A mathematical model is developed using Petri net methodology that is able to predict simultaneous changes in bio(physical)chemical parameters of mitochondria, namely hydrodynamic diameter, fluorescence of NADH, DCF fluorescence signal depending on the time of action and concentration of sodium azide and predict these changes for unknown NaN 3 concentration. The model is created for real experimental conditions, it combines functional changes of mitochondria with a structural representation of learned processes.