ABSTRACT
Objective:To study the qualitative identification and quantitative analysis of Paeoniae radix Rubra in Fufang Fuqing lotion. Methods:TLC was used to identify Paeoniae radix Rubra. The content of paeoniflorinl was determined by HPLC. The mobile phase was acetonitrile-0. 01% phosphonic acid (13 ∶87), and the detection wavelength was 230 nm,the flow rate was 1. 0ml·min-1, the column temperature was 40℃,and the sample size was 10μl. Results:The results of TLC showed that the relevant spots were clear without any interference from the negative sample. The calibration curve of paeoniflorinl was linear within the range of 0. 070-4. 500 μg (r=1. 000 0). The average recovery was 98. 36% with RSD of 2. 73%(n=6). Conclusion:The methods are accurate and quick in the qualitative identification and quantitative assay of the preparation, which can be used for the quality control of Fufang Fuqing lo-tion.
ABSTRACT
Objective To establish the quality standard of Qingshen Granules. Methods Thin-layer chrmatography was used to identify Rheum officinale Baill., Hedyotis Diffusa Wild. and Coptis chinensis Franch.. The contents of rhein, emodin and chrysophanol were determined by HPLC. The HPLC consisted of Kromasil C18 (4.6 mm×250 mm, 5 μm), methanol-0.1% phosphonic acid (70∶30) as mobile phase, flow rate of 1.0 mL/min, detection wavelength at 245 nm, and the column temperature was 30 ℃. Results The results of TLC showed that relevant spots were clear without interference against the negative sample. The calibration curves for rhein, emodin and chrysophanol were found to be linear within the range of 0.003 3-0.42 μg (r =0.999 9), 0.008 0-0.51 μg (r=1.000 0), 0.009 9-0.32 μg (r=1.000 0), respectively. The average recoveries were 98.84%, 99.04% and 100.35% with RSD of 1.30% (n=6), 1.34% (n=6) and 1.89% (n=6), respectively. Conclusion The methods are accurate and quick in qualitative identification and quantitative assay, and can be used for the quality control of Qingshen Granules.
ABSTRACT
This study aims to save cost of sampling for estimating the area under the amlodipine plasma concentration versus time curve in 24 hours (AUC(0-24 h)). Limited sampling strategy (LSS) models was developed and validated by mutiple regression model within 4 or fewer amlodipine concentration values. Absolute prediction error (APE), root of mean square error (RMSE) and visual predict check were used as criterion. The results of Jackknife validation showed that fifteen (9.4%) of the 160 LSS based on regression analysis were not within an APE of 15% by using one concentration-time point. 156 (97.5%), 159 (99.4%) and 160 (100%) of the 160 LSS model were capable of predicting within an APE 15% by using 2, 3, 4 points, separately. Limited sampling strategies have been developed and validated for estimating AUC(0-24 h) of amlodipine. The present study indicated that the implemention of both 5 mg and 10 mg dosage could enable accurate predictions of AUC(0-24 h) by the same LSS model. This study shows that 12, 4, 24, 2 h after administration are key sampling time points. The combination of (12, 4), (12, 4, 24) or (12, 4, 24, 2 h) might be chosen as sampling hours for predicting AUC(0-24 h) in practical application according to requirement.