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Statistical analysis of solid lipid nanoparticles produced by high-pressure homogenization: A practical prediction approach

机译:高压均质化产生的固体脂质纳米颗粒的统计分析:一种实用的预测方法

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摘要

Lipid nanoparticles (LNPs) are a promising carrier for all administration routes due to their safety, small size, and high loading of lipophilic compounds. Among the LNP production techniques, the easy scale-up, lack of organic solvents, and short production times of the high-pressure homogenization technique (HPH) make this method stand out. In this study, a statistical analysis was applied to the production of LNP by HPH. Spherical LNPs with mean size ranging from 65 nm to 11.623 μm, negative zeta potential under -30 mV, and smooth surface were produced. Manageable equations based on commonly used parameters in the pharmaceutical field were obtained. The lipid to emulsifier ratio (R _(L/S)) was proved to statistically explain the influence of oil phase and surfactant concentration on final nanoparticles size. Besides, the homogenization pressure was found to ultimately determine LNP size for a given R _(L/S), while the number of passes applied mainly determined polydispersion. α-Tocopherol was used as a model drug to illustrate release properties of LNP as a function of particle size, which was optimized by the regression models. This study is intended as a first step to optimize production conditions prior to LNP production at both laboratory and industrial scale from an eminently practical approach, based on parameters extensively used in formulation.
机译:脂质纳米颗粒(LNP)由于其安全性,小尺寸和高负载亲脂性化合物而成为所有给药途径的有希望的载体。在LNP生产技术中,易于规模化生产,缺乏有机溶剂以及高压均质技术(HPH)的生产时间短使该方法脱颖而出。在这项研究中,将统计分析应用于HPH生产LNP。球形LNP的平均大小在65 nm至11.623μm之间,在-30 mV下具有负的zeta电位,表面光滑。获得了基于制药领域常用参数的可管理方程。脂质与乳化剂之比(R _(L / S))被证明可以统计学地解释油相和表面活性剂浓度对最终纳米粒子尺寸的影响。此外,发现均质压力最终决定了给定R _(L / S)时LNP的大小,而通过次数则主要决定了多分散性。使用α-生育酚作为模型药物来说明LNP的释放特性随粒径的变化,并通过回归模型对其进行了优化。这项研究的第一步是根据配方中广泛使用的参数,通过一种非常实用的方法来优化实验室和工业规模生产LNP之前的生产条件的第一步。

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