An automated multicomponent system for measuring the content of monatomic phenolic compounds in alcohol solutions has been developed. To assure the quality control of widespread alcohol solutions, including medications and strong alcoholic beverages, a new multi-sensor automated quality monitoring system has been proposed. The system is based on a multilayer artificial neural network for the digital processing of sensor signals. Taking into account the cross-sensitivity of the sensors and the

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... plication of selective sensors reduce the error in determining the concentration of light phenolic compounds. The sensor signal processing process is complemented by parallel channels for calculating the ethyl alcohol concentration as well as the illumination and temperature values by linearly converting the output signals. Simulation models using sensors based on the electronic theory of impurity sorption on the surface of semiconductors were acquired.