使用HPLC-MS/MS和分子网络
Rabin Budhathoki1, Arjun Prasad Timilsina1, Bishnu P Regmi2
1Biological Chemistry Lab, Central Department of Chemistry, Tribhuvan University, Kirtipur 44618, Nepal.
Metabolites
|August 25, 2023
概括
用先进的质谱和分子网络分析了黄 (Curcuma longa) 根茎提取物. 这项研究确定了30种代谢物,包括5种新型二甲基类药物,增强了我们对这种药用植物的理解.
科学领域:
- 植物化学 植物化学
- 自然产品化学 自然产品化学
- 代谢学 代谢学 代谢学
背景情况:
- 黄 (Curcuma longa) 是一种广泛使用的药用植物,来自辛吉贝拉家族,以其多样化的治疗特性而闻名.
- 它的根茎传统上被视为香料,染料和食补充剂,在治疗糖尿病,炎症和衰老方面具有应用.
- 了解黄的化学成分对于验证其药用和发现新的生物活性化合物至关重要.
研究的目的:
- 为了全面分析Curcuma longa根茎提取物的新陈代谢.
- 用先进的分析技术识别已知和潜在的新代谢物.
- 在这种物种中首次应用全球自然产品社会分子网络 (GNPS) 方法.
主要方法:
- 准备了C. longa根茎的有机提取物.
- 高性能液态染色学 (HPLC) 用于分离.
- 电子喷射电离质谱法 (ESI-MS) 和低能双重质谱法用于分析.
- 全球天然产品社会分子网络 (GNPS) 用于数据分析.
主要成果:
- 总共有30种代谢物被识别和表征.
- 其中包括16种二甲基类化合物,1种二甲基类化合物,3种比萨博洛乙烯,4种甲基类化合物,4种酸衍生物和2种脂肪酸衍生物.
- 值得注意的是,首次在C. longa中报告了5种二甲基类药物.
结论:
- 这项研究成功地阐明了黄根茎代谢组的很大一部分.
- 新型化合物的鉴定有助于Curcuma longa.的植物化学知识.
- 这项研究为进一步调查黄衍生代谢物的生物活性和药理潜力提供了基础.
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