Evaluation of the quality of Jingangteng capsules based on UPLC fingerprinting combined with multi-component content determination
- VernacularTitle:UPLC指纹图谱结合多成分含量测定评价金刚藤胶囊质量
- Author:
Li SHEN
1
;
Yue SHEN
1
;
Yuying YANG
1
;
Dandan ZHANG
2
;
Yuxi WU
1
;
Xuxiang ZHOU
1
;
Jingyu YANG
1
;
Peng HU
1
;
Lei WANG
3
;
Heming WU
3
;
Dan LIU
4
;
Xiaochuan YE
1
Author Information
1. Hubei Key Laboratory of Resources and Chemistry of Chinese Medicine，School of Pharmacy，Hubei University of Chinese Medicine，Wuhan 430065，China
2. Hubei Key Laboratory of Diabetes and Angiopathy，School of Pharmacy，Hubei University of Science and Technology，Hubei Xianning 437099，China
3. Hubei Furen Pharmaceutical Co.，Ltd.，Hubei Xianning 437400，China
4. Hubei Key Laboratory of Resources and Chemistry of Chinese Medicine，School of Pharmacy，Hubei University of Chinese Medicine，Wuhan 430065，China;Hubei Shizhen Laboratory，Wuhan 430065，China
- Publication Type:Journal Article
- Keywords:
Jingangteng capsules;
fingerprint;
content determination;
UPLC;
chemical pattern recognition analysis
- From:
China Pharmacy
2026;37(10):1290-1294
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To establish the UPLC fingerprint and the method for multi-component content determination in Jingangteng capsules， and to evaluate its quality by combining chemical pattern recognition analysis. METHODS An UPLC method was established. Separation was performed on a Zorbax SB-C 18 Rapid Resolution HD column， with acetonitrile-0.1% formic acid as the mobile phase for gradient elution.Using the Similarity Evaluation System for Chromatographic Fingerprints of Traditional Chinese Medicines （2012 edition）， UPLC fi ngerprints were established for 10 batches of Jingangteng capsules， and similarity was evaluated. SPSS 22.0 and SIMCA 14.1 software were used to perform hierarchial-cluster analysis and orthogonal partial least squares discriminant analysis （OPLS-DA）， respectively. The same UPLC method was employed to determine the contents of chlorogenic acid， 3，5-dihydroxy-2-methylbenzoic acid-3- O -glucoside （M1）， caffeic acid， astilbin， oxyresveratrol， quercitrin and resveratrol in the 10 batches of samples. RESULTS A total of 17 common peaks were identified in UPLC fingerprints of the 10 batches of samples， of which 7 were identified as chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol. The similarities of 10 batches of samples ranged from 0.820 to 0.985. The results of hierarchial-cluster analysis showed that 10 batches of samples were grouped into four categories： S1-S4 formed one group， S5 and S6 formed another， S7， S8 and S10 formed a third， and S9 formed a fourth， consistent with the OPLS-DA results； the variable importance projection values for peaks 7， 10， 2， 16 （resveratrol）， 13 （oxyresveratrol）， 11， 6 （caffeic acid）， 5 （M1） and 15 （quercitrin） were ＞1. Quantitative analysis results showed that the contents of chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol were 1.650 8-4.213 7， 0.636 2-2.161 7， 0.031 0-0.086 5， 0.239 1-1.069 3， 0.211 9-1.104 0， 0.488 8-2.399 2， and 0.164 0-0.699 8 mg/g， respectively. CONCLUSIONS UPLC fingerprint and content determination methods established in this study are simple to operate， accurate， reliable and reproducible； when combined with chemical pattern recognition analysis， they can be used to evaluate the quality of Jingangteng capsules. Nine components， such as resveratrol， oxyresveratrol， caffeic acid， M1 and quercitrin， may serve as markers of quality variation.
