Caroline Peltier

This study develops a modular Python framework called digimouth to model aroma release during food oral processing, validated with experimental data from 30 subjects.

digimouth is an open-source Python framework for simulating and fitting aroma release kinetics in food science, validated against real-time data with 2% average error.

The paper quantifies inter- and intra-individual variability in aroma release during oral food processing using PTR-MS and identifies differences based on processing protocols.

This study develops a rat model of Meibomian gland dysfunction (MGD) and ocular rosacea by UVB exposure, showing similar pathological features to human disease.