目的:建立黑骨藤(Periploca forrestil Schltr.)超高效液相色谱(UPLC)特征图谱分析方法,为黑骨藤药材品质鉴别提供依据。方法:采用Aglient C18(2.1 mm×100 mm,2.7μm)色谱柱,以甲醇-0.1%磷酸水溶液为流动相,线性梯度洗脱,流速0.8 mL·min-1,柱温40℃,检测波长221 nm,进样量1μL。结果:以杠柳苷和绿原酸为参照物峰,标识出21批样品中有12个共有峰,其相似度均在0.9-1.0之间;四川产地标识15个共有峰,贵州地区标识16个共有峰,广西地区标识19个共有峰,云南地区标识21个共有峰。经过聚类分析和主成分分析,可知四川产地自成一类,贵州产地自成一类,广西和云南自成一类,同一类地区样品之间化学成分种类相差不大。结论:该方法高效、快速,重现性好,能够有效地区别黑骨藤4个产地植物的差异。
Objective: To establish an analysis method via ultra performance liquid chromatography ( UPLC ) characteristic chromatogrmn of Periplocaforrestil Schhr. , so as to provide an basis for Periplocaforrestil Schhr. quality identification. Methods: An Aglient C18 ( 2.1 mm × 100 mm, 2.7 μm )chromatographic column was adopted. The mobile phase consisted of methanol-0.1% phosphoric acid solution with linear gradient elution at the flow rate of 0.8 mL. min-1, the column temperature was 40 ℃, the detection wavelength was 221 nm, and the injection volumewas 1 μL. Results: Taking periplogenin and chlorogenic acid as reference peak, 12 common peaks were identified in the samples of 21 group by UPLC fingerprint of Periplocaforrestil Schltr.. The corresponding reference fingerprint for each place were established, and the similarity was calculated between 0.9 to 1.0. There were 15 common peaks identified from samples of Sichuan province, 16 common peaks from samples of Guizhou province, 19 from Guangxi province, and 21 from Yunnan province. By cluster analysis and principal component analysis, Sichuan origin was one class, Guizhou origin was a second class, Guangxi and Yunnan origins the third class, and there were few chemical composition differences in the same class. Conclusion: This method is efficient, rapid and with good reproducibility, which can effectively distinguish the differences between four leading producers of Periplocaforrestil Schltr. plant.