目的 采用超高效液相色谱-光电二极管阵列检测器（UPLC-PDA）建立大黄药材指纹图谱及同时测定大黄中9个成分含量的分析方法，并对17批不同产地、不同基原、不同生长年限的大黄进行质量分析和评价。方法 采用ThermoSyncronis C₁₈色谱柱（100 mm×2.1 mm，1.7 μm），以乙腈（A）-0.1%甲酸水溶液（B）为流动相，梯度洗脱。指纹图谱数据导入SIMCA-P 14.1软件进行聚类分析和主成分分析，同时基于UPLC-PDA法对番泻苷B、大黄酸-8-O-β-D-葡萄糖苷、番泻苷A、大黄素-8-O-β-D-葡萄糖苷、大黄素、大黄酸、大黄酚、大黄素甲醚、芦荟大黄素共9个成分进行定量分析。结果 17批大黄药材指纹图谱共寻找共有峰20个，经对照品指认9个峰。聚类分析与主成分分析显示，唐古特大黄、掌叶大黄能够显著区分，唐古特大黄与药用大黄相似，聚为一类；4年与5年的唐古特大黄不能区分、1年与2年的掌叶大黄不能区分。指标性成分含量测定结果显示，唐古特大黄高于其他2种大黄，4年的唐古特大黄质量优于5年的，2年的掌叶大黄质量优于1年的。结论 采用UPLC-PDA技术，建立的大黄药材指纹图谱结合多成分含量测定的方法能够快速、科学、准确地区分不同基原的大黄，并对不同年限大黄质量进行初步评价，为大黄药材基原区分及质量评价提供依据。

Objective A method was established to obtain fingerprint and determination of ninecomponents in rhubarb based on ultra-performance liquid chromatography photodiode array detection (UPLC-PDA), and 17 batches of rhubarb from different regions, different varieties and different growth years were analyzed. Methods A ThermoSyncronis C₁₈ column (100 mm×2.1 mm, 1.7μm) was used with a gradient of acetonitrile (A)-0.1% formic acid (B) as a mobile phase. Fingerprint data was imported intoSIMCA-P 14.1 software for cluster analysis and principal component analysis. At the same time, a total of ninecomponents including sennoside B, rhein-8-O-β-D-glucoside, sennoside A, emodin-8-O-β-D-glucoside, aloe-emodin, rhein, emodin, chrysophanol, physcion were quantitatively analyzed. Results 20 common peaks were found in the fingerprints of 17 batches of rhubarb, and 9 peaks were identified by standard compounds. Cluster analysis and principal component analysis showed that Rheum tanguticumwas similar to Rheum officinaleand could be distinguished with Rheum palmatumwell. Fouryears and fiveyears of R. tanguticum could not be distinguished, oneyear and twoyears of R.palmatumcould not be distinguished neither. The determination of the indicator components showed thatR. tanguticum was higher than the other two kinds of rhubarb; Fouryears of R. tanguticum was better than five years, and twoyears of R.palmatumwas better than oneyear. Conclusion This method established rhubarb fingerprint combined with multi-component determination based on UPLC-PDA technology could quickly, scientifically and accurately distinguish rhubarb of different origins. The preliminary evaluation of the rhubarb in different years and a basis for distinguishing the source of rhubarb was also provided.

R286.2

2017年江苏大学生创新创新训练计划项目；现代农业产业技术体系建设专项资金资助（CARS-21）；江苏省高校中药学优势学科II期建设项目（2014-ysxk）；名贵中药资源可持续利用能力建设项目（2060302-1702-15）