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学报
               46                   Journal of China Pharmaceutical University 2026, 57(1): 46 − 53


                基于多成分定量联合化学计量学的不同产地通关藤质量评价



                                    龙 悦 ,胡 阳 ,贺 玲 ,祝丽超 ,邵 莉                           1**
                                                      1
                                                                 2
                                            1
                                                                           1*
                              1
                                                                 2
                              ( 辽宁中医药大学附属第三医院, 沈阳          110005; 沈阳红旗制药有限公司, 沈阳        110179)
               摘 要 建立通关藤中多指标含量定量分析方法,结合主成分分析(PCA)、正交偏最小二乘法-判别分析(OPLS-DA)、因
               子分析(FA)及加权逼近理想解排序(TOPSIS)法评价其质量差异性。采用                        HPLC  波长切换法测定绿原酸、隐绿原酸、芥
               子酸、通关藤苷     A、通关藤苷    G、通关藤苷    I、通关藤苷   H、苦绳苷元    A、白桦脂酸、羽扇豆醇含量,同时检测醇溶性浸出物和总
               灰分含量,利用      PCA、OPLS-DA、FA  法对不同产地通关藤进行产地识别,根据              OPLS-DA  模型确定指标权重,以构建加权
               TOPSIS  评价模型,通过模型评分结果对不同产地通关藤进行质量差异分析。18 批通关藤中                         12 个指标含量均存在不同程度
               的差异,实验方法重复性和准确性良好。PCA              分析将   18 批通关藤分为     3 类,OPLS-DA  确定通关藤苷    A、通关藤苷   I、羽扇豆
               醇、通关藤苷     H  和绿原酸等   5 个主要潜在质量标志物。FA        和加权   TOPSIS  法评价结果一致,均显示云南和贵州产地的通关
               藤质量较优。建立的多指标定量分析方法准确可靠,化学计量学模型预测能力强,FA                            和加权  TOPSIS  法评价结果科学客观,
               四者结合可对不同产地通关藤的质量进行明确划分。
               关键词 通关藤;高效液相色谱法;化学计量学;加权                TOPSIS  法;综合评价
               中图分类号  R917;R284.1       文献标志码 A         文章编号 1000−5048(2026)01−0046−08
                                                        doi:10.11665/j.issn.1000−5048.2025041402

                引用本文 龙悦,胡阳,贺玲,等. 基于多成分定量联合化学计量学的不同产地通关藤质量评价                   [J]. 中国药科大学学报,2026,57(1):46-53.

                Cite this article as: LONG Yue, HU Yang, HE Ling, et al. Quality evaluation of Marsdenia tenacissimae from different producing areas based
                on multi-component quantitative combined with chemometrics[J]. J China Pharm Univ, 2026, 57(1): 46-53.


               Quality evaluation of Marsdenia tenacissimae from different producing areas
               based on multi-component quantitative combined with chemometrics
                         1
                                                       1*
                                  1
                                           2
               LONG Yue , HU Yang , HE Ling , ZHU Lichao , SHAO Li 1**
               1
                Third Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang 110005;
               2
                Shenyang Hongqi Pharmaceutical Co., Ltd., Shenyang 110179, China
               Abstract    A quantitative method for the analysis of the multi-component contents in Marsdenia tenacissimae
               was established, and the quality differences were evaluated by principal component analysis (PCA), orthogonal
               partial  least  squares-discriminant  analysis  (OPLS-DA),  factor  analysis  (FA)  and  weighted  technique  for  order
               preference by similarity to ideal solution (TOPSIS) method. The contents of chlorogenic acid, cryptochlorogenic
               acid, sinapic acid, tenacigenoside A, tenacissoside G, tenacissoside I, tenacissoside H, drevogenin A, betulinic
               acid  and  lupeol  were  determined  by  HPLC  wavelength  switching  method.  At  the  same  time,  the  contents  of
               alcohol-soluble extract and total ash were detected. PCA, OPLS-DA and FA methods were used to identify the
               origin of M. tenacissimae from different producing areas. According to the OPLS-DA model, the index weight
               was  determined  to  construct  the  weighted  TOPSIS  evaluation  model.  The  qualities  of  M.  tenacissimae  from
               different producing areas were analyzed by model scoring results. The contents of 12 indexes in 18 batches of M.
               tenacissimae varied to different degrees, and the repeatability and accuracy of the test method were satisfactory.
               PCA  analysis  divided  18  batches  of  M.  tenacissimae  into  three  categories.  OPLS-DA  identified  five  main


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                    收稿日期 2025-04-14  通信作者     E-mail:wzna02@163.com
                                             **
                                                E-mail:jcp771@163.com
                    基金项目    辽宁省中药传承技术骨干人才培养项目(辽中医药综合字〔2021〕70 号);辽宁省中医药特色人才培养项目(辽中医药综
                            合字〔2021〕38 号);辽宁省教育厅高等学校基本科研项目(LJKZ0893)
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