系统的有针对性的多组分表征和比较Arnebiae Radix及其三个混物种的线下二维液态染色学/LTQ-Orbitrap质谱学线下二维液态染色学
Fei Sha1, Jianqing Zhang2, Huanya Yang3
1School of Pharmacy, Hangzhou Normal University, Zhejiang, 311121, Hangzhou, China.
Analytical and bioanalytical chemistry
|December 7, 2023
概括
这项研究开发了一种新的方法来识别Arnebiae Radix (Zicao) 和类似物种中的化合物. 它确定了30个特征成分,可以帮助区分这些重要的药用植物.
科学领域:
- 植物化学 植物化学
- 分析化学 分析化学
- 传统中国医药 传统中国医药
背景情况:
- 阿尔内比亚树根 (Zicao) 容易被误认,影响临床应用.
- 精确识别草药对于质量控制和治疗疗效至关重要.
研究的目的:
- 开发一种全面的策略来表征和区分Arnebiae Radix与其令人困惑的物种.
- 为了识别潜在的化学标记物,用于对Arnebiae Radix.的质量控制.
主要方法:
- 使用线下二维液态色谱 (2D-LC) 结合水友交互色谱 (HILIC) 和逆相 (RP).
- 实施了多边形质量缺陷过 (MDF) 和多阶段质谱 (MSn) 用于离子选和数据采集.
- 开发了一个三步表征策略,使用诊断离子和中性损失来识别化合物.
主要成果:
- 在Arnebiae Radix和三个令人困惑的物种中总共描述了437个组件.
- 鉴定出了112种石康宁,22种石康,144种酸,131种糖化物和18种黄.
- 发现了30个可能区分这四种物种的特征成分.
结论:
- 这项研究首次对Arnebiae Radix及其令人困惑的物种进行了全面的植物化学分析和比较.
- 开发的战略使得这些药用草药的有效差异化和质量控制成为可能.
- 已识别的特征性化合物为准确识别和标准化提供了潜在的生物标志物.
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