用高效液相色谱组方指纹图谱智能预测中药质量的新模式

引用本文: 巩丹丹, 董嘉俊, 孙国祥, 张晶, 张玉静, 孙万阳. 用高效液相色谱组方指纹图谱智能预测中药质量的新模式[J]. 色谱, 2017, 35(6): 643-649. doi: 10.3724/SP.J.1123.2016.12041 shu

Citation: GONG Dandan, DONG Jiajun, SUN Guoxiang, ZHANG Jing, ZHANG Yujing, SUN Wanyang. A novel pattern for predicting the quality of Chinese herba preparation intelligently by high performance liquid chromatographic formula fingerprints[J]. Chinese Journal of Chromatography, 2017, 35(6): 643-649. doi: 10.3724/SP.J.1123.2016.12041 shu

用高效液相色谱组方指纹图谱智能预测中药质量的新模式

巩丹丹 ^1, ,
董嘉俊 ^1, ,
孙国祥 ^1, ,
张晶 ^1, ,
张玉静 ^1, ,
孙万阳 ^2,

1.
沈阳药科大学药学院, 辽宁沈阳 110016;
2.
暨南大学药学院, 中药及天然药物研究所, 广州广东 510632
基金项目:
国家自然科学基金人才培养基金项目（J1103606）.

摘要: 建立大黄、黄芩、黄连的高效液相色谱（HPLC）组方指纹图谱，确定其融合模型，观察组方融合指纹图谱（CSF）与一清片复方样品指纹图谱的一致性，从而以CSF代替复方整体来智能预测复方制剂质量。用二极管阵列检测器（DAD）同时测定黄芩、大黄、黄连和一清片在268 nm波长下的HPLC指纹图谱，并使用系统指纹定量法进行定性、定量评价。结果CSF涵盖各单味药主要色谱峰信息，即CSF共有峰（55个）涵盖一清片样品共有峰（50个）的主要指纹图谱信息。15批样品的质量除YQT-S01为5级外，其他质量均为3级及以上。各组合模式CSF质量除CSF-2为6级外，其余均为2级或1级。该文探讨了标准指纹图谱和中药组方融合指纹图谱的相关性，可以与相应的计算机评价软件相结合，通过组方融合指纹图谱所代表复方制剂的整体指纹图谱来实现智能预测中药成方制剂质量的新模式。

关键词:

English

A novel pattern for predicting the quality of Chinese herba preparation intelligently by high performance liquid chromatographic formula fingerprints

1.
College of Pharmacy, Shenyang Pharmaceutical University, Shenyang 110016, China;
2.
Institute of Traditional Chinese Medicine & Natural Products, College of Pharmacy, Jinan University, Guangzhou 510632, China
Received Date: 27 December 2016
Fund Project:
National Natural Science Foundation of Personnel Training Funds (No. J1103606).

Abstract: In order to build the fusion models, the high performance liquid chromatographic (HPLC) fingerprints of scutellariae radix (SR), rhei radix et rhizoma (RRR), coptidis rhizoma (CR) and their synthesizing fingerprints were developed in this study. After exploring the consistency between the fingerprints of compound synthesizing fingerprints (CSF) and the sample, the quality of traditional Chinese medicine preparation was predicted intelligently using CSF. HPLC coupled with diode array detector was used to obtain chromatograms of SR, RRR, CR and Yi Qing Tablet (YQT) samples at 268 nm. Meanwhile, the quality of CSF and the 15 batches of YQT samples was evaluated by systematically quantified fingerprint method (SQFM) qualitatively and quantitatively. The chromatograms showed that CSF covered the main fingerprints' information of each herb and the 55 common peaks of CSF covered the main information of the 50 common peaks in YQT sample. The evaluation results showed that among the 15 batches of YQT samples, only YQT-S01 was grade 5 and the others were all above grade 3. Most of the CSFs were grade 2 or grade 1 except CSF-2 which was grade 6. The fingerprints of Chinese herba preparation could be replaced by CSF to achieve a novel pattern for predicting the quality of TCM preparation intelligently by studying the relationship between the standard fingerprints and the CSF, and simultaneously developing first-class evaluation software.

Key words:

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沈阳化工大学材料科学与工程学院沈阳 110142

用高效液相色谱组方指纹图谱智能预测中药质量的新模式

English

A novel pattern for predicting the quality of Chinese herba preparation intelligently by high performance liquid chromatographic formula fingerprints

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用高效液相色谱组方指纹图谱智能预测中药质量的新模式

English

A novel pattern for predicting the quality of Chinese herba preparation intelligently by high performance liquid chromatographic formula fingerprints

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