目的 研究黄芪Astragali Radix-大黄Rhei Radix et Rhizoma最佳配比的内在关系。方法 利用高效液相色谱法-光电二极管阵列检测器/蒸发光散射检测器（high performance liquid chromatography-photo-diode array/evaporative light-scattering detector，HPLC-PDA/ELSD）法建立不同配比黄芪-大黄（1∶1、2∶1、3∶1、4∶1、5∶1）指纹图谱，采用网络药理学寻找计算黄芪-大黄治疗慢性肾衰钙磷代谢紊乱的特征性成分归一化度（degree）值并对标准化峰面积进行加权；用主成分分析（principal component analysis，PCA）综合化学成分和药效这2个层面，寻找其配比的变化。结果 15批不同配比黄芪-大黄指纹图谱中有19个共有峰（PDA条件下18个，ELSD条件下5个，两者重叠峰4个）。除了ELSD中1∶1的相似度大于或等于0.77外，其余配比指纹图谱相似度均大于或等于0.96。黄芪-大黄活性成分指认中，黄芪甲苷degree值最大，其次是芒柄花苷、毛蕊异黄酮葡萄糖苷和大黄素。不同配比黄芪-大黄PCA综合评价得分中，黄芪-大黄3∶1时得分最高（0.764），质量最好。结论 黄芪-大黄最佳配比筛选结果与临床验方中黄芪-大黄的常用配比一致；为临床用药用量配比关系提供一定的数据参考。

Objective This study investigates the intrinsic relationship of the optimal Huangqi (Astragali Radix, AR)-Dahuang (Rhei Radix et Rhizoma, RRR) ratio.Methods The HPLC-PDA/ELSD method was used to establish the fingerprints of AR-RRR with different ratios (1:1, 2:1, 3:1, 4:1, 5:1). Network pharmacology was used to find and calculate the normalized degree value of the characteristic components of AR-RRR in the treatment of calcium and phosphorus metabolism disorders in chronic renal failure, and the normalized peak area was weighted. Principal component analysis was employed to comprehensively evaluate both chemical composition and pharmacodynamic effects.Results There were 19 common peaks (18 under PDA, five under ELSD, and four overlapping peaks) in the fingerprints of AR-RRR with different ratios in 15 batches. Except for the similarity of 1:1 in ELSD, which was at least 0.77, the similarity of the other matching fingerprints was greater than or equal to 0.96. Among the identified active ingredients of AR-RRR, astragaloside IV had the highest degree value, followed by ononin, calycosin-7-O-β-D-glucopyranoside and emodin. Among the comprehensive evaluation scores of PCA with different ratios, AR-RRR had the highest score of 3:1 (0.764) and the best quality.Conclusion The screening results of the optimal ratio of AR-RRR were consistent with the commonly used ratio of AR-RRR in clinical prescriptions. This study could offer certain data references for clinical herbal medication dosage ratios and combinations.

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国家自然科学基金资助项目（81804052）；深圳市科技计划项目（JCYJ20240813152222028）；深圳市科技计划项目（JCYJ20220531091809022）；深圳市科技计划项目（ZDSYS201606081515458）；深圳市医疗卫生三名工程项目（SZZYSM202111002）