Quality evaluation of Qingwen hufei granules based on fingerprints combined with multi-component content determination
- VernacularTitle:基于指纹图谱和多成分含量测定的清瘟护肺颗粒质量评价
- Author:
Huiying ZHOU
1
;
Yuan WANG
1
;
Yani WANG
1
;
Yun YANG
2
;
Bo WANG
2
;
Shuanzhu YANG
3
;
Liping CAO
3
;
Hong ZHANG
1
;
Kaihua LONG
1
Author Information
1. Institute of Chinese Materia Medica，Shaanxi Academy of Traditional Chinese Medicine，Xi’an 710003，China
2. College of Life Sciences，Northwest University，Xi’an 710069，China
3. Dept. of Pulmonary Disease，Shaanxi Provincial Hospital of Chinese Medicine，Xi’an 710003，China
- Publication Type:Journal Article
- Keywords:
Qingwen hufei granules;
high-performance liquid chromatography;
fingerprint;
cluster analysis;
principal
- From:
China Pharmacy
2026;37(3):338-343
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To provide a scientific basis for the quality evaluation and clinical application of Qingwen hufei granules. METHODS Fourteen batches of Qingwen hufei granules were used as samples to establish high-performance liquid chromatography （HPLC） fingerprints using the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （2012 Edition）. The chromatographic peaks were identified and the similarity was evaluated. Cluster analysis （CA）， principal component analysis （PCA）， and orthogonal partial least squares-discriminant analysis （OPLS-DA） were used to conduct chemical pattern recognition analysis on the 14 batches of samples. Meanwhile， the contents of neochlorogenic acid （NGA）， chlorogenic acid （CHA）， cryptochlorogenic acid （CGA）， forsythoside A （FTA）， 3，5-O-dicaffeoylquinic acid （3，5-O- DA）， 4，5-O-dicaffeoylquinic acid （4，5-O-DA）， and angoroside C （AGC） in the samples were determined by HPLC. RESULTS The methodological investigation results of both the fingerprint and the content determination complied with the relevant requirements. Fourteen common peaks were indicated in the HPLC fingerprints of the 14 batches of samples， and 7 of them were identified [NGA （peak 2）， CHA （peak 3）， CGA （peak 5）， FTA （peak 11）， 3，5-O-DA （peak 12）， 4，5-O-DA （peak 13）， and AGC （peak 14）]； the similarity of each sample was greater than 0.94. The results of CA and PCA showed that the samples could be classified into 3 categories； the results of OPLS-DA indicated that peak 4 （unknown）， peak 11 （FTA）， peak 8 （unknown）， peak 9 （unknown）， and peak 1 （unknown） were the differential components. The content ranges of NGA， CHA， CGA， 3，5-O-DA， FTA， 4，5-O-DA and AGC in the 14 batches of samples were 0.210 4-0.458 7， 0.269 1-0.506 3， 0.228 1-0.461 1， 0.443 9-1.044 6， 0.066 7-0.155 7， 0.062 8-0.143 8， and 0.057 4-0.105 7 mg/g， respectively. CONCLUSIONS The HPLC fingerprint and multi-component content determination methods established in this study are efficient and reliable， and can be used for the quality evaluation of Qingwen hufei granules.
