Our approach combines advanced sensor technology with a model-based calibration strategy. This synergy results in a sophisticated and real-time monitoring tool that ensures precision in assessing ethanol levels.

The core of our innovation lies in the implementation of a gas sensor array and headspace sampling system. This intricately designed setup allows for the accurate prediction of ethanol concentration in the liquid phase during the cultivation process. The gas sensor array captures nuanced data, while the headspace sampling system ensures the representation of the fermentation environment.

Complementing this hardware innovation is our Model-Based Calibration (MBC) Algorithm. Departing from conventional methods, we eliminate the need for offline measurements. Instead, simulated process variables are employed to determine the parameters of the chemometric model. Noteworthy is the fact that our algorithm discerns the initially unknown kinetic parameters of the process model during this calibration procedure.