A portable Raman sensor for the rapid discrimination of olives according to fruit quality

► The work described here aims to determine the potential of low-resolution Raman spectroscopy for the discrimination of olives before the oil processing stage in order to discriminate healthy and diseased olives. ► Low-resolution Raman spectroscopy was applied together with multivariate procedures to achieve this aim. ► Supervised classification methods were then applied. ► The best results were obtained using the KNN method, with prediction abilities of 100% for 'sound' and 97% for 'ground' in an independent validation set.