Soni T, Chotai N
Department of Pharmaceutics, Anand Pharmacy College, Sardar Patel University, Anand, Gujarat, India.
J Young Pharm. 2010 Jan;2(1):21-6. doi: 10.4103/0975-1483.62208.
Statistical comparison of dissolution profiles under a variety of conditions relating to formulation characteristics, lot-to-lot, and brand-to-brand variation attracts interest of pharmaceutical scientist. The objective of this work is to apply several profile comparison approaches to the dissolution data of five-marketed aceclofenac tablet formulations. Model-independent approaches including ANOVA-based procedures, ratio test procedure, and pair wise procedure. The ratio test includes percentage, area under the curve, mean dissolution time, while the pair wise procedure includes difference factor (f(1)), similarity factor (f(2)), and Rescigno index. In the model-dependent approach, zero order, first order, Hixson-Crowell, Higuchi, and Weibull models were applied to the utilization of fit factors. All the approaches were applicable and useful. ANOVA with multiple comparison tests was found to be sensitive and discriminating for comparing the profiles. Weibull parameters were more sensitive to the difference between two release kinetic data in terms of curve shape and level.
在与制剂特性、批次间以及品牌间差异相关的各种条件下,溶出曲线的统计比较引起了药物科学家的兴趣。这项工作的目的是将几种曲线比较方法应用于五种市售醋氯芬酸片剂制剂的溶出数据。非模型依赖方法包括基于方差分析的程序、比率检验程序和成对程序。比率检验包括百分比、曲线下面积、平均溶出时间,而成对程序包括差异因子(f(1))、相似性因子(f(2))和雷西格诺指数。在模型依赖方法中,零级、一级、希克森-克劳威尔、 Higuchi 和威布尔模型被应用于拟合因子的利用。所有这些方法都是适用且有用的。发现带有多重比较检验的方差分析对于比较曲线是敏感且有区分力的。就曲线形状和水平而言,威布尔参数对两个释放动力学数据之间的差异更敏感。