This work tries to demonstrate the potential of Near Infrared Spectroscopy combined with class-modelling and discriminant methods, for improvement of EVOO authentication. To cover that goal, 209 olive oil samples from the three mentioned categories (68 EVOO, 93 VOO and 48 LOO) were analyzed in a FT-NIR instrument coupled to an in-line fiber optic probe. The best models developed allow to classify correctly 82% of samples as EVOO and 84.93% as VOO. These results show that NIRS technology can be a great instrumental method to replace/complement the Panel Test.
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