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缓释可生物降解固体脂质微粒:通过响应面法进行配方设计、评估及统计优化

Sustained release biodegradable solid lipid microparticles: Formulation, evaluation and statistical optimization by response surface methodology.

作者信息

Hanif Muhammad, Khan Hafeez Ullah, Afzal Samina, Mahmood Asif, Maheen Safirah, Afzal Khurram, Iqbal Nabila, Andleeb Mehwish, Abbas Nazar

机构信息

1Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan.

2Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan.

出版信息

Acta Pharm. 2017 Dec 20;67(4):441-461. doi: 10.1515/acph-2017-0034.

Abstract

For preparing nebivolol loaded solid lipid microparticles (SLMs) by the solvent evaporation microencapsulation process from carnauba wax and glyceryl monostearate, central composite design was used to study the impact of independent variables on yield (Y1), entrapment efficiency (Y2) and drug release (Y3). SLMs having a 10-40 μm size range, with good rheological behavior and spherical smooth surfaces, were produced. Fourier transform infrared spectroscopy, differential scanning calorimetry and X-ray diffractometry pointed to compatibility between formulation components and the zeta-potential study confirmed better stability due to the presence of negative charge (-20 to -40 mV). The obtained outcomes for Y1 (29-86 %), Y2 (45-83 %) and Y3 (49-86 %) were analyzed by polynomial equations and the suggested quadratic model were validated. Nebivolol release from SLMs at pH 1.2 and 6.8 was significantly (p < 0.05) affected by lipid concentration. The release mechanism followed Higuchi and zero order models, while n > 0.85 value (Korsmeyer- Peppas) suggested slow erosion along with diffusion. The optimized SLMs have the potential to improve nebivolol oral bioavailability.

摘要

为了通过溶剂蒸发微囊化工艺,以巴西棕榈蜡和单硬脂酸甘油酯制备载有奈必洛尔的固体脂质微粒(SLMs),采用中心复合设计研究自变量对产率(Y1)、包封率(Y2)和药物释放(Y3)的影响。制备出了尺寸范围为10 - 40μm、具有良好流变行为且表面呈球形光滑的SLMs。傅里叶变换红外光谱、差示扫描量热法和X射线衍射法表明制剂成分之间具有相容性,ζ电位研究证实由于存在负电荷(-20至-40 mV)而具有更好的稳定性。通过多项式方程分析了Y1(29 - 86%)、Y2(45 - 83%)和Y3(49 - 86%)的所得结果,并对所建议的二次模型进行了验证。脂质浓度对SLMs在pH 1.2和6.8条件下的奈必洛尔释放有显著(p < 0.05)影响。释放机制遵循Higuchi模型和零级模型,而n > 0.85值(Korsmeyer-Peppas)表明存在缓慢侵蚀以及扩散。优化后的SLMs有潜力提高奈必洛尔的口服生物利用度。

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