目的 探究厚朴Magnoliae Officinalis Cortex（MOC）发汗前后外观颜色和内在化学成分变化的相关性，评价发汗对厚朴品质的影响。方法 采用HPLC法建立厚朴发汗前后指纹图谱，结合层次聚类分析（hierarchical cluster analysis，HCA）、主成分分析（principal component analysis，PCA）、正交偏最小二乘法-判别分析（orthogonal partial least squares-discriminant analysis，OPLS-DA）等多种化学模式识别方法对其进行质量评价；采用RGB颜色模式客观量化未发汗厚朴与发汗厚朴粉末的RGB值；运用Origin 2024软件分析指纹图谱共有峰与颜色R、G、B值之间的相关性。结果 未发汗厚朴与发汗厚朴HPLC指纹图谱相似度较高，标定了11个共有峰，并指认出其中5种成分，分别为紫丁香苷（峰1）、木兰花碱（峰3）、厚朴苷A（峰4）、和厚朴酚（峰10）与厚朴酚（峰11）；HCA、PCA和OPLS-DA识别模型有效区分未发汗厚朴与发汗厚朴。HPLC指纹图谱与颜色RGB值相关性分析表明，厚朴发汗前后颜色变化主要与紫丁香苷、木兰花碱、厚朴苷A、厚朴酚等成分相关。结论 厚朴发汗前后外观颜色与内在成分变化高度关联，有利于揭示厚朴产地加工发汗的科学内涵，为基于“辨色论质”评价厚朴品质提供依据。

Objective To explore the correlation between the appearance color and internal chemical composition of Houpo (Magnoliae Officinalis Cortex, MOC) before and after sweating, and to evaluate the effect of sweating on the quality of MOC. Methods The fingerprints of MOC before and after sweating were established by HPLC, and the quality evaluation was carried out by combining multivariate chemical pattern recognition methods, including hierarchical cluster analysis (HCA), principal component analysis (PCA), and orthogonal partial least squares-discriminant analysis (OPLS-DA). The RGB values of non-sweating MOC and sweating MOC powder were objectively quantified by RGB color pattern. The correlation between the common peaks of HPLC fingerprint and the color R, G, and B values was analyzed by Origin 2024 software. Results The HPLC fingerprints of non-sweating MOC and sweating MOC were similar, with 11 common peaks identified, and five components were recognized, which were syringin (peak 1), magnoflorine (peak 3), magnoloside A (peak 4), honokiol (peak 10) and magnolol (peak 11). The HCA, PCA, and OPLS-DA recognition models effectively distinguished non-sweating MOC and sweating MOC. The correlation analysis between the HPLC fingerprint and color RGB value indicated that the color changes of MOC before and after sweating were mainly related to components including syringin, magnoflorine, magnoloside A and magnolol. Conclusion This study shows that the appearance color and internal component changes of MOC before and after sweating are highly correlated, which is conducive to revealing the scientific connotation of MOC sweating in processing area, and providing a basis for evaluating the quality of MOC based on the principle of “distinguishing colors to judge quality”.

R283.6

四川省自然科学基金资助项目（2023NSFSC0661）