Design of experiment (DoE) as a quality by design (QbD) tool to optimize formulations of lipid nanoparticles for nose-to-brain drug delivery.

Different DoE 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.