固体脂质纳米粒
药物输送
设计质量
分散性
关键质量属性
Zeta电位
粒径
材料科学
纳米技术
生物医学工程
纳米颗粒
医学
化学工程
工程类
高分子化学
作者
Aline de Alcântara Correia,João Nuno Moreira,José Manuel Sousa Lobo,Ana Catarina Silva
标识
DOI:10.1080/17425247.2023.2274902
摘要
Different DoEs have been used to optimize SLN and NLC formulations for nose-brain drug delivery, and the independent variables lipid and surfactant concentration and sonication time had the greatest impact on the dependent variables PS, EE, and PDI. Exploring different DoE approaches is important to gain a deeper understanding of the factors that affect successful optimization of SLN and NLC and to facilitate future work improving machine learning techniques.
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