Isabelle Andriot

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 shows that rapid odorant metabolism in the olfactory mucosa generates secondary odorants that reshape odor representations by introducing timing-based distinctions between inhaled and internally-generated odorants.

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.