Chemical and Pharmaceutical Bulletin · 2008 · 18 citations · 18 references
PharmacyPharmaceutical AnalysisPharmacologyAnalytical ChemistryChromatographic AnalysisMass Spectrometric AnalysisAnalytical ChromatographyBioanalytical Method ValidationChromatographic Analysis Of PharmaceuticalsChromatographyLiquid ChromatographyMass SpectrometryLiquid Chromatography-mass SpectrometryLiquid Chromatography-mass Spectrometry AnalysisMass Spectrometric Drug AnalysisMass Spectrometric QuantificationMass Spectrometric ScreeningMultiple Reaction MonitoringPlackett-burman DesignsReversed-phase Columns
A rapid tandem mass spectrometric (MS-MS) method for the quantification of Oxcarbazepine (OXB) in human plasma using imipramine as an internal standard (IS) has been developed and validated. Chromatographic separation was achieved isocratically on a C18 reversed-phase column within 3.0 min, using a mobile phase of acetonitrile-10 mM ammonium formate (90 : 10 v/v) at a flow rate of 0.3 ml/min. Quantitation was achieved using multiple reaction monitoring (MRM) scan at MRM transitions m/z 253>208 and m/z 281>86 for OXB and the IS respectively. Calibration curves were linear over the concentration range of 0.2-16 mug/ml (r>0.999) with a limit of quantification of 0.2 mug/ml. Analytical recoveries of OXB from spiked human plasma were in the range of 74.9 to 76.3%. Plackett-Burman design was applied for screening of chromatographic and mass spectrometric factors; factorial design was applied for optimization of essential factors for the robustness study. A linear model was postulated and a 2(3) full factorial design was employed to estimate the model coefficients for intermediate precision. More specifically, experimental design helps the researcher to verify if changes in factor values produce a statistically significant variation of the observed response. The strategy is most effective if statistical design is used in most or all stages of the screening and optimizing process for future method validation of pharmacokinetic and bioequivalence studies.
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THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS
R. L. Plackett, J. P. Burman · Biometrika · 1946 · 3.8K citations
Statistical design of experiments as a tool in mass spectrometry
Leah S. Riter, Olga Vitek, Karen M. Gooding et al. · Journal of Mass Spectrometry · 2005 · 82 citations