Doctoral Schools WUT

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Wykaz obszarów badawczych związanych z tagiem Elektroniczny-jezyk:

# Obszar badawczy Dziedzina naukowa
1 Electronic tongue - study of the correlation of (soft) sensor signals with organoleptic properties. The ""Holy Grail"" of the pharmaceutical and food industry is the replacement of trained organoleptic evaluation experts (human panel) with machine-based taste and smell systems, so-called taste and smell sensors, also known as ""electronic noses"" and ""electronic tongues"". Over the last years, we have gained unique expertise in this field - we are able to develop biomimetic systems with which we can identify bitter taste masking in pediatric formulations, determine the method of food processing used to increase shelf life of foodstuff, or evaluate the effectiveness of artificial sweeteners. The aim of the doctorate will be the fabrication of (soft) sensors / (soft) sensor arrays and the acquisition of their signals, for further data mining aiming on correlating the signals with the organoleptic properties of selected foodstuff and / or pharmaceutical products.
2 Modern multi-sensor systems (electronic tongue) for the analysis of pharmaceuticals Electronic tongue is a modern device that provide automatic analysis and classification (including identification and quality assessment) of complex samples. Specially selected set of cross-sensitive sensors (sensor matrix) is the main component of an electronic tongue, and their coupling with selected chemometric techniques enables the analysis of multidimensional measurement data. Such systems are used in automatic quality control in the food industry, environmental protection and medical diagnostics. The aim of the research is to develop multisensor systems (electronic tongue) for the analysis of pharmaceutical products, e.g. to assess the effectiveness of masking their bitter taste, to study the kinetics of drug release and to recognize the originality of pharmaceuticals. The design of such devices requires careful selection of cross-sensitive sensors and appropriate methods of pattern recognition.