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采用统计析因设计制备、表征并优化载有枸橼酸西地那非的 PLGA 纳米粒。

Preparation, characterization and optimization of sildenafil citrate loaded PLGA nanoparticles by statistical factorial design.

机构信息

Pharmaceutics Department, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

Daru. 2013 Dec 19;21(1):68. doi: 10.1186/2008-2231-21-68.

Abstract

BACKGROUND AND THE AIM OF THE STUDY

The objective of the present study was to formulate and optimize nanoparticles (NPs) of sildenafil-loaded poly (lactic-co-glycolic acid) (PLGA) by double emulsion solvent evaporation (DESE) method. The relationship between design factors and experimental data was evaluated using response surface methodology.

METHOD

A Box-Behnken design was made considering the mass ratio of drug to polymer (D/P), the volumetric proportion of the water to oil phase (W/O) and the concentration of polyvinyl alcohol (PVA) as the independent agents. PLGA-NPs were successfully prepared and the size (nm), entrapment efficiency (EE), drug loading (DL) and cumulative release of drug from NPs post 1 and 8 hrs were assessed as the responses.

RESULTS

The NPs were prepared in a spherical shape and the sizes range of 240 to 316 nm. The polydispersity index of size was lower than 0.5 and the EE (%) and DL (%) varied between 14-62% and 2-6%, respectively. The optimized formulation with a desirability factor of 0.9 was selected and characterized. This formulation demonstrated the particle size of 270 nm, EE of 55%, DL of 3.9% and cumulative drug release of 79% after 12 hrs. In vitro release studies showed a burst release at the initial stage followed by a sustained release of sildenafil from NPs up to 12 hrs. The release kinetic of the optimized formulation was fitted to Higuchi model.

CONCLUSIONS

Sildenafil citrate NPs with small particle size, lipophilic feature, high entrapment efficiency and good loading capacity is produced by this method. Characterization of optimum formulation, provided by an evaluation of experimental data, showed no significant difference between calculated and measured data.

摘要

背景和研究目的

本研究的目的是通过双乳液溶剂蒸发(DESE)法制备和优化载有西地那非的聚(乳酸-共-乙醇酸)(PLGA)纳米粒(NPs)。使用响应面法评估设计因素与实验数据之间的关系。

方法

采用 Box-Behnken 设计,考虑药物与聚合物的质量比(D/P)、水相与油相的体积比(W/O)和聚乙烯醇(PVA)的浓度作为独立因素。成功制备了 PLGA-NPs,并评估了粒径(nm)、包封效率(EE)、载药量(DL)以及 NPs 中药物在 1 和 8 小时后的累积释放率作为响应。

结果

NPs 呈球形,粒径范围为 240 至 316nm。粒径的多分散指数低于 0.5,EE(%)和 DL(%)分别在 14-62%和 2-6%之间变化。选择并表征了具有理想因子为 0.9 的优化配方。该配方的粒径为 270nm,EE 为 55%,DL 为 3.9%,12 小时后累积药物释放率为 79%。体外释放研究表明,在初始阶段有突释,随后西地那非从 NPs 中持续释放长达 12 小时。优化配方的释放动力学符合 Higuchi 模型。

结论

通过该方法制备了具有小粒径、亲脂性、高包封效率和良好载药量的枸橼酸西地那非 NPs。通过对实验数据的评估,对最佳配方的特性进行了表征,计算数据与实测数据之间无显著差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80c5/3880179/7be1ce9b40f6/2008-2231-21-68-1.jpg

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