A mixed sensor array for the classification of olive oil

Electronic noses using in the same array different sensor technologies have yet been proposed as a method to increase discrimination performances. In this paper two arrays based on porphyrins coated QMB and sol-gel prepared SnO2 sensors are evaluated, compared and integrated. Olive oil has been considered as a selected case. In case of QMB sensors LSER model has been utilized to predict the sensitivity towards relevant compounds in olive oil headspace. An outer product analysis has been utilized to compare the performances of both arrays.