Mostrar el registro sencillo del ítem
dc.contributor.author | Zarzo Castelló, Manuel | es_ES |
dc.date.accessioned | 2021-02-10T04:31:45Z | |
dc.date.available | 2021-02-10T04:31:45Z | |
dc.date.issued | 2020-02 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/160987 | |
dc.description.abstract | [EN] In order to guide consumers in their purchase of a new fragrance, one approach is to visualize the spectrum of men's or women's fragrances on a two-dimensional plot. One of such sensory maps available is the Hexagon of Fragrance Families. It displays 91 women's perfumes inside a polygon, so that each side accounts for a different olfactory class. In order to discuss this chart, odor profiles were obtained for these fragrances and additional feminine ones (140 in total, launched from 1912 to 1990). An olfactory dataset was arranged by coding numerically the descriptions obtained from Fragrantica and Osmoz websites, as well as from a perfume guide. By applying principal component analysis, a sensory map was obtained that properly reflected the similarities between odor descriptors. Such representation was equivalent to the map of feminine fragrances called Givaudan Analogies, comprised of five major categories. Based on the results, a modified version of the Hexagon based on 14 categories was proposed. The first principal component explained preference for daytime versus nighttime wear, and regression models were fitted in order to estimate such preferences according to the odor profiles. The second component basically discriminated floral versus chypre (mossy-woody) fragrances. Results provide a fundamental basis to develop standard sensory maps of women's fragrances. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Cosmetics | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Odor analysis | es_ES |
dc.subject | Fragrance | es_ES |
dc.subject | Olfactory psychophysics | es_ES |
dc.subject | Smell perception | es_ES |
dc.subject | Odor descriptor | es_ES |
dc.subject.classification | ESTADISTICA E INVESTIGACION OPERATIVA | es_ES |
dc.title | Multivariate analysis of olfactory profiles for 140 perfumes as a basis to derive a sensory wheel for the classification of feminine fragrances | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/cosmetics7010011 | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat | es_ES |
dc.description.bibliographicCitation | Zarzo Castelló, M. (2020). Multivariate analysis of olfactory profiles for 140 perfumes as a basis to derive a sensory wheel for the classification of feminine fragrances. Cosmetics. 7(11):1-20. https://doi.org/10.3390/cosmetics7010011 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/cosmetics7010011 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 20 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 7 | es_ES |
dc.description.issue | 11 | es_ES |
dc.identifier.eissn | 2079-9284 | es_ES |
dc.relation.pasarela | S\402601 | es_ES |
dc.description.references | Kaeppler, K., & Mueller, F. (2013). Odor Classification: A Review of Factors Influencing Perception-Based Odor Arrangements. Chemical Senses, 38(3), 189-209. doi:10.1093/chemse/bjs141 | es_ES |
dc.description.references | Osmoz Website for Olfactory Exploration of Men’s and Women’s Commercial Fragrances http://www.osmoz.com/perfumes/search | es_ES |
dc.description.references | Fragrantica Online Encyclopedia of Perfume https://www.fragrantica.com/search/ | es_ES |
dc.description.references | Eurofragrance 2011: Feminine Fragrances Genealogy. Barcelona, Spain http://www.eurofragance.com/docs/26_2011_fem_geneology_eurofragance.jpg | es_ES |
dc.description.references | World of Perfumes; Caravan Fragancias SL: Zaragoza, Spain https://www.caravanfragancias.es/content/7-mundo-del-perfume | es_ES |
