Hybrid electronic tongues based on microsensors applied to wine quality control

In this work an hybrid electronic tongue for the analysis of wine is presented. Its main novelty is the joint use of different kind of sensors- potentiometric ISFETs, thin film metal microelectrodes as amperometric and conductivity sensors and an optofluidic system- thus allowing an unprecedented measurement of information of a specific sample. Moreover, this electronic tongue is completed with the use of data processing tools like Principal Component Analysis (PCA) Partial Least Square (PLS) and Soft Independent Modeling Class Analogy (SIMCA). The so-called hybrid electronic tongue, here developed, has been applied to classify the wine according to its distinct features like grape variety, geographic origin, year and organoleptic characteristics. This approach has also allowed performing quantitative measurements of parameters of interest in quality control, such as alcoholic degree, pH, ions, total acidity, glycerol and color.