摘要
目的建立高效液相色谱-生物化学检测(HPLC-BCD)多维在线联用分析方法,筛选银杏叶提取物治疗老年痴呆疾病(Alzheimer disease,AD)的药效成分。方法运用HPLC-UV(紫外)-1,1-二苯基-2-三硝基苯肼/2,2-联氮-二(3-乙基-苯并噻唑-6-磺酸)二铵盐(DPPH/ABTS)、HPLC-UV-乙酰胆碱酯酶(Ach E)方法快速筛选银杏叶提取物中的自由基清除剂和Ach E抑制剂。以加兰他敏为阳性对照,考察在线HPLC-UV-Ach E方法的稳定性和重现性。运用超高效液相色谱(UPLC)-LTQ/线性离子阱/静电场轨道阱高分辨质谱(orbitrap MS)(UPLC-LTQ/orbitrap MS)方法鉴定主要活性成分。结果 HPLC-UV-DPPH/ABTS方法检测到银杏叶提取物中的14个强抗氧化成分,而运用HPLC-UV-Ach E方法发现了3个Ach E抑制剂,通过UPLCLTQ/orbitrap MS方法鉴定了3个酶抑制剂分别为4-O-beta-glucopyranosyl-cis-coumaric acid、ginkgolide A和3-O-[2-O-(β-D-glucosyl)-α-L-rhamnosyl]quercetin。结论实验建立的在线HPLC-BCD方法具有良好的灵敏度、重现性和稳定性,能够快速筛选银杏叶提取物中的抗氧化剂和Ach E抑制剂。为快速发现中药治疗相关疾病的有效成分提供一种有效、快速、便捷的分析手段。
OBJECTIVE To develop on-line high performance liquid chromatography-biochemical detection( HPLC-BCD) methods to screen effective components in Ginkgo biloba extract for treatment of Alzheimer's disease. METHODS Radical scavengers and Ach E inhibitors in G. biloba leave extract were screened by HPLC-UV-DPPH/ABTS and HPLC-UV-Ach E methods,respectively. The stability and repeatability of the on-line HPLC-UV-Ach E method were investigated using galanthamine as a positive reference. The main active ingredients in the extract were identified by ultra high performance liquid chromatography linear ion trap/orbitrap high resolution mass spectrometry( UPLC-LTQ/orbitrap MS) method. RESULTS Fourteen antioxidants in G. biloba extract were detected by the HPLC-UV-DPPH/ABTS method,while three Ach E inhibitors were found by the HPLC-UV-Ach E method. The three Ach E inhibitors were tentatively identified by UPLC-LTQ/orbitrap MS as 4-O-beta-glucopyranosyl-cis-coumaric acid、ginkgolide A and 3-O-[2-O-( β-DGlucosyl)-α-L-rhamnosyl]quercetin,respectively. CONCLUSION The proposed on-line HPLC-BCD method shows high sensitivity,good repeatability and stability. It can be used to screen antioxidants and Ach E inhibitors in G. biloba extract. This will provide an effective,quick and convenient analysis tool to quickly find bioactive ingredients of traditional Chinese medicines for treating related diseases.
引文
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