Modeling O2 Ingress During Barrel Aging: Automated Script and Model Detection Based on Kinetic Data (2026-EU-30MP-2828)

The R&D team at Chêne & Cie has developed an innovative device enabling in situ and continuous monitoring of wine evolution within oak barrels. Among the integrated sensors, one specifically measures dissolved oxygen.

To better characterize the barrel-aging process, it is essential to model the oxygen ingress events observed in our kinetic data. These events are typically marked by sharp peaks in oxygen concentration, followed by an exponential decay. Given their high frequency, manual analysis proves impractical.

To address this, we developed an automated script designed to model these ingress events. The script establishes a dynamic baseline to isolate the peaks and incorporates several control checkpoints to ensure the robustness and accuracy of the modeling process. Upon completion, the script generates a comprehensive oxygen summary, detailing the number of ingress events and the cumulative oxygen uptake recorded throughout the study period.