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Development and characterization of solid dispersion of piroxicam for improvement of dissolution rate using hydrophilic carriers

机译:吡罗昔康固体分散体的开发和表征以利用亲水性载体提高溶解速度

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摘要

Introduction: The main objective of this study was preparation and characterization of solid dispersion of piroxicam to enhance its dissolution rate. Methods: Solid dispersion formulations with different carriers including crospovidone, microcrystalline cellulose, Elaeagnus angustifolia fruit powder, with different drug to carrier ratios were prepared employing cogrinding method. Dissolution study of the piroxicam powders, physical mixtures and solid dispersions was performed in simulated gastric fluid and simulated intestinal fluid using USP Apparatus type II. The physical characterization of formulations were analyzed using powder X ray diffraction (PXRD), particle size analyzer and differential scanning calorimetry (DSC). Interactions between the drug and carriers were evaluated by Fourier transform infrared (FT-IR) spectroscopic method. Results: It was revealed that all of three carriers increase the dissolution rate of piroxicam from physical mixtures and especially in solid dispersions compared to piroxicam pure and treated powders. PXRD and DSC results confirmed the reduction of crystalline form of piroxicam. FT-IR analysis did not show any physicochemical interaction between drug and carriers in the solid dispersion formulations. Conclusion: Dissolution rate was dependent on the type and ratio of drug to carrier as well as pH of dissolution medium. Dissolution data of formulations were fitted well into the linear Weibull as well as non-linear logistic and suggested models.
机译:简介:这项研究的主要目的是制备和表征吡罗昔康的固体分散体,以提高其溶出度。方法:采用共研磨法制备了具有不同载体的交联剂,包括交联聚维酮,微晶纤维素,桔梗果粉,药物与载体的比例不同。使用USP II型装置在模拟胃液和模拟肠液中对吡罗昔康粉末,物理混合物和固体分散体进行了溶出度研究。使用粉末X射线衍射(PXRD),粒度分析仪和差示扫描量热法(DSC)分析制剂的物理表征。药物和载体之间的相互作用通过傅立叶变换红外(FT-IR)光谱法进行评估。结果:揭示了与吡罗昔康纯和处理过的粉末相比,三种载体均提高了吡罗昔康从物理混合物中的溶解速率,特别是在固体分散体中。 PXRD和DSC结果证实吡罗昔康的晶型减少。 FT-IR分析未显示固体分散体制剂中药物与载体之间的任何物理化学相互作用。结论:溶出度取决于药物与载体的类型和比例以及溶出介质的pH值。将制剂的溶出度数据很好地拟合到线性威布尔以及非线性逻辑模型和建议模型中。

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