O1. Examination of Physicochemical Properties
Investigate how the coffee-ring effect influences the distribution and stability of APIs in microdroplets, and how different media affect API-buffer interactions.

O2. Development and Optimization of Sample Preparation
Compare manual application and inkjet printing of samples. Identify methods that ensure the highest reproducibility and precision in applying microdroplets.

O3. Microscopic Analysis and Data Interpretation
Capture detailed microphotographs of all samples to track solvent evaporation and its impact on the coffee-ring formation.

O4. Application of Statistical Methods and Cluster Analysis
Employ advanced statistical techniques to analyze microphotographs and experimental data, aiming to identify patterns that predict how formulations behave under various conditions.

O5. Spectroscopic and Microdiffraction Analysis
Determine changes at the molecular level and phase composition to gain deeper insights into the mechanisms that influence stability and substance properties.

O6. Development and Testing of New Formulations
Based on microscopic and spectroscopic results, prepare and evaluate new formulations containing excipients that enhance solubility and stability. Employ design of experiments to evaluate physical and chemical parameters across a broad experimental space.

O7. Surface Modification and Adaptation
Investigate how different substrate properties (modified glass surfaces, alloys, and polymer carriers with functional groups) affect formulation behavior.

O8. Machine Learning Integration
Implement machine learning models to predict outcomes, automate data analysis, and refine decision-making processes, thereby boosting both efficiency and accuracy.

In sum, our project aims to introduce cutting-edge techniques—ranging from lab-on-a-chip miniaturization to AI-driven formulation optimization—for a more rational, economical, and effective drug development process.