ABSTRACT
Objective: To establish HPLC and multiple components determination method of Sarcandrae Herba Dispensing Granules (SHDG), in order to compare the difference of the quality in various SHDG samples and provide an effective method to ensure the quality of SHDG. Methods: HPLC-UV method was used to establish the characteristic chromatogram of SHDG, and acetonitrile-0.2% formic acid solution was used as the mobile phase with the gradient elution. The common peaks were identified by comparison with the reference standards and HPLC-Q/TOF. At the same time, the method for simultaneous determination of chlorogenic acid, isofraxidin, and rosmarinic acid was established with the same approach. Chemometrics software Chempattern was employed to analyze the data. Through cluster analysis and principal component analysis, different preparations from different manufacturers and different batches from the same manufacturer were classified, and the main components causing the differences were clarified. Results: The SHDG fingerprint was established to confirm and identify seven characteristic peaks, namely, neochlorgenic acid, chlorogenic acid, cryptochlorogenic acid, caffeic acid, isofraxidin, rosmarinic acid-4-O-β-D-glucoside, and rosmarinic acid. The main chromatographic peaks of SHDG can be completely separated within 55 min. There was a good linear relationship between the peak area and concentration of chlorogenic acid, isofraxidin, and rosmarinic acid. The average recovery rates were 98.92% (RSD 1.54%), 98.20% (RSD 1.12%), and 99.58% (RSD 1.12%), respectively. The chlorogenic acid content of 18 batches of samples was 0.33-1.39 mg/g, the content of isocyanidine was 1.31-2.74 mg/g, and the content of rosmarinic acid was 1.11-4.54 mg/g. The similarity between 18 batches of samples and the common mode was 0.688-0.992. There were certain differences in the content of chlorogenic acid, isofraxidin, rosmarinic acid in the SHDG of various batches and manufacturers. Conclusion: The proposed specific HPLC characteristic chromatogram and quantitation method of three components for SHDG offered more comprehensive reference for quality control of the crude drug.
ABSTRACT
To establish the UPLC fingerprint for effective quality control of Sarcandrae Herba. The fingerprint of Sarcandrae Herba was developed with ultra-performance liquid chromatography, and the Acquity UPLC HSS T3 column (50 mm × 2.1 mm, 1.8 μm) was used in the gradient elution with a mobile phase of acetonitrile-water (both containing 0.1% formic acid): The flow rate was 0.5 mL/min, the column temperature was 35℃, and the detection wavelength was at 330 nm. Similarity evaluation combined with hierarchical clustering analysis (HCA) and principal components analysis (PCA) were used to evaluate the quality of herbs from different areas. The fingerprint of Sarcandrae Herba was established with good precision, reproducibility, and stability obtaining within 23 min, and nine peaks in the fingerprint were designed. Eighteen samples could be classified into two clusters. The PCA result was consistent with the HCA. A brief list of five differential compounds is presented, including rosmarinic acid, newchlorogenic acid, and so on. The establishment of UPLC fingerprint of Sarcandrae Herba and the application of chemical pattern recognition can provide a more comprehensive reference for the quality control of herbs.
ABSTRACT
Objective: To investigate the correlations between micromeritic primary properties and compactibility of granules produced by wet granulation of Sarcandrae Herba with soluble starch and microcrystalline cellulose (MCC). Methods: Micromeritic primary properties and compactibility of granules produced by wet granulation which was obtained by different prescriptions and processes were determined. Particle size (D90), specific surface area (SSA), pore volume (PV), moisture content (MC), bulk density (BD), tap density (TD), tap index (TI), angle of repose (AOR), and Kawakita equation parameters a and b were used as evaluation indexs to study the micromeritic primary properties of granulation. The tensile strengths of granules at 5, 10, 15, 20, 25, and 30 kN pressure were used as the indexs to evaluate the compactibility of granules produced. Multivariate analysis was applied to evaluating the correlations between micromeritic primary properties and compactibility of granules produced. Results: The micromeritic primary properties of granules could be extracted as two principal components, morphology parameter and compressibility parameter. The significant effects on the tablet compactibility are the compressibility, moisture, and surface morphology of granules produced. Conclusion: Multivariate data analysis could make the quick and easy classification of Sarcandrae Herba Granule. The correlation between granules micromeritic primary properties and tablet compactibility is given. By controlling compressibility, moisture, and surface morphology of granules produced, the tablets with good compactibility can be obtained.