详细信息
基于HPLC指纹图谱与化学模式相结合的益气活血通便方提取工艺优选 被引量:5
Extraction process optimization of Yiqi Huoxue Tongbian Recipe based on the combination of HPLC fingerprint and chemical model
文献类型:期刊文献
中文题名:基于HPLC指纹图谱与化学模式相结合的益气活血通便方提取工艺优选
英文题名:Extraction process optimization of Yiqi Huoxue Tongbian Recipe based on the combination of HPLC fingerprint and chemical model
作者:李硕[1,2];杨晓玲[1];权起元[1];刘书斌[3];王本欢[1];杨秀娟[1];赵林华[4];李越峰[1];仝小林[4]
第一作者:李硕
机构:[1]甘肃中医药大学,甘肃兰州730000;[2]甘肃省高校中(藏)药化学与质量研究省级重点实验室,甘肃兰州730000;[3]甘肃省中医院,甘肃兰州730050;[4]中国中医科学院广安门医院,北京100053
第一机构:甘肃中医药大学
年份:2022
卷号:53
期号:18
起止页码:5692
中文期刊名:中草药
外文期刊名:Chinese Traditional and Herbal Drugs
收录:CSTPCD;;Scopus;北大核心:【北大核心2020】;CSCD:【CSCD2021_2022】;
基金:国家自然科学基金资助项目(81960713);国家自然科学基金资助项目(82160750);国家自然科学基金资助项目(82160755);甘肃省高等学校创新基金项目(2021A-079);甘肃省中医药科研课题项目(GZKZ-2021-7);甘肃省自然科学基金项目(18JR3RA201);甘肃省基础研究创新群体项目(21JR7RA569);甘肃省青年科技基金项目(20JR10RA331);甘肃省教育厅项目(2121CYZC-21);甘肃省教育厅项目(2021B-157);甘肃省高校中(藏)药化学与质量研究省级重点实验室项目(zzy-2018-06);敦煌医学与转化教育部重点实验室2020年度开放课题(DHYX20-10)。
语种:中文
中文关键词:益气活血通便方;指纹图谱;主成分分析;模糊物元模型;质量评价;绿原酸;松果菊苷;毛蕊异黄酮葡萄糖苷;阿魏酸;毛蕊花糖苷;毛蕊异黄酮;芒柄花素
外文关键词:Yiqi Huoxue Tongbian Recipe;fingerprint;principal component analysis;fuzzy matter-element model;quality evaluation;chlorogenic acid;echinacoside;calycosin-7-glucoside;ferulic acid;acteoside;calycosin;formononetin
摘要:目的 建立基于HPLC指纹图谱与化学模式相结合的益气活血通便方(Yiqi Huoxue Tongbian Recipe,YHTR)提取工艺优选方法。方法 采用HPLC法建立YHTR指纹图谱,并同时测定绿原酸、松果菊苷、毛蕊异黄酮葡萄糖苷、阿魏酸、毛蕊花糖苷、毛蕊异黄酮、芒柄花素7种指标性成分含量,以干膏率及7种成分含量为指标,利用主成分分析(principal component analysis,PCA)和模糊物元模型(fuzzymatter-element model,FMEM)2种化学模式识别技术优选YHTR最佳提取工艺。结果 不同提取工艺的YHTR HPLC指纹图谱标定20个共有峰,相似度在0.782~0.999;7个指标性成分质量分数分别为7.3~57.3、727.6~10 584.7、13.4~79.2、31.7~105.0、100.1~1 115.3、7.4~41.9、2.3~19.0μg/g,干膏率为17.8%~24.3%。FMEM和PCA结果一致,YHTR的指标性成分含量与提取时间、提取次数以及加水倍数具有相关性。从7种指标性成分提取率和干膏得率角度考虑,YHTR最佳提取工艺为加10倍量水,提取3次,每次提取时间60 min。结论 通过指纹图谱结合化学模式识别技术的分析策略可快速有效的筛选YHTR最佳提取工艺,为YHTR后续制剂开发提供了参考。
Objective Based on the combination of HPLC fingerprint and chemical model, the method for optimizing the extraction process of Yiqi Huoxue Tongbian Recipe(YHTR) was established. Methods The fingerprint of YHTR was established by HPLC, and the contents of seven index components including chlorogenic acid, echinacoside, calycosin-7-glucoside, ferulic acid, acteoside,calycosin, formononetin were determined at the same time. Taking the dry paste rate and the content of seven components as indicators,two chemical pattern recognition techniques(PCA and FMEM) were used to optimize the optimal extraction process of YHTR.Results The HPLC fingerprints of YHTR with different extraction processes were used to calibrate 20 common peaks, and the similarity ranged from 0.782 to 0.999;The mass fractions of 7 index components were 7.3—57.3, 727.6—10 584.7, 13.4—79.2, 31.7—105.0, 100.1—1 115.3, 7.4—41.9, 2.3—19.0 mg/g respectively. The dry extract rate of different extraction processes was 17.8%—24.3%. The results of fuzzy matter-element model and principal component analysis are consistent, and the content of index components of YHTR is related to extraction time, extraction times and water addition times. From the perspective of the extraction rate of seven index components and the yield of dry paste, the best extraction process of YHTR is to add 10 times of water, extract three times, and extract for 60 min each time. Conclusion The analysis strategy of fingerprint combined with chemical pattern recognition technology can quickly and effectively screen the best extraction process of YHTR. The established multi index quality evaluation method provides a reference for the quality control and subsequent preparation development of YHTR.
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