In this work, the numerical study of the air flow through the electronic nose used to differentiate the Peruvian pisco was carried out. The electronic nose was designed by the GICA-PUCP Group. The objective of this study was to evaluate the best conditions (pressure, temperature and flow) that guarantee the reproducibility, repeatability of the sensing results to achieve a good differentiation of Peruvian Pisco according to its designation of origin. To achieve this goal, a study of the behavior of air dynamics was carried out within the sensing chamber of the electronic nose. In this investigation, the finite volume technique was used to solve the continuity, momentum and energy equations. It was considered: (i) fluid with ideal gas behavior with variable density, (ii) k epsilon Realizable turbulence model. For the simulation, an inlet flow of 1.65 m/s at 27 ° C, an operating temperature of 260 ° C on the surface of the sensors located inside the electronic nose and a sensing time of 80 seconds were considered. The numerical analysis was developed with Ansys Workbench 2019 R3 software. The results show that the temperature and pressure reach a constant value after 50 seconds. In addition, they show that the flow surrounds the sensors at different times, which influences the response time of the sensors in contact with the volatile components of the pisco.