Prediction Model for the Odor Intensity of Fragrance Mixtures: A Valuable Tool for Perfumed Product Design

• Tipo: Artigo em Revista Científica Internacional
• Data: 2013

Autores

Miguel Teixeira (Autor) FEUP; Oscar Rodriguez (Autor) FEUP; Alírio Rodrigues (Autor) FEUP; Rebecca Selway (Autor) Outra; Michelle Riveroll (Autor) Outra; André Chieffi (Autor) Outra

Revista

Título: Industrial & Engineering Chemistry Research

Vol. 52

Páginas: 963-971

ISSN: 0888-5885

Editora: American Chemical Society

Indexação

ISI Web of Knowledge - 3 Citações

Scopus - 2 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias

Outras Informações

ID Authenticus: P-002-174

DOI: 10.1021/ie302538c

Abstract (EN): In this work a previous model developed to account for the odor intensity of liquid perfumes was validated using sensory evaluations performed by two different panels, one of professional perfumers and another of nontrained individuals (consumers). For that purpose, several fragrance mixtures containing three perfumery raw materials (having different physicochemical properties) and a solvent were formulated attending to the expertise of experienced perfumers. These mixtures were then placed on textiles, allowed to evaporate, and then were subjected to experimental olfactory evaluations, being their perceived intensity rated by perfumers and nontrained panelists. The perceived odor intensity of these samples was also predicted using our model that considers fragrance release and intensity perception. The results obtained show a good correlation with the ratings from both perfumers and nontrained panelists. In this way, it was shown that odor intensity can be predicted using a structured model which accounts for the evaporation and olfactory perception of fragrances.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 9