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Application of Box-Behnken Design for Validation of High-Performance Thin-Layer Chromatography/Densitometry Method for Robustness Determination of Apremilast in Bulk and in house Tablets

机译:Box-Behnken设计在验证高效薄层色谱/密度测定法在确定散装和室内片剂中菊粉的稳健性中的应用

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Background: Apremilast is small molecule inhibitor of phosphodiesterase- 4 (PDE-4) and an immunomodulating agent which is used for management of refractory psoriatic arthritis. Material and Methods: High- Performance Thin-Layer Chromatography (HPTLC) method for the analysis of apremilast was developed and validated as per ICH guidelines. Apremilast was chromatographed on silica gel 60 F254 TLC plates using toluene: methanol (8:2 v/v ) as a mobile phase. A Compact spot for apremilast was observed with Rf 0.64 ± 0.05, when the densitometric scanning was implemented at 230 nm. The linear regression analysis data for the calibration plots showed r2 0.99 with a concentration range from 250 – 1500 ng/band. ‘Design of Experiments’ (DoE) employing ‘Box-Behnken Design’ (BBD) and ‘Response Surface Methodology’ (RSM) were studied as an advancement to traditional ‘One Variable at Time’ (OVAT) approach to assess the effects of variations in selected factors particularly (development distance, saturation time, activation time of plate and mobile phase ratio) as graphical interpretation for robustness. The statistical insight was achieved with Multiple Linear Regression (MLR) and ANOVA. Results: The method was validated for precision, accuracy, detection limit and quantitation limit, and robustness. Conclusion: The method was successfully employed for the determination of apremilast from its in-house tablet formulation.
机译:背景:Apremilast是磷酸二酯酶4(PDE-4)的小分子抑制剂,是一种免疫调节剂,用于治疗难治性银屑病关节炎。材料和方法:高效薄层色谱法(HPTLC)用于阿米司特的分析,并根据ICH指南进行了验证。在硅胶60 F254 TLC板上,使用甲苯:甲醇(8:2 v / v)作为流动相进行色谱层析。当在230 nm处进行光密度扫描时,观察到了一个用于apremilast的致密斑点,Rf为0.64±0.05。校正图的线性回归分析数据显示,r2> 0.99,浓度范围为250 – 1500 ng / band。研究了采用“ Box-Behnken设计”(BBD)和“响应表面方法”(RSM)的“实验设计”(DoE),作为对传统“时间变量”(OVAT)方法的改进,以评估变化的影响特别是在选定的因素(显影距离,饱和时间,板的活化时间和流动相比率)中作为鲁棒性的图形解释。使用多元线性回归(MLR)和ANOVA进行统计分析。结果:该方法的准确性,准确性,检测限和定量限以及稳健性均得到验证。结论:该方法已成功地用于其内部片剂中阿米司特的测定。

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