高性能薄层染色学与单个四极相结合:应用雷曼尼亚雷迪克斯及其不同加工产品的识别和差异化,从原材料到商业产品
Xu Jin1, Jianqing Zhang1, Xuanjing Shen1
1Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Haike Road 501, Shanghai 201203, China.
Journal of agricultural and food chemistry
|April 17, 2024
概括
一种新的HPTLC-QDa MS技术可以准确地识别补充剂中的Rehmanniae Radix. 这种方法可以区分原料和加工形式,确保复杂的草药产品的成分真实性.
科学领域:
- 分析化学 分析化学
- 药理学是指药理学,即药理学是指药理学.
- 食品科学 食品科学 食品科学
背景情况:
- 食品补充剂中的成分认证是具有挑战性的,因为成分相似,但有效性不同.
- 常见的草药成分雷曼尼亚雷迪克斯 (Rehmanniae Radix) 存在检测困难.
- 为了有效性,区分原始和加工的Rehmannia Radix是至关重要的.
研究的目的:
- 开发和验证一种新的高性能薄层染色学-四极点达尔顿质谱法 (HPTLC-QDa MS) 技术.
- 建立一种识别和量化 Rehmanniae Radix 和其衍生物在商业产品中的方法.
- 使用特定的化学标记来区分原始和加工的雷曼尼亚树根.
主要方法:
- 系统优化HPTLC和QDaMS条件,用于同时检测寡糖和糖.
- 对五种标记化合物的选,以区分原始和加工的雷曼尼亚雷迪克斯.
- 为配方分析开发和验证HPTLC-QDa-SIM (选离子监测) 方法.
主要成果:
- 建立了一个稳定且可重复的HPTLC-QDa MS方法.
- 确定了五个关键标记,以区分原始和加工的雷曼尼亚雷迪克斯.
- 该HPTLC-QDa-SIM方法使用自制处方和负对照进行了验证.
- 该方法已成功应用于分析12种商业功能产品和补充剂.
结论:
- 开发的HPTLC-QDa MS技术有效地识别复杂配方中的草本成分,特别是Rehmannia Radix.
- 这种方法可以确保食品补充剂中Rehmannia Radix的质量和真实性.
- 该研究为草药产品的质量控制提供了可靠的分析工具.
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