Prediction of odor detection thresholds using partition coefficients

• Tipo: Artigo em Revista Científica Internacional
• Data: 2011

Autores

Oscar Rodríguez (Autor) FEUP; Miguel A. Teixeira (Autor) FEUP; Alírio E. Rodrigues (Autor) FEUP

Revista

Título: Flavour and Fragrance Journal

Vol. 26 Nº 6

Páginas: 421-428

ISSN: 0882-5734

Editora: Wiley-Blackwell

Indexação

ISI Web of Science

Scopus

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Outras ciências da engenharia e tecnologias

Outras Informações

Abstract (EN): A linear regression between odour detection thresholds and three basic physical properties (vapour pressure, water solubility and octanol/water partition coefficient) has been derived. The principles underlying this model are the transport process of the odorants from air to the olfactory neurons in the nasal epithelium. The regression was applied to odour detection thresholds measured from different authors separately, showing similar parameters. A general linear regression was obtained for odour detection threshold data from several authors and 121 chemicals. This regression allows a preliminary estimation of odour detection thresholds from literature data with fair accuracy. The coefficient of determination obtained, r2 = 0.769, indicates that these physical properties account for 77% of the odour threshold variance.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Notas: odour detection threshold; octanol–water partition coefficient; prediction model; fragrances