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1.山西中医药大学中药与食品工程学院,山西 晋中 030619
2.山西省中西医结合医院中心实验室,太原 030013
讲师,硕士。研究方向:中药药效物质及质量控制。电话:0351-3179979。E-mail: lihuifeng2046@163.com
教授,硕士。研究方向:中药复方化学及新药开发。电话:0351-3179979。E-mail:peimr602@163.com
纸质出版日期:2022-11-15,
收稿日期:2022-04-11,
修回日期:2022-09-22,
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李慧峰,孔祥鹏,孟霜等.复方茴芹颗粒的指纹图谱建立、化学模式识别及多成分含量测定 Δ[J].中国药房,2022,33(21):2627-2631.
LI Huifeng,KONG Xiangpeng,MENG Shuang,et al.Establishment of fingerprint, chemical pattern recognition and multi-component content determination of Compound huiqin granules[J].ZHONGGUO YAOFANG,2022,33(21):2627-2631.
李慧峰,孔祥鹏,孟霜等.复方茴芹颗粒的指纹图谱建立、化学模式识别及多成分含量测定 Δ[J].中国药房,2022,33(21):2627-2631. DOI: 10.6039/j.issn.1001-0408.2022.21.12.
LI Huifeng,KONG Xiangpeng,MENG Shuang,et al.Establishment of fingerprint, chemical pattern recognition and multi-component content determination of Compound huiqin granules[J].ZHONGGUO YAOFANG,2022,33(21):2627-2631. DOI: 10.6039/j.issn.1001-0408.2022.21.12.
目的
2
建立复方茴芹颗粒的高效液相色谱(HPLC)指纹图谱并结合化学模式识别技术进行分析,同时测定该颗粒剂中8种有效成分的含量。
方法
2
采用HPLC法,以葛根素的色谱峰为参照峰,绘制10批复方茴芹颗粒样品的指纹图谱;采用《中药色谱指纹图谱相似度评价系统(2012版)》进行相似度评价,并指认共有峰;采用SPSS 22.0、SIMCA 14.0软件进行聚类分析和主成分分析。采用HPLC法测定样品中8种有效成分绿原酸、葛根素、3′-甲氧基葛根素、大豆苷、木犀草素-7-
O-β
-D-葡萄糖醛酸苷、异绿原酸A、芹菜素-7
-O-β
-D-葡萄糖醛酸苷、异绿原酸C的含量。
结果
2
10批复方茴芹颗粒的指纹图谱中共有26个共有峰,相似度均大于0.900;共指认出11个共有峰,分别为没食子酸、新绿原酸、绿原酸、葛根素、3′-甲氧基葛根素、大豆苷、木犀草素-7-
O-β
-D葡萄糖醛酸苷、异绿原酸A、芹菜素-7-
O-β
-D-葡萄糖醛酸苷、异绿原酸C及大豆苷元。聚类分析和主成分分析结果显示,10批复方茴芹颗粒可聚为4类,其中S2、S3、S6为一类,S4、S8、S10为一类,S7为一类,S1、S5、S9为一类。10批复方茴芹颗粒中8种有效成分的平均含量分别为1.30、17.42、3.51、3.57、0.75、0.41、0.31、0.32 mg/g。
结论
2
本研究成功建立了复方茴芹颗粒的指纹图谱及多成分含量测定方法,可为该颗粒剂的质量控制提供依据。
OBJECTIVE
2
To establish the high-performance liquid chromatography (HPLC) fingerprint of Compound huiqin granules and analyze it with chemical pattern recognition, and determine the contents of 8 active components in the granules.
METHODS
2
Using puerarin as reference peak, the fingerprints of 10 batches of Compound huiqin granules were drawn by HPLC method.
Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine
(2012 edition) was used to evaluate the similarity and identify common peaks; SPSS 22.0 and SIMCA 14.0 software were used for cluster analysis and principal component analysis. HPLC method was used to determine the contents of 8 active components, such as chlorogenic acid, puerarin, 3′-methoxypuerarin, daidzin, luteolin-7-
O
-
β
-D-glucuronide, isochlorogenic acid A, and apigenin-7-
O
-
β
-D-glucuronide and isochlorogenic acid C.
RESULTS
2
There were 26 common peaks in the fingerprints of 10 batches of Compound huiqin granules, the similarity was greater than 0.900, and 11 peaks were identified, which were gallic acid, neochlorogenic acid, chlorogenic acid, puerarin, 3′-methoxypuerarin, daidzin, luteolin-7-
O
-
β
-D glucuronide, isochlorogenic acid A, apigenin-7-
O
-
β
-D-glucuronide, isochlorogenic acid C and daidzein. The results of cluster analysis and principle component analysis showed that 10 batches of Compound huiqin granules could be clustered into 4 categories, in which S2, S3 and S6 belonged to one category, S4, S8, S10 belonged to one category, S7 belonged to one category, and S1, S5, S9 belonged to one category. Average contents of 8 active components were 1.30, 17.42, 3.51, 3.57, 0.75, 0.41, 0.31, 0.32 mg/g, respectively.
CONCLUSIONS
2
In this study, the fingerprints and multi-component content determination method of Compound huiqin granules are successfully established, which can provide a basis for the quality control of the granules.
复方茴芹颗粒高效液相色谱法指纹图谱含量测定化学模式识别
high-performance liquid chromatography methodfingerprintcontent determinationchemical pattern recognition
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