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应用于固体脂质纳米颗粒水分散体的蒸发干燥工艺的放大与优化。

Scale-up and optimization of an evaporative drying process applied to aqueous dispersions of solid lipid nanoparticles.

作者信息

Marengo Emilio, Cavalli Roberta, Rovero Giorgio, Gasco Maria Rosa

机构信息

Dipartimento di Scienze e Tecnologie Avanzate, Università del Piemonte Orientale, Italy.

出版信息

Pharm Dev Technol. 2003 Aug;8(3):299-309. doi: 10.1081/pdt-120022158.

DOI:10.1081/pdt-120022158
PMID:12901695
Abstract

An apparatus to dry aqueous dispersions of solid lipid nanoparticles (SLNs) was designed. Optimal running conditions were evaluated to obtain minimum process time and produce dried SLNs characterized by small size variation. To achieve process optimization, SLN average diameter, SLNs polydispersity index, and drying time were related to three operative variables: process temperature, SLN concentration in the original aqueous dispersions, and nitrogen flow rate as the physical means of the drying process. An experimental design procedure and a multicriteria optimization method, targeting desirability functions, enabled us to obtain the optimal conditions for all responses. Drying time, average diameter, and polydispersity index of dried SLN batches were more favorable than those obtained by freeze-drying identical SLN aqueous dispersions with the same initial nanoparticle concentration.

摘要

设计了一种用于干燥固体脂质纳米粒(SLNs)水分散体的装置。评估了最佳运行条件,以获得最短的处理时间,并生产出粒径变化小的干燥SLNs。为实现工艺优化,将SLN平均直径、SLNs多分散指数和干燥时间与三个操作变量相关联:工艺温度、原始水分散体中SLN的浓度以及作为干燥工艺物理手段的氮气流速。一种以期望函数为目标的实验设计程序和多准则优化方法,使我们能够获得所有响应的最佳条件。干燥后的SLN批次的干燥时间、平均直径和多分散指数比用相同初始纳米颗粒浓度的相同SLN水分散体进行冷冻干燥所得到的结果更理想。

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