Xue Xue, Yang Depo, Wang Dongmei, Xu Xinjun, Zhu Longping, Zhao Zhimin
School of Pharmaceutical Sciences, Sun Yet-sen University, Guangzhou, 510006, People's Republic of China.
Biomed Chromatogr. 2015 Apr;29(4):626-32. doi: 10.1002/bmc.3324. Epub 2014 Sep 24.
In this study, a novel solidification of floating organic drop liquid-phase microextraction cell fishing with gas chromatography-mass spectrometry (SFOD-LPME-CF-GC-MS) method was established and used to screen, isolate and analyze bioactive components from Amomum villosum Lour. extract. Through comparision of its effect on the models of normal cell and inflammatory cells, anti-inflammatory active components of essential oil from A. villosum Lour. were readily screened, and the components obtained are in agreement with related pharmacological articles. SFOD-LPME-CF-GC-MS was used to analyze the interaction of A. villosum Lour. extracts with normal and lipopolysaccharide-stimulated RAW264.7 macrophage cells. The effect of A. villosum Lour. essential oil extracts in the LPS-stimulated RAW264.7 model were also assessed in terms of cytotoxicity and nitric oxide production as an indication of bioactivity. Three potentially bioactive components were identified, demonstrating that SFOD-LPME-CF-GC-MS can be used successfully in the drug-screening process. This approach avoids the requirement for protein precipitation, but more importantly, generates a high concentration ratio, allowing analysis of trace components in traditional Chinese medicines. SFOD-LPME-CF-GC-MS is a simple, fast, effective and reliable method for the screening and analysis of bioactive components, and it can be extended to screen other bioactive components from TCMs.
在本研究中,建立了一种新型的悬浮有机液滴液相微萃取细胞垂钓结合气相色谱 - 质谱联用(SFOD - LPME - CF - GC - MS)方法,并用于从阳春砂提取物中筛选、分离和分析生物活性成分。通过比较其对正常细胞和炎症细胞模型的作用,易于筛选出阳春砂精油的抗炎活性成分,所得成分与相关药理文章一致。使用SFOD - LPME - CF - GC - MS分析阳春砂提取物与正常及脂多糖刺激的RAW264.7巨噬细胞之间的相互作用。还从细胞毒性和一氧化氮生成方面评估了阳春砂精油提取物在LPS刺激的RAW264.7模型中的生物活性。鉴定出三种潜在的生物活性成分,表明SFOD - LPME - CF - GC - MS可成功用于药物筛选过程。该方法避免了蛋白质沉淀的需求,但更重要的是,产生了高浓度比,能够分析中药中的痕量成分。SFOD - LPME - CF - GC - MS是一种用于生物活性成分筛选和分析的简单、快速、有效且可靠的方法,并且可以扩展用于筛选其他中药中的生物活性成分。