【摘要】 目的建立评价柴胡挥发油质量优劣的指纹图谱分析方法。方法采用毛细管气相色谱分析,DB-1毛细管柱(30m×0.25mm×0.25μm);程序升温:柱温50℃(保持5min),以3℃/min升至170℃,再以5℃/min升至230℃(保持5min);气化室温度:250℃;载气:氮气;体积流量:1.03mL/min;进样量:0.5μL;分流比:10∶1。氢火焰离子化检测器(FID),检测温度:250℃。以正壬烷为内参照物,测定了25批不同产地柴胡药材的GC指纹图谱。结果根据聚类分析和相似度分析处理结果,将柴胡分为两类:推荐药材与不推荐药材。结论本方法简便、快捷、可靠,可用于柴胡挥发油的质量控制。更多还原

【Abstract】 Objective To establish the GC fingerprint analysis for the quality control of volatile oil in Radix Bupleuri. Methods The GC with capillary column DB-1 （30 m×0.25 mm×0.25 μm） was used. The column was maintained at 50 ℃ for 5 min after injection then programmed at 3 ℃/min to 170 ℃ and at 5 ℃/min to 230 ℃ which was maintained for 5 min. Gasification temperature: 250 ℃, carrier gas: N₂, flow rate: 1.03 mL/min, inlet volumn: 0.5 μL, spliting ratio: 10∶1, FID Injector temperature: 250 ℃. The internal standard was [WTBX]n-nonane used to determine 25 batches of Radix Bupleuri from different habitats by GC fingerprint. Results The 25 batches of Radix Bupleuri are classified to be the qualified and unqualified based on the results of cluster and similarity analyses. Conclusion The method is simple and reliable and it is capable of effectively controlling the quality of Radix Bupleuri.更多还原