目的 建立叶下珠HPLC指纹图谱评价体系.方法 采用Diamonsil C₁₈(250 mm×4.6 mm,5 μm)色谱柱,乙腈-0.2%冰醋酸水溶液为流动相梯度洗脱,检测波长270 nm,体积流量1.0 mL/min.测定9个不同产地叶下珠指纹图谱,采用中药色谱指纹图谱相似度评价系统(2004A版)计算相似度,并用对照品和液质联用技术指认色谱峰.结果 建立了叶下珠指纹图谱共有模式,标定了11个共有峰,指认了其中8个主要色谱峰,用聚类分析和主成分分析对指纹图谱进行模式识别.结论 将指纹图谱和模式识别结合起来对叶下珠进行质量控制是一种有效的评价方法,为叶下珠的全面质量控制提供了基础.

Objective To establish the HPLC fingerprint and its evaluation system for the whole plant of Phyllanthus urinaria. Methods Diamonsil C₁₈ column(250 mm × 4.6 mm, 5 μm)was used with acetonitrile and 0.2% acetic acid solution in gradient elution mode. The detective wavelength was 270 nm and the flow rate was 1.0 mL/min. The fingerprints for the whole plant of P. urinaria and phenolic acids part from nine different sources were set up, the similarity assay for the whole plant of P. urinaria from nine different sources was carried out to evaluate their quality by Chinese material medica (CMM) fingerprint similarity evaluation system ( 2004A edition), and the peaks were identified by comparing the reference substance with LC-MS/MS. Results The common mode of HPLC fingerprints for the whole plant of P. urinaria were set up. There were 16 common peaks in the fingerprints and eight peaks were identified. The cluster analysis and principal component analysis were applied to studying the HPLC fingerprint and chemical pattern recognition. Conclusion The combination of fingerprint and chemical pattern recognition is an effective method for the quality control of the whole plant of P. urinaria. The study lays the foundation for the full quality evaluation for the whole plant of P. urinaria.

国家自然科学基金资助项目(30171197);北京市自然基金项目(7073093);北京市教育委员会科技成果转化与产业化项目;北京中医药大学科研创新团队(2011-CXTD-12)