Advisor(s)
Abstract(s)
The identification of more than three perfumes is difficult and no analytical tool can completely replace the
human olfactory system for fragrance classification. Indeed, no analytical system can mimic the human fragrance
perception, being the recognition of perfume aroma patterns by conventional or sensor-based analytical tools a
challenging task. For the perfume sector, the possibility of applying fast, cost-effective and green analytical
devices for perfume analysis would represent a huge economic revenue. Since the perfume aroma pattern will
depend on the composition of the liquid phase and on the diffusion properties of their volatile components, this
work aimed to apply a potentiometric electronic tongue, comprising non-specific cross-sensitive lipid polymeric
membranes, combined with chemometric techniques, as a novel perfume classifier. The multisensors device
allowed establishing perfumes’ unique fingerprints, which were successfully used to discriminate men from
women perfumes, to identify the perfume aroma family (Citric-Aromatic, Floral, Floral-Fruity, Floral-Oriental,
Floral-Woody, Woody-Oriental and Woody-Spicy) and, assessing the perfume storage time-period (≤ 9 months;
9–24 months; and, ≥ 24 months). The established linear discriminant models were based on single-run potentiometric
profiles gathered by sub-sets of sensors selected using the simulated annealing algorithm, which
enabled achieving correct classification rates of 93–100% (for leave-one-out cross-validation procedure). The
satisfactory performance of the electronic tongue demonstrates the versatility of the proposed approach as a
practical perfume preliminary classifier sensor device, which industrial application may be foreseen in a near
future, contributing to a green-sustained economic growth of the perfume industry.
Description
Keywords
Linear discriminant analysis Perfume olfactory family Perfume storage time-period Potentiometric electronic tongue Simulated annealing algorithm
Citation
Jarboui, Amira; Marx, Ítala M.G.; Veloso, Ana C.A.; Vilaça, Daniel; Correia, Daniela M.; Dias, Luís G.; Mokkadem, Yassin; Peres, António M. (2020). An electronic tongue as a classifier tool for assessing perfume olfactory family and storage time-period. Talanta. ISSN 0039-9140. 208, p. 1-9