Т. Тодоров. Идентификация на слънчогледово олио със система електронен нос

Key Words: Gas sensors; gas sensors array; electronic nose; food; quality control; sunflower oil.

Abstract. Тhis work presents a study and identification of oil through multisensor system electronic nose. The system is built on the basis of eight gas sensors, reacting to different types of gas. With the help of the system, a study of sunflower oil produced from pressed sunflower seed and extrusion of oil cake (the remainder of the primary pressing) was carried out. The data obtained from the study is used to train an artificial neural network. After the training, artificial neural network successfully recognizes the test sample.

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