Electronic tongues (ETs) are multisensor systems based on the coupling of different sensors with high stability and cross-sensitivity towards different species, along with an appropriate chemometric tool that allow the classification of samples and/or the quantification of selected analytes.
In a scientific article recently published by the Autonomous University of Barcelona (UAB) in Atalanta, a new approach based on the usage of principal component analysis (PCA) in combination with different clustering indices is proposed to simultaneously assess the cross-response and the reproducibility of the different sensors in a single step, what allows to define which sensors may constitute an ET array for a given qualitative or quantitative application.
Overall, the main advantages of the proposed approach rely on its simplicity, both from the data analysis and experimental point of view.
Full article can be found here.