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生血宝合剂浓缩液质量快速分析方法研究 被引量:4

Study on rapid quality analysis method of Shengxuebao Mixture
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摘要 该研究基于紫外-可见光谱、近红外光谱及多变量数据处理技术,提出了一种生血宝合剂浓缩液的质量快速分析方法,用于同时预测生血宝合剂浓缩液中芍药内酯苷、芍药苷、二苯乙烯苷、特女贞苷、旱莲苷D、大黄素、毛蕊异黄酮苷和黄芪甲苷8种有效成分的含量。以高效液相色谱-紫外-质谱联用分析法作为有效成分含量测定的参照方法,使用偏最小二乘回归法建立生血宝合剂浓缩液紫外-可见光谱或近红外光谱与8种成分含量之间的多元校正模型,最后以24批测试集样本对模型性能进行评价。结果表明:生血宝合剂浓缩液中8个有效成分的紫外-可见光谱校正模型和近红外光谱校正模型的决定系数均高于0.9,紫外-可见光谱校正模型外部验证的预测决定系数均高于0.83,近红外光谱校正模型外部验证的预测决定系数均高于0.79,该方法准确、稳健、快速,适用于生血宝合剂浓缩液质量的快速评价。 A rapid analysis method based on ultraviolet-visual(UV-Vis)spectroscopy,near infrared(NIR)spectroscopy and multivariable data analysis was established for quality evaluation of Shengxuebao Mixture.The contents of eight active ingredients of Shengxuebao Mixture including albiflorin,paeoniflorin,2,3,5,4'-tetra-hydroxy-stilbene-2-O-β-D-glucopyranoside,specnuezhenide,ecliptasaponin D,emodin,calycosin-7-glucoside and astragalosideⅣwere simultaneously detected by using this method.HPLC-UVMS was used as a reference method for determining the contents of these ingredients.Partial least squares(PLS)analysis was implemented as a linear method for multivariate models calibrated between UV spectrum/NIR spectrum and contents of 8 ingredients.Finally,the performance of the model was evaluated by 24 batches of test samples.The results showed that both UV-Vis and NIR models gave a good calibration ability with an R2 value above 0.9,and the prediction ability was also satisfactory,with an R2 value higher than 0.83 for UV-Vis model and higher than 0.79 for NIR model.The overall results demonstrate that the established method is accurate,robust and fast,therefore,it can be used for rapid quality evaluation of Shengxuebao Mixture.
作者 潘坚扬 周紫楣 瞿海斌 刘红娜 刘生香 苏永健 胡珊珊 PAN Jian-yang;ZHOU Zi-mei;QU Hai-bin;LIU Hong-na;LIU Sheng-xiang;SU Yong-jian;HU Shan-shan(Pharmaceutical Informatics Institute,College of Pharmaceutical Sciences,Zhejiang University,Hangzhou 310058,China;Qinghua Deren Xi'an Xingfu Co.,Ltd.,Xi'an 710043,China)
出处 《中国中药杂志》 CAS CSCD 北大核心 2020年第9期2115-2121,共7页 China Journal of Chinese Materia Medica
基金 国家中药标准化项目(ZYBZH-C-QIN-46)。
关键词 紫外-可见光谱 近红外光谱 快速分析技术 生血宝合剂 UV-Vis spectroscopy NIR spectroscopy rapid analysis technology Shengxuebao Mixture
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