基于色谱-质谱联用的脂质分析样品前处理技术研究进展（英文）

Recent advances in sample preparation techniques for the lipid profiling based on chromatography-mass spectrometry

脂质作为细胞膜和亚细胞膜的主要结构成分,在能量来源、细胞信号传导等多种生物学过程中发挥着重要作用。近年来,脂质分析受到越来越多的关注,其中色谱-质谱联用技术在脂质分析中占据主导地位。由于样品基质复杂,样品前处理有富集痕量物质和减少基质干扰的作用,成为脂质分析中的一个关键步骤。该文综述了近年来基于色谱-质谱联用技术的脂质分析中样品前处理技术的研究进展和应用,对各种样品前处理技术进行了阐述和总结。基于液相的萃取方法有液-液萃取和单一有机溶剂萃取。基于固相的萃取方法包括固相萃取和固相微萃取。场辅助萃取方法包括超临界流体萃取、加压流体萃取、微波辅助萃取和超声辅助萃取。此外,还介绍了在线联用样品前处理方法和用于活体分析的样品前处理方法。最后,对基于色谱-质谱联用的脂质分析样品前处理技术存在的问题及发展趋势进行了探讨。样品前处理技术的发展将提高脂质分析的灵敏度、选择性和分析速度。

As the main structural components of cellular and sub-cellular membranes,lipids are a major source of energy and play an important role in various biological processes such as cellular signaling. Lipid profiling has attracted increasing attention in recent years,and chromatography-mass spectrometry techniques for lipid profiling occupy a dominant position in this regard. Sample preparation,which aims at enriching trace substances and reducing matrix interferences,is a crucial step in the analysis of lipids for the intricacy of sample matrices.Here,we review recent developments in sample preparation techniques based on chromatography-mass spectrometry and their application to lipid profiling. Various sample preparation techniques are described and summarized. The extraction methods based on liquid phase included liquid-liquid extraction and single organic solvent extraction. The extraction methods based on solid phase involved solid-phase extraction and solid-phase microextraction. The field-assisted extraction methods cover supercritical fluid extraction,pressurized liquid extraction,microwave-assisted extraction,and ultrasound-assisted extraction. Moreover,online coupling sample preparation methods and sample preparation methods for in vivo lipid analysis are presented. Finally,the problems and trends in sample preparation techniques for lipid profiling based on chromatography-mass spectrometry are discussed. It is believed that efficient development of sample preparation techniques would help improve the sensitivity and selectivity of lipid profiling as well as the analysis speed.