Food properties change during processing, altering the quality of the final product. Sometimes, the
important causal relationships are not well known and thus process management is difficult. This is especially
true when chemical changes can occur as in the case of the drying of bioactive materials. The aim of
this work was to develop a management tool for the thyme drying process, assisted by power ultrasound,
to allow the appropriate values of the operating conditions that maximize the antioxidant capacity (AC)
of the dried thyme extracts to be determined. For this proposal, the thyme drying process was analyzed at
different drying air temperatures (T) (40–80 C), drying air velocities (va) (1–3 m/s) and levels of power
ultrasound (US) (0, 6.2, 12.3, 18.5 kW m3). The essential oil was extracted by means of a supercritical
fluid extraction method, and its AC was measured by FRAP. The drying velocity and the AC of the dried
thyme extracts were both influenced by the magnitude of the air velocity and temperature, and also by
power ultrasound. Artificial neural networks were developed to formulate and solve the optimization
problem. The developed management tool allowed the optimal conditions of the process to be established,
thereby maximizing the AC values in function of the raw materials, process characteristics and
room air conditions.