Singh Bhupinder, Chakkal Sukhwinder Kaur, Ahuja Naveen
University Institute of Pharmaceutical Sciences, Panjab University, 160 014, Chandigarh, India.
Ranbaxy Research Laboratories, Udyog Vihar, Gurgaon, India.
AAPS PharmSciTech. 2006 Mar;7(1):E19-E28. doi: 10.1208/pt070103. Epub 2017 Mar 8.
The aim of the current study was to design oral controlled release mucoadhesive compressed hydrophilic matrices of atenolol and to optimize the drug release profile and bioadhesion using response surface methodology. Tablets were prepared by direct compression and evaluated for bioadhesive strength and in vitro dissolution parameters. A central composite design for 2 factors at 3 levels each was employed to systematically optimize drug release profile and bioadhesive strength. Carbopol 934P and sodium carboxymethylcellulose were taken as the independent variables. Response surface plots and contour plots were drawn, and optimum formulations were selected by feasibility and grid searches. Compressed matrices exhibited non-Fickian drug release kinetics approaching zero-order, as the value of release rate exponent (n) varied between 0.6672 and 0.8646, resulting in regulated and complete release until 24 hours. Both the polymers had significant effect on the bioadhesive strength of the tablets, measured as force of detachment against porcine gastric mucosa (P<.001). Polynomial mathematical models, generated for various response variables using multiple linear regression analysis, were found to be statistically significant (P<.01). Validation of optimization study, performed using 8 confirmatory runs, indicated very high degree of prognostic ability of response surface methodology, with mean percentage error (±SD) as -0.0072±1.087. Besides unraveling the effect of the 2 factors on the various response variables, the study helped in finding the optimum formulation with excellent bioadhesive strength and controlled release.
本研究的目的是设计阿替洛尔口服控释粘膜粘附压缩亲水基质,并使用响应面法优化药物释放曲线和生物粘附性。通过直接压片制备片剂,并评估其生物粘附强度和体外溶出参数。采用二因素三水平的中心复合设计,系统优化药物释放曲线和生物粘附强度。以卡波姆934P和羧甲基纤维素钠作为自变量。绘制响应面图和等高线图,并通过可行性和网格搜索选择最佳配方。压缩基质表现出接近零级的非菲克药物释放动力学,释放速率指数(n)值在0.6672至0.8646之间变化,导致药物在24小时内实现可控且完全释放。两种聚合物对片剂的生物粘附强度均有显著影响,以对猪胃粘膜的分离力衡量(P<0.001)。使用多元线性回归分析为各种响应变量生成的多项式数学模型具有统计学意义(P<0.01)。使用8次验证运行进行的优化研究验证表明,响应面法具有很高的预测能力,平均百分比误差(±标准差)为-0.0072±1.087。除了揭示这两个因素对各种响应变量的影响外,该研究还有助于找到具有优异生物粘附强度和控释性能的最佳配方。