2013
DOI: 10.1039/c2an36701g
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Development and validation of LC–MS/MS method for the quantitation of lenalidomide in human plasma using Box–Behnken experimental design

Abstract: For the determination of lenalidomide using carbamazepine as an internal standard, an ultra-fast stability indicating LC-MS/MS method was developed, validated and optimized to support clinical advancement. The samples were prepared by solid-phase extraction. The calibration range was 2-1000 ng mL(-1), for which a quadratic regression (1/x(2)) was best fitted. The method was validated and a 3(2) factorial was employed using Box-Behnken experimental design for the validation of robustness. These designs have thr… Show more

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Cited by 28 publications
(20 citation statements)
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“…for Piper betle were obtained as 1 and 1 whereas for Jatropha curcas were obtained as 1 and 0.9999 respectively. The compatibility of R 2 to R 2 means a good adaptation of the theoretical values for the experimental data of the model [35]. The model can be considered as a practical model for the prediction of the factors within the tested ranges.…”
Section: Box Behnken Design (Bbd)mentioning
confidence: 98%
“…for Piper betle were obtained as 1 and 1 whereas for Jatropha curcas were obtained as 1 and 0.9999 respectively. The compatibility of R 2 to R 2 means a good adaptation of the theoretical values for the experimental data of the model [35]. The model can be considered as a practical model for the prediction of the factors within the tested ranges.…”
Section: Box Behnken Design (Bbd)mentioning
confidence: 98%
“…There is increasing recognition of the value of design of experiment (DOE) implementation for the optimization of mass spectrometric response variables 15,16 . Response surface methodology (RSM) is a broadly used collection of mathematical and statistical modeling tools for the assessment of effects of multiple factors on one or more dependent variables, based upon the fit of a polynomial equation to experimental data, to simultaneously optimize those factors to achieve best system performance.…”
Section: Introductionmentioning
confidence: 99%
“…These difficulties can be addressed by using a multivariate optimization procedure [17]. Multivariate optimization method investigates the interaction between experimental variables efficiently and has been successfully applied for the optimization of liquid chromatographic tandem mass spectrometry analyses [18,19,20,21].…”
Section: Introductionmentioning
confidence: 99%