Analysis of food products has a particular place in analytical chemistry. Within the food there are still new substances discovered that have a significant impact on human health (for example melamine, NO₂^- ions, mycotoxins, pesticides). For this reason, it is very important to determine the quality of food products. The research is also carried out to assess food origin, specific properties such as nutritional value, and possible contamination.

To ensure adequate monitoring, a lot of the analytical procedures detecting non-compliance with the prescribed standards, are applicable. New solutions that enable rapid and reliable assessment of the quality of the food are of great interest. One of such devices is so-called electronic tongue (ET), which allows to analyze, distinguish and classify liquid samples. ET consisting of sensor arrays and image recognition unit allows for multi-dimensional analysis of chemical images of  the samples.

The paper presents the hybrid electronic tongue used in the analysis of extracts obtained from dried apples. The system based on potentiometric and voltammetric sensors, enriched by the data obtained with the use of amperommetry, spectrophotommetry, and conductommetry, allowed for the differentiation of extracts due to the applied food processing (drying technique).

This work has been supported by National Center for Research and Development within a framework of LIDER programme (Nr LIDER/17/202/L-1/09/NCBiR/2010), by the European Union in the framework of European Social Fund (through the Warsaw University of Technology Development Programme), and by Project MNS-DIAG Nr POIG.01.03.01-00-014/08-00.

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