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两种多维染色学/高分辨率质谱方法使三种糖菌物种同时进行深入的代谢物表征:方法开发,比较和整合

Meiyu Liu^1,2, Yuying Zhao^1,2, Xiaohang Li^1,2

¹Haihe Laboratory of Modern Chinese Medicine, 10 Poyanghu Road, Tianjin 301617, China.

Journal of agricultural and food chemistry

|January 6, 2024

概括

通过两种染色学方法,在三个Glycyrrhiza物种中表征了代谢物. 方法2,使用线下二维液态色谱 (2D-LC),为各种代谢物子类提供了优越的化合物识别和互补性.

科学领域:

分析化学分析化学
代谢学代谢学代谢学
自然产品化学自然产品化学

背景情况:

草甘的物种是生物活性化合物的丰富来源,包括三类和黄类.
综合性代谢物分析对于了解甘的化学多样性和潜在应用至关重要.
现有的分析方法可能无法完全捕捉甘菌代谢物的复杂性.

研究的目的:

建立和比较两个离线多维色谱系统,用于同时对Glycyrrhiza物种的代谢物进行表征.
评估在线与离线二维液态色谱 (2D-LC) 与高分辨率质谱相结合的性能和互补性.
鉴定和量化三种Glycyrrhiza物种中广泛的代谢物,包括三类和黄类.

主要方法:

开发两个线下多维色谱系统:方法1 (分离和线上2D-LC) 和方法2 (分离和线下2D-LC).
利用离子交换色谱来进行酸性和弱酸性成分的第一维分离.
使用逆相色谱 × 逆相色谱 (RPC × RPC) 和水友相互作用色谱 × RPC (HILIC × RPC) 进行二维和三维分离.
高分辨率质谱法用于基于内部图书馆和参考标准的化合物识别.

主要成果:

这两种方法都成功地分离了代谢物,方法2与方法1 (0.73) 相比,实现了更高的正交度 (0.81).
总共有1097种化合物在三个Glycyrrhiza物种中进行了表征.
方法1确定了618种化合物,而方法2确定了668种化合物,证明了其增强的能力.
这两种方法在识别多个代谢物子类时表现出差异化的性能和互补性.

结论:

已建立的线下多维染色学系统为全面的甘油代谢物概况提供了有效的平台.
采用线下2D-LC的方法2在表征更广泛的代谢物方面表现出卓越的性能.
这两种方法的互补性强调了它们对复杂的天然产品混合物的深入分析的有用性.

关键词:

葡萄糖菌是一种糖.高分辨率质谱测量高分辨率质谱离子交换色谱学离子交换色谱学代谢物表征代谢物的表征.多维色谱学多维色谱学线下三维液态色谱线下三维液态色谱线下两维液体色谱是二维的液体色谱.

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