Study on fingerprints of Siji Sanhuang Tablets-medicinal materials based on peak pattern matching
10.7501/j.issn.0253-2670.2014.21.010
- Author:
Hai-Hong ZHANG
1
Author Information
1. Department of Pharmacy, Hebei North University
- Publication Type:Journal Article
- Keywords:
Cluster analysis;
Fingerprint;
HPLC;
Quality control;
Siji Sanhuang Tablets;
Similarity
- From:
Chinese Traditional and Herbal Drugs
2014;45(21):3087-3091
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To establish high performance liquid chromatography (HPLC) fingerprints of Siji Sanhuang Tablets (SST) and study the characteristic peaks identification and preparations-medicinal materials peak pattern matching. Methods: Similarity on 10 batches of SST from three manufacturers was estimated, and peak pattern matching of the original medicine was conducted. Sample extraction with methanol in ultrasonic condition (100 kHz, 30 min, 25℃) was carried out. HPLC-Diode Array Detector methods were developed to determine, detection wave length was set at 254 nm, HPLC mobile phase consisted of methanol-0.1% phosphoric acid aqueous solution (gradient elute), volume flow-rate was delivered at 0.8 mL/min, and column temperature was kept at 25℃. Similarity measures such as included angle cosine and correlation coefficient were tested. Ten batches of samples were analyzed by SPSS 16.0. Results: The results showed that 19 common peaks were defined, the peaks No. 1, 2, 4, 17, and 18 were geniposide, berberine hydrochloride, baicalin, emodin, and chrysophanol, respectively, and peak pattern matching showed that SST had 11, 6, 2, and 1 matching peaks with Rhei Radix et Rhizoma, Scutellariae Radix, Gardeniae Fructus, and Phellodendri chinensis Cortex, respectively. The peak No. 9 belonged to Rhei Radix et Rhizoma and Scutellariae Radix. The fingerprint similarity among the samples were all over 0.9. All the samples were classified into three categories. Conclusion: Peak matching fingerprints of preparations-medicinal materials established provide the effective methods for the identification and the quality control of SST.
