Faculté de Pharmacie , Université de Montréal , C.P. 6128, Succursale Centre-ville , Montréal , Québec H3C 3J7 , Canada.
Langmuir. 2018 May 22;34(20):5772-5780. doi: 10.1021/acs.langmuir.8b00652. Epub 2018 May 9.
The present study establishes the scaling laws describing the structure of spherical nanoparticles formed by diffusion-limited coalescence. We produced drug-loaded nanoparticles from a poly(ethylene glycol)-poly(d,l-lactic acid) diblock polymer (PEG- b-PLA) by the nanoprecipitation method using different types of micromixing chambers to explore multiple mixing regimes and characteristic times. We first show that the drug loading of the nanoparticles is not controlled by the mixing time but solely by the drug-to-polymer ratio (D:P) in the feed and the hydrophobicity of the drug scaled via the partition coefficient P. We then procure compelling evidence that particles formed via diffusion/coalescence exhibit a relative distribution of PEG blocks between the particle core and its shell that depends only on mixing conditions (not on D:P). Scaling laws of PEG relative distribution and chain surface density were derived in different mixing regimes and showed excellent agreement with experimental data. In particular, results made evident that PEG blocks entrapment in the core of the particles occurs in the slow-mixing regime and favors the overloading (above the thermodynamic limit) of the particles with hydrophilic drugs. The present analysis compiles effective guidelines for the scale up of nanoparticles structure and properties with mixing conditions, which should facilitate their future translation to medical and industrial settings.
本研究建立了描述由扩散限制聚结形成的球形纳米粒子结构的标度律。我们通过使用不同类型的微混合室的纳米沉淀法从聚乙二醇-聚(DL-丙交酯)嵌段共聚物(PEG-b-PLA)生产载药纳米粒子,以探索多种混合状态和特征时间。我们首先表明,纳米粒子的药物负载不受混合时间控制,而仅受进料中药物与聚合物的比例(D:P)和药物的疏水性控制,药物的疏水性通过分配系数 P 来衡量。然后,我们获得了令人信服的证据,表明通过扩散/聚结形成的颗粒表现出颗粒核与其壳之间的 PEG 块的相对分布,该分布仅取决于混合条件(而与 D:P 无关)。在不同的混合状态下推导出了 PEG 相对分布和链表面密度的标度律,并与实验数据非常吻合。特别是,结果表明,PEG 块在颗粒核中的捕获发生在缓慢混合状态,并有利于亲水性药物的颗粒的超负载(超过热力学极限)。本分析为基于混合条件的纳米粒子结构和性能的放大提供了有效的指导原则,这将有助于它们在医学和工业环境中的未来转化。