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TitleAn electronic tongue as a classifier tool for assessing perfume olfactory family and storage time-period
Author(s)Jarboui, Amira
Marx, Ítala M. G.
Veloso, Ana C. A.
Vilaça, Daniel
Correia, Daniela M.
Dias, Luís G.
Mokkadem, Yassin
Peres, António M.
KeywordsPerfume olfactory family
Perfume storage time-period
Potentiometric electronic tongue
Linear discriminant analysis
Simulated annealing algorithm
Issue dateFeb-2020
CitationJarboui, Amira; Marx, Ítala M. G.; Veloso, Ana C. A.; Vilaça, Daniel; Correia, Daniela M.; Dias, Luís G.; Mokkadem, Yassin; Peres, António M., An electronic tongue as a classifier tool for assessing perfume olfactory family and storage time-period. Talanta, 208, 120364-120364, 2020
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; 924 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 93100% (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.
Publisher version
AccessOpen access
Appears in Collections:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

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