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Plasma quinolone concentrations are not routinely measured in clinical practice.However,in order to optimize quinolone treatment,monitoring of plasma concentrations could sometimes be useful particularly in critically ill patients.In this study,anti-sparfloxacin antibody was obtained by immunizing rabbits with sparfloxacin conjugated with bovine serum albumin using isobutyl chloroformate method.After the assay procedure was optimized,the standard curve of sparfloxacin was established.The practical measuring range of the competitive ELISA extended from 5 ng/mL to 2 μtg/mL.The recovery rates and coefficients of variation for rat plasma,urine and tissues were 87.7-106.2％ and 4.8-15.3％,respectively.To demonstrate the potential of the ELISA,a preliminary pharmacokinetics and tissue distribution study of sparfloxacin in rats and quantitative analysis of sparfloxacin in several pharmaceuticals were performed and compared with high-performance liquid chromatography (HPLC).The experimental data indicated that the proposed method would be a valuable tool in therapeutic drug monitoring (TDM) for sparfloxacin.
RESUMO
Object To study on the structure of sapogenins from pod of Gleditsia sinensis Lam Methods Pod of G. sinensis was extracted with solvents and the constituents in the extraction isolated, after hydrolised completely, with the aid of flash chromatography to obtain 2 gledgenins Results The structures of the 2 gledgenins were proved to be 3 hydroxy 12 oleanen 28 oic acid and 3, 16 dihydroxy 12 oleanen 28 oic acid respectively as shown by IR, NMR, MS and crystallographic data The structures were further verified by acylation, methylation and followed by reaction with 3, 5 dinitro benzoyl chloride Conclusion New crystalline derivatives were obtained to provide further evidence of their structures
RESUMO
Objective To establish the analytical method for the fingerprint of Flos Chrysanthemi by HPLC and estimate the quality of Flos Chrysanthemi in various species from different habitats. Methods The gradient elution mode was applied in chromatographic separation,data can be treated by competitive layer neural network(NN) and pattern recognition be made for Flos Chrysanthemi samples of various species from different habitats.Results The analytical method of fingerprint for Flos chrysanthemi by HPLC was established,samples can be classified into five categories according to the recognition result.Conclusion The established fingerprint can be used for the identification and quality control of Flos Chrysanthemi.