Formulation variable study and optimization of taste masked mouth dissolving tablets using design of experiment

V. Sharma, L. Singh
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引用次数: 2

Abstract

Background: Aim of present work is to prepare and optimized mouth dissolving tablets (MDTs) by using tasteless complex of levocetirizine. Materials and Methods: Formulation and optimization of tablets was done by using computer optimization technique. Formulated taste masked complex of drug was characterized by taste evaluation, percentage drug loading, thermal analysis and X-ray diffraction pattern. Optimization of MDTs was done by considering concentration of binder (polyvinylpyrrolidone [PVP] K30) and super-disintegrant (Kyron T-314) as independent variables whereas wetting time (WT), friability (Fr) and amount of drug release in 15 m (Q 15 ) as dependent variables. Response surface plots and contour plots were drawn, and optimum formulations were selected by feasibility and grid searches. Result and Discussion: By using 3 2 central composite design (CCD) optimized batch was obtained for which value of independent variable, PVP K30 (X1) and Kyron T-314 (X2) was 15 mg and 21 mg respectively and for dependent response, that is, Fr, WT and Q 15 to be 0.42%, 11.8 s. and 91.16% respectively. Validation of optimization study indicated very high degree of prognostic ability of response surface methodology (RSM). By analyzing the observed value to predicted value for Fr, WT and Q 15 the regression coefficient value was found to be 0.950, 0.961 and 0.957. Linearity of plot concluded that desired predicted response of all check-point batches were close to the predicted values and show the validity of data. Conclusion: Hence, optimized formulated batches were formulated by proper balancing of concentration of independent variables to attain desired dependent response using 3 2 CCD. Thus, 3 2 CCDs is an efficient tool in optimization experiments. High degree of outcome obtained using RSM concludes that 3 2 CCD is quite efficient in optimizing drug delivery systems that exhibit nonlinearity in response.
用实验设计法对味掩口溶片的配方变量进行研究与优化
背景:利用无味的左西替利嗪复配物制备口腔溶出片并对其进行优化。材料与方法:采用计算机优化技术对片剂的处方进行优化。通过口感评价、载药量百分比、热分析和x射线衍射等方法对配制的掩味复合物进行表征。以黏结剂(聚乙烯吡咯烷酮[PVP] K30)浓度和超崩解剂(Kyron T-314)浓度为自变量,以润湿时间(WT)、脆性(Fr)和15 m内药物释放量(Q 15)为因变量,对MDTs进行优化。绘制响应面图和等高线图,通过可行性搜索和网格搜索选择最优配方。结果与讨论:采用32个中心复合设计(CCD),获得了自变量PVP K30 (X1)和Kyron T-314 (X2)分别为15 mg和21 mg,依赖响应为Fr、WT和q15分别为0.42%、11.8 s和91.16%的优化批次。优化研究的验证表明响应面法(RSM)具有很高的预测能力。通过对Fr、WT和q15的观测值与预测值进行分析,回归系数分别为0.950、0.961和0.957。图的线性关系表明,各检查点批次的期望预测响应接近预测值,表明数据的有效性。结论:通过合理平衡各自变量的浓度,通过32 - 2 CCD获得所需的依赖响应,可优选出最佳制剂批次。因此,3.2 ccd是优化实验的有效工具。使用RSM获得的高程度结果表明,32 CCD在优化具有非线性响应的给药系统方面非常有效。
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