以增强类可视化.
- 展示开发方法在分析实体样本中的应用,如补充剂和蜂蜜.
主要方法:
- 使用HPTLC与光谱测量检测对40种不同类型的黄酸进行分析.
- 使用AlCl3和NaNO2-AlCl3-NaOH可视化试剂优化衍生.
- 通过导化诱导的光谱变化 (巴托克罗姆和超色) 的比较.
- 包括非黄类化合物作为负对照以确保特异性.
- 该方法应用于黄类补充剂和红三叶草蜂蜜.
主要成果:
- 带有AlCl3衍生物的HPTLC指纹显示了特征性的巴托克罗姆变化 (λmax 370-420nm).
- NaNO2-AlCl3-NaOH衍生诱导了超色变化,增加了特定黄类替代物的吸收性.
- 该方法成功地将黄素与结构相似的非黄素区分开来.
- 优化的HPTLC方法被有效地应用于分析复杂的自然产品矩阵.
结论:
- 结合光谱光度检测和优化的衍生法,HPTLC提供了一个强大的法,用于类蛋白质的分析.
- 这种技术通过可视化单个黄化合物来补充传统的TFC测试.
- 开发的方法适用于分析各种天然产品和补充剂中的黄类.
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