Evidence map›Paper›PMID 36431988›Full record

ArticleMolecules (Basel, Switzerland)2022

OOPS, the Ontology for Odor Perceptual Space: From Molecular Composition to Sensory Attributes of Odor Objects.

Alice Roche, Nathalie Mejean Perrot, Thierry Thomas-Danguin

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Alice RocheCentre des Sciences du Goût et de l'Alimentation, INRAE, CNRS, Institut Agro, CNRS, Université Bourgogne Franche-Comté, F-21000 Dijon, France.
Nathalie Mejean PerrotUMR MIA 518, AgroParisTech, INRAE, Université Paris Saclay, F-75015 Paris, France.ORCID 0000-0003-3795-0838
Thierry Thomas-DanguinCentre des Sciences du Goût et de l'Alimentation, INRAE, CNRS, Institut Agro, CNRS, Université Bourgogne Franche-Comté, F-21000 Dijon, France.ORCID 0000-0002-9756-355X

Funding

conseil régional Bourgogne Franche-Comté 00National Research Institute for Agriculture, Food and Environment PhD FellowshipNational Research Institute for Agriculture, Food and Environment TRANSFORM ANS-ICEPAC, AIC-ModeExA2
6 · The paper itself

Abstract

When creating a flavor to elicit a specific odor object characterized by odor sensory attributes (OSA), expert perfumers or flavorists use mental combinations of odor qualities (OQ) such as Fruity, Green, and Smoky. However, OSA and OQ are not directly related to the molecular composition in terms of odorants that constitute the chemical stimuli supporting odor object perception because of the complex non-linear integration of odor mixtures within the olfactory system. Indeed, single odorants are described with odor descriptors (OD), which can be found in various databases. Although classifications and aroma wheels studied the relationships between OD and OQ, the results were highly dependent on the studied products. Nevertheless, ontologies have proven to be very useful in sharing concepts across applications in a generic way and to allow experts' knowledge integration, implying non-linear cognitive processes. In this paper, we constructed the Ontology for Odor Perceptual Space (OOPS) to merge OD into a set of OQ best characterizing the odor, further translated into a set of OSA thanks to expert knowledge integration. Results showed that OOPS can help bridge molecular composition to odor perception and description, as demonstrated in the case of wines.

Indexed as

OdorantsSmellDatabases, FactualHumansWineexpert knowledgeodorodorantodor descriptorodor qualityperceptual spacewine

Identifiers

PMID36431988
PMCPMC9698817

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.