本研究以现代分析技术为核心技术，探讨细胞不同状态下的内源性脂质成分变化的内在相关性，结合化学计量学与生物信息学阐明其机制，并应用于药物筛选评价。.具体主要采用色谱-波谱联用分析技术，进行在线分析鉴别，应用化学计量学原理，筛选最佳算法处理实验数据；对RAW264.7细胞总脂质成分进行鉴别，并对不同状态（正常状态、炎症状态、给药状态）下该细胞脂质成分的变化进行量化描述，寻找与炎症反应有关的特征性脂质成分；采用生物信息学表征其生物学意义，预测潜在的与炎症反应相关的细胞内源性脂质成分靶点,并应用以上靶点对高良姜二苯基庚烷的抗炎活性作用进行评价，推测其可能的抗炎机理。.本研究首次应用色谱-波谱联用技术结合化学计量学方法及生物信息学方法对RAW264.7细胞不同状态下的脂质成分进行分析鉴别，提出一种基于色谱-波谱分析化学技术的细胞水平药物评价筛选方法，为系统药物研究提供理论支持。

In this study, as the core technology of modern analytical techniques to explore the correlation of the endogenous lipid components in the different states of the cell changes, combined with chemometrics and bioinformatics to elucidate its.This study was used mainly on-line analysis to identify the application of chemical metrology with chromatography - spectroscopy analytical techniques ,and screening the best algorithm to deal with the experimental data; the total lipid composition of the RAW264.7 cells were identified, and under different states (normal state. inflammatory status, delivery status) the changes in the the lipid component of the cell was quantitative described for seek out the characteristic lipid components; characterize their biological significance by Bioinformatics , and predict potential targets which is cells endogenous lipid components related to the inflammatory effect ,and use these targets on the role of anti-inflammatory activity of galangal diarylheptanoids evaluation suggesting its possible anti-inflammatory mechanism..This is the first application of chromatography - spectroscopy combined technology associated with chemometric methods and bioinformatics methods to analyze the lipid components the RAW264.7 cells under different states; and propose a method which is for drug evaluation screening by chromatography - spectroscopy Analytical Chemistry techniques at the cellular level.