Study on HPLC Fingerprint of Lianhua Qingwen Capsule Based on Chemical Recognition Pattern Method
10.13748/j.cnki.issn1007-7693.20224305
- VernacularTitle:基于化学模式识别法的连花清瘟胶囊HPLC指纹图谱研究
- Author:
Qianqian ZHOU
1
;
Yan LI
2
;
Yuanfang HOU
2
;
Dan HE
3
;
Lin YANG
4
Author Information
1. College of Pharmacy, Shihezi University/Key Laboratory of Xinjiang Phytomedicine Resource and Utilization, Ministry of Education, Shihezi 832003, China
2. Chongqing Medical and Pharmaceutical College, Chongqing 401331, China
3. College of Pharmacy, Chongqing Medical University, Chongqing 400016, China
4. Chongqing Medical and Pharmaceutical College, Chongqing 401331, China；Chongqing Engineering Research Center of Pharmaceutical Sciences, Chongqing 401331, China
- Publication Type:Journal Article
- Keywords:
Lianhua Qingwen capsule；HPLC ； fingerprint ； chemical recognition patterns
- From:
Chinese Journal of Modern Applied Pharmacy
2024;41(12):1709-1716
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE :To establish the fingerprint of Lianhua Qingwen capsule(LHQW) with the HPLC method, and to evaluate the quality by combining with chemical pattern recognition method.
METHODS
The chromatographic separation was performed on an Agilent Zorbax SB-C18(250 mm×4.6 mm, 5 μm) column with 0.1% phosphoric acid(A)-acetonitrile(B) as the mobile phase for the gradient elution. The detection wavelength was set at 207 nm. The flow rate was set at 1.0 mL·min–1 and the column temperature was 30 ℃. Similarity evaluation, hierarchical clustering analysis(HCA), radar plot analysis, principal component analysis(PCA), and orthogonal partial least-squares discrimination analysis(OPLS-DA) were used for the further assessment of 13 batches of LHQW samples.
RESULTS
The fingerprint of LHQW was established with 40 common peaks, in which 10 common peaks were identified, and the similarities of 13 batches of LHQW samples were 0.947–1.000. By applying chemical pattern recognition methods such as HCA, and OPLS-DA, 13 batches of samples were classified into three clusters, and the results of classification were correlated with the production date. And 8 major chemical markers causing quality differences were screened.
CONCLUSION
With good reproducibility and stability, this method could provide the reference for the quality evaluation of LHQW．
