根据UPLC-Q-Exactive-MS和碎片化模式,快速识别和确定huai yam的化学成分
Huiru Liu1, Xia Li1, Haowei Xu2
1School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Natural product research
|April 8, 2024
概括
这项研究开发了一种快速的方法来识别Huai Yam (Dioscoreae Rhizoma) 组件,使用UPLC-Q-Exactive-MS. 该技术成功识别了60种化合物,推进了传统中医学的分析.
科学领域:
- 植物化学 植物化学
- 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.
背景情况:
- 华山 (Dioscoreae Rhizoma) 富含有生物活性化合物,如黄类,类和氨基酸.
- 准确识别这些成分对于了解其治疗潜力和质量控制至关重要.
研究的目的:
- 建立一个有效的方法来分类和快速识别Huai Yam的活性成分.
- 开发一种使用特征碎片 (CFs) 和中性损失 (NLs) 来识别组成部分的新策略.
主要方法:
- 使用超高性能液体染色学-四极-精确质谱法 (UPLC-Q-Exactive-MS).
- 根据文献中报道的质谱数据编制了亚姆化合物的数据库,包括CF和NL.
- 采用数据后处理技术进行比较分析和识别.
主要成果:
- 在Huai Yam成功识别了60种化合物.
- 已识别的化合物包括18种类黄素,2种素,10种氨基酸,7种有机酸,3种碳水化合物和8种脂肪酸.
- 建立了一个新的策略来识别基于CF和NL的目标成分.
结论:
- 开发的UPLC-Q-Exactive-MS方法提供了对Huai Yam成分的高效快速识别.
- 基于CF和NL的新策略提高了化合物识别的准确性和速度.
- 这项研究为进一步研究山奠定了基础,并推进了中国传统医学 (TCM) 的组成分析.
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