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通过被动载药评估不同脂质纳米颗粒分散体的载药能力。

Evaluation of the drug loading capacity of different lipid nanoparticle dispersions by passive drug loading.

作者信息

Rosenblatt Karin M, Bunjes Heike

机构信息

Friedrich-Schiller-Universität Jena, Institut für Pharmazie, Lehrstuhl für Pharmazeutische Technologie, Lessingstraβe 8, 07743 Jena, Germany.

Friedrich-Schiller-Universität Jena, Institut für Pharmazie, Lehrstuhl für Pharmazeutische Technologie, Lessingstraβe 8, 07743 Jena, Germany; Technische Universität Braunschweig, Institut für Pharmazeutische Technologie, Mendelssohnstr. 1, 38106 Braunschweig, Germany.

出版信息

Eur J Pharm Biopharm. 2017 Aug;117:49-59. doi: 10.1016/j.ejpb.2017.03.010. Epub 2017 Mar 16.

Abstract

When using lipid nanoparticles as drug carrier system it is important to know how much drug can be loaded to the nanoparticles. The mainly used drug loading procedure is an empirical approach dissolving the drug in the liquid lipid during preparation of the nanoparticles. This approach does not necessarily lead to the truly loadable amount, as the lipid can, e.g. be overloaded, in particular when it is processed in the heat. In this work, a different procedure, passive drug loading, was evaluated to determine the drug loading capacity of various lipid nanoparticles (supercooled trimyristin emulsion droplets, solid trimyristin nanoparticles, tristearin nanoparticles in the α-modification and cholesteryl myristate nanoparticles in the supercooled smectic as well as in the crystalline state). The nanoparticle dispersions were exposed to eight different model drug compounds (betamethasone-17-valerate, carbamazepine, diazepam, flufenamic acid, griseofulvin, ibuprofen, retinyl palmitate, ubidecarenone) in the bulk state, which varied in partition coefficient and aqueous solubility, and equilibrated over time. The passive loading procedure had no relevant impact on the particle sizes or the physicochemical state of the nanoparticles. The loadable drug amount differed distinctly for the different model compounds and also between the different types of lipid nanoparticles. For most compounds, the loaded amount was much higher than the aqueous solubility. Trimyristin-based dispersions generally had the highest loading capacity, the emulsion usually being equal or superior to the solid trimyristin nanoparticles. For betamethasone-17-valerate, however, solid lipid nanoparticles exhibited by far the highest drug load. The extremely lipophilic model drugs retinyl palmitate and ubidecarenone could not be loaded with the passive approach.

摘要

当使用脂质纳米颗粒作为药物载体系统时,了解纳米颗粒能够负载多少药物非常重要。主要使用的载药方法是一种经验性方法,即在制备纳米颗粒的过程中将药物溶解在液态脂质中。这种方法不一定能达到真正可负载的量,因为脂质可能会过载,例如在加热处理时尤其如此。在这项工作中,评估了一种不同的方法——被动载药,以确定各种脂质纳米颗粒(过冷的三肉豆蔻酸甘油酯乳液滴、固体三肉豆蔻酸甘油酯纳米颗粒、α-晶型的硬脂酸甘油酯纳米颗粒以及过冷近晶态和结晶态的肉豆蔻酸胆固醇酯纳米颗粒)的载药能力。将纳米颗粒分散体暴露于八种不同的模型药物化合物(倍他米松-17-戊酸酯、卡马西平、地西泮、氟芬那酸、灰黄霉素、布洛芬、棕榈酸视黄酯、辅酶Q10)的本体状态下,这些化合物的分配系数和水溶性各不相同,并随时间达到平衡。被动载药过程对纳米颗粒的粒径或物理化学状态没有显著影响。不同的模型化合物以及不同类型的脂质纳米颗粒之间,可负载的药量明显不同。对于大多数化合物,负载量远高于其水溶性。基于三肉豆蔻酸甘油酯的分散体通常具有最高的负载能力,乳液通常与固体三肉豆蔻酸甘油酯纳米颗粒相当或更优。然而,对于倍他米松-17-戊酸酯,固体脂质纳米颗粒的载药量迄今为止最高。极亲脂性的模型药物棕榈酸视黄酯和辅酶Q10无法通过被动方法进行负载。

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