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Radar charts based on particle.sizing as an approach to establish the fingerprints of polymeric nanoparticles in aqueous formulations

机译:基于粒度的雷达图作为建立水性配方中聚合物纳米颗粒指纹的一种方法

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Pre-formulation studies are conducted each time new nanoparticulate formulations are in development to the selection of a satisfactory drug delivery system. We hypothesized that laser diffraction technique could be used as an initial screening, being an excellent tool to save time and reduce the number of necessary tests to select formulations. We built radar charts based on laser diffraction data as a new approach to determine the fingerprints of nanocarrier formulations in order to select promising drug delivery systems. To validate our approach different lipophilic dispersions of poly(epsilon-caprolactone) and polysorbate 80, combined with 4 solid materials: sorbitan monostearate (I), cetyl palmitate (II), stearic acid (III) or cholesterol (IV), and 4 oils: capric/caprylic triglycerides (A), mineral oil (B), octyl methoxycinnamate (C) or oleic acid (D), were prepared. Formulations were analyzed by laser diffraction, as well as considering the visual appearance, pH, organic phase viscosity, hydrodynamic diameter, polydispersity index, zeta potential and in vitro drug release. Specific fingerprints were determined for formulations having unimodal particle size distributions with low polydispersity. On the other hand, formulations showing multimodal particle size distributions were rapidly identified in the radar charts and classified as noncompliance products. (C) 2015 Elsevier B.V. All rights reserved.
机译:每当开发新的纳米颗粒制剂以选择令人满意的药物递送系统时,都要进行制剂前研究。我们假设激光衍射技术可以用作初始筛选,是节省时间并减少选择配方所需测试次数的出色工具。我们基于激光衍射数据构建了雷达图,作为确定纳米载体制剂指纹的一种新方法,以便选择有前途的药物输送系统。为了验证我们的方法,将聚(ε-己内酯)和聚山梨酯80的不同亲脂性分散体与4种固体材料结合使用:脱水山梨醇单硬脂酸酯(I),棕榈酸十六烷基酯(II),硬脂酸(III)或胆固醇(IV)和4种油:制备癸酸/辛酸甘油三酯(A),矿物油(B),甲氧基肉桂酸辛酯(C)或油酸(D)。通过激光衍射分析制剂,并考虑其外观,pH,有机相粘度,流体动力学直径,多分散指数,ζ电势和体外药物释放。确定具有单峰粒度分布且低多分散性的制剂的特定指纹。另一方面,显示多峰粒度分布的配方在雷达图中很快被识别出来,并归类为不合格产品。 (C)2015 Elsevier B.V.保留所有权利。

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