用UHPLC-Q-TOF/MSE结合多种数据处理技术来识别和表征复合舒冈粉中的化学化合物
Rui Yang1, Xiaojie Fu1, Lanying Li1
1College of Pharmacy, Anhui University of Chinese Medicine, Hefei, China.
Journal of separation science
|December 31, 2024
概括
这项研究确定了116种化学化合物化合物Shougong粉 (CSP),一种用于瘤的传统中医药. 这些发现揭示了潜在的活性成分,并为分析传统中医化学成分提供了新的策略.
科学领域:
- 植物化学 植物化学
- 分析化学 分析化学
- 传统中国医学 (TCM) 是一种
背景情况:
- 化合物Shougong粉末 (CSP) 是用于恶性瘤的TCM制剂,但其化学成分尚不清楚.
- 对于负责CSP治疗效果的特定化学化合物的研究有限.
研究的目的:
- 综合性描述复合舒冈粉末 (CSP) 的化学成分.
- 在CSP中识别瘤治疗的潜在活性成分.
- 建立一个有效的战略,用于TCMs的化学分析.
主要方法:
- 超高性能液态色谱四极飞行时间质谱 (UHPLC-Q-TOF/MS^E) 用于化学分析.
- 使用多种数据处理技术,包括质量缺陷过 (MDF),提取离子染色图 (EIC),中性损失过 (NLF) 和诊断断片离子过 (DFIF).
- 使用R语言和MZmine软件进行数据预处理和分析.
主要成果:
- 在CSP中,共发现了116种化学化合物.
- 已识别的化合物包括黄类 (34),胺类 (38),胺类 (7),氨酸类 (6),有机酸类 (12),胺类 (13).
- 该研究成功阐明了CSP.的复杂化学特征.
结论:
- 这项研究提供了CSP的详细化学特征,突出了其多样化的化合物特征.
- 已识别的化合物为CSP的治疗应用提供了潜在活性成分的见解.
- 开发的分析策略是未来对传统中医药的化学研究的宝贵指南.
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