ArticleChemical senses2012
An algorithm for 353 odor detection thresholds in humans.
Article in Chemical senses, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Machine learning reveals structural determinants of odor detection thresholds and identifies high-potency food odorants.NPJ science of food · 2026Article
- Modelling the odor profile of fungal Solid-State Fermentation.NPJ science of food · 2026Article
- Odor Sampling Bags Enable Reliable Delivery of Controlled Odor Concentrations.bioRxiv : the preprint server for biology · 2026Article
- Nanoodor Particles Deliver Drugs to Central Nervous System via Olfactory Pathway.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Formaldehyde and asthma: a plausibility?Archives of toxicology · 2025Review
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- A principal odor map unifies diverse tasks in olfactory perception.Science (New York, N.Y.) · 2023Article
- Article
- Article
- Phytochemical Profile ofPlants (Basel, Switzerland) · 2023Article
- Utilisation of QSPR ODT modelling and odour vector modelling to predict Cannabis sativa odour.PloS one · 2023Article
- Scents in the stack: olfactometric proficiency testing with an emission simulation apparatus.Environmental science and pollution research international · 2018Article
- Human symptom responses to bioeffluents, short-chain carbonyls/acids, and long-chain carbonyls in a simulated aircraft cabin environment.Indoor air · 2017Article
- The Regular Interaction Pattern among Odorants of the Same Type and Its Application in Odor Intensity Assessment.Sensors (Basel, Switzerland) · 2017Article
- Receptor arrays optimized for natural odor statistics.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Use of a modified vector model for odor intensity prediction of odorant mixtures.Sensors (Basel, Switzerland) · 2015Article
- From molecule to mind: an integrative perspective on odor intensity.Trends in neurosciences · 2014Review
- Predicting odor perceptual similarity from odor structure.PLoS computational biology · 2013Article
Corrections and comments
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4 authors.
Funding
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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