Simultaneous determination of bosentan and its three major metabolites in various biological matrices and species using narrow bore liquid chromatography with ion spray tandem mass spectrometric detection

被引:32
作者
Lausecker, B [1 ]
Hess, B [1 ]
Fischer, G [1 ]
Mueller, M [1 ]
Hopfgartner, G [1 ]
机构
[1] F Hoffmann La Roche & Co Ltd, Div Pharmaceut, Non Clin Dev Drug Safety, CH-4070 Basel, Switzerland
来源
JOURNAL OF CHROMATOGRAPHY B | 2000年 / 749卷 / 01期
关键词
bosentan; LC-MS-MS; quantitative analysis; sulfonamide drugs; bioanalysis;
D O I
10.1016/S0378-4347(00)00386-8
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
An analytical method was developed for the determination of bosentan and its three main metabolites in various matrices and species with focus on robustness. The drug assay involved protein precipitation, followed by liquid-liquid extraction and column switching in combination with narrow bore HPLC-MS-MS. Deuterated analogues of the analytes were used as internal standards. The sample preparation procedure was optimised with respect to minimise the suppression effects from different matrices. The drug and its metabolites could be analysed in plasma, serum, bile, and liver samples from man, dog, and rat with a run cycle time of 10 min. The method used always calibration samples made up in human plasma, whereas quality control samples were prepared in human plasma as well as in the identical matrix as the unknown samples. Calibration graphs for the drug and for the metabolites were linear in the range from 1 or 2 to 2000 or 10 000 ng/ml using a sample volume of 0.25 ml. Mean inter-assay precision and accuracy were 3.0% and 98.4%, respectively. Two additional methods were derived from the main method for the analysis of plasma samples only with focus on reduced manual effort and instrumental run cycle time. The modified methods showed a mean inter-assay precision and accuracy of 5.0% and 99.9% for the method using column-switching, and 3.5% and 98.8% for the method using off-line SPE, respectively. All methods proved to be robust, sensitive, and selective during the analysis of several thousand samples. (C) 2000 Elsevier Science BN. All rights reserved.
引用
收藏
页码:67 / 83
页数:17
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