Computational-Aided Approach for the Optimization of Microfluidic-Based Nanoparticles Manufacturing Process.

ABSTRACT: In the last few years, the microfluidic production of nanoparticles (NPs) is becoming a promising alternative to conventional industrial approaches (e.g., nanoprecipitation, salting out, and emulsification-diffusion) thanks to the production efficiency, low variability, and high controllability of the production parameters. Nevertheless, the development of new formulations and the switching of the production process toward microfluidic platforms requires expensive and time-consuming number of experiments for the tuning of the formulation to obtain NPs with specific morphological and functional characteristics. In this work, we developed a computational fluid dynamic pipeline, validated through an ad hoc experimental strategy, to reproduce the mixing between the solvent and anti-solvent (i.

SUBMITTER: Bellotti M 

PROVIDER: S-EPMC11561088 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature