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首页> 外文期刊>Journal of Microencapsulation: Microcapsules Liposomes Nanoparticles Microcells Microspheres >Application of multiple regression analysis in optimization of anastrozole- loaded PLGA nanoparticles
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Application of multiple regression analysis in optimization of anastrozole- loaded PLGA nanoparticles

机译：多元回归分析在阿那曲唑负载PLGA纳米粒子优化中的应用

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摘要

The present investigation deals with development of anastrozole-loaded PLGA nanoparticles (NPs) as an alternate to conventional cancer therapy. The NPs were prepared by nanoprecipitation method and optimized using multiple regression analysis. Independent variables included drug: polymer ratio (X-1), polymer concentration in organic phase (X-2) and surfactant concentration in aqueous phase (X-3) while dependent variables were percentage drug entrapment (PDE) and particle size (PS). Results of desirability criteria, check point analysis and normalized error were considered for selecting the formulation with highest PDE and lowest PS. Prepared NPs were characterized for zeta potential, transmission electron microscopy (TEM), differential scanning calorimetry (DSC) and in vitro drug release studies. DSC and TEM studies indicated absence of any drug-polymer interaction and spherical nature of NPs, respectively. In vitro drug release showed biphasic pattern exhibiting Fickian diffusion-based release mechanism. This delivery system of anastrozole is expected to reduce the side effects associated with the conventional cancer therapy by reducing dosing frequency.
机译：本研究涉及载有阿那曲唑的PLGA纳米颗粒（NPs）的开发，以替代传统的癌症治疗方法。通过纳米沉淀法制备NP，并使用多元回归分析对其进行优化。自变量包括药物：聚合物比例（X-1），有机相中聚合物浓度（X-2）和水相中表面活性剂浓度（X-3），而因变量是药物截留百分率（PDE）和粒径（PS） 。选择具有最高PDE和最低PS的配方时，需要考虑合乎需要的标准，检查点分析和归一化误差的结果。制备的NP的特征在于zeta电位，透射电子显微镜（TEM），差示扫描量热法（DSC）和体外药物释放研究。 DSC和TEM研究表明分别没有任何药物-聚合物相互作用和NPs的球形性质。体外药物释放显示出两相模式，表现出基于Fickian扩散的释放机制。预计阿那曲唑的这种递送系统将通过减少给药频率来减少与常规癌症治疗相关的副作用。

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