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

• Type: Article in International Scientific Journal
• Date: 2013

Authors

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

Journal

Title: Industrial & Engineering Chemistry Research

Vol. 52

Pages: 963-971

ISSN: 0888-5885

Publisher: American Chemical Society

Indexing

ISI Web of Knowledge - 3 Citations

Scopus - 2 Citations

Scientific classification

FOS: Engineering and technology

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9