在天然产品中的NMR和LC-HRMS分析的互补性评估:在叶上的应用
Christodoulos Anagnostou1, Stavros Beteinakis1, Theodora Nikou1
1Division of Pharmacognosy and Natural Products Chemistry, Department of Pharmacy, National and Kapodistrian University of Athens, Panepistimiopolis, Zografou, 157 71, Athens, Greece.
Metabolomics : Official journal of the Metabolomic Society
|December 1, 2025
概括
核磁共振 (NMR) 和超高性能液体染色学-高分辨率质谱学 (UPLC-HRMS) 提供了对自然产品分析的补充性见解. 它们在分析Pistacia lentiscus叶子时的联合使用揭示了有价值的植物化学数据和生物标志物.
科学领域:
- 自然产品化学 自然产品化学
- 分析化学 分析化学
- 植物代谢学 植物代谢学
背景情况:
- 代谢学对天然产品研究至关重要,有助于识别生物活性化合物.
- 皮斯塔 (Pistacia lentiscus L. var.) 是一种的植物. 叶是一种农业副产品,具有多样化的药理特性,但缺乏全面的植物化学数据.
- 关于核磁共振 (NMR) 或液体染色学-质谱法 (LC-MS) 是优越的分析平台,存在争论.
研究的目的:
- 评估NMR和LC-MS在天然产品分析中的互补性质.
- 首次使用NMR和UPLC-HRMS对Pistacia lentiscus叶的植物化学成分进行分析.
主要方法:
- 使用NMR和UPLC-HRMS开发了两种非向的代谢学方法.
- 应用多变量分析 (MVA),统计总相关谱学 (STOCSY) 和统计异态谱学 (SHY) 来解释数据.
主要成果:
- 通过对NMR和UPLC-HRMS进行比较,证明了采用这两种技术的协同优势.
- 根据研究的参数,确定与叶的分类相关的特定生物标志物.
- STOCSY和SHY是生物标志物分配和结果解释的有效工具.
结论:
- 联合使用NMR和UPLC-HRMS为天然产品分析提供了全面的方法.
- 这项研究突出了分析平台之间的协同作用,用于详细的代谢物概况.
- 鉴定到的生物标志物有助于了解Pistacia lentiscus叶的植物化学特征.
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