ABSTRACT
OBJECTIVE:To explore the similarity of dissolution profiles of self-development and original preparation of Solife-nacin succinate tablet,and provide reference for the prescription and process screening of the former one and the quality similarity evaluation of the latter one. METHODS:The paddle method was adopted with rotational speed of 50 r/min,using water,pH1.2 hy-drochloric acid solution,pH4.0 acetate buffer solution and pH6.8 phosphate buffer solution as dissolution media,HPLC was used to determine the cumulative dissolution of main components of self-development and original preparation of Solifenacin succinate tablet at different time points,dissolution profile was drew,then f2 was used to evaluate its similarity. RESULTS:In the 4 dissolu-tion media,the f2 of both self-development and original preparation of Solifenacin succinate tablet was higher than 50,which indi-cated that the dissolution profiles showed similarity. CONCLUSIONS:The established HPLC is suitable for the dissolution determi-nation of Solifenacin succinate tablet;the dissolution profiles of the self-development and original preparations are basically simi-lar,which indicates the prescription and technology of self-development preparation are feasible.
ABSTRACT
<p><b>OBJECTIVE</b>To optimize the extracting process of ethanol extract with hypouricemic effect from Rhizoma Alismatis.</p><p><b>METHOD</b>Orthogonal design was utilized to optimize the preparing conditions including the concentration of ethanol, amount of ethanol, extraction times and extraction duration per time while alisol B 23-acetate was selected as the evaluation index. Both the alisol B 23-acetate and the serum uric acid levels were measured by HPLC.</p><p><b>RESULT</b>The ethanol extract had hypouricemic action. Only extraction times had significant effect on the content of alisol B 23-acetate in ethanol extract.</p><p><b>CONCLUSION</b>The optimal extraction process is to extract two times using sevenfold 70% ethanol and 1 h per time.</p>
Subject(s)
Animals , Humans , Mice , Alismataceae , Chemistry , Chemical Fractionation , Methods , Disease Models, Animal , Ethanol , Chemistry , Hyperuricemia , Blood , Drug Therapy , Plant Extracts , Rhizome , Chemistry , Uric Acid , Blood , Uricosuric AgentsABSTRACT
<p><b>OBJECTIVE</b>To study the influence of the different combinations of the main active parts in Yangyintongnao granule on the pharmacokinetics parameters of the two active components--ligustrazine and puerarin using the method of total amount statistic moment for pharmacokinetics.</p><p><b>METHOD</b>Combinations were formed according to the dosages of the four active parts (alkaloid, flavone, saponin, naphtha) by orthogonal experiment L9 (3(4)). Blood concentrations of ligustrazine and puerarin were determinated by HPLC at different time. Zero rank moment (AUC) and one rank moment (MRT, mean residence time) of ligustrazine and puerarin have been worked out to calculate the total amount statistic moment parameters was analyzed of Yangyintongnao granule by the method of the total amount statistic moment. The influence of different compatibilities on the pharmacokinetics parameters was analyzed by orthogonal test.</p><p><b>RESULT</b>Flavone has the strongest effect than saponin on the total AUC. Ligustrazine has the strongest effect on the total MRT. Saponin has little effect on the two parameters, but naphtha has more effect on both of them. It indicates that naphtha may promote metabolism of ligustrazine and puerarin in rat.</p><p><b>CONCLUSION</b>Total amount statistic moment parameters can be used to guide for compatibilities of TCM.</p>
Subject(s)
Animals , Humans , Male , Rats , Data Interpretation, Statistical , Disease Models, Animal , Dose-Response Relationship, Drug , Drugs, Chinese Herbal , Pharmacokinetics , Random Allocation , Rats, Sprague-Dawley , Reperfusion Injury , Drug TherapyABSTRACT
AIM To predict skin permeability of drugs with theoretical parameters. METHODS The semiempirical self-consistent field molecular calculation AM1 method is utilized to obtain the structural parameters of drug molecules. Stepwise multiple regression analysis or BP neural network is then utilized to establish the correlation between skin permeability of drugs and their structural parameters. RESULTS The calculated human skin permeability coefficients (kp) of 22 model drugs in vitro or the R values (R=absorbed/unabsorbed) of 17 drugs in vivo are in good agreement with their observed values. CONCLUSION Theoretical parameters can be used to predict skin permeability of drugs.