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Prediction of odour detection thresholds using partition coefficients

Title
Prediction of odour detection thresholds using partition coefficients
Type
Article in International Scientific Journal
Year
2011
Authors
Oscar Rodríguez
(Author)
FEUP
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Miguel A. Teixeira
(Author)
FEUP
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Alírio Rodrigues
(Author)
FEUP
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Journal
Vol. 26 No. 6
Pages: 421-428
ISSN: 0882-5734
Publisher: Wiley-Blackwell
Other information
Authenticus ID: P-002-K3C
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, r(2) = 0.769, indicates that these physical properties account for 77% of the odour threshold variance. Copyright (C) 2011 John Wiley & Sons, Ltd.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 8
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