On the design of new fragrances with perfumery radar 2.0: an approach for the prediction of the odour space

The classification of perfumes into olfactory families has been performed for years based on sensorial analysis using odour descriptors. However there is still not yet a standardized classification method universally accepted. This constraint represents simultaneously a challenge and a motivation in the search for a new and common methodology. The purpose of this review is to present the novel Perfumery Radar 2.0 methodology: a tool that starts from the composition of the liquid mixture and molecular structures of perfumery raw materials together with their corresponding olfactory qualities to predict and characterise the odour space. This tool was validated with sensorial classifications from experts using different fragrances with known compositions and commercial ones, showing a very good predictive accuracy.