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首页> 外文期刊>International Journal of Pharmaceutics >Engineering of budesonide-loaded lipid-polymer hybrid nanoparticles using a quality-by-design approach
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Engineering of budesonide-loaded lipid-polymer hybrid nanoparticles using a quality-by-design approach

机译:使用质量求质量求脂质 - 加载脂质 - 聚合物杂交纳米粒子的工程

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Chronic obstructive pulmonary disease (COPD) is a complex disease, characterized by persistent airflow limitation and chronic inflammation. The purpose of this study was to design lipid-polymer hybrid nanoparticles (LPNs) loaded with the corticosteroid, budesonide, which could potentially be combined with small interfering RNA (siRNA) for COPD management. Here, we prepared LPNs based on the biodegradable polymer poly(dl-lactic-co-glycolic acid) (PLGA) and the cationic lipid dioleyltrimethylammonium propane (DOTAP) using a double emulsion solvent evaporation method. A quality-by-design (QbD) approach was adopted to define the optimal formulation parameters. The quality target product profile (QTPP) of the LPNs was identified based on risk assessment. Two critical formulation parameters (CFPs) were identified, including the theoretical budesonide loading and the theoretical DOTAP loading. The CFPs were linked to critical quality attributes (CQAs), which included the intensity-based hydrodynamic particle diameter (z-average), the polydispersity index (PDI), the zeta-potential, the budesonide encapsulation efficiency, the actual budesonide loading and the DOTAP encapsulation efficiency. A response surface methodology (RSM) was applied for the experimental design to evaluate the influence of the CFPs on the CQAs, and to identify the optimal operation space (OOS). All nanoparticle dispersions displayed monodisperse size distributions (PDI<0.2) withz-averages of approximately 150nm, suggesting that the size is not dependent on the investigated CFPs. In contrast, the zeta-potential was highly dependent on the theoretical DOTAP loading. Upon increased DOTAP loading, the zeta-potential reached a maximal point, after which it remained stable at the maximum value. This suggests that the LPN surface is covered by DOTAP, and that the DOTAP loading is saturable. The actual budesonide loading of the LPNs was mainly dependent on the initial amount of budesonide, and a clear positive effect was observed, which shows that the interaction between drug and PLGA increases when increasing the initial amount of budesonide. The OOS was modeled by applying the QTPP. The OOS had a budesonide encapsulation efficiency higher than 30%, a budesonide loading above 15μg budesonide/mg PLGA, a zeta-potential higher than 35mV and a DOTAP encapsulation efficiency above 50%. This study shows the importance of systematic formulation design for understanding the effect of formulation parameters on the characteristics of LPNs, eventually resulting in the identification of an OOS.
机译:慢性阻塞性肺病(COPD)是一种复杂的疾病,其特征在于持续的气流限制和慢性炎症。本研究的目的是设计脂质 - 聚合物杂合纳米颗粒(LPN),其装载与皮质类固醇,预皂苷酸,其可能与COPD管理的小干扰RNA(siRNA)组合。这里,使用双乳液溶剂蒸发方法,基于可生物降解的聚合物聚(DL-乳酸)(DL-乳酸二乙醇酸)(PLGA)和阳离子脂质二氧基三甲基丙烷(DOTAP)制备LPN。采用质量逐设计(QBD)方法来定义最佳配方参数。基于风险评估鉴定了LPN的质量目标产品概况(QTPP)。鉴定了两种临界配方参数(CFP),包括理论提前隆甙加载和理论DOTAP负荷。 CFP与临界质量属性(CQAs)相关联,该临界质量属性(CQAs)包括基于强度的流体动力粒径(Z平均值),多分散性指数(PDI),Zeta电位,预烯胺封装效率,实际的预烯胺载荷和DOTAP封装效率。应用响应面方法(RSM)用于实验设计,以评估CFP对CQAS的影响,并识别最佳操作空间(OOS)。所有纳米粒子分散体都显示出单分散尺寸分布(PDI <0.2)大约150nm的平均值,表明尺寸不依赖于所研究的CFP。相反,Zeta-潜力高度依赖于理论DOTAP负荷。在增加DOTAP负载时,ZETA-电位达到最大点,之后它保持在最大值下稳定。这表明LPN表面被DOTAP覆盖,并且DOTAP负载是可饱平的。 LPN的实际预升级载荷主要依赖于初始的初始量的蛋白质,并且观察到澄清的阳性效果,表明药物和PLGA之间的相互作用在增加初始量的初始量的初始量时增加。通过应用QTPP来建模OOS。 oos具有高于30%的预烯胺封装效率,是15μg蛋白质蛋白剂/ mg PLGA以上的预皂甙,高于35mV的ζ电位和高于50%的DOTAP封装效率。本研究表明系统配方设计的重要性,以了解制剂参数对LPN特性的作用,最终导致oos的识别。

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