Evidence map›Paper›PMID 32306881›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2020

Human odour thresholds are tuned to atmospheric chemical lifetimes.

Jonathan Williams, Akima Ringsdorf

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Chinese herbal medicines · 2023
    Review
  8. Article
  9. Human olfactory communication: current challenges and future prospects.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  10. Interdisciplinary challenges for elucidating human olfactory attractiveness.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Review
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

2 authors.

Jonathan WilliamsMax Planck Institute for Chemistry, Hahn-Meitner Weg 1, 55128 Mainz, Germany.
Akima RingsdorfMax Planck Institute for Chemistry, Hahn-Meitner Weg 1, 55128 Mainz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the odour thresholds (OT) and atmospheric lifetimes (AL) were compared for a suite of volatile organic compounds. It was found that odour threshold, as determined by the triangle bag method, correlated surprisingly well with atmospheric lifetime for a given chemical family. Molecules with short atmospheric lifetimes with respect to the primary atmospheric oxidant OH tend to be more sensitively detected by the human nose. Overall the correlation of odour threshold with atmospheric lifetime was better than with mass and vapour pressure. Several outliers from the correlations for particular chemical families were examined in detail. For example, diacetyl was an outlier in the ketone dataset that fitted the trend when its more important photolysis lifetime was included; and similarly, the relatively low odour threshold of carbonyl sulfide (OCS) was interpreted in terms of uptake by vegetation. The OT/AL relationship suggests that OH rate constants can be used as a first-order estimate for odour thresholds (and

Indexed as

Environmental MonitoringAtmosphereHumansOdorantsSmellVolatile Organic CompoundsVolatile Organic Compoundsatmospheric lifetimeevolutionodour thresholdolfactionvolatile organic compounds (VOCs)

Identifiers

PMID32306881
PMCPMC7209931

What OpenQuestion holds

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Registered trials

None linked

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.