目的:探讨不同来源红花动态指纹图谱规律及适合中药(复方)多成分质量控制的综合评价方法。方法:收集不同来源红花样品32批,以羟基红花黄色素A为对照,RP—HPLC方法建立红花药材指纹图谱,采用总量统计矩相似度法和主成分分析进行评价分析。结果:32批样品中符合2010年版《中国药典》标准的红花20批,总量统计矩法计算其AUC,,MCRTT,VCRTT的平均值分别为4454mV·s^(-1),27.89min,305.49min2,RSD分别为22%,4.69%,7.32%;总量统计矩相似度法分析20批合格样品结果为:共有特征峰37个,以5号样品为对照,相似度范围为0.82-0.99,相似度平均值为0.94,RSD5.03%;主成分分析选出7个主因子,其总贡献率为88.72%。结论:总量统计矩相似度法与主成分分析相结合可综合分析红花药材质量及动态变化规律,是一种适合中药质量控制的评价方法。
Objective: To study the rule of the dynamic HPLC fingerprints of safflower from different source and find a comprehensive evaluation method suitable for quality control of TCM (or compounds ) muhicomponent. Method: Thirty-two batches safflower sample were collected and safflower yellow A was used for reference. RP-HPLC was used to establish chromatographic fingerprints for evaluated and analyzed by total quantum statistical moment similarity (TQSMS) and principal component analysis (PCA). Result: Twenty samples in 32 comply with Chinese pharmacopoeia; the TQSMPM parameters of the AUCr, MCRTT, VCRTT were 4 454 mV·s^(-1), 27.89 min, 305.49 min2, and the RSD is 22% , 4.69% , 7.32% respectively for all. The 20 samples up to standard safflower were analyzed by TQSMS: 37 common characteristic peaks, the similarity range of 0. 82-0.99 contrasts to the number 5 samples, the average similarity was 0.94, RSD was 5.03%. Seven principal components which accounted for over 88.72% of the total variance were extracted from the original data. Conclusion: TQSMS combined with PCA can comprehensively analyze the quality and dynamic regulation of safflower, and it is an effective method that is fit to the quality evaluation of chemical components group of Chinese medicine.