DOCTORAL CANDIDATE 3

This project is dedicated to the in-depth study of drug release dependency on different encapsulation methods. The project elucidates the key factors influencing drug release rates, including encapsulation materials, structure, and physicochemical properties. The DC will demonstrate a new experimental platform based on a small volume reactor with integrated PT sensing capabilities for monitoring dynamic processes. First the DC will screen an industrially relevant system for drug release under different conditions using existing spectroscopy tools. Multivariate curve resolution (MCR) based on matrix augmentation and alternating least squares (ALS) will be used to extract pure component spectra and concentration profiles of all components involved in the process under investigation. The DC will be first trained on MCR-ALS using data sets recorded with EC-QCL based absorption measurements. The second part of this project focuses on advancing the sensitivity of SpectroModule and SpectroPlate developed with DC7 and DC12. Major focus will be put on extracting analytically relevant information from drug release experiments. Strategies will be devised to address spectral interference from the matrix (buffer) and microreactor materials. This project will provide precise insights into the dynamic changes occurring during drug release processes, enabling a comprehensive understanding of encapsulation dynamics.