Literature DB >> 21976369

An algorithm for 353 odor detection thresholds in humans.

Michael H Abraham1, Ricardo Sánchez-Moreno, J Enrique Cometto-Muñiz, William S Cain.   

Abstract

One hundred and ninety three odor detection thresholds, ODTs, obtained by Nagata using the Japanese triangular bag method can be correlated as log (1/ODT) by a linear equation with R(2) = 0.748 and a standard deviation, SD, of 0.830 log units; the latter may be compared with our estimate of 0.66 log units for the self-consistency of Nagata's data. Aldehydes, acids, unsaturated esters, and mercaptans were included in the equation through indicator variables that took into account the higher potency of these compounds. The ODTs obtained by Cometto-Muñiz and Cain, by Cometto-Muñiz and Abraham, and by Hellman and Small could be put on the same scale as those of Nagata to yield a linear equation for 353 ODTs with R(2) = 0.759 and SD = 0.819 log units. The compound descriptors are available for several thousand compounds, and can be calculated from structure, so that further ODT values on the Nagata scale can be predicted for a host of volatile or semivolatile compounds.

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Year:  2011        PMID: 21976369      PMCID: PMC3278675          DOI: 10.1093/chemse/bjr094

Source DB:  PubMed          Journal:  Chem Senses        ISSN: 0379-864X            Impact factor:   3.160


  40 in total

1.  A model for odour thresholds.

Authors:  Michael H Abraham; Joëlle M R Gola; J Enrique Cometto-Muniz; William S Cain
Journal:  Chem Senses       Date:  2002-02       Impact factor: 3.160

2.  Determinants for nasal trigeminal detection of volatile organic compounds.

Authors:  J Enrique Cometto-Muñiz; William S Cain; Michael H Abraham
Journal:  Chem Senses       Date:  2005-09-01       Impact factor: 3.160

3.  Air to blood distribution of volatile organic compounds: a linear free energy analysis.

Authors:  Michael H Abraham; Adam Ibrahim; William E Acree
Journal:  Chem Res Toxicol       Date:  2005-05       Impact factor: 3.739

4.  Gas to olive oil partition coefficients: a linear free energy analysis.

Authors:  Michael H Abraham; Adam Ibrahim
Journal:  J Chem Inf Model       Date:  2006 Jul-Aug       Impact factor: 4.956

5.  Nasal pungency and odor of homologous aldehydes and carboxylic acids.

Authors:  J E Cometto-Muñiz; W S Cain; M H Abraham
Journal:  Exp Brain Res       Date:  1998-01       Impact factor: 1.972

6.  Characterization of the odor properties of 101 petrochemicals using sensory methods.

Authors:  T M Hellman; F H Small
Journal:  J Air Pollut Control Assoc       Date:  1974-10

7.  Draize Eye Scores and Eye Irritation Thresholds in Man Combined into one Quantitative Structure-Activity Relationship.

Authors:  M H Abraham; R Kumarsingh; J E Cometto-Muniz; W S Cain
Journal:  Toxicol In Vitro       Date:  1998-08       Impact factor: 3.500

8.  A cut-off in ocular chemesthesis from vapors of homologous alkylbenzenes and 2-ketones as revealed by concentration-detection functions.

Authors:  J Enrique Cometto-Muñiz; Michael H Abraham
Journal:  Toxicol Appl Pharmacol       Date:  2008-04-01       Impact factor: 4.219

9.  Trigeminal and olfactory chemosensory impact of selected terpenes.

Authors:  J E Cometto-Muñiz; W S Cain; M H Abraham; R Kumarsingh
Journal:  Pharmacol Biochem Behav       Date:  1998-07       Impact factor: 3.533

10.  Odor and chemesthesis from exposures to glutaraldehyde vapor.

Authors:  William S Cain; Roland Schmidt; Alfredo A Jalowayski
Journal:  Int Arch Occup Environ Health       Date:  2007-04-12       Impact factor: 2.851

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  7 in total

Review 1.  From molecule to mind: an integrative perspective on odor intensity.

Authors:  Joel D Mainland; Johan N Lundström; Johannes Reisert; Graeme Lowe
Journal:  Trends Neurosci       Date:  2014-06-17       Impact factor: 13.837

2.  Receptor arrays optimized for natural odor statistics.

Authors:  David Zwicker; Arvind Murugan; Michael P Brenner
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-21       Impact factor: 11.205

3.  Human symptom responses to bioeffluents, short-chain carbonyls/acids, and long-chain carbonyls in a simulated aircraft cabin environment.

Authors:  C P Weisel; N Fiedler; C J Weschler; P A Ohman-Strickland; K R Mohan; K McNeil; D R Space
Journal:  Indoor Air       Date:  2017-06-26       Impact factor: 5.770

4.  The Regular Interaction Pattern among Odorants of the Same Type and Its Application in Odor Intensity Assessment.

Authors:  Luchun Yan; Jiemin Liu; Shen Jiang; Chuandong Wu; Kewei Gao
Journal:  Sensors (Basel)       Date:  2017-07-13       Impact factor: 3.576

5.  Scents in the stack: olfactometric proficiency testing with an emission simulation apparatus.

Authors:  Stephan Stöckel; Jens Cordes; Benno Stoffels; Dominik Wildanger
Journal:  Environ Sci Pollut Res Int       Date:  2018-06-20       Impact factor: 4.223

6.  Use of a modified vector model for odor intensity prediction of odorant mixtures.

Authors:  Luchun Yan; Jiemin Liu; Di Fang
Journal:  Sensors (Basel)       Date:  2015-03-09       Impact factor: 3.576

7.  Predicting odor perceptual similarity from odor structure.

Authors:  Kobi Snitz; Adi Yablonka; Tali Weiss; Idan Frumin; Rehan M Khan; Noam Sobel
Journal:  PLoS Comput Biol       Date:  2013-09-12       Impact factor: 4.475

  7 in total

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