dc.description.references | Zarzo, M., & Stanton, D. T. (2009). Understanding the underlying dimensions in perfumers’ odor perception space as a basis for developing meaningful odor maps. Attention, Perception & Psychophysics, 71(2), 225-247. doi:10.3758/app.71.2.225 | es_ES |
dc.description.references | Zarzo, M. (2015). Underlying dimensions in the descriptive space of perfumery odors: Part II. Food Quality and Preference, 43, 79-87. doi:10.1016/j.foodqual.2015.02.018 | es_ES |
dc.description.references | Teixeira, M. A., Barrault, L., Rodríguez, O., Carvalho, C. C., & Rodrigues, A. E. (2014). Perfumery Radar 2.0: A Step toward Fragrance Design and Classification. Industrial & Engineering Chemistry Research, 53(21), 8890-8912. doi:10.1021/ie403968w | es_ES |
dc.description.references | Cadoret, M., Lê, S., & Pagès, J. (2009). A Factorial Approach for Sorting Task data (FAST). Food Quality and Preference, 20(6), 410-417. doi:10.1016/j.foodqual.2009.02.010 | es_ES |
dc.description.references | Kostov, B., Bécue-Bertaut, M., & Husson, F. (2014). An original methodology for the analysis and interpretation of word-count based methods: Multiple factor analysis for contingency tables complemented by consensual words. Food Quality and Preference, 32, 35-40. doi:10.1016/j.foodqual.2013.06.009 | es_ES |
dc.description.references | Veramendi, M., Herencia, P., & Ares, G. (2013). Perfume Odor Categorization: To What Extent Trained Assessors and Consumers Agree? Journal of Sensory Studies, 28(1), 76-89. doi:10.1111/joss.12025 | es_ES |
dc.description.references | Zarzo, M. (2019). Understanding the Perceptual Spectrum of Commercial Perfumes as a Basis for a Standard Sensory Wheel of Fragrances. Cosmetics, 7(1), 3. doi:10.3390/cosmetics7010003 | es_ES |
dc.description.references | Olfactive Families of Fragrances according to the French Society of Perfumers https://www.parfumeurs-createurs.org/fr/filiere-parfum/les-familles-olfactives-102 | es_ES |
dc.description.references | Chastrette, M., Elmouaffek, A., & Sauvegrain, P. (1988). A multidimensional statistical study of similarities between 74 notes used in perfumery. Chemical Senses, 13(2), 295-305. doi:10.1093/chemse/13.2.295 | es_ES |
dc.description.references | Boelens, H. (1983). Structure—activity relationships in chemoreception by human olfaction. Trends in Pharmacological Sciences, 4, 421-426. doi:10.1016/0165-6147(83)90475-3 | es_ES |
dc.description.references | Fenko, A., Schifferstein, H. N. J., Huang, T.-C., & Hekkert, P. (2009). What makes products fresh: The smell or the colour? Food Quality and Preference, 20(5), 372-379. doi:10.1016/j.foodqual.2009.02.007 | es_ES |
dc.description.references | Zarzo, M. (2012). What is a Fresh Scent in Perfumery? Perceptual Freshness is Correlated with Substantivity. Sensors, 13(1), 463-483. doi:10.3390/s130100463 | es_ES |
dc.description.references | HARPER, R. (1975). SOME CHEMICALS REPRESENTING PARTICULAR ODOUR QUALITIES. Chemical Senses, 1(3), 353-357. doi:10.1093/chemse/1.3.353 | es_ES |
dc.description.references | Fragancias del Mundo, SL. Murcia, Spain http://fragrancesoftheworld.es | es_ES |
dc.description.references | Milotic, D. (2003). The impact of fragrance on consumer choice. Journal of Consumer Behaviour, 3(2), 179-191. doi:10.1002/cb.131 | es_ES |
dc.description.references | Lindqvist, A. (2012). Perfume Preferences and How They Are Related to Commercial Gender Classifications of Fragrances. Chemosensory Perception, 5(2), 197-204. doi:10.1007/s12078-012-9119-7 | es_ES |
dc.description.references | Yokoyama, K., & Ebisawa, F. (1993). Detection and evaluation of fragrances by human reactions using a chemical sensor based on adsorbate detection. Analytical Chemistry, 65(6), 673-677. doi:10.1021/ac00054a004 | es_ES |