Integrated doctoral course student Yonsei university, Republic of Korea
Introduction: While cell-derived exosomes have gained attention in the context of salivary gland fibrosis, their clinical translation is impeded by low yields and heterogeneity [1]. To circumvent these limitations, exosome-mimetic nanoparticles (ENPs) have been proposed as an alternative [2]. Although microfluidics enables precise ENP synthesis, manual workflows often fall short of Quality by Design (QbD) standards due to operator-dependent variability and flow instability. In this study, we demonstrate an automated platform's superior time- and cost-efficiency by introducing the Experiment Price Index (EPI).
Learning Objectives:
Evaluate the advantages of automated systems over manual methods for reproducibility.
Analyze the impact of automation on reducing production timelines and capital expenditure.
Apply Quality by Design principles to minimize operator dependency .
